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Rodriguez-Campos, Liliana; Rincones-Gomez, Rigoberto; Shen, Jianping – Frontiers of Education in China, 2008
Structural Equation Modeling (SEM) was used in this study to determine the extent to which teachers, principals, and superintendents perceive the leadership construct in the same way. The researchers found that the two-factor model fits the principal group and particularly the superintendent group better than does the four-factor model. The…
Descriptors: Structural Equation Models, Superintendents, Principals, Teacher Attitudes
Peer reviewedGood, Marie; Adams, Gerald R. – Adolescence (San Diego): an international quarterly devoted to the physiological, psychological, psychiatric, sociological, and educational aspects of the second decade of human life, 2008
This study used Structural Equation Modeling to test an Eriksonian conceptual model linking academic social environments (relationships with faculty and fellow students), ego-identity formation, ego virtues, and academic success. Participants included 765 first-year students at a university in southern Ontario, Canada. Results indicated that…
Descriptors: College Freshmen, Structural Equation Models, Self Concept, Academic Achievement
DiStefano, Christine; Kamphaus, R. W. – Research in the Schools, 2008
The current study investigated child behavioral change during the early years of elementary school. Behavioral Assessment System for Children (BASC; Reynolds & Kamphaus, 1992) teacher ratings of child behavior were collected over a three-year period. The sample consisted of 162 children measured yearly between first and third grade.…
Descriptors: Child Behavior, Behavior Change, Elementary School Students, Behavior Problems
Gavazzi, Stephen M.; Bostic, Jennifer M.; Lim, Ji-Young; Yarcheck, Courtney M. – Journal of Marital and Family Therapy, 2008
Faced with anywhere between one half and two thirds of its youth having a diagnosable mental illness, the identification and treatment of mental health concerns is a critically important endeavor for professionals working with youth who have contact with the juvenile justice system. In addition, the literature suggests that factors related to both…
Descriptors: Mental Health, Adolescents, Juvenile Justice, Family Influence
Williams, Jason; MacKinnon, David P. – Structural Equation Modeling: A Multidisciplinary Journal, 2008
Recent advances in testing mediation have found that certain resampling methods and tests based on the mathematical distribution of 2 normal random variables substantially outperform the traditional "z" test. However, these studies have primarily focused only on models with a single mediator and 2 component paths. To address this limitation, a…
Descriptors: Intervals, Testing, Predictor Variables, Effect Size
Josephson, Wendy L.; Proulx, Jocelyn B. – Journal of Interpersonal Violence, 2008
A structural equation model based on social cognitive theory was used to predict relationship violence from young adolescents' knowledge, self-efficacy, attitudes, and alternative conflict strategies (n = 143 male and 147 female grade 7-9 students). A direct causal effect was supported for violence-tolerant attitudes and psychologically aggressive…
Descriptors: Violence, Self Efficacy, Dating (Social), Epistemology
Hoshino, Takahiro; Shigemasu, Kazuo – Applied Psychological Measurement, 2008
The authors propose a concise formula to evaluate the standard error of the estimated latent variable score when the true values of the structural parameters are not known and must be estimated. The formula can be applied to factor scores in factor analysis or ability parameters in item response theory, without bootstrap or Markov chain Monte…
Descriptors: Monte Carlo Methods, Markov Processes, Factor Analysis, Computation
Keith, Timothy Z.; Reynolds, Matthew R.; Patel, Puja G.; Ridley, Kristen P. – Intelligence, 2008
Sex differences in the latent general and broad cognitive abilities underlying the Woodcock-Johnson Tests of Cognitive Abilities were investigated for children, youth, and adults ages 6 through 59. A developmental, multiple indicator-multiple cause, structural equation model was used to investigate sex differences in latent cognitive abilities as…
Descriptors: Females, Males, Cognitive Ability, Structural Equation Models
Guay, Frederic; Marsh, Herbert W.; Senecal, Caroline; Dowson, Martin – British Journal of Educational Psychology, 2008
Background: The literature on the determinants of academic motivation indicates that social and affective processes connected to students' interpersonal relationships are central elements in understanding students' academic motivation and other school-related outcomes. Aims: The aim of this study was to answer the following questions: Does…
Descriptors: Structural Equation Models, Late Adolescents, Student Motivation, Academic Achievement
Hatzenbuehler, Mark L.; McLaughlin, Katie A.; Nolen-Hoeksema, Susan – Journal of Child Psychology and Psychiatry, 2008
Background: Sexual minority adolescents appear to be at increased risk for internalizing disorders relative to their heterosexual peers, but there is a paucity of research explaining this elevated risk. Emotion regulation deficits are increasingly understood as important predictors of internalizing psychopathology among general samples of…
Descriptors: Structural Equation Models, Psychopathology, Adolescents, Homosexuality
Hughes, Jan N.; Luo, Wen; Kwok, Oi-Man; Loyd, Linda K. – Journal of Educational Psychology, 2008
Measures of teacher-student relationship quality (TSRQ), effortful engagement, and achievement in reading and math were collected once each year for 3 consecutive years, beginning when participants were in 1st grade, for a sample of 671 (53.1% male) academically at-risk children attending 1 of 3 school districts in Texas. In separate latent…
Descriptors: Structural Equation Models, Longitudinal Studies, Grade 1, Teacher Student Relationship
Baloglu, Mustafa – 1999
This paper provides theoretical and practical information about using structural equation modeling (SEM) techniques. The first section discusses the theory of SEM, including five general steps: (1) model specification; (2) model identification; (3) model estimation; (4) testing model fit; and (5) model respecification. The second section applies…
Descriptors: Structural Equation Models, Theory Practice Relationship
Kim, Se-Kang – 2002
The effect of bootstrapping was studied by examining whether major profile patterns were replicated when sample sizes were reduced. Profile patterns estimated from the original sample (n=645) of the Wechsler Preschool and Primary Scale of IntelligenceThird Edition (WPPSI-III) Standardization Data were considered major profiles. For bootstrapping,…
Descriptors: Profiles, Sample Size, Structural Equation Models
Peer reviewedBabyak, Michael A.; Green, Samuel B. – Multivariate Behavioral Research, 1997
Contrasting positions about the evaluation of multiple tests of constraints and control of Type I errors in structural equation modeling (SEM) are presented. It is argued that researchers should consider controlling for Type I errors in evaluating multiple tests of constraints for other than exploratory analyses. (SLD)
Descriptors: Error of Measurement, Structural Equation Models
Peer reviewedRaykov, Tenko; Shrout, Patrick E. – Structural Equation Modeling, 2002
Discusses a method for obtaining point and interval estimates of reliability for composites of measures with a general structure. The approach is based on fitting a correspondingly constrained structural equation model and generalizes earlier covariance structure analysis methods for scale reliability estimation with congeneric tests. (SLD)
Descriptors: Estimation (Mathematics), Reliability, Structural Equation Models

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