Testing mediational models with longitudinal data: questions and tips in the use of structural equation modeling.

By David A. Cole, S. Maxwell. Journal of Abnormal Psychology, 2003

3,368 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/9c0e320b78f0d0c110cb6deb3586605a0a687e77

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Citations in the corpus

Bias in Cross-Sectional Analyses of Longitudinal Mediation: Partial and Complete Mediation Under an Autoregressive Model (2011, background): “As has been discussed elsewhere (e.g., Cole & Maxwell, 2003; Gollob & Reichardt, 1985, 1987, 1991), estimates of effects in longitudinal models can change greatly depending on the chosen time lag.”
Mendelian randomisation for mediation analysis: current methods and challenges for implementation (2019, methodology): “In a more complex model, the longitudinal time varying relationships between exposures and mediators can be modelled using structural equation models [60].”
Longitudinal Test of Self-Determination Theory's Motivation Mediation Model in a Naturally Occurring Classroom Context (2012, background): “To assess for temporal causality within the hypothesized model, a fundamental requirement is that the assessed cause must precede the outcome in time (Cole & Maxwell, 2003).”
Structural Equation Modeling of Mediation and Moderation With Contextual Factors (2007, background): “Threat 1: Plausible Equivalent Models: When one is testing for mediation using nonexperimental data with measurements made at the same occasion, any number of interpretive problems can arise (see, e.g., Cole & Maxwell, 2003).”
Developmental cascades (2010, background): “The design must allow adequate time for the effects of interest to be manifested (Cole, 2006; Cole & Maxwell, 2003).”
Ethical Leadership and Ethical Voice: The Mediating Mechanisms of Value Internalization and Integrity Identity (2021, methodology): “The measurement errors of the same item over time were allowed to correlate (Cole & Maxwell, 2003; Little, Preacher, Selig, & Card, 2007).”
Burnout and Turnover Intention Among Social Workers: Effects of Role Stress, Job Autonomy and Social Support (2008, methodology): “While this study provides a better understanding of burnout and turnover intention among social workers, it was methodologically limited by the cross-sectional design in assessing structural models, including mediating models ( Cole & Maxwell, 2003 ).”
Mediational Inferences in Organizational Research (2008, background): “Threats to this presumed sequence, or specification errors, remain as perhaps the biggest Achilles heal for mediational designs (cf. Cole & Maxwell, 2003; Mathieu & Taylor, 2006; Maxwell & Cole, 2007; Spencer, Zanna, & Fong, 2005; Stone-Romero & Rosopa, 2004).”
Conceptualizing and testing random indirect effects and moderated mediation in multilevel models: new procedures and recommendations. (2006, background): “Further recommendations for improving causal inferences can be found in Berk (1988, 2004), Cole and Maxwell (2003), Gollob and Reichardt (1987, 1991), and Hoyle and Robinson (2004).”
Psychological capital bolsters motivation, engagement, and achievement: Cross-sectional and longitudinal studies (2018, methodology): “Although cross-sectional studies are important in their own right especially when exploring the nomological network of a construct, they are prone to common method bias (Cole & Maxwell, 2003).”
Positive predictors of teacher effectiveness (2009, neutral): “Unfortunately, optimistic explanatory style, grit, and life satisfaction were measured simultaneously in the current investigation, and we were unable to determine the temporal precedence of optimistic explanatory style to grit and life satisfaction (Cole & Maxwell, 2003).”