Table 2.
Generalized difference-in-differences analyses testing study hypotheses
Consequents | |||||||||
---|---|---|---|---|---|---|---|---|---|
EBP implementation climate | Clinician use of EBP | Clinician use of non-EBP | |||||||
Exposures and controls | B | SE | p | B | SE | p | B | SE | p |
High EBP implementation climate | .23 | .08 | .007 | .08 | .08 | .311 | |||
High implementation leadership | .48 | .19 | .017 | − .03 | .10 | .740 | − .06 | .10 | .545 |
Transformational leadership | − .08 | .21 | .697 | − .08 | .10 | .425 | − .18 | .10 | .095 |
Molar organizational climate | .02 | .01 | .087 | − .01 | .01 | .335 | .01 | .01 | .248 |
Clinicians’ average years of experience | − .02 | .02 | .343 | .03 | .01 | .007 | .02 | .01 | .037 |
Cohen’s d | .92 | .55 | .25 |
K = 73 observations across N = 30 organizations. These are two-way fixed effects regression models. Exposures for implementation leadership and EBP implementation climate are coded as Low = 0 and High = 1 based on a median split. EBP evidence-based practice. EBP use is measured as clinicians’ use of cognitive-behavioral psychotherapy techniques; non-EBP use is measured as clinicians’ use of psychodynamic psychotherapy techniques. The indirect effect of exposure to improved implementation leadership on clinicians’ EBP use via improved EBP implementation climate is d = .26