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

Author

Listed:
  • Giovanbattista Califano

    (University of Naples Federico II)

Programming Language

Stata

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.

Suggested Citation

  • Giovanbattista Califano, 2023. "STEP3: Stata module to relate latent class membership to external variables," Statistical Software Components S459182, Boston College Department of Economics, revised 15 Feb 2024.
    • Handle: RePEc:boc:bocode:s459182
    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.
    as

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    File URL: http://fmwww.bc.edu/repec/bocode/s/step3.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/step3.sthlp
    File Function: help file
    Download Restriction: no
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