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Direct linkHuba, G. J.; Panter, A. T.; Melchior, Lisa A.; Trevithick, Lee; Woods, Elizabeth R.; Wright, Eric; Feudo, Rudy; Tierney, Steven; Schneir, Arlene; Tenner, Adam; Remafedi, Gary; Greenberg, Brian; Sturdevant, Marsha; Goodman, Elizabeth; Hodgins, Antigone; Wallace, Michael; Brady, Russell E.; Singer, Barney; Marconi, Katherine – Structural Equation Modeling: A Multidisciplinary Journal, 2003
This article examines the structure of several HIV risk behaviors in an ethnically and geographically diverse sample of 8,251 clients from 10 innovative demonstration projects intended for adolescents living with, or at risk for, HIV. Exploratory and confirmatory factor analyses identified 2 risk factors for men (sexual intercourse with men and a…
Descriptors: Health Programs, Substance Abuse, Structural Equation Models, Risk
Fox, John – Structural Equation Modeling: A Multidisciplinary Journal, 2006
R is free, open-source, cooperatively developed software that implements the S statistical programming language and computing environment. The current capabilities of R are extensive, and it is in wide use, especially among statisticians. The sem package provides basic structural equation modeling facilities in R, including the ability to fit…
Descriptors: Structural Equation Models, Computer Software, Least Squares Statistics, Programming Languages
Noar, Seth M. – Structural Equation Modeling: A Multidisciplinary Journal, 2003
Across a variety of disciplines and areas of inquiry, reliable and valid measures are a cornerstone of quality research. This is the case because to have confidence in the findings of our studies, we must first have confidence in the quality of our measures. This article briefly reviews the literature on scale development and provides an empirical…
Descriptors: Measures (Individuals), Factor Analysis, Structural Equation Models, Test Validity
Bai, Yun; Poon, Wai-Yin; Cheung, Gordon Wai Hung – Structural Equation Modeling: A Multidisciplinary Journal, 2006
Two-level data sets are frequently encountered in social and behavioral science research. They arise when observations are drawn from a known hierarchical structure, as when individuals are randomly drawn from groups that are randomly drawn from a target population. When the covariance structures in the group level and the individual level are the…
Descriptors: Evaluation Methods, Predictor Variables, Social Science Research, Behavioral Science Research
Leung, Doris Y. P.; Kember, David – Structural Equation Modeling: A Multidisciplinary Journal, 2006
The expansion in the number of people entering higher education has resulted in a substantial increase in the proportion of students enrolling in nontraditional modes, such as part-time study. This study examined the question of whether part-time study curtails the development of the types of intellectual capabilities needed for a knowledge-based…
Descriptors: Full Time Students, Teaching Methods, Teacher Student Relationship, Part Time Students
