The Professional Counselor | Volume 12, Issue 1 57 Table 5 Type of Positive Childhood Experience Score PCEs Percentage (n) Talk About Feelings 71.0% (n = 98) Family Support 71.2% (n = 99) Community Traditions 76.3% (n = 106) Belonging in School 73.6% (n = 103) Supported by Friends 77.7% (n = 108) Non-Parent Adult Support 80.7% (n = 113) Protected in Home 80.0% (n = 112) Next, we analyzed MHCs’ scores related to CS, burnout, and STS. Participants’ mean CS score of 31.81, 95% CI [30.6005, 33.0138], was well above the threshold of 23, which indicates a positive level of CS. Their overall mean burnout score of 24.59, 95% CI [23.5793, 25.5921], was well below the threshold of 41, which indicates that the average MHC was not suffering from burnout. Their overall mean STS score of 26.37, 95% CI [25.0346, 27.7083], was also well below the threshold of 43, which indicates the average MHC was not experiencing STS. For RQ 2, we also tested whether and to what extent MHCs’ ACEs, PCEs, and demographic variables predict CS, burnout, and STS. We ran three linear regression models to assess significant predictors of CS, burnout, and STS. In the first model, a regression of CS on ACEs, PCEs, gender, race/ ethnicity, and childhood SES explained a significant 40.5% of the variance in CS, F (5, 134) = 17.558, p < .001. Specifically, significant predictors of CS were ACEs (β = −.550), gender (β = −.218), race/ ethnicity (β = −.160), and childhood SES (β = −.171). PCEs were nonsignificant in relation to CS. Items negatively related to CS were ACEs (i.e., higher ACE scores predicted lower CS), gender (i.e., being female predicted higher CS), race/ethnicity (i.e., being minoritized predicted higher CS), and childhood SES (i.e., lower levels of SES predicted higher CS; see Table 6). In the second model, a regression of burnout on ACEs, PCEs, gender, race/ethnicity, and childhood SES explained a significant 18.9% of the variance in burnout, F (5, 134) = 6.032, p < .001. Specifically, both ACEs and PCEs were significant predictors of burnout (β = .309 and β= −.197, respectively). Gender, race/ethnicity, and SES were nonsignificant predictors of burnout. ACEs were positively related to burnout (i.e., higher ACE scores indicated higher burnout), and PCEs were negatively related to burnout (i.e., higher PCEs indicated lower burnout; see Table 7). In the third model, a regression of STS on ACEs, PCEs, gender, race/ethnicity, and childhood SES explained a significant 8.5% of variance in STS, F (5, 134) = 2.402, p < .001. Only race/ethnicity was a significant predictor of STS (β= −.222; i.e., being White indicated lower STS). ACEs, PCEs, gender, and SES produced nonsignificant results related to STS (see Table 8).
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