Menu
Home
People
Places
Arts
History
Plants & Animals
Science
Life & Culture
Technology
Reference.org
Latent variable model
open-in-new
<h2 id="see-also">See also</h2> <ul><li><a href="/facts/Confirmatory_factor_analysis/Vod6SeEM">Confirmatory factor analysis</a></li> <li><a href="/facts/Hidden_Markov_model/ur1zTAhP">Hidden Markov model</a></li> <li><a href="/facts/Partial_least_squares_path_modeling/tvJyY2P1">Partial least squares path modeling</a></li> <li><a href="/facts/Structural_equation_modeling/g5nWG6zy">Structural equation modeling</a></li></ul> <h2 id="notes">Notes</h2> <h2 id="further-reading">Further reading</h2> <ul><li>Skrondal, Anders; <a href="/facts/Sophia_Rabe-Hesketh/xY1grwcY">Rabe-Hesketh, Sophia</a> (2004). <i>Generalized Latent Variable Modeling</i>. Chapman & Hall. <a href="/facts/ISBN_(identifier)/15AdSPa9">ISBN</a> 1-58488-000-7.</li></ul> <h2 id="references">References</h2> <ol> <li id="fn:1"><p>"Latent Variable Models". Statistics.com: Data Science, Analytics & Statistics Courses. Archived from the original on 2022-11-01. Retrieved 2022-11-01. <a href="https://www.statistics.com/glossary/latent-variable-models/" target="_blank">https://www.statistics.com/glossary/latent-variable-models/</a> <a href="#fnref:1" class="footnote-back-ref">↩</a></p></li> <li id="fn:2"><p>Blei, David M. (2014-01-03). "Build, Compute, Critique, Repeat: Data Analysis with Latent Variable Models". Annual Review of Statistics and Its Application. 1 (1): 203–232. Bibcode:2014AnRSA...1..203B. doi:10.1146/annurev-statistics-022513-115657. ISSN 2326-8298. <a href="https://www.annualreviews.org/doi/10.1146/annurev-statistics-022513-115657" target="_blank">https://www.annualreviews.org/doi/10.1146/annurev-statistics-022513-115657</a> <a href="#fnref:2" class="footnote-back-ref">↩</a></p></li> <li id="fn:3"><p>Borsboom, Denny; Mellenbergh, Gideon J.; van Heerden, Jaap (April 2003). "The theoretical status of latent variables". Psychological Review. 110 (2): 203–219. doi:10.1037/0033-295X.110.2.203. ISSN 1939-1471. PMID 12747522. <a href="https://doi.apa.org/doi/10.1037/0033-295X.110.2.203" target="_blank">https://doi.apa.org/doi/10.1037/0033-295X.110.2.203</a> <a href="#fnref:3" class="footnote-back-ref">↩</a></p></li> <li id="fn:4"><p>Blei, David M.; Ng, Andrew Y.; Jordan, Michael I. (2003). "Latent dirichlet allocation". J. Mach. Learn. Res. 3 (3/1/2003): 993–1022. ISSN 1532-4435. <a href="https://dl.acm.org/doi/10.5555/944919.944937" target="_blank">https://dl.acm.org/doi/10.5555/944919.944937</a> <a href="#fnref:4" class="footnote-back-ref">↩</a></p></li> <li id="fn:5"><p>Bartholomew, David J.; Steel, Fiona; Moustaki, Irini; Galbraith, Jane I. (2002). The Analysis and Interpretation of Multivariate Data for Social Scientists. Chapman & Hall/CRC. p. 145. ISBN 1-58488-295-6. <a href="1-58488-295-6" target="_blank">1-58488-295-6</a> <a href="#fnref:5" class="footnote-back-ref">↩</a></p></li> <li id="fn:6"><p>The terms "latent trait analysis" and "item response theory" are often used interchangeably.[6] <a href="#fnref:6" class="footnote-back-ref">↩</a></p></li> <li id="fn:7"><p>Everitt, BS (1984). An Introduction to Latent Variables Models. Chapman & Hall. ISBN 0-412-25310-0. <a href="0-412-25310-0" target="_blank">0-412-25310-0</a> <a href="#fnref:7" class="footnote-back-ref">↩</a></p></li> </ol>