Is Adding More Indicators to a Latent Class Analysis Beneficial or Detrimental? Results of a Monte-Carlo Study

The purpose of this study was to examine in which way adding more indicators or a covariate influences the performance of latent class analysis (LCA). We varied the sample size (100 ≤ N ≤ 2,000), number and quality of binary indicators (between 4 and 12 indicators with conditional response probabil...

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Bibliographic Details
Main Authors: Ingrid Carlson Wurpts, Christian eGeiser
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-08-01
Series:Frontiers in Psychology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00920/full