TPC-Journal-V4-Issue5

The Professional Counselor \Volume 4, Issue 5 430 (ranging from 1 = rarely do this activity, to 5 = routinely do this activity), school counselors rate their actual and preferred performance of a wide range of intervention activities (e.g., counsel students regarding personal problems, coordinate and maintain a comprehensive school counseling program) as well as other noncounseling activities. Only the Other Duties scale of the SCARS was used for this study. Participants rated their actual performance of 10 activities that fall into three subscales: Clerical (e.g., “schedule students for classes”), with scores ranging from 3–15; Fair Share (e.g., “coordinate the standardized testing program”), with scores ranging from 5–15; and Administrative (e.g., “substitute teach and/or cover for teachers at your school”), with scores ranging from 2–10. Scarborough (2005) examined the initial validity and reliability of the SCARS with a random sample of 300 school counselors, demonstrating content and construct validity for the SCARS subscales. A separate analysis on the 10 items reflecting Other School Counseling Activities supported three factors in which noncounseling activities can be categorized: Clerical, Fair Share and Administrative. Scarborough (2005) also demonstrated convergent and discriminant construct validity. Reported Cronbach’s alphas were .84 for the Clerical subscale, .53 for the Fair Share subscale, and .43 for the Administrative subscale. Despite some subscale low reliability scores, the researchers were unable to locate any other instrument measuring noncounseling duties with published psychometric data. In the current study, the Cronbach’s alpha for the Other Duties Subscale scale was an adequate .69 and within the reported range of .43–.84. Demographic Information. Demographic information collected included gender, ethnicity, highest degree earned, number of years as a practicing school counselor, grade-level assignment, location of school, type of school, total numbers of students in school, caseload number, total number of school counselors in school, percentage of minority students, percentage of students receiving free or reduced-price lunch, whether the school made AYP, and perceived level of support from school principals. Qualitative Questions. Three open-ended questions were included in the online survey to allow participants latitude in their responses (Marshall & Rossman, 1999). These questions included the following: What does burnout mean to you as a school counselor?, What does performing noncounseling duties in a school setting mean to you? and What other information would you like to add that has not been addressed in this survey? Data Entry and Analysis Data were imported from SurveyMonkey to Statistical Package for the Social Sciences (SPSS) version 18 and examined prior to analysis. A concurrent triangulation mixed-methods design was utilized with the qualitative and quantitative data analyzed separately but integrated in the interpretation of the findings; quantitative and qualitative findings were combined into a “coherent whole” (Creswell & Plano Clark, 2011, p. 214). It was hypothesized that among professional school counselors surveyed, a model containing all three of the SCARS subscales measuring noncounseling duties (Fair Share, Clerical and Administrative) would significantly predict three subscales of the CBI (Exhaustion, Negative Work Environment and Deterioration in Personal Life). In order to test this hypothesis, we conducted five separate linear, multiple-regression analyses of assignment of noncounselor duties (Clerical, Fair Share and Administrative, as measured by the SCARS) on each of the measures of burnout (Exhaustion, Incompetence, Negative Work Environment, Devaluing Clients and Deterioration in Personal Life, as measured by the CBI). We predicted that noncounselor duties would significantly predict exhaustion, negative work environment and deterioration in personal life. (Those participants who said AYP was not applicable to them were removed from this and future analyses.) We also questioned whether school factors that could tap into job demands and resources (e.g., caseload, meeting AYP and lack of principal support) were predictive of burnout, over and above noncounselor duties. Caseload was coded as 0–250, 251–400, and over 400. Therefore, we dummy-coded this variable with the