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Feldman, Betsy J.; Masyn, Katherine E.; Conger, Rand D. – Developmental Psychology, 2009
Analyzing problem-behavior trajectories can be difficult. The data are generally categorical and often quite skewed, violating distributional assumptions of standard normal-theory statistical models. In this article, the authors present several currently available modeling options, all of which make appropriate distributional assumptions for the…
Descriptors: Structural Equation Models, Behavior Problems, Student Behavior, Adolescents
Witta, E. Lea – 2001
The influence of method of handling missing data on estimates produced by a structural equation model of the effects of part-time work on high-school student achievement was investigated. Missing data methods studied were listwise deletion, pairwise deletion, the expectation maximization (EM) algorithm, regression, and response pattern. The 26…
Descriptors: Academic Achievement, High School Students, High Schools, Regression (Statistics)
Peer reviewedMenard, Scott; Huizinga, David – Youth & Society, 1994
Data from the National Youth Study of 1976 are analyzed to explore the relations between conventional beliefs and attitudes and delinquent behavior. Using a stage-state analysis in addition to structural-equation models reveals aspects of the relation that are not apparent from structural equations alone. (SLD)
Descriptors: Adolescents, Attitude Change, Behavior Change, Beliefs

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