Using Log-Linear Models for Longitudinal Data to Test Alternative Explanations for Stage-Like Phenomena: An Example from Research on Adolescent Substance Abuse.

Miller, Todd Q.; Flay, Brian R.

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Peer reviewed

ERIC Number: EJ533489

Record Type: Journal

Publication Date: 1996

Pages: N/A

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ISSN: ISSN-0027-3171

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Using Log-Linear Models for Longitudinal Data to Test Alternative Explanations for Stage-Like Phenomena: An Example from Research on Adolescent Substance Abuse.

Miller, Todd Q.; Flay, Brian R.

Multivariate Behavioral Research, v31 n2 p169-96 1996

How log-linear models for multiwave longitudinal data can be used to test hypotheses relating to stagelike relationships between variables is demonstrated using data from research on adolescent cigarette and marijuana experimentation. Results with 2,658 adolescents show that the multiwave analyses allow the testing of several hypotheses. (SLD)

Descriptors: Adolescents, Experiments, Hypothesis Testing, Longitudinal Studies, Marijuana, Scientific Methodology, Smoking, Substance Abuse

Publication Type: Reports - Evaluative; Journal Articles

Education Level: N/A

Audience: N/A

Language: English

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Authoring Institution: N/A

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Author Affiliations: N/A