A Monte Carlo investigation of factors influencing latent class analysis

• Verfasst von: Swanson, Sonja A. [VerfasserIn]
• Verfasst von: Lindenberg, Katajun [VerfasserIn]
• Verfasst von: Bauer, Stephanie [VerfasserIn]
• Verfasst von: Crosby, Ross D. [VerfasserIn]
• Titel: A Monte Carlo investigation of factors influencing latent class analysis
• Titelzusatz: an application to eating disorder research
• Verf.angabe: Sonja A. Swanson, Katajun Lindenberg, Stephanie Bauer, Ross D. Crosby
• Jahr: 2012
• Jahr des Originals: 2011
• Umfang: 8 S.
• Fussnoten: First published: 31 August 2011 ; Gesehen am 21.06.2018
• Titel Quelle: Enthalten in: The international journal of eating disorders
• Ort Quelle: New York, NY : Wiley, 1981
• Jahr Quelle: 2012
• Band/Heft Quelle: 45(2012), 5, Seite 677-684
• ISSN Quelle: 1098-108X
• DOI: doi:10.1002/eat.20958
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: classification
• Sach-SW: latent class analysis
• Sach-SW: sample size
• Sach-SW: simulation
• K10plus-PPN: 157671635X

Abstract

Objective: Latent class analysis (LCA) has frequently been used to identify qualitatively distinct phenotypes of disordered eating. However, little consideration has been given to methodological factors that may influence the accuracy of these results. Method: Monte Carlo simulations were used to evaluate methodological factors that may influence the accuracy of LCA under scenarios similar to those seen in previous eating disorder research. Results: Under these scenarios, the aBIC provided the best overall performance as an information criterion, requiring sample sizes of 300 in both balanced and unbalanced structures to achieve accuracy proportions of at least 80%. The BIC and cAIC required larger samples to achieve comparable performance, while the AIC performed poorly universally in comparison. Accuracy generally was lower with unbalanced classes, fewer indicators, greater or nonrandom missing data, conditional independence assumption violations, and lower base rates of indicator endorsement. Discussion: These results provide critical information for interpreting previous LCA research and designing future classification studies. © 2011 by Wiley Periodicals, Inc. (Int J Eat Disord 2011)