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Showing 1 to 15 of 17 results Save | Export
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Zhang, Zhiyong; Wang, Lijuan – Psychometrika, 2013
Despite wide applications of both mediation models and missing data techniques, formal discussion of mediation analysis with missing data is still rare. We introduce and compare four approaches to dealing with missing data in mediation analysis including list wise deletion, pairwise deletion, multiple imputation (MI), and a two-stage maximum…
Descriptors: Maximum Likelihood Statistics, Structural Equation Models, Simulation, Measurement Techniques
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Morris, R. C. – Current Issues in Education, 2016
Higher education research highlights the difficulties students face when transitioning from a junior college to a traditional university. This study explored a gap between junior vs. traditional university students' academic self-efficacy beliefs. This study also controlled for the effects of the student role-identity and academic performance on…
Descriptors: Self Efficacy, Two Year Colleges, College Students, Higher Education
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Wu, Jiun-Yu; Kwok, Oi-man – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Both ad-hoc robust sandwich standard error estimators (design-based approach) and multilevel analysis (model-based approach) are commonly used for analyzing complex survey data with nonindependent observations. Although these 2 approaches perform equally well on analyzing complex survey data with equal between- and within-level model structures…
Descriptors: Structural Equation Models, Surveys, Data Analysis, Comparative Analysis
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Erdogan, Niyazi; Navruz, Bilgin; Younes, Rayya; Capraro, Robert M. – EURASIA Journal of Mathematics, Science & Technology Education, 2016
Recent studies on professional development programs indicate these programs, when sustained, have a positive impact on student achievement; however, many of these studies have failed to use longitudinal data. The purpose of this study is to understand how one particular instructional practice (STEM PBL) used consistently influences student…
Descriptors: STEM Education, Active Learning, Student Projects, Science Achievement
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Gunnell, Katie E.; Wilson, Philip M.; Zumbo, Bruno D.; Mack, Diane E.; Crocker, Peter R. E. – Measurement in Physical Education and Exercise Science, 2012
The researchers examined if scores from the original Psychological Need Satisfaction in Exercise Scale (Wilson, Rogers, Rodgers, & Wild, 2006) were invariant from a modified version specific to physical activity and then examined measurement invariance of scores across groups on the modified scale. Three groups were examined: (a) Students/staff…
Descriptors: Psychological Needs, Physical Activities, Structural Equation Models, Factor Structure
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Barrett, David E.; Katsiyannis, Antonis; Zhang, Dalun; Zhang, Dake – Behavioral Disorders, 2014
This study examined influences on delinquency and recidivism using structural equation modeling. The sample comprised 199,204 individuals: 99,602 youth whose cases had been processed by the South Carolina Department of Juvenile Justice and a matched control group of 99,602 youth without juvenile records. Structural equation modeling for the…
Descriptors: Structural Equation Models, Influences, Delinquency, Recidivism
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Kim, Su-Young; Kim, Jee-Seon – Structural Equation Modeling: A Multidisciplinary Journal, 2012
This article investigates three types of stage-sequential growth mixture models in the structural equation modeling framework for the analysis of multiple-phase longitudinal data. These models can be important tools for situations in which a single-phase growth mixture model produces distorted results and can allow researchers to better understand…
Descriptors: Structural Equation Models, Data Analysis, Research Methodology, Longitudinal Studies
Song, Ji Hoon – Performance Improvement Quarterly, 2011
The purpose of this research was to examine the mediating roles of job autonomy and the quality of the leader-member relationship to explain the impact of organizational support on team performance. A total of 228 cases collected from Korean business organizations were used for data analysis. Hierarchical multiple regression, Type 1 SS-based…
Descriptors: Structural Equation Models, Teamwork, Data Analysis, Foreign Countries
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Roesch, Scott C.; Aldridge, Arianna A.; Stocking, Stephanie N.; Villodas, Feion; Leung, Queenie; Bartley, Carrie E.; Black, Lisa J. – Multivariate Behavioral Research, 2010
This study used multilevel modeling of daily diary data to model within-person (state) and between-person (trait) components of coping variables. This application included the introduction of multilevel factor analysis (MFA) and a comparison of the predictive ability of these trait/state factors. Daily diary data were collected on a large (n =…
Descriptors: Structural Equation Models, Coping, Factor Analysis, Correlation
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Kazi, Mansoor A. F.; Pagkos, Brian; Milch, Heidi A. – Research on Social Work Practice, 2011
Objectives: The purpose of this study was to develop a realist evaluation paradigm in social work evidence-based practice. Method: Wraparound (at Gateway-Longview Inc., New York) used a reliable outcome measure and an electronic database to systematically collect and analyze data on the interventions, the client demographics and circumstances, and…
Descriptors: Intervals, Data Analysis, Social Work, Sample Size
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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
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Maschi, Tina; Morgen, Keith; Hatcher, Schnavia Smith; Rosato, Nancy Scotto; Violette, Nancy M. – Social Work, 2009
The purpose of this secondary data analysis was to explore the mediating influence of internalizing behavior on the link between child maltreatment and externalizing behavior (for example, rule-breaking behavior and aggressive behavior) among children. Using a longitudinal comparison group design and a sample of 300 youths (56 percent maltreated),…
Descriptors: Child Abuse, Psychological Patterns, Antisocial Behavior, Behavior Problems
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Tam, Frank Wai-ming; Taki, Mitsuru – Educational Research and Evaluation, 2007
One widely accepted explanation of bullying, known as the aggressive-motive thesis, assumes that bullying is a form of aggressive behaviour triggered by external stress. However, recent evidences have suggested a different explanation, known as the frustration-aggression thesis, which asserts that bullying is a psychological defense triggered by…
Descriptors: Secondary Schools, Elementary Schools, Bullying, Females
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Jaccard, James; Guilamo-Ramos, Vincent; Johansson, Margaret; Bouris, Alida – Journal of Clinical Child and Adolescent Psychology, 2006
A major form of data analysis in clinical child and adolescent psychology is multiple regression. This article reviews issues in the application of such methods in light of the research designs typical of this field. Issues addressed include controlling covariates, evaluation of predictor relevance, comparing predictors, analysis of moderation,…
Descriptors: Multiple Regression Analysis, Clinical Psychology, Child Psychology, Adolescents
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Byrne, Barbara M. – International Journal of Testing, 2001
Uses a confirmatory factor analytic (CFA) model as a paradigmatic basis for the comparison of three widely used structural equation modeling computer programs: (1) AMOS 4.0; (2) EQS 6; and (3) LISREL 8. Comparisons focus on aspects of programs that bear on the specification and testing of CFA models and the treatment of incomplete, nonnormally…
Descriptors: Comparative Analysis, Computer Software, Data Analysis, Statistical Distributions
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