STEP3: Stata module to relate latent class membership to external variables

Giovanbattista Califano

Statistical Software Components from Boston College Department of Economics

Abstract: step3 relates latent class membership to external variables (either covariates or distal outcomes), taking into account misclassification errors. For the analysis of covariates, the command performs the third step of the ML procedure described by Vermunt (2010), whereas for distal outcomes the command uses the BCH method (Bolck et al., 2004), which is more robust for continuous and count outcomes (Bakk & Kuha, 2021). Although step3 also executes the second step of these stepwise procedures (with modal assignment), the first step (i.e., latent class or latent profile analysis without covariates/distal outcomes) must be performed separately. This can be done with any command, as long as it produces membership posterior probabilities.

Language: Stata
Requires: Stata version 15.1
Keywords: latent class analysis; stepwise procedure (search for similar items in EconPapers)
Date: 2023-02-14, Revised 2024-02-15
Note: This module should be installed from within Stata by typing "ssc install step3". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/s/step3.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/step3.sthlp help file (text/plain)

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