Self-Efficacy, Attachment Style and Service Delivery of Elementary School Counseling

Kimberly Ernst, Gerta Bardhoshi, Richard P. Lanthier

This study explored the relationships between demographic variables, self-efficacy and attachment style with a range of performed and preferred school counseling activities in a national sample of elementary school counselors (N = 515). Demographic variables, such as school counselor experience and American School Counselor Association (ASCA) National Model training and use, were positively related to performing intervention activities that align with the ASCA National Model. Results of hierarchical regression analyses supported that self-efficacy beliefs also predicted levels of both actual and preferred service delivery of intervention activities. Interestingly, self-efficacy beliefs also predicted higher levels of performing “other” non-counseling activities that are considered to be outside of the school counselor role. An insecure attachment style characterized by high anxiety predicted a lower preference for intervention activities and also predicted the discrepancy between actual and preferred “other” non-counseling activities, revealing a higher preference for performing them.

Keywords: school counselor, ASCA National Model, self-efficacy, attachment style, service delivery

Professional school counselors are important contributors to education and serve an essential role in the academic, personal, social and career development of all students (American School Counselor Association [ASCA], 2012). Over the past decade, school counselors have been increasingly called upon to embrace data-driven, evidence-based standards of practice (ASCA, 2012; Erford, 2016) that bolster the achievement of all students (Shillingford & Lambie, 2010). Comprehensive developmental school counseling programs that are consistent with the ASCA National Model are currently considered best practice (ASCA, 2012) and identified as an effective means of delivering services to all students (Burnham & Jackson, 2000; Carey & Dimmitt, 2012; Gysbers & Henderson, 2012).

Data from school counseling research indicate that comprehensive developmental school counseling programs make a positive difference in student outcomes (Carey & Dimmitt, 2012; Scarborough & Luke, 2008). These programs are shown to impact overall student development positively, including academic, career and emotional development, as well as academic achievement (Fitch & Marshall, 2004; Lapan, Gysbers, & Petroski, 2001; Sink & Stroh, 2003). Furthermore, a range of individual school counselor activities and interventions is associated with positive changes in a number of important student outcomes, including academic performance, school attendance, classroom behavior and self-esteem (Whiston, Tai, Rahardja, & Eder, 2011).

However, studies examining actual school counselor practice indicate that school counselors spend a significant amount of time on activities that are not reflective of ASCA best practices, including clerical, administrative and fair share duties that take them away from performing essential school counseling activities (Bardhoshi, Schweinle, & Duncan, 2014; Burnham & Jackson, 2000; Foster, Young, & Hermann, 2005; Scarborough & Luke, 2008). A factor impeding school counselors’ ability to perform activities that align with best practices includes being burdened with time-consuming tasks that are outside their scope of practice (Bardhoshi et al., 2014). This may stem from either the historically ambiguous school counselor role (Gysbers & Henderson, 2012) or from competing demands from numerous stakeholders who may not fully understand the components of an effective school counseling program (Bemak & Chung, 2008). Indeed, school counselors report not spending adequate time engaged in the professional activities that they prefer (Scarborough, 2005; Scarborough & Luke, 2008), even though these preferences are consistent with best practice recommendations (Scarborough & Culbreth, 2008). Therefore, for many school counselors, performing within their professional role and sticking to best practice recommendations regarding their service delivery can be challenging and stressful (McCarthy, Kerne, Calfa, Lambert, & Guzmán, 2010).

Given that school counseling program implementation and interventions that align with ASCA are associated with positive outcomes for students in a variety of domains, and that tension exists between the actual and preferred practice of school counselors, the question now becomes: What factors contribute to effective school counseling service delivery? Studies indicate a positive relationship between years of experience and school counselor practice (Scarborough & Culbreth, 2008; Sink & Yillik-Downer, 2001), as it may take several years of experience to implement the breadth and complexity of interventions in a programmatic manner. Research outside the field of school counseling also has expanded beyond demographic variables to indicate that a number of individual characteristics, such as attachment style (Dozier, Lomax Tyrrell, & Lee, 2001; Hazan & Shaver, 1987), emotional stability, locus of control, self-esteem (Judge & Bono, 2001) and self-efficacy (Judge & Bono, 2001; Larson & Daniels, 1998), are related to an individual’s work performance.

To understand the underlying mechanisms that affect school counselor work performance, studies have explored potential organizational (e.g., school climate, perceived administration support), structural (e.g., training, supervision), and personal variables (e.g., experience, self-efficacy) related to counselor practice (Scarborough & Luke, 2008). Two school counselor interpersonal variables are of special focus in this study: self-efficacy and attachment. Individuals with higher levels of self-efficacy set higher goals for themselves and show higher levels of commitment, motivation, resilience and perseverance in achieving set goals (Bodenhorn & Skaggs, 2005), making the examination of school counselor self-efficacy important in investigating effective service delivery. On the other hand, attachment theory highlights the process by which early childhood development influences an individual’s capacity to relate to others and regulate emotion. Many lines of theoretical and empirical research in education and psychology have examined how attachment characteristics influence adult functioning, supporting the introduction of school counselor attachment style as a factor relating to work performance (Desivilya, Sabag, & Ashton, 2006; Hazan & Shaver, 1987; Kennedy & Kennedy, 2004; Marotta, 2002). School counselor self-efficacy and attachment characteristics are personal attributes conceptualized to contribute to the ability of school counselors to perform intervention activities that align with ASCA recommendations and positively impact student development and achievement.

 

Self-Efficacy

Self-efficacy involves beliefs about one’s own capability to successfully perform given tasks to accomplish specific goals (Lent & Hackett, 1987). As individuals confront important problems and tasks, they choose actions based on their beliefs of personal efficacy (Bandura, 1996). Self-efficacy may be a critical factor in school counselor work performance. Two meta-analytic studies of empirical research examining self-efficacy have shown that for a variety of occupations, there is a positive relationship between self-efficacy and work performance (Larson & Daniels, 1998; Stajkovic & Luthans, 1998). Studies examining school counselor self-efficacy have been a more recent addition to the literature, with reported results indicating that self-efficacy is related to school counselor gender, teaching experience (Bodenhorn & Skaggs, 2005), and supportive staff and administrators (Sutton & Fall, 1995).

In a study that extended the findings of previous self-efficacy research (Sutton & Fall, 1995), Scarborough and Culbreth (2008) examined factors that predicted discrepancies between actual and preferred practice in school counselors. Both self-efficacy beliefs and the amount of perceived administrative support predicted the difference between school counselors’ actual and preferred practice, with higher levels of support and outcome expectancy predicting higher levels of preferred intervention activities performance. In the current study, we plan to extend Scarborough and Culbreth’s work by examining the links between comprehensive elementary school counselor practice and overall school counselor self-efficacy while introducing attachment characteristics as a possible variable related to school counselor performance.

 

Attachment

Attachment theory describes how early experiences with attachment figures (e.g., mother) create inner representations referred to as internal working models. Those internal working models then shape patterns of behavior in response to significant others and to stressful situations (Mikulincer, Shaver, & Pereg, 2003). Adult attachment categories reflect those created in infancy and childhood and include secure, preoccupied (or anxious), dismissing (or avoidant), and fearful (both anxious and avoidant) styles (Bartholomew & Horowitz, 1991). In adults, attachment style encompasses affective responses in a variety of relationships, including co-workers, and can be activated by a number of stressful situations, including a stressful work environment (Mikulincer & Shaver, 2003, 2007).

Working effectively in a job or career contributes in meaningful ways to life satisfaction, self-esteem and social status, whereas not working effectively (and experiencing overload or burnout) can be extremely stressful and can cause serious emotional and physical difficulties (Mikulincer & Shaver, 2007). Specifically for school counselors, Wilkerson and Bellini (2006) reported that emotion-focused coping is a significant predictor of burnout, lending support to the examination of interpersonal factors in school counselor practice. To work effectively and not succumb to burnout, school counselors may have to activate self-regulatory skills associated with attachment, such as exploring alternatives, refining skills, adjusting to variation in tasks and role demands, and exercising self-control (Mikulincer & Shaver, 2007). In the field of school counseling, challenges include facing multiple demands and conflicting responsibilities (Cinotti, 2014); therefore, interpersonal communication, negotiation and adaptation become essential. Although attachment theory has received very little attention in school counseling literature (Pfaller & Kiselica, 1996), existing research suggests that various aspects of work are likely to be affected by individual differences in attachment style (Mikulincer & Shaver, 2007).

The purpose of this study was to explore demographic and interpersonal factors related to elementary school counseling practice. This research employed an associational survey research design to examine the relationships between school counselor overall self-efficacy, attachment style, and a range of performed and preferred activities in a sample of ASCA members who are elementary school counselors. Building on previous studies, we controlled for the anticipated variance in school counselor activities that might be contributed by previously identified demographic variables, including years of experience, ASCA National Model training and ASCA National Model use (Scarborough & Culbreth, 2008).

The first research question inquired about the relationship between self-efficacy beliefs and school counselor performed and preferred intervention activities that align with ASCA, controlling for the potential effect of the identified demographic variables. We hypothesized that self-efficacy beliefs would predict both school counselor preference and actual performance of these core activities, after controlling for the potential effect of relevant demographic variables. The second research question inquired about the relationship between attachment style and both counseling and non-counseling activities, controlling for the effect of the identified demographic variables. We hypothesized that school counselors who endorse higher levels of anxiety may prefer to engage in fewer intervention activities and more non-counseling activities. This could be in an effort to please others and conform to the administrative, fair share and clerical demands of the job. No hypothesis was forwarded on attachment avoidance and discrepancies between actual and preferred activities, as related research has not examined a possible relationship.

 

Method

 

Participants

The sample for this study consisted of elementary-level school counselors whose e-mail addresses were listed on the ASCA national database. We made the decision to select only elementary school counselors because of the unique emphasis on student personal and social development at this level (Dahir, 2004), as well as the distinct developmental needs of the student population that could potentially tap into school counselor attachment (Scarborough, 2005). Recruitment e-mails were sent to 3,798 ASCA member elementary school counselors through SurveyMonkey, employing a 3-wave multiple contact procedure. The original sample was adjusted to 3,550 because of undeliverable e-mail addresses. In total, 663 individuals responded to the survey, yielding a return rate of 19%. A priori power analysis using G*Power software determined that a minimum sample of 107 participants likely was necessary when conducting a multiple regression analysis with three independent variables. This G*Power calculation was based on an alpha level of .05, minimum power established at .80 and a moderate treatment effect size, and was conducted in the planning stages to inform needed sample size and minimize the probability of Type II error (Faul, Erdfelder, Buchner, & Lang, 2009). Therefore, surveys with incomplete data were completely removed from the analysis, resulting in a final sample size of 515 and a usable response rate of 14.5%.

The sample consisted of 89.6% females and 9.8% males (3 participants did not indicate gender). In terms of race and ethnicity, 86.6% were Caucasian, 6% African American, 2.9% Hispanic, 1.6% Multiracial, 1.4 % Asian/Pacific Islander, and 0.4% Native American (1.2% did not indicate race or ethnicity). The predominately female and Caucasian sample is consistent with school counseling research and reflective of the population (Bodenhorn & Skaggs, 2005).

Years of experience ranged from < 1 to 38, with a mean of 10.24 years. School enrollment ranged from 70 to 3,400 students, with a mean of 583.49 students. The large maximum enrollment number was caused by the inclusion of elementary-level counselors who were employed in K–12 schools. Counselor caseload ranged from 6 to 1,500, with the mean being 454.68 students. The mean age of respondents was 44 years, with a standard deviation of 11.02 years, and an age range spanning from 25 to 68 years. Regarding ASCA National Model (2012) training, only 8.5% reported not having received any training, with the overwhelming majority of the participants having received training from professional development opportunities sought on their own (67.6%), as part of master’s-level coursework (53.2%), or through their school district (31.5%). Only 5.2% of respondents reported no use of the ASCA National Model, with 14% reporting limited use, 33.8% some use, 31.5% a lot of use, and 15% extensive use.

 

Instruments

Instrumentation consisted of four measures, including a demographic questionnaire, the School Counselor Activity Rating Scale (SCARS; Scarborough, 2005), the School Counselor Self-Efficacy Scale (SCSE; Bodenhorn & Skaggs, 2005) and the Experiences in Close Relationships Scale-Short Form (ECR-Short Form; Wei, Russell, Mallinckrodt, & Vogel, 2007).

Demographic questionnaire. A demographic questionnaire consisting of 14 questions collected relevant information regarding participant age, gender, ethnicity, region, school setting (i.e., private, public) and level (e.g., elementary, middle), student enrollment, counselor caseload characteristics, degree earned, licensure and certification, years of experience and training in and use of the ASCA National Model. Demographic data were selected for inclusion based on a literature review indicating important relationships between these variables and school counseling outcomes (Scarborough & Culbreth, 2008; Sink & Yillik-Downer, 2001).

     School Counselor Activity Rating Scale (SCARS). The SCARS is a 48-item scale reflecting best practice recommendations for school counselors based on the ASCA National Standards (Campbell & Dahir, 1997) and the ASCA National Model (ASCA, 2003). It was designed to measure the frequency with which school counselors perform specific work activities, and the preferred frequency of performing those activities (Scarborough, 2005; Scarborough & Culbreth, 2008). The instrument contains five sections—counseling, consultation, curriculum, coordination and “other” activities. Participants indicate their actual and preferred performance of common school counseling activities on a frequency scale (1 = rarely do this activity to 5 = routinely do this activity), including “other” non-counseling activities that fall outside the school counselor role (e.g., coordinate the standardized testing program). A SCARS total score is calculated by adding the totals from each subscale or calculating mean scores, with higher scores indicating higher levels of engagement.

The SCARS validation study supported a four-factor solution representing the counseling, coordination, consultation and curriculum categories. Analysis on the “other” school counseling activities subscale, consisting of 10 items reflecting non-counseling activities, resulted in three factors: clerical, fair share and administrative. Convergent and discriminant construct validity also were reported (Scarborough, 2005). Cronbach’s alpha reliability coefficients, as reported by Scarborough on the eight subscales of actual and preferred dimensions, were .93 and .90 for curriculum; .84 and .85 for coordination; .85 and .83 for counseling; .75 and .77 for consultation; .84 and .80 for clerical; .53 and .58 for fair share; and .43 and .52 for administrative. In the current study, the Cronbach’s alpha coefficients for actual and preferred practice were .90 and .83 for curriculum; .84 and .86 for coordination; .80 and .81 for counseling; and .76 and .73 for consultation.

The intervention total subscale in our study consisted of the composite of the counseling, consultation, curriculum and coordination subscales, with Cronbach’s alpha reliability coefficients of .91 on both the actual and the preferred use dimensions. Similar to Scarborough (2005), the “other” duties subscale, consisting of clerical, fair share and administrative duties, had moderate reliability, with Cronbach’s alpha of .63 on the actual, and .68 on the preferred. The activities total subscale consisted of a combination of all SCARS subscales, with Cronbach’s alpha being .89 on the actual and .90 on the preferred. Various studies have been conducted since the initial validation of the SCARS and support its use as a tool yielding valid and reliable school counselor process scores (Scarborough & Culbreth, 2008; Shillingford & Lambie, 2010).

School Counselor Self-Efficacy Scale (SCSE). The SCSE (Bodenhorn & Skaggs, 2005) is a 43-item

self-report instrument designed to measure school counselor self-efficacy. The SCSE uses a 5-point Likert-type scale to measure responses (ranging from 1 = not confident to 5 = highly confident) and consists of five subscales: personal and social development; leadership and assessment; career and academic development; collaboration; and cultural acceptance. A composite mean is calculated to demonstrate overall self-efficacy. SCSE responses were evaluated for reliability, omission, discrimination and group differences (Bodenhorn & Skaggs, 2005), with results supporting high reliability for the composite scale (α = .95). Analyses also indicated group differences demonstrating score validity for the scale—participants who had teaching experience, had been practicing for three or more years, and were trained in and used the ASCA National Standards reported higher levels of self-efficacy. The total scale SCSE alpha in the current study was .96.

     Experiences in Close Relationships Scale (ECR)-Short Form. The ECR-Short Form (Wei et al., 2007) is a 12-item self-report measure designed to assess a general pattern of adult attachment. The ECR-Short Form is based on the longer Experiences in Close Relationship Scale (Brennan, Clark, & Shaver, 1998). Factor analysis revealed two dimensions of adult attachment, anxiety and avoidance, which have received professional consensus (Bartholomew & Horowitz, 1991; Mikulincer & Shaver, 2003). High scores on either or both of these dimensions are indicative of an insecure adult attachment orientation. Low levels of attachment anxiety and avoidance indicate a secure orientation (Bartholomew & Horowitz, 1991; Brennan et al., 1998; Lopez & Brennan, 2000; Mallinckrodt, 2000).

Internal consistency was adequate with coefficient alphas from .77 to .86 for the anxiety subscale and from .78 to .88 for the avoidance subscale, and confirmatory factor analyses provided evidence of construct validity with a two-factor model (i.e., anxiety and avoidance), indicating a good fit for the data. Reported test-retest reliabilities averaged .83. For the current study, ECR-S alphas were .75 for the anxiety subscale and .81 for the avoidance subscale.

Data Analysis
Data were analyzed using the Statistical Package for Social Sciences (SPSS Version 18), with multiple hierarchical regressions used to answer both research questions. Hierarchical regression was selected to determine the relative importance of the predictor variables, over and above that which can be accounted for by other previously identified predictors regarding school counselor service delivery (i.e., years of experience, ASCA National Model training and ASCA National Model use). Predictor variables included self-efficacy beliefs (SCSE total score), attachment anxiety (ECR-Short Form Anxiety subscale) and attachment avoidance (ECR-Short Form Avoidance subscale). Outcome variables included actual (SCARS total Actual scale) and preferred (SCARS total Preferred scale) intervention activities, “other” non-counseling activities (SCARS Other Activities scale) and the discrepancy between actual and preferred intervention and “other” activities.

Prior to analysis of the research questions, correlations were conducted among the predictor and outcome variables. Identified predictors (i.e., years of experience, ASCA National Model training and ASCA National Model use) were also correlated with the SCARS criterion variables. For the hierarchical regression, identified predictors were entered first as a block, followed by the new predictors included in this study (Field, 2009). This predetermined order of entry is congruent with Cohen and Cohen’s (1993) recommendations for using hierarchical regression and entering the demographic variables in the initial step. Additionally, the order of entry reflected the principle of presumed causal priority (Cohen & Cohen, 1993; Petrocelli, 2003). For the second step, we decided to enter attachment anxiety prior to avoidance, as we anticipated it would be more important in predicting the outcome variables (Field, 2009). Reported effect size estimates reflect the following guidelines: r of .1 (small), .3 (medium) and .5 (large); and R2 of .01 (small), .09 (medium) and .25 (large; Cohen, 1988).

 

Results

We first examined the correlation among the identified school counselor demographic variables (control variables) and the actual and preferred SCARS variables. Years of experience showed a small but significant positive correlation with actual intervention activities (r = .20, p < .05). ASCA National Model use showed a moderate positive correlation with actual intervention activities (r = .44, p < .05), but smaller relationships with preferred intervention activities (r = .15, p < .05). Additional correlation analysis revealed relationships among school counseling experience and the main predictor variables that were of interest in this study. For example, years of experience showed a significant, although small, negative correlation to attachment anxiety (r = -.14, p < .05). Both attachment anxiety and avoid-
ance showed negative correlations to self-efficacy (r = -.20 and -.15, p < .05, respectively). Lastly, self-
efficacy showed a small positive correlation with years of experience (r = .25, p < .05) and ASCA National Model use (r =.27, p < .05).

Self-Efficacy Predicting Actual and Preferred Intervention and Other Activities
     Multiple hierarchical regression analyses were conducted to determine if self-efficacy was positively associated with actual and preferred intervention activities, after controlling for demographic variables (see Table 1). Self-efficacy was the predictor variable and actual and preferred intervention activities were the criterion variables in separate analyses. Because years of experience, ASCA National Model training and ASCA National Model use were correlated with the SCARS criterion variables, these control variables were entered as a block prior to entering self-efficacy beliefs. The model for actual activities was significant: F(1, 506) = 112.37, p < .05, supporting the hypothesis. The standardized beta between self-efficacy and actual intervention activities was .40 and the effect size based on the adjusted R2 statistic indicated that 37% of the variance in actual activities was accounted for by self-efficacy, after blocking for the control variables, a large effect size. Results for preferred school counselor activities showed a similar result, as the model for preferred activities also was significant: F(1, 506) = 78.59, p < .05. The standardized beta between self-efficacy and preferred intervention activities was .39, and the adjusted R2 indicated 15% of the variance in preferred activities was accounted for by self-efficacy, after blocking for the control variables, a medium effect size.


Table 1.

Results from hierarchical multiple regression using self-efficacy to predict SCARS actual and preferred intervention activities

Block 1

Block 2

Predictor Variable

B

SE B

β

B

SE B

β

Actual
Experience (years)

0.01

0.00

 0.20*

0.01

0.01

0.10*

A.N.M. Training

-0.02

0.03

-0.60

-0.02

0.03

-0.03

A.N.M. Use

0.22

0.02

0.44*

0.17

0.02

0.34*

Self-Efficacy

0.45

0.04

0.40*

R2

0.23

0.37

F for change in R2

50.46*

112.37**

Preferred
Experience (Years)

0.00

0.00

 0.04

-0.00

0.00

-0.05

A.N.M. Training

-0.00

0.03

-0.01

-0.01

0.03

-0.01

A.N.M. Use

0.06

0.02

0.15*

0.02

0.02

0.05

Self-Efficacy

0.37

0.04

0.39**

R2

0.02

0.15

F for change in R2

3.92*

78.59*


Note: Analysis N = 511 (actual & preferred); * p < .05. A.N.M. denotes ASCA National Model.

 

Similar hierarchical multiple regression analyses were conducted using school counselor self-efficacy as the predictor variable and “other” school counseling activities as the criterion variable, after controlling for demographic variables (see Table 2). The models for preferred and actual “other” activities were both significant; F(1, 506) = 20.89, p < .05; and F(1, 506) = 13.60, p < .05, respectively. The standardized beta for actual “other” activities was .21 and for preferred “other” activities was .17. Self-efficacy accounted for (R2 =) 43% of the variance in actual “other” activities performed and (R2 =) 33% of preferred “other” activities, indicating large effect sizes.
Table 2.

Results from hierarchical multiple regression using self-efficacy to predict SCARS actual and preferred “other” non-counseling activities

Block 1

Block 2

Predictor Variable

B

SE B

β

B

SE B

β

Actual
Experience (Years)

0.00

0.00

0.02

-0.00

0.00

-0.03

A.N.M. Training

0.04

0.04

0.05

0.04

0.04

-0.05

A.N.M. Use

-0.04

0.03

-0.06

-0.07

0.03

-0.11

Self-Efficacy

0.29

0.06

0.21*

R2

0.00

0.43

F for change in R2

0.63

20.89*

Preferred
Experience (Years)

0.01

0.00

 0.07

0.00

0.00

0.03

A.N.M. Training

-0.02

0.04

-0.03

-0.02

0.04

-0.03

A.N.M. Use

-0.00

0.03

-0.0

-0.00

0.03

-0.00

Self-Efficacy

0.22

0.06

0.17*

R2

0.02

0.33

F for change in R2

1.13

13.60**


Note: Analysis N = 511 (actual & preferred); * p < .05. A.N.M. denotes ASCA National Model.
Attachment Predicting Actual and Preferred Intervention and “Other” Activities
     Hierarchical multiple regressions were used to assess the ability of attachment style to predict school counselor interventions and “other” non-counseling activities, after controlling for demographic variables. In our study, attachment style was measured by the ECR-Short Form (Wei et al., 2007) on two dimensions—attachment anxiety and avoidance. As in the regression analyses for counselor self-efficacy, years of experience, ASCA National Model training and ASCA National Model use were entered as a block prior to entering attachment anxiety and avoidance. Attachment anxiety, but not attachment avoidance, revealed predictive utility for the SCARS preferred intervention subscale scores, showing a negative relationship: F(1, 505) = 2.60, p < .05. The standardized beta for preferred intervention activities was -.11 and attachment anxiety accounted for only 2% of the variance for preferred intervention activities, a small effect size.

To test whether attachment anxiety was associated with discrepancies between a range of actual and preferred school counseling activities, separate regression analyses were performed. We used attachment anxiety and attachment avoidance as the predictor variables and the discrepancy score variables that were created by subtracting the actual from the preferred scores for the actual and preferred intervention activities and “other” activities subscales. As before, years of experience, ASCA National Model training and ASCA National Model use were correlated with the SCARS criterion variables and were entered as a block prior to entering the attachment variables. For intervention activities, a relationship was not supported for either attachment anxiety or attachment avoidance. However for the “other” non-counseling activities, a relationship between attachment anxiety and the actual/preferred discrepancy revealed a statistically significant result over and above that accounted for by demographic variables: F(1, 505) = 3.16, p < .05 with a standardized beta of .12. Therefore, attachment anxiety predicted a discrepancy that revealed a higher preference for performing “other” non-counseling activities. However, the effect size showed that anxiety accounted for only 1% of the variance in the “other” activities discrepancy score (see Table 3).


Table 3

Results from hierarchical multiple regression using attachment to predict SCARS intervention scores and the actual/prefer discrepancy scores for intervention and “other” activities

Block 1

Block 2

Block 1

Block 2

Predictor Variable

B

SE B

β

B

SE B

β

B

SE B

β

B

SE B

β

Intervention Actual

Intervention Discrepancy

Experience (years)

0.01

0.00

 0.20*

0.02

0.00

 0.19*

-0.01

0.00

-0.18*

-0.01

 0.00

 -0.18*

A.N.M. Training

-0.02

0.03

 -0.03

-0.02

0.02

 -0.02

0.01

0.03

  0.02

0.02

0.03

 0.02

A.N.M. Use

0.22

0.02

 0.44*

0.22

0.02

 0.44*

-0.16

0.02

-0.34*

0.16

0.02

 0.34*

Anxiety

-0.03

0.02

 -0.06

-0.01

0.02

 -0.03

Avoidance

0.01

0.02

 0.02

0.00

0.02

 -0.01

R2

0.23

0.00

0.15

         0.00

F for change in R2

       50.46*

0.34

        29.69*

0.33

Intervention Preferred

“Other” Discrepancy

Experience (years)

0.00

0.00

 0.04

0.00

0.03

0.02

0.04

0.03

 0.06

0.03

0.03

 0.04

A.N.M. Training

0.00

0.03

 -0.01

0.00

0.03

0.00

-0.61

0.31

 -0.10*

-0.57

0.31

-0.09

A.N.M. Use

0.06

0.02

0.15*

0.06

0.02

 0.14*

0.57

0.24

 0.12*

0.57

0.23

 0.12*

Anxiety

-0.05

0.02

-0.11*

-0.58

0.23

 0.12*

Avoidance

0.01

0.02

0.02

0.29

0.25

 0.06

R2

0.02

 0.01

0.02

0.01

F for change in R2

         3.92*

         2.6

         3.21*

         3.16*


Note:
Analysis N = 511 (actual & preferred); * p < .05. A.N.M. denotes ASCA National Model.

 

Discussion

To date, few studies have examined how school counselor personal characteristics are linked to successful programs (Scarborough & Luke, 2008). Using a nationwide sample, we examined how self-efficacy is related to a range of school counselor activities in elementary schools and introduced attachment style as a potential variable related to school counselor practice. Years of experience working as a school counselor as well as the training in and use of the ASCA National Model in program implementation were identified from the literature as variables of importance and were included in our analyses.

As anticipated the number of years of experience was related to actual performance of intervention activities by school counselors. Also, school counselors in this sample who had received more training in the ASCA National Model were more likely to perform the intervention activities of counseling, consultation, curriculum and coordination. These activities are considered core activities for effective program implementation. Furthermore, counselors who endorsed more fully implementing the ASCA National Model within their program were significantly more likely to perform these core intervention activities and also indicated a preference for spending their time in these activities. This result is in line with previous findings supporting that counselors who incorporated the National Standards for School Counseling Programs (Campbell & Dahir, 1997) into their programs were more likely to have preferences that aligned with professional standards and actually practiced as they preferred (Scarborough & Culbreth, 2008). It is promising that over 75% of school counselors in the current study reported some use to extensive use of the ASCA National Model. The large number of counselors who reported ASCA National Model use could be indicative of a recent focus to define standards of practice and increase positive student outcomes through systematic and programmatic delivery. With regard to non-counseling activities, results did not support a relationship with ASCA National Model training and use.

     Looking beyond the demographic variables, the findings of the current study support previous research that found important links between school counselor self-efficacy beliefs and program implementation (Bodenhorn, Wolfe,  & Airen, 2010). In the current study, overall school counselor self-efficacy beliefs predicted the delivery of activities aligned with the ASCA National Model above and beyond the demographic variables analyzed. School counselors who believed they were capable of performing in accordance with activities aligned with the ASCA National Standards were more likely to actually perform and want to perform school counseling intervention activities consistent with the ASCA National Model.

It is interesting to note that school counselors with higher self-efficacy beliefs were more likely to perform non-counseling activities when compared to counselors with lower self-efficacy. These results suggest that counselors with higher levels of self-efficacy beliefs may not discriminate between intervention and “other” non-counseling activities, by performing both more frequently. Highly efficacious school counselors may simply do more, whether or not the activity aligns with ASCA recommendations. As demands for school counselors increase and current expectations for school counselors do not perfectly align with professional best practices (Cinotti, 2014), highly efficacious school counselors may tackle all duties earnestly in order to address their responsibilities.

In the current study, attachment anxiety negatively predicted school counselor preferred engagement in intervention activities (i.e., counseling, consultation, curriculum, coordination), indicating that anxiously attached school counselors actually preferred to perform fewer intervention activities. Additionally, school counselor attachment anxiety predicted a discrepancy between actual and preferred activities that are considered outside the scope of school counseling practice, including clerical, administrative and fair share responsibilities. When considering the relationship between attachment anxiety and this discrepancy, which revealed a higher preference for performing these “other” activities, there are a few possible explanations. Perhaps anxiously attached counselors reporting a greater discrepancy on the “other” subscale find it more difficult to align their identity with the counseling professional identity model promoted by ASCA. Although these non-counseling activities do not align with ASCA recommendations, they are nevertheless expected and valued by supervisors. Research has suggested that anxiously attached individuals may tend to take on additional work obligations as a way to please others and tend to be motivated by approval of colleagues and supervisors (Hazan & Shaver, 1987). Additionally, anxiously attached workers seek close relationships with their colleagues and supervisors and have more difficulty resisting unreasonable demands in the workplace (Leiter, Day, & Price, 2015). Given that school administrators directly influence the assignment of inappropriate duties performed by school counselors, and that strong advocacy and leaderships skills are essential to negotiate an identity and role that is more aligned with ASCA recommendations (Cinotti, 2014), anxiously attached school counselors may find it more difficult to test those relationships and may instead endorse the identity expected by their supervisors. Indeed, the literature points out that school administrators perceive school counselors as operating mainly from an educator—versus a counselor—professional identity (Cinotti, 2014).

There was a low variability in attachment scores of this particular sample (i.e., school counselors endorsed relatively high levels of self-efficacy and low levels of attachment insecurity), which could have contributed to the results of this research. Within the clinical training component of their education, school counselors are taught the importance of ongoing self-exploration and to develop awareness of their responses within the context of clinical practice. It is possible that education and training in the importance of self-awareness could interrupt effects on school counselor practice that are related to higher levels of attachment anxiety.

Counselors in this sample consistently indicated that they preferred to spend more time in intervention activities that are in keeping with best practices and are related to positive outcomes for students and preferred to spend less time in non-counseling related activities. When compared to other research using the SCARS, they also reported engaging in fewer non-counseling activities. As performing non-counseling activities is associated with burnout in school counselors (Bardhoshi et al., 2014), this is a positive finding that might be reflective of the current direction of the profession.

 

Study Limitations

The potential for self-selection and social desirability bias was a limitation of this study. Only elementary school counselors who were ASCA members were invited to participate. It is possible that those members who did volunteer to participate may differ in a variety of ways from those individuals who did not respond. Given the $115 membership fee to join the association, it is possible that counselors from wealthier school districts, with higher salaries or access to a counseling budget assisting with the membership fee, are more heavily represented. School counselors who chose to become members of ASCA may vary distinctly in work-related performance, self-efficacy beliefs and attachment style than those counselors who chose not to become members of the association. ASCA members likely have more professional development opportunities and more exposure to information regarding best practices, which could impact both their self-efficacy beliefs and practice.

Despite our use of multiple contact procedures to obtain an acceptable response rate, a limitation worth noting is the lower response rate. Lower response rates are often noted for online surveys (Dillman, Smyth, & Christian, 2014), including in the field of counseling (Granello & Wheaton, 2004). Although we received over 200 undeliverable e-mails, which reduced the original sample size, there is no way to accurately estimate how many individuals actually received the survey in their inbox (Granello & Wheaton, 2004). It is indeed possible that spam-filtering software resulted in many invitations not reaching their intended recipients. Therefore, our reported response rate represents a conservative estimate (Vespia, Fitzpatrick, Fouad, Kantamneni, & Chen, 2010). In addition, it was assumed that the attrition of 100 participants was likely the result of the time required to complete the survey. Our analysis supported that there were no statistically significant differences between the two groups (i.e., completers and non-completers) on demographic variables and that our final sample size was adequate for the selected statistical tests. However, readers should use caution when generalizing the results of this study to all elementary school counselors. A final consideration is that causal relationships cannot be derived from the results of this study, as the research design was relational in nature.

 

Implications for School Counseling Practice
     Previous studies have indicated that higher levels of school counselor self-efficacy are positively associated with higher levels of comprehensive program implementation (Bodenhorn et al., 2010). For many, the route to increased self-efficacy is through personal and vicarious accomplishments (Bodenhorn et al., 2010; Scarborough & Culbreth, 2008; Sutton & Fall, 1995). Therefore, opportunities to learn and practice the skill set specific to school counseling must be promoted in the education and training of students.

School counselor educators have a crucial role in ensuring that future school counselors have a strong foundation with which to begin their careers. Counselor education programs have often not provided adequate preparation for school counselors because there has been incongruence between their training and their actual roles in schools (McMahon, Mason, & Paisley, 2009). A novice school counselor who has had education and training that is consistent with his or her actual work role will have greater chances of acquiring increased self-efficacy from the start. In a cascade, self-efficacy will likely promote stronger program implementation and, in turn, positive student outcomes.

More specifically, requiring trainees to provide a range of services will support the transition from training to work. Trainees need opportunities to provide specific interventions (e.g., counseling individuals and groups, teaching classroom lessons) while also evaluating the impact of these interventions, teaching them how to use data in their programs and potentially boosting self-efficacy beliefs (Akos & Scarborough, 2004). Trainees should also be given opportunities to engage in coordination activities to gain experience in the organizational aspects of a comprehensive developmental school counseling program. Finally, counselor educators who supervise internship courses must maintain strong communication with site supervisors to ensure continuity and appropriate trainee experiences.

Although effect sizes related to attachment characteristics in this study were small, they imply that attachment theory could be a useful adjunct to understanding school counselor practice. Using attachment concepts as a guide for supervision or structured professional development opportunities could assist school counselors’ ongoing efforts to understand their own behavior and motivations in the work setting. Graduate coursework specific to attachment constructs has the potential to be a useful component of school counselor education, especially because the cultivation of healthy interpersonal relationships has a tremendous potential to facilitate positive change in schools.

 

Recommendations for Future Counseling Research
The moderately strong association in this study between school counselor self-efficacy and activities recommended by the ASCA National Model indicates that understanding the factors affecting school counselor self-efficacy warrants further attention. Research outside the field of school counseling has identified a positive relationship between attachment security and higher levels of competence and self-efficacy beliefs (Mikulincer & Shaver, 2007). Given that self-efficacy was significantly negatively correlated to both attachment anxiety and avoidance in this study, additional studies examining these relationships may clarify possible connections between school counselor self-efficacy beliefs and attachment characteristics. We did not examine whether SCSE subscales were differentially related to school counselor activities. Doing so could identify professional areas about which counselors feel most efficacious and those that need bolstering. Explaining the reasons some school counselors perform more successfully is an enduring goal of counseling research (Sutton & Fall, 1995).

Our results did indicate significant relationships between attachment anxiety and school counselor practice. Specifically, attachment anxiety predicted a lower preference for intervention activities, as well as a discrepancy between actual and preferred “other” non-counseling activities that revealed a higher preference for performing them. Although small, these results could lead to further understanding of the factors related to differences in school counselor practice. As this study has taken a broad view of how school counselor practice could be affected by attachment dimensions, qualitative studies examining the unique experiences of anxiously attached counselors in their work environment have the potential to reveal important perspectives. Identifying how attachment style may contribute to the endorsement and performance of specific intervention activities could lead to a greater understanding of school counseling practice.

 

Conflict of Interest and Funding Disclosure

The authors reported no conflict of interest

or funding contributions for the development

of this manuscript.


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Kimberly Ernst is a counselor in independent practice in Washington, DC. Gerta Bardhoshi, NCC, is an Assistant Professor at the University of Iowa. Richard P. Lanthier is an Associate Professor at George Washington University. Data for this article originated from the first author’s doctoral dissertation. Correspondence can be addressed to Gerta Bardhoshi, College of Education, N352 Lindquist Center, Iowa City, IA 52242-1529, gerta-bardhoshi@uiowa.edu.

The SuperSkills Model: A Supervisory Microskill Competency Training Model

Dusty Destler

Streamlined supervision frameworks are needed to enhance and progress the practice and training of supervisors. This author proposes the SuperSkills Model (SSM), grounded in the practice of microskills and supervision common factors, with a focus on the development and foundational learning of supervisors-in-training. The SSM worksheet prompts for competency-based supervisory behaviors from pre-session to post-session, highlighting a culturally aware supervisory relationship; goals and tasks; and feedback and reflection. The versatility of the SSM allows for utility in various settings, accommodates supervisor developmental level, and may be used to evaluate supervisor-in-training development.

Keywords: supervision, supervisors-in-training, SuperSkills Model, microskills, common factors

The profession of counseling has experienced an evolution regarding counseling training methods over the past decades (Capuzzi & Gross, 2009). Compared to literature on training counselors, literature on training supervisors has received less attention and the topic is less understood (Watkins, 2010). Thus, it is not surprising that systems of development for counselors-in-training (CITs) are more advanced than systems for supervisors-in-training (SITs; Watkins, 2010). For example, Ivey, Normington, Miller, Morrill, and Haase (1968) introduced microskills to the field of mental health care, and after four decades, the approach remains a training prototype (Ridley, Kelly, & Mollen, 2011); yet supervisors still lack a standard training model (Watkins, 2012b). Although much overlap exists in counseling and supervision tasks, the process of supervision adds more skill complexity than clinical tasks alone (Pearson, 2000). Further complicating the situation, many clinicians have assumed supervisory positions without training (Knapp & VandeCreek, 1997). Research has found that many supervisors feel incompetent and could be well-served by more supervisory training (Uellendahl & Tenenbaum, 2015).

A movement toward efficient methods of training supervisors should be informed by existing theory. Identifying with a theoretical model is paramount to facilitating growth in CITs (Lampropoulos, 2003). Various models of supervision have been proposed. Bernard and Goodyear (2014) broadly delineated first-wave supervision models into one of three categories: models grounded in psychotherapy theory, developmental models, and process models. Second-wave models are more eclectic, with the ability to combine or cycle between first-wave models as needed. The third-wave models reflect a common-factors approach, gleaning substantiated elements of supervision from the literature to amalgamate into a best-practices method (Bernard & Goodyear, 2014). Despite the combined breadth of models, there remains a lack of knowledge on what constitutes sound supervisory training, signifying the need for consolidation and movement toward supervisory competency models (Milne, Reiser, Cliffe, & Raine, 2011). Established theories of supervision may be enhanced when translated through microskills, which focus on specific behaviors to link theory and practice (Ivey, 1971; Ivey et al., 1968).

Any model that is chosen or created for effective supervisory training should be competency-based, and microskills may be a viable option. The microskills approach has been adapted for the training of supervisors with successful outcomes (James, Milne, & Morse, 2008; Richardson & Bradley, 1984; Russell-Chapin & Ivey, 2004), and there has been a call in the profession to move toward more competency-based forms of supervisor training (Milne et al., 2011). The SuperSkills Model (SSM) proposed in this article combines microskills training with supervision common factors to create a framework with which to enhance the development and training of supervisors. The SSM worksheet provides a consolidated and user-friendly tool to assist with the supervision of SITs (please contact the author for a copy of the worksheet).

A Brief Background of Microskills

The use of microskills as a training instrument was born from the world of education. Succinctly, microtraining uses a systematic format to teach individual helping skills and may utilize recordings of practice, step-by-step training, and self-observation (Ivey et al., 1968). Fortune, Cooper, and Allen (1967) simplified and codified teaching skills into a model they called micro-teaching, aiming to provide students with an introduction to the experience and practice of teaching. The model provided experienced teachers with a vehicle for training novice teachers and gave the research team more control to track training effects.

When Ivey and colleagues (1968) introduced microskills within mental health care, they proposed the training of microcounseling, which focused on the specific behaviors of counseling skills, as useful in counselor education for the quick and effective teaching of counselor trainees. Ivey and colleagues’ adaptation of microskills to the mental health field allowed counselor preparation programs to move from nebulous training techniques to a more systematic approach, providing supervisors with a more delineated method to track trainees’ progress in actual skill behaviors. The structured method of tracking progress assists supervisors in the process of gatekeeping, making it easier to filter out candidates with difficulties or barriers to learning the core counseling skills (Lambie & Ascher, 2016).

The concept of utilizing microskills in the process of training supervisors has been broached by other researchers. Richardson and Bradley (1984) combined microskills and supervision training to create a microsupervision model, which breaks down the supervision skill acquisition process to assessment, modeling, and transfer. These three stages suggest how an SIT’s supervisor identifies skill areas for growth, provides educative and corrective information to the SIT, and allows the SIT opportunities to integrate and display new skills. Russell-Chapin and Ivey (2004) utilized microskill design to develop the Microcounseling Supervision Model (MSM). The Counselling Interview Rater Form (CIRF) is a component of the MSM, which breaks down the counseling session into stages that are then comprised of specific skills to be assessed (Russell-Chapin & Ivey, 2004). The MSM is a useful tool to practice providing constructive feedback, because the CIRF “is mostly used as a method of providing positive, corrective, qualitative and quantitative feedback for supervisees” (Russell-Chapin & Ivey, 2004, p. 167). James, Milne, & Morse (2008) adapted microskills to the dialogue used by supervisors within a cognitive-behavioral supervisory approach. These models can be useful in the development of supervisors; however, there is a need for the creation of a supervision model that rises above current approaches, yet provides enough focus to be specific to clinical supervision (Morgan & Sprenkle, 2007). The proposed SSM acts to fill potential deficiencies by balancing focus between more detailed supervisory actions and a wider breadth of supervisory behaviors.

The Progression of Supervision Models

Clinical supervision is recognized in the mental health professions as the signature pedagogy (Barnett, Erickson Cornish, Goodyear, & Lichtenberg, 2007; Goodyear, Bunch, & Claiborn, 2006). Introducing students to the foundational skills within mental health care has been a practice of supervisors for over 40 years (Ridley et al., 2011). Different professions within mental health care vary in job function and purpose, but the skills, processes, and objectives of supervision remain somewhat uniform across disciplines and cultures (Bernard & Goodyear, 2014). Supervision as an intervention shares characteristics with other interventions—namely teaching, psychotherapy, and consultation—yet is distinct (Milne, 2006). The unique aspects of supervision include the propensity to be provided by and to individuals in the same profession, an evaluative and hierarchical nature, and an extension over time (Bernard & Goodyear, 2014).

The process of supervision is often referred to as isomorphic, meaning that the relationship between client and counselor is often similar in structure to the concurrent relationship between counselor and supervisor (Koltz, Odegard, Feit, Provost, & Smith, 2012). However, this triadic configuration does not take a fourth entity into account: the relationship between the supervisor and the supervisor’s supervisor. This lapse is partially because of the underrepresentation of supervisory training knowledge in the counseling literature (Richardson & Bradley, 1984).

Another parallel between counseling and supervision is the utilization of theory to inform practice. Models of supervision may be classified in a number of ways. Bernard and Goodyear (2014) broadly delineated first-wave supervision models into one of three categories: models grounded in psychotherapy theory, developmental models, and process models. Psychotherapy-based models utilize psychotherapy’s theoretical approaches as a framework for use in supervision. Choice of psychotherapy-based models is often informed by the supervisor’s theoretical approach when in the counselor role. Familiarity with one’s own theory may provide the supervisor a level of comfort and an added sense of competence. Developmental models focus on the developmental needs of the CIT based on the status, pace, or standard of professional development. Focus on individual development allows the supervisor to tailor interventions to the current needs of the supervisee. Also, under the developmental model umbrella, models of social roles take further consideration of CIT contextual needs, based on such factors as cultural or experiential background (Aten, Strain, & Gillespie, 2008). Process models focus on the process within each supervision session, spotlighting the relationship and interactions between supervisor and CIT. Bernard and Goodyear (2014) proposed that these broad categories are best utilized in conjunction with one another.

From the broad first-wave supervision models, Bernard and Goodyear (2014) identified second-wave models of the next generation: combined models and target-issue models. Combined supervision models may blend multiple approaches within one of the above three categories (e.g., two psychotherapy theories) or between the above three categories (e.g., one developmental model and one process model). This approach may allow supervisors to provide what is needed to themselves and their supervisees within the supervisory process. Target-issue models hone in on specific elements or needs within supervision. These may be helpful to supervisors who need a more direct, concentrated approach to address a specific issue that arises in supervision.

Third-wave models have emerged from continued research on specific supervision models, providing an index of evidence from which supervisors and researchers may benefit. A paucity of evidence for efficacy between supervision models has created a movement toward gleaning aspects found to be effective within supervision models (Sprenkle, 1999). Supervisory common factors refer to core components that remain consistent when cutting across models and perspectives (Watkins, Budge, & Callahan, 2015). Integrating different approaches to create common-factors models hinges on the assumption that supervision models are unique; by borrowing strengths from multiple models, new frameworks may be created to fill in weaknesses (Lampropoulos, 2003). For example, Lampropoulos (2003) used the notion of eclecticism by blending common supervisory pathways, stages, and processes to make a case for the incorporation of empirically validated practices both within and outside mental health care. Morgan and Sprenkle (2007) provided a similar process, utilizing broader supervision models and popular supervision conceptualizations to create a model focused on relationship, development, and role continuums in the supervisory position. Aten et al. (2008) described an integrative model that they referred to as transtheoretical.

The Case for Systematizing Supervisor Training

Aside from choosing a model of supervision, there are other elements that affect supervisory development. There are two environments supervisors practice within. Some assume the role in settings that primarily serve the public, acting as a supervisor to clinicians or interns working directly with clients. Others supervise in academic settings, primarily supervising the development of novice counseling students.

A large percentage of mental health professionals will ultimately act in a supervisory role (Norcross, Hedges, & Castle, 2002). This circumstance makes it especially perplexing that counseling professionals receive only minimal supervisory training (Pelling, 2008) and oftentimes no training at all (DeKruyf & Pehrsson, 2011). Supervisors are frequently placed into supervisory positions to learn on the job (Knapp & VandeCreek, 1997). Gonsalvez (2008) referred to this route of becoming a supervisor via the maxim see one, do one, teach one. When training does take place, it may come in the form of didactic (e.g., seminars, workshops, class instruction) or experiential (e.g., supervision of supervision) means (Watkins, 2012a). However, inconsistencies in training requirements for supervisors have been documented as recently as 2014 (Nate & Haddock, 2014). The Center for Credentialing & Education, an affiliate of the National Board for Certified Counselors, established the Approved Clinical Supervisor (ACS) credential, with 15 states having adopted the requirements as of 2016 (Center for Credentialing & Education, 2016). The compulsory conditions of becoming a supervisor still vary greatly.

Becoming a supervisor has developmental hurdles parallel to those of becoming a counselor (Milne, 2006). Processes and activities in both may look identical (Aten, Madson, & Kruse, 2008; Burns & Holloway, 1990). Encountering the shift in perspective from mental health practitioner to mental health supervisor can be troublesome (Watkins, 2013). SITs may experience feelings of anxiety and demoralization, trouble with forming a supervisory identity, and difficulty finding conviction about the meaningfulness of supervision (Watkins, 2013). Not unlike novice counselors, novice supervisors deal with the juggling of new skills and awareness, the discomfort of trying to find one’s own style, and self-doubt (Gazzola, De Stefano, Thériault, & Audet, 2013). These challenges may account for supervision models that aim to utilize SITs’ inherent therapeutic skills (Pearson, 2006).

The role of supervisor adds layers of responsibility that may not be present in the role of counselor alone. Counselors are responsible for advocating on behalf of clients (American Counseling Association [ACA], 2014); however, supervisors advocate for clients and CITs. The dual role of advocacy places the supervisor in the role of gatekeeper of the profession, charged with CIT development and the well-being of clients (Gaete & Ness, 2015). Balancing the duality of advocacy and evaluation may be taxing on new supervisors (Johnson, 2007).

The added responsibility of the supervisory role ushers in ethical issues beyond those incurred by clinicians alone (Rubin, 1997). Practitioners placed unwillingly into the supervisory role with little interest in the practice of supervision may pose a threat to the development of clinicians and future supervisors (Ladany, Mori, & Mehr, 2013). If trained in supervision by someone lacking passion for the practice, the meaningfulness of supervision is unlikely to be transmitted to the SIT (Watkins, 2013). It is more ideal to develop a supervisory identity while surrounded by others in a similar learning process (Watkins, 2013), a dynamic that may not be present for practitioners in the field learning new skills of supervision.

Essential Supervisory Microskills: The SuperSkills Model (SSM)

The purpose of the SSM is to fill the need for a functional training model focused on supervisory behaviors gleaned from the supervision literature and deemed to be common across research. The focus is less on (but may be combined with) conceptualizations of supervisor theory and roles, and more on practical utility of supervisory behavior and process before, during, and after a given supervision session. The goal of the SSM worksheet and each of the foci is to help SITs integrate important aspects of supervision into each session. With this approach and tool, SITs are not left to remember all topics simultaneously; instead, the checklist included in the worksheet assists with staying on task and works toward laying the foundation for more adept integration of key supervisory factors as SITs gain more experience. The SSM worksheet may be utilized in a checklist or written fashion, incorporated into necessary supervision notes for documentation purposes, and completed to varying degrees of formality. Depending on supervisory style, the worksheet may be used during a supervision session or supervision-of-supervision meeting, or outside of these (prior to and/or after session). The SSM worksheet also can be used as a tool for supervisors to track individual progress and accordance with supervisory common factors. Generally speaking, the SSM and its worksheet can be adapted to meet the needs of the individual and environmental context.

Within the SSM, there is an assumption that appropriate preparation has taken place prior to or concurrently with supervision (e.g., supervisory training, development of a supervision contract, continued growth toward approach and identity/style, alignment with a model or structure, vetting of supervisees, ethical and legal considerations). These assumptions suggest that the SSM is not a stand-alone method for teaching and learning supervision, but rather a means to assist the foundational learning of SITs and provide supervisors at any stage in development with continued prompting of current supervisory focal points. As new potential supervisory common factors emerge from the literature, focal points may be altered or added. The first element of the current SSM is a pre-session contemplation that encourages intentionality and consideration of focus in an upcoming supervision session. The second component of the SSM emphasizes tangible supervisory behaviors that work toward creating and fostering a strong supervisory relationship hinging on cultural interest and awareness. The third facet of the SSM highlights supervisory goals and tasks and differentiates between practical and process goal and task foci. Feedback and reflection is the SSM’s fourth dimension, which also gives consideration to SIT response to practical and process events, and includes attention to direct and indirect feedback and positive and constructive feedback. The final item of the SSM is post-session reflection, which allows for assessment of the supervision session. SITs may use this portion of the SSM to evaluate supervisory skill, consider future areas for focus, and document concerns or needs regarding the CIT.

Pre-Session

The first component of the SSM is pre-session reflection. Prior to beginning a supervision session, it may be necessary for an SIT to refer to notes from previous sessions to recall past areas of focus or pressing issues. A CIT may be working on specific counseling skills chosen for review in the upcoming supervision session and SITs need to be mindful of the focus for the session. The focus also includes supervisory skills that the SIT plans to intentionally practice, which should be written in the initial pre-session consideration on the worksheet. However, flexibility is necessary; when CITs experience difficult client presentations, such as suicidal ideation, SITs may need to adjust focus to best serve the development of the CIT and the supervisory environment (Hoffman, Osborn, & West, 2013). As client welfare falls on the shoulders of both the CIT and the supervisor, there may be a need for SITs to inquire for updates in matters that have legal implications (Branson, Cardona, & Thomas, 2015).

Coming into session considering one’s theoretical stance and supervisory style can be beneficial. Even though supervision is highly contextual with many areas to consider, supervision models act as a conceptual map to follow during sessions (Bernard & Goodyear, 2014). The “newness” of the supervisory role and the added layers of awareness may not equate to seamless use of a supervision model; however, using intention in supervision with regard to theory and style may aid continued understanding and improvement as a supervisor. The second pre-session consideration allows SITs to document intentions related to supervisory model, theory, or role.

Culturally Conscious Supervisory Relationships

The SSM’s second component is creating and maintaining a relationship with a focus on cultural factors. The supervisory relationship is a significant mediating factor for successful supervision outcomes (Ellis, 1991). Not only is supervisor focus on culture correlated with positive supervisory relationships (Schroeder, Andrews, & Hindes, 2009; Wong, Wong, & Ishiyama, 2013), but emphasizing culture fulfills the supervisor’s responsibility to facilitate deeper awareness of cultural realities for supervisees (Fukuyama, 1994). Bordin (1983) conceptualized the supervisory relationship as the emotional bond between supervisor and supervisee and one of the triadic components in the supervisory working alliance (SWA). When SITs bring cultural considerations into supervision, stronger SWAs are created (Bhat & Davis, 2007; Crockett & Hays, 2015). Consequently, a lack of comfort in the supervisory relationship may create a less conducive atmosphere for broaching cultural dialogues (White-Davis, Stein, & Karasz, 2016). The SWA positively affects the therapeutic alliance (DePue, Lambie, Liu, & Gonzalez, 2016), CIT satisfaction with supervision (Crockett & Hays, 2015), CIT willingness to disclose information (Gunn & Pistole, 2012; Mehr, Ladany, & Caskie, 2010), and CIT work satisfaction (Sterner, 2009).

The supervisory relationship is a large component of the SWA, and thus correlations of the SWA on other important supervisory factors may have bearing on building cultural relationships. SITs initiating productive conversations surrounding counseling self-efficacy (Ganske, Gnilka, Ashby, & Rice, 2015), CIT anxiety (Gnilka, Rice, Ashby, & Moate, 2016), and sources of stress and coping (Gnilka, Chang, & Dew, 2012; Sterner, 2009) may ultimately strengthen the supervisory relationship. Focus on these factors has been shown to increase the prevalence of CITs bringing up cultural issues in supervision (Nilsson, 2007). Likewise, supervisors who bring cultural considerations into supervision engender higher levels of supervisee self-efficacy in skill and multicultural competence (Constantine, 2001; Crockett & Hays, 2015; Kissil, Davey, & Davey, 2013; Ladany, Brittan-Powell, & Pannu, 1997; Vereen, Hill, & McNeal, 2008).

A culturally conscious supervisory relationship is beneficial to both supervision and counseling environments; thus, documenting relationship-building actions on the worksheet gives appropriate and necessary focus to the actual relationship-building behaviors by the SIT. Providing time in supervision to focus on CIT relationships in both professional/academic and personal settings is important because both domains influence professional development (Rønnestad & Skovholt, 2003) and may ultimately relate to deepening the supervisory relationship (Mutchler & Anderson, 2010). Challenging dominant ideologies in supervision also has positive implications for broaching the concept of power within the supervisory and counseling environments (Hernández & McDowell, 2010). It may be useful for an SIT to inquire about a CIT’s values, beliefs, and on what the counselor places importance, because highlighting culture and relationships in supervision works toward exemplifying the importance of focusing on culture to create therapeutic relationships with clients (Willis-O’Connor, Landine, & Domene, 2016). The SWA is compatible with a multicultural perspective in supervision (Bordin, 1983) and is considered transtheoretical, making the SWA adaptable to different counseling and supervisory theories (Bordin, 1983; Wood, 2005).

Goals and Tasks

The SSM’s third component, goals and tasks, is based on the two other components of Bordin’s (1983) SWA. These are important to include because the SWA may be the most commonly cited factor in supervision literature (Watkins, 2014b). The goals refer to mutually agreed upon and understood objectives between the SIT and supervisee pertaining to the development of the CIT. The tasks refer to the action steps taken to achieve those objectives and the negotiation between SIT and supervisee to frame these steps in appropriate and achievable ways. Goals help to focus and direct supervision sessions while tasks act to pursue and attain the goals (Watkins, 2014b). The SSM worksheet includes space for the SIT to write goals and tasks for the supervision session, and the 11-point Likert scales provide the means to document the degree to which goals/tasks are agreed upon and achieved.

It is natural for novice supervisors to function from the perspective of a clinician, considering that this framework may be most comfortable or available (Watkins, 2014a). However, in doing so, the SIT may miss important components of CIT growth (Ponton & Sauerheber, 2014). Focus for goals and tasks should be directed at the process of counseling the client and the process of becoming (or being) a counselor; the SIT must attend to the space where the counselor’s “professional” meets the “personal” (Ponton & Sauerheber, 2014). For example, if a supervisee is unsure how to proceed with a client’s presenting issue, sole focus on goals and tasks aimed at client conceptualization and practical measures may foster dependence within the CIT to seek answers externally and work against a sense of self-efficacy and independence. Likewise, only attending to goals and tasks centralized to the counselor’s personal process may miss the opportunity to locate practical skills. Balancing goals and tasks with emphasis on the CIT’s process (e.g., potential feelings of inadequacy, confusion, difficulty with ambiguity) and practical abilities (e.g., specific skill use, conceptualization through a specific theoretical lens) may address individual needs and applicable skills to facilitate growth as a counselor. Differences will exist in CIT personality, ability, and developmental progress; therefore, SITs need to determine the appropriate equilibrium between process and practical focus for each supervisee (Reising & Daniels, 1983). The SSM worksheet contains space for the consideration of both practical and process goals and tasks, and the level of agreement and achievement.

Feedback and Reflection

Feedback and reflection comprise the fourth component to the SSM. An integral component to the supervision process, feedback is considered to be a change mechanism consistent across supervisory theory (Goodyear, 2014). Developmental levels of CITs vary (Rønnestad & Skovholt, 2003) and may influence the style of feedback (e.g., direct, indirect). Using the example of CITs who self-criticize their demonstration of skill, it may be useful for SITs to provide direct positive feedback to communicate successful skill demonstration (e.g., “That is a good example of reflecting a feeling.”). However, it is important to be mindful that feedback is a learning mechanism and to gradually remove oneself as support and transfer responsibility to the CIT (van de Pol, Volman, & Beishuizen, 2010). To that end, SITs may consider using indirect feedback to assist CITs to self-identify strengths (e.g., “If you had to identify a skill you did really well, what would it be?”). Instances exist throughout counselor development calling for various levels of direction in supervision (Goodyear, 2014), and SITs will develop a feel for when to provide direct and indirect feedback as they gain experience. To assist with this process, the worksheet includes a conceptual continuum for SITs to document feedback as direct or helping the CIT to self-identify.

Similar to goals and tasks, feedback for CITs should encompass both skill and process components (Liddle, 1986). Focus on learning counseling skills increases a CIT’s professional competency and identity (Aladağ, Yaka, & Koç, 2014). The ability to make skills explicit helps CITs to know what to look for and may assist the CIT and SIT in providing guidance and structure to the feedback process (Russell-Chapin & Sherman, 2000). Likewise, allowing CITs to use self-reflection to explore personal process components and arrive at meaningful conclusions may help facilitate learning, growth, and development (Guiffrida, 2015). For an example of skill versus process focus, consider a CIT learning to reflect feelings. By reviewing a recording of a counseling session, the SIT may witness the client expressing anger; or the SIT may choose to focus on skill, prompting the CIT to try identifying what feeling is being expressed or how to effectively reflect anger to the client. By focusing on process, the SIT may explore the CIT’s relationship with anger (e.g., how others have displayed anger to the CIT or how the CIT expresses anger), as self-reflection could reveal a barrier toward accurately identifying and reflecting anger. The SSM worksheet contains both practical and process feedback and reflection sections for the SIT to consider.

It is an ethical imperative for supervisors to provide ongoing feedback and evaluation to CITs (ACA, 2014). Positive feedback to CITs has been found to increase counseling self-efficacy and lower anxiety, while negative feedback decreases counseling self-efficacy and elicits more anxiety (Daniels & Larson, 2001). Negative feedback may include such elements as vagueness, inconsiderate tone, hidden meaning, delay between an episode and reference to an episode, and subjectivity (Baron, 1988). Alternately, constructive feedback is relevant, shared immediately, factual, helpful, confidential, respectful, tailored, and encouraging (Ovando, 1994). Constructive feedback in supervision has been found to be the highest-ranked demand among CITs (Ladany, Lehrman-Waterman, Molinaro, & Wolgast, 1999), and when combined with microskills training, it has been found to contribute to learning effectiveness (Fyffe & Oei, 1979). CITs who do not receive constructive feedback may experience stagnation in skill progress (Russell-Chapin & Ivey, 2004). Constructive feedback can be challenging for SITs to provide (Motley, Reese, & Campos, 2014), especially because supervisors are trained as counselors and giving evaluative judgment may seem counterintuitive to the therapeutic skill set (Ladany et al., 1999). The struggles associated with constructive feedback may require supervisors to call upon the supervisory relationship, taking inventory of CIT self-efficacy and confidence levels, to inform how and when to provide constructive feedback (Daniels & Larson, 2001). Supervisor impediments to providing quality feedback are recognized by both CITs and SITs (Heckman-Stone, 2004); thus, the addition of positive and constructive feedback sections on the worksheet may prompt SITs to practice providing both forms of feedback to CITs. The explicit cue for feedback also acts as a practical measure to inform SITs’ recording of supervision progress notes following the supervision session.

Post-Session

The SSM’s final component is post-session reflection. Utilizing the post-session for documentation benefits the CIT and the SIT. Maintaining supervision notes is an ethically sound practice and can assist supervisors in documenting practical, ethical, and legal issues (Luepker, 2012). Keeping records of supervision also proves beneficial to the development of SITs’ style and theoretical stance (Bernard, 2014). Timely and accurate documentation may act as a future reminder for areas on which to focus for the CIT or SIT.

The supervision note may have an evaluative component to it. Where applicable, a supervisor may begin to evaluate a CIT based on criteria set by an associated institution (e.g., university, occupational setting) or on agreed-upon standards between the supervisor and CIT (e.g., a measure found in the literature based on specific need). Likewise, the SIT may utilize documentation to evaluate their progress as a supervisor. Each microskill suggestion may act as an area to consider for evaluation or self-evaluation. These areas may include progress on deepening the cultural relationship, assessment of supervisory actions in working toward agreed-upon goals, appraisal of goal achievement, appropriate balance of direct feedback and assisting the CIT to formulate their own answers, appropriate balance of focus on counseling instruction and personal process, examples of interventions consistent with a theoretical model or supervisory role, and exploration of countertransference during the session.

Discussion

The SSM’s flexibility and focus on a behavioral framework may be efficacious in training supervisors from varying cultural identities and helping SITs learn how to supervise counselors of differing backgrounds. CITs gain multicultural knowledge in their development as counselors; this continual learning process is suitable to microskill techniques, as research has shown that newly acquired skills can be employed during continued multicultural awareness (Hall & Richardson, 2014).

The flexibility of the SSM gives SITs freedom in pace and style of development. Just as neophyte counselors are to focus on their own skills and process in early training, gradually increasing their abilities to work effectively with clients, SITs may follow a similar path of needing to focus on supervisory abilities before providing effective supervision (Lampropoulos, 2003).

The freedom to be flexible in supervisory development is corroborated by existing models. Morgan and Sprenkle (2007) suggested a model that conceptualizes supervisor behaviors and roles on continuums, assuming that supervisors will have knowledge of their own styles and strengths to adjust and flex where needed. Goodyear (2014) created a model that provides SITs the ability to choose how to provide feedback, landing anywhere between direct instruction and self-directed learning. The SSM’s composition of common-factor components allows for adaptation to other models with both flexible and focused supervisory interventions. The SSM also utilizes updated research and literature to inform more specified behaviors associated with positive supervisory and therapeutic outcomes.

Conclusions

Supervision continues to become more recognized, accepted, and vital to the mental health professions for the preparation of multiculturally competent counselors (Watkins & Milne, 2014). There remains a dearth of information on how to effectively train supervisors, and a movement toward competency-based models has been suggested (Milne et al., 2011). Just as Ivey and fellow researchers (1968) adapted microskills training to counseling in order to study and bridge theory and practice, consolidating supervisory common factors “could not only provide a template for supervision research, but also for teaching and providing supervision as well” (Morgan & Sprenkle, 2007, p. 2). The SSM and accompanying worksheet are a step toward a simplified conceptualization and user-friendly tool to continue progressing supervision training and practice.

Conflict of Interest and Funding Disclosure

The authors reported no conflict of interest or funding contributions for the development of this manuscript.

 

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Dusty Destler is a doctoral candidate and Counseling Clinic Supervisor at Idaho State University – Meridian. Correspondence can be addressed to Dusty Destler, 1311 E. Central Drive, Meridian, ID 83642, dmdestler@gmail.com.

2017 Dissertation Excellence Award

TPC received entries for the fourth annual Dissertation Excellence Award from across the United States. After great deliberation, the TPC editorial board committee selected Hannah E. Acquaye to receive the 2017 Dissertation Excellence Award for her dissertation, The Relationship Among Posttraumatic Growth, Religious Commitment, and Optimism in Adult Liberian Former Refugees and Internally Displaced Persons Traumatized by War-Related Events.

Dr. Acquaye is a first-year Assistant Professor of counseling at Western Seminary in Portland, Oregon. Some of the classes she has taught include: theories in counseling, group counseling, research and evaluation in counseling, tests and measurement in counseling, and family systems therapy.

Prior to her position at Western Seminary, she was a doctoral student in the University of Central Florida’s counselor education program. In August 2016, Dr. Acquaye graduated with a Ph.D. after defending her research on refugee trauma and growth. She obtained her master’s degree in Ghana, her home country, where she worked with young adults in schools and churches. Recognizing her inability to help refugees who kept coming to Ghana, especially when they entered the school system, Dr. Acquaye decided to pursue a terminal degree to help her educate more people about assisting this unique population.

Her research passion encompasses counselors and their collaboration to bring interventions to survivors traumatized by war and/conflict, e.g., refugees, dislocated and/or relocated individuals and/or immigrants. To help marry the research and clinical work, Dr. Acquaye is also doing her clinical work with Lutheran Refugee Services, Northwest, in Portland, where she serves both resettled refugees and mainstream clients with mental health challenges.

TPC looks forward to recognizing outstanding dissertations like Dr. Acquaye’s for many years to come.

Read more about the TPC scholarship awards here.

2016 TPC Outstanding Scholar Award Winner – Quantitative or Qualitative Research

Kathleen Brown-Rice and Susan Furr

 

 

 

 

 

 

 

 

 

 

 

Kathleen Brown-Rice and Susan Furr received the 2016 Outstanding Scholar Award for Quantitative or Qualitative Research for their article, “Counselor Educators and Students With Problems of Professional Competence: A Survey and Discussion.”

Dr. Kathleen Brown-Rice is an Assistant Professor at the University of South Dakota. Dr. Brown-Rice is a National Certified Counselor, Licensed Professional Counselor (SD, NE, and NC), Licensed Mental Health Provider (NE), Certified Addiction Counselor (SD), Licensed Clinical Addiction Counselor (NC), Qualified Mental Health Provider (SD), Approved Clinical Supervisor. Her research efforts are on developing and enhancing ethical and competent services to clients and focus on three main areas: a) professional counselor supervision, training and dispositions, b) Native American mental health with an emphasis on the implications of historical trauma, and c) risky substance use. To further understand emotional regulation and intergenerational transmission of pathology, she incorporates neural imaging and genotyping.

Dr. Susan Furr is a Professor in the Department of Counseling at UNC Charlotte. She worked for over 20 years in the field as a school counselor and a counselor at the university counseling center before moving to university teaching. Her research and writing interests include counseling student development and professional dispositions, grief and loss in recovery from addiction, college student development, and psychoeducational groups.

Read more about the TPC scholarship awards here.

2016 TPC Outstanding Scholar Award Winner – Concept/Theory

Mehmet A. Karaman and Richard J. Ricard

 

 

 

 

 

 

 

 

 

 

 

Mehmet A. Karaman and Richard J. Ricard received the 2016 Outstanding Scholar Award for Concept/Theory for their article, “Meeting the Mental Health Needs of Syrian Refugees in Turkey.”

Dr. Mehmet A. Karaman is an Assistant Professor of counseling at the University of Texas Rio Grande Valley. Dr. Karaman has practiced in psychiatric hospitals, community mental health agencies, school districts and non-profit organizations. His research interests include instrument development and validation, cross-cultural studies (e.g., Turkey, Saudi Arabia, Mexico), counseling refugees, achievement motivation, and counseling children and adolescents. He is the past president of Texas Association for Humanistic Education and Development.

Dr. Richard J. Ricard is Assistant Dean and Professor of Counseling & Educational Psychology at Texas A&M University—Corpus Christi. He received his bachelor’s degree from the University of California, San Diego and his M.A. and Ph.D. from Harvard University in developmental psychology. He has been teaching in higher education for over 25 years. Dr. Ricard’s research focuses on program evaluation and implementation of evidence-based counseling interventions with adolescents in schools. His most recent teaching and research focus is on counseling interventions that emphasize mindfulness-based approaches (e.g., DBT, ACT, MBCT) that support counselor and client well-being.

Read more about the TPC scholarship awards here.