Results

Descriptive Statistics

Descriptive Statistics
  Infidelity Commitment ConsumptionLn
Valid 240 239 240
Missing 0 1 0
Mean 0.304 4.143 0.126
Std. Deviation 0.699 0.738 0.222
Minimum 0.000 1.750 0.000
Maximum 2.000 5.000 0.845

Classical Process Model: Hayes Configuration

Model summary
  AIC BIC Log-likelihood n df
Model 1 976.180 997.039 -482.090 239 0
R-squared
R²
  Model 1
Infidelity 0.114
Commitment 0.020

Path plots

Model 1

Conceptual path plot
Statistical path plot

Parameter estimates

Important : Parameter estimates can only be interpreted as causal effects if all confounding effects are accounted for and if the causal effect directions are correctly specified.

Model 1

Path coefficients
95% Confidence Interval
      Estimate Std. Error z-value p Lower Upper Std. Estimate
ConsumptionLn → Infidelity 0.457 0.246 1.862 0.063 -0.024 0.939 0.145
Commitment → Infidelity -0.271 0.071 -3.810 < .001 -0.410 -0.132 -0.285
ConsumptionLn → Commitment -0.470 0.229 -2.052 0.040 -0.918 -0.021 -0.142
Direct and indirect effects
95% Confidence Interval
          Estimate Std. Error z-value p Lower Upper Std. Estimate
ConsumptionLn → Infidelity 0.457 0.246 1.862 0.063 -0.024 0.939 0.145
ConsumptionLn → Commitment → Infidelity 0.127 0.068 1.874 0.061 -0.006 0.260 0.040
Total effects
95% Confidence Interval
        Estimate Std. Error z-value p Lower Upper Std. Estimate
Total ConsumptionLn → Infidelity 0.585 0.244 2.399 0.016 0.107 1.062 0.186
Total indirect ConsumptionLn → Infidelity 0.127 0.068 1.874 0.061 -0.006 0.260 0.040

Classical Process Model: Path Configuration

Model summary
  AIC BIC Log-likelihood n df
Model 1 976.180 997.039 -482.090 239 0

Path plots

Model 1

Conceptual path plot
Statistical path plot

Parameter estimates

Important : Parameter estimates can only be interpreted as causal effects if all confounding effects are accounted for and if the causal effect directions are correctly specified.

Model 1

Path coefficients
95% Confidence Interval
      Estimate Std. Error z-value p Lower Upper
ConsumptionLn → Infidelity 0.457 0.246 1.862 0.063 -0.024 0.939
Commitment → Infidelity -0.271 0.071 -3.810 < .001 -0.410 -0.132
ConsumptionLn → Commitment -0.470 0.229 -2.052 0.040 -0.918 -0.021
Direct and indirect effects
95% Confidence Interval
          Estimate Std. Error z-value p Lower Upper
ConsumptionLn → Infidelity 0.457 0.246 1.862 0.063 -0.024 0.939
ConsumptionLn → Commitment → Infidelity 0.127 0.068 1.874 0.061 -0.006 0.260
Total effects
95% Confidence Interval
        Estimate Std. Error z-value p Lower Upper
Total ConsumptionLn → Infidelity 0.585 0.244 2.399 0.016 0.107 1.062
Total indirect ConsumptionLn → Infidelity 0.127 0.068 1.874 0.061 -0.006 0.260