Latent variable modeling of differences and changes with longitudinal data.

By J. Mcardle. Annual Review of Psychology, 2009

1,844 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ad83a410f55efe20f7aeecfed481f3dc3df5f0d7

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Citations in the corpus

Time in Individual-Level Organizational Studies: What is it, How is it Used, and Why Isn't it Exploited More Often? (2015, background): “Such research has responded to recent entreaties to utilize state-of-the-art data analytic procedures and thus take full advantage of repeated-measures data for understanding within-person change (McArdle 2009, Ployhart & Vandenberg 2010).”
Enhancing Rigor in Quantitative Entrepreneurship Research (2019, background): “…and right censoring presents a problem (e.g., Allison, 2014; Cleves et al., 2016); latent growth curve models, which explicitly model change (instead of only variance; e.g., Bollen & Curran, 2006; McArdle, 2009); and difference- in- differences (DID) models for causal inference (Lechner, 2011).”
Fostering task and adaptive performance through employee well-being: The role of servant leadership (2020, methodology): “The utilized LCSM was the most suitable analytical approach as it captures within-person changes in a construct across two time points and enables us to examine relationships among such within-person changes (Henk & CastroSchilo, 2016; McArdle, 2009; Selig & Preacher, 2009).”
Crafting the Change: The Role of Employee Job Crafting Behaviors for Successful Organizational Change (2018, background): “While the links between change communication and crafting are based on actual prediction of LCSs (e.g., T1 or T2 variables predicting subsequent change scores; McArdle, 2009), the links between job crafting and employee engagement or adaptivity are based on correlations between LCSs (e.g., T2-T3 cha”
How Does Workplace Helping Behavior Step Up or Slack Off? Integrating Enrichment-Based and Depletion-Based Perspectives (2018, background): “…Time 1 on psychological safety at Time 2, the effect of emotional exhaustion at Time 1 on emotional exhaustion at Time 2, and the effect of job involvement at Time 1 on job involvement at Time 2 to estimate the stability effects and model the changes in these endogenous variables (McArdle, 2009).”
Bias in Cross-Sectional Analyses of Longitudinal Mediation: Partial and Complete Mediation Under an Autoregressive Model (2011, background): “McArdle (2009) provided an excellent review of a variety of latent variable models for studying change.”
Employee intrapreneurship and work engagement: A latent change score approach (2017, methodology): “In order for these latent variables to represent only the “true” score corrected for measurement error (cf. McArdle, 2009), we constrained corresponding T1 and T2 measures to be identical by constraining the autoregression paths of the latent study variables to 1 and setting the variance of the…”
Trajectories of brain aging in middle-aged and older adults: Regional and individual differences (2010, positive): “Although statistical methods for evaluating change in the context of individual differences such as latent difference score models (McArdle, 2009; McArdle and Nesselroade, 2003) are widely available, only a few studies of brain aging have benefited from them (McArdle et al.”
The construct of psychophysiological reactivity: Statistical and psychometric issues (2013, background): “Latent difference score (LDS) measurement of reactivity (Little et al., 2005; McArdle, 2001, 2009).”
The value of job crafting for work engagement, task performance, and career satisfaction: longitudinal and quasi-experimental evidence (2019, methodology): “To let these latent variables represent only the “true” score corrected for measurement error (cf. McArdle, 2009), we constrained corresponding T1 and T2 measures to be identical by constraining the autoregression paths of the latent study variables to 1 and setting the variance of the latent study…”