Data Analysis with Mplus

By C. Geiser. 2012

829 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/873b5c4bba8a2b71b6269881e78fcab6537b5c75

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Citations in the corpus

A Gentle Introduction to Bayesian Analysis: Applications to Developmental Research (2013, unknown): “Advantages of Bayesian statistics over frequentist statistics are well documented in the literature (Jaynes, 2003; Kaplan & Depaoli, 2012, 2013; Kruschke, 2011a, 2011b; Lee & Wagen-makers, 2005; Van de Schoot, Verhoeven, & Hoijt-ink, 2012; Wagenmakers, 2007) and we will just highlight some of those…”
Determinants of Turnover Intention of Social Workers (2017, background): “One strength of SEM analysis is that it can be used to investigate relationships involving numerous latent variables (Geiser, 2013).”
An introduction to latent variable mixture modeling (part 1): overview and cross-sectional latent class and latent profile analyses. (2014, background): “Too many of these ‘‘boundary estimates’’ may be a sign of local maximum, and/or the extraction of too many classes (Geiser, 2012).”
Effects of Monetary Versus Environmental Information Framing: Implications for Long-Term Pro-Environmental Behavior and Intrinsic Motivation (2018, unknown): “This ensures that measures for the latent variables are comparable across time and across groups (Geiser, 2012).”
Everyday Understandings of Happiness, Good Life, and Satisfaction: Three Different Facets of Well-being (2017, methodology): “The classes identified should therefore be considered a heuristic rather than a “true” representation of the heterogeneity across the individuals studied (Lanza and Rhoades 2013; Geiser 2013).”
Hybrid and Alternating Identity Styles as Strategies for Managing Multicultural Identities (2018, methodology): “In the CFA, missing data were handled using full information maximum likelihood function in Mplus (Geiser, 2013).”
Modeling the developmental trajectories of rational number concept(s) (2015, methodology): “The analyses of Latent Profiles (LPA) and Latent Transitions (LTA) were carried out as mixture and longitudinal mixture models, in which 1000 and 100 random start values were used in the first and second steps of model estimation, respectively, to ensure the validity of the solution (Geiser, 2013).”