ERIC Number: EJ1235785
Record Type: Journal
Publication Date: 2019
Pages: 8
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1536-6367
EISSN: N/A
Can the One-Parameter Logistic Model Be a Spurious Finding for a Heterogeneous Population?
Raykov, Tenko; Marcoulides, George A.; Harrison, Michael
Measurement: Interdisciplinary Research and Perspectives, v17 n4 p192-199 2019
Utilizing the perspective of finite mixture modeling, this note considers whether a finding of a plausible one-parameter logistic model could be spurious for a population with substantial unobserved heterogeneity. A theoretically and empirically important setting is discussed involving the mixture of two latent classes, with the less restrictive two-parameter logistic model holding within each of the classes while the more restrictive one-parameter logistic model is plausible overall. A numerical example is presented then of obtaining the one-parameter logistic model as a spurious result in a finite mixture study. Implications for behavioral and social research are discussed in light of these findings.
Descriptors: Models, Evaluation Methods, Social Science Research, Statistical Analysis, Measurement Techniques
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A