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Zullig, Keith J.; Ward, Rose Marie; King, Keith A.; Patton, Jon M.; Murray, Karen A. – Assessment, 2009
The purpose of this investigation was to assess the reliability and validity of eight developmental asset measures among a stratified, random sample (N = 540) of college students to guide health promotion efforts. The sample was randomly split to produce exploratory and confirmatory samples for factor analysis using principal axis factoring and…
Descriptors: College Students, Health Promotion, Structural Equation Models, Factor Analysis

Pike, Gary R. – Review of Higher Education, 1992
A study at the University of Tennessee Knoxville used mixed-effect structural equation models incorporating latent variables as an alternative to conventional methods of analyzing college students' (n=722) first-year-to-senior academic gains. Results indicate, contrary to previous analysis, that coursework and student characteristics interact to…
Descriptors: Academic Achievement, Achievement Gains, College Students, Higher Education
Lerner, Richard M.; Lerner, Jacqueline V.; Almerigi, Jason B.; Theokas, Christina; Phelps, Erin; Gestsdottir, Steinunn; Naudeau, Sophie; Jelicic, Helena; Alberts, Amy; Ma, Lang; Smith, Lisa M.; Bobek, Deborah L.; Richman-Raphael, David; Christiansen, Elise DiDenti; von Eye, Alexander – Journal of Early Adolescence, 2005
The 4-H Study of Positive Youth Development (PYD), a longitudinal investigation of a diverse sample of 1,700 fifth graders and 1,117 of their parents, tests developmental contextual ideas linking PYD, youth contributions, and participation in community youth development (YD) programs, representing a key ecological asset. Using data from Wave 1 of…
Descriptors: Grade 5, Youth Programs, Community Programs, Structural Equation Models

Pike, Gary R. – Research in Higher Education, 1991
Analysis of data on freshman-to-senior developmental gains in 722 University of Tennessee-Knoxville students provides evidence of the advantages of structural equation modeling with latent variables and suggests that the group differences identified by traditional analysis of variance and covariance techniques may be an artifact of measurement…
Descriptors: Case Studies, College Freshmen, College Seniors, Error of Measurement