Applications of structural equation modeling in psychological research.
By R. Maccallum. Annual Review of Psychology, 2000
2,826 citations recorded by the source corpus.
Subfields: Applied Psychology, Experimental and Cognitive Psychology, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/03158963f74ff259b65693fb16d11319de0854a7
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In Applied Psychology
- Robert J. Vallerand
- P. Alex Linley
- Alex M. Wood
- Mike W.-L. Cheung
- S. Joseph
- John Maltby
- Robin Nunkoo
- P. Sarrazin
In Experimental and Cognitive Psychology
- Paul J Silvia
- Peter Salovey
- Robert J. Vallerand
- Roger E. Beaty
- Yoed N. Kenett
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- P. Sarrazin
In Management Science and Operations Research
- Mike W.-L. Cheung
- Kristopher J Preacher
- Ke-Hai Yuan
- Paul J Silvia
- Andrew J. Martin
- David Gefen
- Daniel M. McNeish
- M. Martens
Citations in the corpus
- Use of Structural Equation Modeling in Tourism Research (2013, methodology): “Although there is considerable debate about fit indices, SEM experts agree on the usefulness of chi-square, RMSEA, NNFI, CFI, SRMSR, and RMSR as measures of model fit (Bagozzi and Yi 2012; Hu and Bentler 1995; MacCallum and Austin 2000; Weston and Gore 2006).”
- The Relationships of Perceived Motivational Climate to Cohesion and Collective Efficacy in Elite Female Teams (2006, methodology): “With such method, an estimate of a causal relationship is possible by estimating the effect of variable V, measured at Time 1, on change in variable W from Time 1 to Time 2, that is by including autoregressive influence (MacCallum & Austin, 2000) in regression analyses.”
- High Boredom Proneness and Low Trait Self-Control Impair Adherence to Social Distancing Guidelines during the COVID-19 Pandemic (2020, neutral): “SEM is a powerful statistical technique that is widely used in psychological research [25].”
- Multiple Group Confirmatory Factor Analysis of the Young Schema-Questionnaire in a Dutch Clinical versus Non-clinical Population (2006, methodology): “Multiple groups confirmatory analysis (MGCFA) does allow for the testing of a hypothesized factor structure in different populations simultaneously (Floyd & Widaman, 1995; Jöreskog & Sörbom, 1993; MacCallum & Austin, 2000).”
- Predicting domain-specific risk taking with the HEXACO personality structure (2011, neutral): “Goodness-of-fit was assessed via several recommended model fit indices (e.g., Hildebrandt, Rudinger, & Schmidt, 1992; Homburg & Baumgartner, 1998; Hu & Bentler, 1999; MacCallum & Austin, 2000; Marsh, Hau, & Wen, 2004).”
- Principles and practice in reporting structural equation analyses. (2002, methodology): “MacCallum and Austin (2000) provided an excellent general survey of problems in applications of SEM.”
- Principal self-efficacy and work engagement: assessing a Norwegian Principal Self-Efficacy Scale (2011, methodology): “Structural analysis is then used for specifying and estimating models of linear relationships between both observed and latent variables (Jackson et al. 2009; MacCallum and Austin 2000).”
- Associations between the perceived quality of the coach–athlete relationship and athlete burnout: An examination of the mediating role of achievement goals (2016, methodology): “Based on the suggestions made by several researchers (Hu & Bentler, 1999; MacCallum & Austin, 2000), multiple indices were chosen to assess model fit: the Comparative Fit Index (CFI), the Root Mean Square Error of Approximation (RMSEA), and the TuckereLewis Index (TLI).”
- Why the Items versus Parcels Controversy Needn’t Be One (2013, methodology): “When a single scale composed of many items is used to measure a construct, it is still very common practice to use path analysis models based on the total scale score, rather than using an item-level or parcel-level latent variable model (MacCallum & Austin, 2000).”
- Approach or Avoid? Exploring Overall Justice and the Differential Effects of Positive and Negative Emotions (2014, methodology): “Given that our research question focuses on emotions as an outcome of justice perceptions, we used the final models as a template to test an alternative model in which the mediators (positive and negative emotions) and IV (overall justice) were reversed (cf. MacCallum & Austin, 2000).”
- Bias in Cross-Sectional Analyses of Longitudinal Mediation: Partial and Complete Mediation Under an Autoregressive Model (2011, neutral): “…empirical investigations of mediation should take time into account (e.g., Cole & Maxwell, 2003; Collins, Graham, & Flaherty, 1998; Kenny, Korchmaros, & Bolger, 2003; Kraemer, Stice, Kazdin, & Kupfer, 2001; MacCallum & Austin, 2000; Maxwell & Cole, 2007; Tein, Sandler, MacKinnon, & Wolchik, 2004).”
- “Do You Even Lift, Bro?” Objectification, Minority Stress, and Body Image Concerns for Sexual Minority Men (2017, methodology): “Finally, the sample size of 326 was deemed sufficient for the present analyses according to multiple criteria (e.g., Kline, 2005; MacCallum & Austin, 2000).”
- Influences of Family-Systems Intervention Practices on Parent-Child Interactions and Child Development (2010, methodology): “According to MacCallum and Austin (2000), RMSEA is the statistic of choice because “(a) it appears to be adequately sensitive to model misspecification, (b) commonly used guidelines for interpretation seem to yield appropriate conclusions, and (c) most importantly, a confidence interval is…”