The Professional Counselor | Volume 13, Issue 3 168 Path Analysis The first model was identified drawing all possible direct paths among the variables (Table 2). Model fit indices were not calculated, as this is a saturated model. This model indicated that four of the 10 direct paths were not statistically significant, with p values ranging from .065 to .145. Table 2 Results of a Path Analysis: Saturated Model Endogenous Variables Exploratory Variables Estimate Standardized Estimate p SMC Deterioration in Personal Life Negative Work Environment 0.321 0.049 .000 0.117 Exhaustion Negative Work Environment 0.248 0.043 .000 0.386 Deterioration in Personal Life 0.483 0.046 .000 Incompetence Negative Work Environment 0.056 0.038 .145 0.146 Deterioration in Personal Life 0.153 0.044 .000 Exhaustion 0.125 0.045 .006 Devaluing Client Negative Work Environment 0.050 0.029 .082 0.188 Deterioration in Personal Life −0.003 0.035 .930 Exhaustion 0.069 0.037 .065 Incompetence 0.254 0.037 .000 Note. SMC = squared multiple correlation. Among them, the path connecting Deterioration in Personal Life to Devaluing Client (p = .930) was the least significant. According to the trimming process, this path was removed to identify modified Model 1. The modified Model 1 was found to include two nonsignificant paths, connecting Negative Work Environment to Incompetence (p = .145) and Negative Work Environment to Devaluing Clients (p = .082). The path connecting Negative Work Environment to Incompetence was less significant, and it was removed from the modified Model 1 to fit modified Model 2. The modified Model 2 identified only one path that was not significant (p = .050), which connected Negative Work Environment to Devaluing Client. This path was eliminated to identify modified Model 3. The modified Model 3 finally rendered significant direct paths only with excellent model fit indices, and it was retained as the final model (Table 3). Model fit indices of all the models are described in Table 4.
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