Latent curve models: A structural equation perspective

By Kenneth A. Bollen, P. Curran. 2005

2,036 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Software

View Paper: https://www.semanticscholar.org/paper/ae789e1d66c7613cc6ba17cc3307892f52a61db2

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Citations in the corpus

Subject specific and population average models for binary longitudinal data: a tutorial (2013, methodology): “The wide format is mainly used for analysing longitudinal data using structural equation models, where the repeated measures of GHQ are treated as multivariate responses (e.g. Bollen and Curran 2005).”
Can Parents Influence Children’s Mathematics Achievement and Persistence in STEM Careers? (2014, methodology): “…the specification of the model in this article fixes the loadings on the shape factor of the first assessment occasion (7th grade) at 0 and final assessment occasion (12th grade) to a value of 1 and freely estimates the intermediate loadings (for more on this, see Bollen & Curran, 2006).”
Local solutions in the estimation of growth mixture models. (2006, methodology): “Following a common diagnostic strategy, we estimated an ordinary least squares quadratic regression model for each case individually (Bollen & Curran, 2005; Singer & Willett, 2003).”
Stability and Change in Consumer Traits: Evidence from a 12-Year Longitudinal Study, 2002–2013 (2015, methodology): “Mean-level stability can be assessed with latent curve modeling (Bollen and Curran 2006) or paired t-tests.”
Community embeddedness and work outcomes: The mediating role of organizational embeddedness (2014, background): “LGM is an extension of structural equation modeling; it assesses changes in levels of variables and examines how these changes are related to other constructs in the nomological network (Bollen and Curran, 2006; Duncan et al., 2006).”
Comparison of Methods of Handling Missing Time-Invariant Covariates in Latent Growth Models Under the Assumption of Missing Completely at Random (2007, methodology): “…refer to the approach of analyzing longitudinal data with SEM, for example, latent curve analysis (Meredith & Tisak, 1990), the latent curve model (Bollen & Curran, 2006), growth curves (Rao, 1958), growth models (L. Muthén & Muthén, 2006), the latent growth curve model (Bentler, 2004), and…”
Methods and Measures: Growth mixture modeling: A method for identifying differences in longitudinal change among unobserved groups (2009, methodology): “Comprehensive introductions to growth curve methodology can be found in Bollen and Curran (2006), Burchinal, Nelson, and Poe (2006), Duncan, Duncan, Stryker, Li, and Alpert (2006), McArdle, 2009; Preacher, Wichman, MacCallum, and Briggs (2008), and Singer and Willett (2003).”
Homemade citizens: The development of political interest during adolescence and young adulthood (2013, methodology): “In order to account for the model identification, we select respondents for which we have at least five valid answers on the political interest question between 1983 and 2007 (c.f. Meredith and Tisak, 1990; Bollen and Curran, 2006).”
The Development of English and Mathematics Self-Efficacy: A Latent Growth Curve Analysis (2012, methodology): “Significantly, central to the research investigation, is the use of LGM procedures (Bollen & Curran, 2006; Duncan et al., 1999; McArdle & Nesselroade, 2003) to validate and trace the developmental trajectories of self-efficacy beliefs for two disciplines, English and mathematics, over four occasions”
Positivity: The Dispositional Basis of Happiness (2016, background): “Practical rules of implementation require several steps (Bollen and Curran 2006).”
General Growth Mixture Analysis with Antecedents and Consequences of Change (2010, neutral): “…models; and models that employ both continuous and categorical latent variables for describing population heterogeneity in the change process (for more on growth modeling in a latent variable framework, see, for example, Bollen & Curran, 2006; Duncan, Duncan, & Strycker, 2006; Muthén, 2001, 2004).”
The Impact of Misspecifying Class-Specific Residual Variances in Growth Mixture Models (2008, background): “Interested readers are encouraged to consult Bollen and Curran (2005) for more details on the SEM growth model.”