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Estrada, Joey Nuñez, Jr.; Gilreath, Tamika D.; Astor, Ron Avi; Benbenishty, Rami – Journal of School Violence, 2014
There is insufficient empirical evidence exploring associations between gang membership and school violence behaviors. Using a sample of 272,863 high school students, this study employs a structural equation model to examine how school risk and protective behaviors and attitudes mediate effects of gang members' involvement with school violence…
Descriptors: Juvenile Gangs, Violence, At Risk Persons, Resilience (Psychology)
Klassen, Robert M.; Ang, Rebecca P.; Chong, Wan Har; Krawchuk, Lindsey L.; Huan, Vivien S.; Wong, Isabella Y. F.; Yeo, Lay See – Journal of Research on Adolescence, 2009
In this study, we explore academic procrastination and associated motivation variables in 612 adolescents from Canada and Singapore. Few studies have explored adolescent procrastination and no previous studies have investigated adolescent procrastination using a cross-cultural framework. Singaporean adolescents reported higher levels of…
Descriptors: Adolescents, Cross Cultural Studies, Self Efficacy, Structural Equation Models
Markus, Keith A. – Multivariate Behavioral Research, 2008
One can distinguish statistical models used in causal modeling from the causal interpretations that align them with substantive hypotheses. Causal modeling typically assumes an efficient causal interpretation of the statistical model. Causal modeling can also make use of mereological causal interpretations in which the state of the parts…
Descriptors: Research Design, Structural Equation Models, Data Analysis, Causal Models
Willse, John T.; Goodman, Joshua T. – Educational and Psychological Measurement, 2008
This research provides a direct comparison of effect size estimates based on structural equation modeling (SEM), item response theory (IRT), and raw scores. Differences between the SEM, IRT, and raw score approaches are examined under a variety of data conditions (IRT models underlying the data, test lengths, magnitude of group differences, and…
Descriptors: Test Length, Structural Equation Models, Effect Size, Raw Scores
Eid, Michael; Nussbeck, Fridtjof W.; Geiser, Christian; Cole, David A.; Gollwitzer, Mario; Lischetzke, Tanja – Psychological Methods, 2008
The question as to which structural equation model should be selected when multitrait-multimethod (MTMM) data are analyzed is of interest to many researchers. In the past, attempts to find a well-fitting model have often been data-driven and highly arbitrary. In the present article, the authors argue that the measurement design (type of methods…
Descriptors: Structural Equation Models, Multitrait Multimethod Techniques, Statistical Analysis, Error of Measurement
Yoon, Myeongsun; Millsap, Roger E. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
In testing factorial invariance, researchers have often used a reference variable strategy in which the factor loading for a variable (i.e., reference variable) is fixed to 1 for identification. This commonly used method can be misleading if the chosen reference variable is actually a noninvariant item. This simulation study suggests an…
Descriptors: Item Analysis, Testing, Monte Carlo Methods, Structural Equation Models
Maydeu-Olivares, Alberto; Hernandez, Adolfo – Multivariate Behavioral Research, 2007
The interpretation of a Thurstonian model for paired comparisons where the utilities' covariance matrix is unrestricted proved to be difficult due to the comparative nature of the data. We show that under a suitable constraint the utilities' correlation matrix can be estimated, yielding a readily interpretable solution. This set of identification…
Descriptors: Identification, Structural Equation Models, Matrices, Comparative Analysis

Heck, Ronald H.; Marcoulides, George A. – Urban Review, 1990
This study examines (1) the generalizability of a principal instructional leadership model proposed by Bossert, Dwyer, Rowan, and Lee (1982) across school levels, and (2) whether elementary principals exert more influence over school achievement than secondary principals. Findings supported (1) but not (2). Theoretical and practical implications…
Descriptors: Academic Achievement, Elementary Secondary Education, Leadership, Principals

Struthers, C. Ward; Perry, Raymond P.; Menec, Verena H. – Research in Higher Education, 2000
This study with 203 college students used structural equation analysis and found that the relationship between students' academic stress and course grades was influenced by problem-focused coping and motivation, but not by emotion-focused coping. Greater academic stress covaried with lower course grades. (DB)
Descriptors: Coping, Higher Education, Personality Traits, Problem Solving
Solantaus, Tytti; Leinonen, Jenni; Punam Ki, Raija-Leena – Developmental Psychology, 2004
This study evaluated the applicability of the family economic stress model (FESM) in understanding the influences of economic hardship on child mental health during a nationwide economic recession in Finland. The information was gathered from 527 triads of 12-year-olds and their mothers and fathers from a population sample. The structural equation…
Descriptors: Foreign Countries, Models, Children, Structural Equation Models
Pituch, Keenan A.; Lee, Yao-kuei – Computers and Education, 2006
The benefits of an e-learning system will not be maximized unless learners use the system. This study proposed and tested alternative models that seek to explain student intention to use an e-learning system when the system is used as a supplementary learning tool within a traditional class or a stand-alone distance education method. The models…
Descriptors: Participant Characteristics, Structural Equation Models, Distance Education, Internet
Addi-Raccah, Audrey; Mazawi, Andre Elias – Educational Studies, 2004
A major shortcoming of macro-spatial research undertaken to date in Israel pertains to the neglect of state investment-related measures and the extent to which they mediate unequal opportunities to learn (OTL) and educational opportunities between localities. In the present study, OTL refer to class size and high-school tracking patterns.…
Descriptors: Foreign Countries, Credentials, Structural Equation Models, Jews
Glockner-Rist, Angelika; Hoijtink, Herbert – Structural Equation Modeling: A Multidisciplinary Journal, 2003
Both structural equation modeling (SEM) and item response theory (IRT) can be used for factor analysis of dichotomous item responses. In this case, the measurement models of both approaches are formally equivalent. They were refined within and across different disciplines, and make complementary contributions to central measurement problems…
Descriptors: Social Science Research, Measurement Techniques, Social Sciences, Item Response Theory
Sivo, Stephen A.; Pan, Cheng-Chang; Hahs-Vaughn, Debbie L. – British Journal of Educational Technology, 2007
Factors affecting the student use of a course management system in a web-enhanced course are investigated using the technology acceptance model. Represented in the present study is the second phase of the analysis, with a focus on the causal relationship of subjective norms to student attitudes towards WebCT and their effect on three dependent…
Descriptors: Student Attitudes, Online Courses, Structural Equation Models, Web Based Instruction

Rosenberg, Morris; And Others – American Sociological Review, 1989
Explores the reciprocal relationships between self-esteem and the following three problems of youth: (1) juvenile delinquency; (2) poor school performance; and (3) psychological depression. Findings include the following: (1) low self-esteem fosters delinquency, which may enhance self-esteem; (2) school performance affects self-esteem; and (3)…
Descriptors: Academic Achievement, Adolescents, Causal Models, Delinquency
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