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Xie, Jun; Bentler, Peter M. – Structural Equation Modeling: A Multidisciplinary Journal, 2003
Covariance structure models are applied to gene expression data using a factor model, a path model, and their combination. The factor model is based on a few factors that capture most of the expression information. A common factor of a group of genes may represent a common protein factor for the transcript of the co-expressed genes, and hence, it…
Descriptors: Path Analysis, Genetics, Structural Equation Models, Factor Analysis
Tauriac, Jesse J. – ProQuest LLC, 2009
Researchers express growing concern over the increasing higher education achievement gap between subgroups of Black American students (e.g., Massey, Mooney, Torres, & Charles, 2007). Whereas the number of degrees awarded to Black females has consistently grown for each of the past twenty years, the number of degrees awarded to Black males during…
Descriptors: African American Students, First Generation College Students, Structural Equation Models, Academic Achievement
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Shedler, Johnathan – Measurement and Evaluation in Counseling and Development, 1995
Discusses linear structural relations, Two Stage Least Squares, and path analysis as statistical procedures that sometimes permit causal inferences from correlational findings. Even though two variables cannot be interpreted causally due to a possible but unknown third variable, these methods are appropriate for handling models with correlated…
Descriptors: Causal Models, Correlation, Higher Education, Path Analysis
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Marsh, Herbert W.; Dowson, Martin; Pietsch, James; Walker, Richard – Journal of Educational Psychology, 2004
Multicollinearity is a well-known general problem, but it also seriously threatens valid interpretations in structural equation models. Illustrating this problem, J. Pietsch, R. Walker, and E. Chapman (2003) found paths leading to achievement were apparently much larger for self-efficacy (.55) than self-concept (-.05), suggesting--erroneously, as…
Descriptors: Self Efficacy, Structural Equation Models, Academic Achievement, Self Concept
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Marti, C. Nathan – Research in Higher Education, 2008
Latent trajectories of credit hour accumulation were modeled using three independent samples of community college students. Five qualitatively distinct patterns of persistence emerged from these samples: Full-time, long-term; 2 years and out; long-term decliners; part-time, long-term; and one term and out. Follow-up analyses using measures on the…
Descriptors: Higher Education, Academic Persistence, College Outcomes Assessment, Structural Equation Models
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McGhee, Marla W.; Lew, Chulsub – Educational Administration Quarterly, 2007
Purpose: This study explored the perceptions of teachers regarding principal support for and understanding of effective writing instruction and whether certain areas of knowledge influence principals' actions and interventions. Research Design: Researchers surveyed teacher participants using the Principal's Support for Writing Instrument and also…
Descriptors: Instructional Leadership, Writing Instruction, Principals, Knowledge Level
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Tsai, Tien-Lung; Shau, Wen-Yi; Hu, Fu-Chang – Structural Equation Modeling: A Multidisciplinary Journal, 2006
This article generalizes linear path analysis (PA) and simultaneous equations models (SiEM) to deal with mixed responses of different types in a recursive or triangular system. An efficient instrumental variable (IV) method for estimating the structural coefficients of a 2-equation partially recursive generalized path analysis (GPA) model and…
Descriptors: Structural Equation Models, Path Analysis, Simulation, Equations (Mathematics)
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Games, Paul A. – Journal of Experimental Education, 1990
The logical flaw of using the methods of path analysis and structural equation modeling to make causative conclusions is demonstrated. A proper evaluation of the role of investigation versus experimentation is cited in the work of W. G. Cochran as explicated by D. R. Rubin (1983). (TJH)
Descriptors: Causal Models, Correlation, Experiments, Methods Research
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Ashby, Jeffrey S.; Rice, Kenneth G. – Journal of Counseling & Development, 2002
The researchers in this study examined the association between adaptive and maladaptive dimensions of perfectionism and self-esteem. Confirmatory factor analysis and structural equations modeling were used to develop and test a model derived from theoretical links between perfectionism and self-esteem. Path models revealed that adaptive…
Descriptors: Personality Traits, Correlation, Path Analysis, Factor Analysis
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Coffman, Donna L.; MacCallum, Robert C. – Multivariate Behavioral Research, 2005
The biasing effects of measurement error in path analysis models can be overcome by the use of latent variable models. In cases where path analysis is used in practice, it is often possible to use parcels as indicators of a latent variable. The purpose of the current study was to compare latent variable models in which parcels were used as…
Descriptors: Measurement, Error of Measurement, Path Analysis, Structural Equation Models
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Kail, Robert; Hall, Lynda K. – Developmental Psychology, 1994
Examined whether age-related change in naming time reflects automatic access of familiar names because of greater familiarity with the named objects or global change in speed of processing. The path analyses and structural-equation modeling of 8- to 13-year olds were consistent with the second explanation. Time and age were linked to reading…
Descriptors: Age Differences, Cognitive Processes, Path Analysis, Performance Factors
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Lounsbury, John W.; Park, Soo-Hee; Sundstrom, Eric; Williamson, Jeanine M.; Pemberton, Anne E. – Journal of Career Assessment, 2004
A conceptual model proposing paths from personality traits to career satisfaction and life satisfaction and from career satisfaction to life satisfaction was evaluated in a field study by structural equations modeling using LISREL 8. Participants were a convenience sample of 1,352 information science professionals. An exploratory maximum…
Descriptors: Personality Traits, Information Science, Factor Analysis, Life Satisfaction
Borman, Kathryn; Boydston, Theodore; Kang, Ellen; Katzenmeyer, William G.; Kersiant, Gladis; Lee, Reginald; Mehta, Nikhil; Moriarty, Karen O. – 2002
This paper describes the data sources and method used in conducting a 3-year evaluation of the Urban Systemic Initiative (USI) of the National Science Foundation in four cities. The paper also provides a discussion of two approaches to analyzing the evaluation results: structural equation modeling (SEM) and a complementary analysis of the…
Descriptors: Educational Improvement, Elementary Secondary Education, Mathematics Achievement, Path Analysis
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Kim, Jungmeen; Cicchetti, Dante – Journal of Abnormal Child Psychology, 2004
This study examined the concurrent and longitudinal relations of mother-child relationship quality, self-esteem, social competence, and maladjustment among maltreated (n = 206) and nonmaltreated (n = 139) school-aged children from low-income families. Results of the path analysis using structural equation modeling revealed that maltreatment at…
Descriptors: Adjustment (to Environment), Interpersonal Competence, Structural Equation Models, Path Analysis
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Gray, Kenneth; And Others – Journal of Vocational Education Research, 1996
Includes "The Family: Ultimate Arbiter of Workforce Education Reform" (Gray); "Reaction to Way and Rossman's Family Contributions to Adolescent Readiness for School-to-Work Transition" (Stewart); "Using Structural Equation Modeling and Path Analysis for Advancing Conceptual and Theoretical Positions" (Rojewski); and "Response to Stewart, Gray and…
Descriptors: Academic Aspiration, Education Work Relationship, Family Characteristics, Family Environment
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