The Encyclopedia of Research Methods in Criminology and Criminal Justice 2021
DOI: 10.1002/9781119111931.ch159
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Factor Analysis and Structural Equation Modeling

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Cited by 8 publications
(4 citation statements)
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“…In order to investigate whether or not all the variables are unidimensional, factor analysis is needed. In factor analysis, KMO, which measures shared variances, must not be less than 0.5, while the p-value of Bartlett's test of sphericity must be less than 0.001 (Beavers et al, 2013;Walker and Maddan, 2009). Multicollinearity is a situation in which two more descriptive variables are linearly related.…”
Section: Reliability Test Resultsmentioning
confidence: 99%
“…In order to investigate whether or not all the variables are unidimensional, factor analysis is needed. In factor analysis, KMO, which measures shared variances, must not be less than 0.5, while the p-value of Bartlett's test of sphericity must be less than 0.001 (Beavers et al, 2013;Walker and Maddan, 2009). Multicollinearity is a situation in which two more descriptive variables are linearly related.…”
Section: Reliability Test Resultsmentioning
confidence: 99%
“…Therefore, the questionnaire's items were assigned to factors based on theoretical expectations. The model fit statistics were used to assess the compatibility of collected data using the specified factor model ( 37 ), and confirm the goodness of the model fit ( 39 ).…”
Section: Methodsmentioning
confidence: 99%
“…Structural equation modeling (SEM) analysis was applied to the analysis of the data to evaluate the validity of theories or hypotheses. In this context, one key goal of SEM is to assess the validity of a specified causal model or theory (Altikriti and Anderson, 2021). SEM was also used to simultaneously present the complex (direct and indirect) relationship among various latent variables or constructs in the study.…”
Section: Research Design and Samplementioning
confidence: 99%