TPC Journal-Vol 9- Issue 2-Full-Issue

The Professional Counselor | Volume 9, Issue 2 131 Initially, the instrument developers analyzed the psychometric properties of the CBI with two samples. Although not designed specifically to measure burnout among school counselors, the first sample of 258 counselors included 32.6% professional school counselors, and the second sample of 132 contained 43.2% professional school counselors (Lee et al., 2007, p. 144). Further, researchers validated the instrument with several counseling subspecialties, including school counselors (Lee et al., 2010; O’Sullivan & Bates, 2014). One study of the CBI with 272 school counselors using confirmatory factor analysis found the factor structure valid for use specifically with school counselors (Gnilka, Karpinski, & Smith, 2015). Additionally, test-retest reliability using a 6-week interval demonstrates strong reliability with subscale Cronbach alphas ranging from .72 to .85 (Lee et al., 2007). Finally, both concurrent validity (Lee et al., 2007; Wallace, Lee, & Lee, 2010) and discriminant validity (Lee et al., 2007; O’Sullivan & Bates, 2014; Puig et al., 2012) are well established. Data Collection Consistent with our approved protocol, we sent a survey link through Survey Monkey to all school counselor emails provided by the Texas Education Agency. We believe that school counselors suffering burnout are less likely to self-select without an additional incentive to participate because of the negative effects of burnout; therefore, they are more likely to be professionally disengaged. As such, we offered an incentive $50 gift certificate drawing for those choosing to participate and who provided their contact information at the end of the survey. According to Dillman (2014), the offer of an incentive is likely to improve the response rate and inclusion of participants that would not otherwise self-select to take the survey. After reading and agreeing to the consent document, participants completed an online survey comprised of the demographic questionnaire, the DCSQ, and the CBI. Data Analysis We downloaded the data from Survey Monkey to Excel and transferred it to SPSS. Once transferred, we eliminated any participants with missing data, leading to our final sample described above. We then conducted descriptive statistics including measures of central tendency, variability and dispersion, distributional shape, and histograms to evaluate normality, in order to ensure that the data collected is appropriate for the analysis conducted. After establishing that the data met the assumptions of normality, linearity, and homoscedasticity, we calculated the reliability coefficients for each of the instruments, namely the DCSQ and CBI, to evaluate their reliability. Once satisfied that each instrument demonstrated adequate reliability coefficients (.70 or higher), we conducted a Pearson’s product moment correlation to explore the relationships between the subscales for each instrument (Field, 2005). We examined the correlation matrix to evaluate evidence of multicollinearity, looking for correlations between two scales of .80 or higher. There were no subscales in the correlation matrix indicating multicollinearity. Results The reliability of the DCSQ and CBI subscales is documented in Table 1, and the relationships between the subscales is documented in Table 2. The DCSQ Demand subscale indicated a significant relationship to each CBI subscale; however, only four of them are large enough to interpret. These included a significant positive relationship between the Demand subscale and the CBI Exhaustion subscale ( r = .608, p < .01), the CBI Incompetence subscale ( r = .297, p < .01), the CBI NWE subscale ( r = .517, p < .01), and the CBI Deterioration in Personal Life subscale ( r = .518, p < .01). Although low, the Demand subscale also demonstrated significant negative relationships to the DCSQ Coworker and Supervisor Support subscale ( r = -.272, p < .01). Therefore, increases in external demands placed on school counselors will likely result in higher levels of exhaustion, feelings of incompetence, experience of their work environment