Advanced Quantitative Research Methods for Urban Planners 2020
DOI: 10.4324/9780429325038-8
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Structural Equation Modeling

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Cited by 5 publications
(6 citation statements)
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“…In order to test the effects of multiple predictors simultaneously, we used structural equation modeling (SEM) as the analytical approach to estimate a series of separate but interdependent multiple regression equations (Hair et al, 2006;Miller et al, 2020). SEM can estimate causal relationships' unidentified coefficients among latent variables and also specify the hypothetical constructs by observed variables (Hair et al, 2010).…”
Section: Methodsmentioning
confidence: 99%
“…In order to test the effects of multiple predictors simultaneously, we used structural equation modeling (SEM) as the analytical approach to estimate a series of separate but interdependent multiple regression equations (Hair et al, 2006;Miller et al, 2020). SEM can estimate causal relationships' unidentified coefficients among latent variables and also specify the hypothetical constructs by observed variables (Hair et al, 2010).…”
Section: Methodsmentioning
confidence: 99%
“…In addition to making inferences about effects between latent variables, SEM using AMOS can also be employed to examine mediation effects (Collier, 2020;Kenny et al, 2015;Miller et al, 2020). Together with the direct path testing, as presented in Table 8, the extent to which burnout mediated the relationships between job characteristics and work engagement as well as job characteristics and turnover intention was determined.…”
Section: Hypothesis Testing: Mediation Analysismentioning
confidence: 99%
“…In model fitting, measurement models were examined, and two instrument reliability and validity conditions were established (Rosseel, 2020). The validity and reliability of measurements are essential criteria in determining accuracy and precision (Miller et al , 2020). Reliability is associated with random error, and validity is associated with the regular error, and therefore as the sample size increases, it can reduce random error (Garnier-Villarreal and Jorgensen, 2020).…”
Section: Analysis Of Data and Resultsmentioning
confidence: 99%