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Yang-Hansen, Kajsa – Educational Research and Evaluation, 2008
This study examined changes in the effect of socioeconomic status (SES) on reading achievement at individual and school levels between 1991 and 2001. Data from 9 countries that participated in both the International Association for the Evaluation of Educational Achievement (IEA) Reading Literacy Study 1991 and the Trend Study in the Progress in…
Descriptors: Reading Achievement, Educational Trends, Socioeconomic Influences, Hypothesis Testing
Sun, Jun; Willson, Victor L. – Educational and Psychological Measurement, 2008
This article proposes a multilevel modeling approach to study the general and specific attitudes formed in human learning behavior. Based on the premises of activity theory, it conceptualizes the unit of analysis for attitude measurement as a scalable and evolving activity system rather than a single action. Measurement issues related to this…
Descriptors: Structural Equation Models, Psychometrics, Multitrait Multimethod Techniques, Attitude Measures
Brown, Steven D.; Tramayne, Selena; Hoxha, Denada; Telander, Kyle; Fan, Xiaoyan; Lent, Robert W. – Journal of Vocational Behavior, 2008
This study tested Social Cognitive Career Theory's (SCCT) academic performance model using a two-stage approach that combined meta-analytic and structural equation modeling methodologies. Unbiased correlations obtained from a previously published meta-analysis [Robbins, S. B., Lauver, K., Le, H., Davis, D., & Langley, R. (2004). Do psychosocial…
Descriptors: Grade Point Average, Structural Equation Models, Persistence, Academic Achievement
Neely-Barnes, Susan; Marcenko, Maureen; Weber, Lisa – Intellectual and Developmental Disabilities, 2008
Consumer choice is a key concept in developmental disability intervention, but relatively little quantitative research has focused on the relationship between choice and quality of life. This study used data from Washington state's Division of Developmental Disabilities 2002 National Core Indicators study (Human Services Research Institute, 2001a,…
Descriptors: Human Services, Structural Equation Models, Mild Mental Retardation, Quality of Life
Olsen, Joseph A.; Kenny, David A. – Psychological Methods, 2006
Structural equation modeling (SEM) can be adapted in a relatively straightforward fashion to analyze data from interchangeable dyads (i.e., dyads in which the 2 members cannot be differentiated). The authors describe a general strategy for SEM model estimation, comparison, and fit assessment that can be used with either dyad-level or pairwise…
Descriptors: Structural Equation Models, Data Analysis, Models, Factor Analysis
Adlakha, V.; Kowalski, K. – International Journal of Mathematical Education in Science and Technology, 2007
The connection between linear and 0-1 integer linear formulations has attracted the attention of many researchers. The main reason triggering this interest has been an availability of efficient computer programs for solving pure linear problems including the transportation problem. Also the optimality of linear problems is easily verifiable…
Descriptors: Numbers, Mathematics Instruction, Mathematical Applications, Mathematical Formulas
Selim, Hassan M. – Computers & Education, 2007
E-learning, one of the tools emerged from information technology, has been integrated in many university programs. There are several factors that need to be considered while developing or implementing university curriculums that offer e-learning based courses. This paper is intended to specify e-learning critical success factors (CSFs) as…
Descriptors: Information Technology, College Students, Online Courses, Higher Education
Rapp, Richard C.; Xu, Jiangmin; Carr, Carey A.; Lane, D. Timothy; Redko, Cristina; Wang, Jichuan; Carlson, Robert G. – Substance Abuse, 2007
The goal of this study was to more fully understand readiness for treatment in a pre-treatment sample of 446 substance abusers. Structural Equation Modeling (SEM) was used to: (1) examine the relationships between readiness factors identified in the Pre-Treatment Readiness Scale; and (2) identify the effects of predisposing, illness, and…
Descriptors: Substance Abuse, Structural Equation Models, Construct Validity, Therapy
Willoughby, Michael T.; Sideris, John – Measurement: Interdisciplinary Research and Perspectives, 2007
In this article, the authors comment on Nesselroade, Gerstorf, Hardy, and Ram's efforts (this issue) to grapple with the challenge of accommodating idiographic assessment as it pertains to measurement invariance (MI). Although the authors are in complete agreement with the motivation for Nesselroade et al.'s work, the authors have concerns about…
Descriptors: Measurement Techniques, Evaluation, Motivation, Individual Differences
Leite, Walter L. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
Univariate latent growth modeling (LGM) of composites of multiple items (e.g., item means or sums) has been frequently used to analyze the growth of latent constructs. This study evaluated whether LGM of composites yields unbiased parameter estimates, standard errors, chi-square statistics, and adequate fit indexes. Furthermore, LGM was compared…
Descriptors: Comparative Analysis, Computation, Structural Equation Models, Goodness of Fit
Kozyrev, F. N.; Avest, K. H. ter – British Journal of Religious Education, 2007
In Russia a new school subject has been introduced in order to facilitate educators in shaping the enculturation process of the autonomous student into the cumulative tradition. In this article the Russian societal and educational context is described and the concepts "religion" and "culture" are clarified. Together they build…
Descriptors: Foreign Countries, Beliefs, Acculturation, Structural Equation Models
Hoshino, Takahiro – Psychometrika, 2007
Due to the difficulty in achieving a random assignment, a quasi-experimental or observational study design is frequently used in the behavioral and social sciences. If a nonrandom assignment depends on the covariates, multiple group structural equation modeling, that includes the regression function of the dependent variables on the covariates…
Descriptors: Structural Equation Models, Simulation, Observation, Behavioral Science Research
Vogel, David L.; Wade, Nathaniel G.; Hackler, Ashley H. – Journal of Counseling Psychology, 2007
This study examined the mediating effects of the self-stigma associated with seeking counseling and attitudes toward seeking counseling on the link between perceived public stigma and willingness to seek counseling for psychological and interpersonal concerns. Structural equation modeling of data from 676 undergraduates indicated that the link…
Descriptors: Counseling Psychology, Structural Equation Models, Help Seeking, Social Attitudes

Heuchenne, Christian – Structural Equation Modeling, 1997
A rule is presented to identify the model in structural equation modeling. This rule includes the null B and recursive rules as extreme cases. Proof is given for the theorem. (SLD)
Descriptors: Algorithms, Identification, Structural Equation Models

Little, Todd D.; Cunningham, William A.; Shahar, Golan; Widaman, Keith F. – Structural Equation Modeling, 2002
Studied the evidence for the practice of using parcels of item as manifest variables in structural equation modeling procedures. Findings suggest that the unconsidered use of parcels is never warranted, but the considered use of parcels cannot be dismissed out of hand. Describes a number of parceling techniques and their strengths and weaknesses.…
Descriptors: Structural Equation Models, Test Items