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. Author manuscript; available in PMC: 2019 Apr 1.
Published in final edited form as: Prof Psychol Res Pr. 2018 Apr;49(2):131–142. doi: 10.1037/pro0000182

Table 3.

Model of variables predicting therapist burnout

B SE z-ratio
Intercept 3.28 .15 23.17***
Therapist level
Demographic and background characteristics
  Therapist gender (Female)
   Male −.23 .17 −1.33
  Therapist race (Non-Hispanic White)
   Hispanic .02 .16 .11
   Other .05 .16 .32
  Licensure status (Not licensed)
   Licensed −.03 .14 −.21
  Language status (Monolingual)
   Able to provide treatment in non-English language −.17 .15 −1.17
  Years at current agency .01 .02 .11
  Theoretical Orientation (Not cognitive or behavioral)
   Cognitive behavioral or behavioral −.05 .11 −.42
Workload
  Caseload .02 .01 2.23*
  Number of practices delivered .16 .06 2.74**
  Weekly hours of EBP-related activities −.03 .03 −.97
  Weekly hours of outcomes monitoring −.03 .03 −.90
  Weekly hours of travel time for client contact .04 .02 1.68
  Weekly hours receiving supervision/consultation .06 .03 1.85
  Weekly hours of total work .03 .01 3.25**
Therapist attitudes
  Knowledge and confidence −.19 .10 −1.97*
  PCIS mean −.05 .01 −3.33**
Agency level
Organizational climate
  Involvement −.09 .31 −.28
  Autonomy −.24 .32 −.75
  Performance feedback −.14 .33 −.43

Note. Therapist level variables grand mean centered, organizational climate variables centered at the agency level. For categorical variables, reference group in parentheses.

p < .10

*

p < .05

**

p < .01

***

p < .001.