Technical Guide for Latent GOLD 5.1: Basic, Advanced, and Syntax 1

By Jeroen K. Vermunt, Jay Magidson. 2016

413 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c7ec7772e43c2daf284d1f89902c21799baa9b7d

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Citations in the corpus

Buying Groceries in Brick and Click Stores: Category Allocation Decisions and the Moderating Effect of Online Buying Experience (2015, methodology): “(3′) as: γ0i ¼ γ01 þ γ02 Fi: ð5Þ We use Latent GOLD® software to compute the latent factor and estimate the coefficient γ02 (while fixing the value of the standard deviation of the latent factor to 1; see Vermunt and Magidson 2013, p 100–101).”
Beyond subjective and objective in statistics (2015, methodology): “…an uncorrelated adjacent category ordinal logit model for ordinal variables and a locally independent multinomial model for categorical data) for a single mixture component in the framework of mixture models as provided, e.g., in the LatentGOLD software package (Vermunt and Magidson, 2016).”
Tweeting with the Stars: Automated Text Analysis of the Effect of Celebrity Social Media Communications on Consumer Word of Mouth (2019, unknown): “We estimated our LCA using maximum likelihood (Collins and Lanza 2010; McCutcheon 2002) through the Latent Gold Version 5 software program (Vermunt and Magidson 2016).”
Latent Class Analysis (2021, methodology): “More general DFactor models with unequal spacing can also be specified using the scores keyword in the Latent GOLD® syntax (see Vermunt & Magidson, 2013; for related work on scoring LCs and the relationship to IRT models, see Clogg, 1988; Formann, 1992; Heinen, 1996; Uebersax, 1993; Vermunt, 2001).”
Robustness of Stepwise Latent Class Modeling With Continuous Distal Outcomes (2016, methodology): “(8) This is how the LTB method is implemented in Mplus 7.1 (Muthén & Muthén, 1998–2012) and LatentGOLD 5.0 (Vermunt & Magidson, 2013).”