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Hershberger, Scott L. – Structural Equation Modeling: A Multidisciplinary Journal, 2003
This study examines the growth and development of structural equation modeling (SEM) from the years 1994 to 2001. The synchronous development and growth of the Structural Equation Modeling journal was also examined. Abstracts located on PsycINFO were used as the primary source of data. The major results of this investigation were clear: (a) The…
Descriptors: Primary Sources, Journal Articles, Structural Equation Models, Periodicals
Fan, Xitao; Fan, Xiaotao – Journal of Experimental Education, 2005
The authors investigated 2 issues concerning the power of latent growth modeling (LGM) in detecting linear growth: the effect of the number of repeated measurements on LGM's power in detecting linear growth and the comparison between LGM and some other approaches in terms of power for detecting linear growth. A Monte Carlo simulation design was…
Descriptors: Statistical Analysis, Sample Size, Monte Carlo Methods, Structural Equation Models
Peer reviewedTrusty, Jerry; Ng, Kok-Mun; Watts, Richard E. – Journal of Counseling and Development, 2005
The effects of adult attachment on emotional empathy were investigated using a sample of master's-degree level counseling students. Through structural equation modeling, the authors found that the latent attachment dimensions of avoidance and anxiety work in tandem in their effects on empathy. Lower avoidance and higher anxiety were associated…
Descriptors: Structural Equation Models, Empathy, Counselor Educators, Counseling
Lee, Sik-Yum; Song, Xin Yuan; Poon, Wai-Yin – Multivariate Behavioral Research, 2004
Various approaches using the maximum likelihood (ML) option of the LISREL program and products of indicators have been proposed to analyze structural equation models with non-linear latent effects on the basis of Kenny and Judd's formulation. Recently, some methods based on the Bayesian approach and the exact ML approaches have been developed.…
Descriptors: Comparative Analysis, Structural Equation Models, Statistical Analysis, Evaluation Methods
McDonald, Roderick P. – Structural Equation Modeling, 2004
Improper structures arising from the estimation of parameters in structural equation models (SEMs) are commonly an indication that the model is incorrectly specified. The use of boundary solutions cannot in general be recommended. Partly on the basis of theory given by Van Driel, and partly by example, suggestions are made for using the data as…
Descriptors: Structural Equation Models, Evaluation Methods, Error of Measurement, Evaluation Research
Cheung, Mike W.-L.; Chan, Wai – Educational and Psychological Measurement, 2005
Researchers are becoming interested in combining meta-analytic techniques and structural equation modeling to test theoretical models from a pool of studies. Most existing procedures are based on the assumption that all correlation matrices are homogeneous. Few studies have addressed what the next step should be when studies being analyzed are…
Descriptors: Multivariate Analysis, Meta Analysis, Correlation, Structural Equation Models
Buehler, Cheryl; Lange, Garrett; Franck, Karen L. – Child Development, 2007
Early adolescents' (11-14 years) responses to marital hostility were examined in a sample of 416 families. The cognitive-contextual perspective and emotional security hypothesis guided the study and 9 adolescent responses were identified. Prospective associations were examined in several structural equation models that included adolescent problems…
Descriptors: Psychological Patterns, Psychological Needs, Adolescents, Structural Equation Models
Bollen, Kenneth A. – Psychological Methods, 2007
R. D. Howell, E. Breivik, and J. B. Wilcox (2007) have argued that causal (formative) indicators are inherently subject to interpretational confounding. That is, they have argued that using causal (formative) indicators leads the empirical meaning of a latent variable to be other than that assigned to it by a researcher. Their critique of causal…
Descriptors: Researchers, Structural Equation Models, Formative Evaluation, Transformative Learning
Demerouti, Evangelia; Taris, Toon W.; Bakker, Arnold B. – Journal of Vocational Behavior, 2007
This study examines the mechanisms through which experiences in the home domain influence work performance by bringing together the literature on recovery and the work-family interface. A longitudinal study among 123 employees from different organizations was conducted to investigate whether need for recovery and home-work interference (HWI)…
Descriptors: Structural Equation Models, Hypothesis Testing, Job Performance, Program Effectiveness
Summers, Jessica J.; Svinicki, Marilla D. – Learning and Individual Differences, 2007
The purpose of this research was to demonstrate an empirical relationship between classroom community and students' achievement goals in higher education, and to offer a possible explanation for differences in this relationship for cooperative and non-cooperative classrooms. Structural equation modeling techniques revealed that students'…
Descriptors: Higher Education, Student Attitudes, Structural Equation Models, Cooperative Learning
Siperstein, Gary N.; Parker, Robin C.; Bardon, Jennifer Norins; Widaman, Keith F. – Exceptional Children, 2007
The authors surveyed a national random sample of 5,837 middle school students on their attitudes toward the inclusion of peers with intellectual disabilities (ID). The national sample provided results that were accurate, with a margin of error of plus or minus 1.4%. Findings indicated that youth (a) have limited contact with students with ID in…
Descriptors: Inclusive Schools, Structural Equation Models, Mental Retardation, Special Needs Students
Ruchkin, Vladislav; Henrich, Christopher C.; Jones, Stephanie M.; Vermeiren, Robert; Schwab-Stone, Mary – Journal of Abnormal Child Psychology, 2007
Understanding the mechanisms underlying the development of violence exposure sequelae is essential to providing effective treatments for traumatized youth. This longitudinal study examined the mediating role of posttraumatic stress in the relationship between violence exposure and psychopathology, and compared the mediated models by gender. Urban…
Descriptors: Structural Equation Models, Posttraumatic Stress Disorder, Psychopathology, Urban Youth
Anthony, Jason L.; Williams, Jeffrey M.; McDonald, Renee; Francis, David J. – Annals of Dyslexia, 2007
Phonological awareness, phonological memory, and phonological access to lexical storage play important roles in acquiring literacy. We examined the convergent, discriminant, and predictive validity of these phonological processing abilities (PPA) in 389 3-, 4-, and 5-year-old children. Confirmatory factor analysis supported the validity of each…
Descriptors: Structural Equation Models, Predictive Validity, Preschool Children, Factor Analysis
Woolley, Michael E.; Strutchens, Marilyn E.; Gilbert, Melissa C.; Martin, W. Gary – Negro Educational Review, 2010
Student self-report data from 933 Black middle school students and standardized mathematics test scores (SAT-10) were used to examine the relationship among student perceptions of teacher expectations and reform instructional practices, aspects of student motivation, and three student mathematics performance outcomes--time spent studying, expected…
Descriptors: Middle School Students, Structural Equation Models, Mathematics Tests, Student Motivation
Lee, Shih-Ting – ProQuest LLC, 2009
This study examined the relationships between metacognition, self-regulation and students' critical thinking skills and disposition in online Socratic Seminars for ninth grade World Geography and Culture students. Participants of this study came from six intact pre-AP (Pre-Advanced Placement) classes in a public high school in south central Texas…
Descriptors: High School Students, Metacognition, Self Management, Critical Thinking

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