Descriptive statistics were analysed using SPSS v25. Exploratory factor analyses were performed in SPSS to ascertain the underlying structure of the measures selected to capture the latent COM constructs. Confirmatory factor analyses were conducted in AMOS v25. Anderson and Gerbing’s [85] two-step approach to structural equation modelling was then followed. Both measurement and structural models were specified and tested in AMOS v25 using maximum likelihood estimation. A final structural model was established through a stepwise process of model trimming: (i) removing statistically non-significant (p > .05) indicators; and (ii) removing indicators with low squared multiple correlations (SMC < .3). Several goodness-of-fit indices were used to determine model acceptability (see Table 1).
Goodness-of-fit indices and their associated cut-offs
Note. acceptable fit indices used
Abbreviations: CMIN/DF normed chi-square, RMSEA root mean square error of approximation, SRMR standardised root mean square residual, CFI comparative fit index, TLI Tucker-Lewis index, GFI goodness-of-fit index, AGFI adjusted goodness-of-fit index
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