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Marcoulides, George A.; Emrich, Christin; Marcoulides, Laura D. – Educational and Psychological Measurement, 2008
The Computer Anxiety Scale (CAS) measures the perceptions of individuals with respect to their anxiety toward computers. Although the CAS was developed a number of years ago, research has shown that its factor structure has remained stable. Recent cross-cultural studies using samples of college students from various countries have also shown that…
Descriptors: College Students, Structural Equation Models, Computer Attitudes, Factor Structure
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Sigfusdottir, Inga Dora; Asgeirsdottir, Bryndis Bjork; Gudjonsson, Gisli H.; Sigurdsson, Jon Fridrik – Journal of Youth and Adolescence, 2008
Drawing on Agnew's general strain theory, we examined whether depressed mood and anger mediated the effects of sexual abuse on suicidal behavior and delinquency. Participants included 9,113 students attending high schools in Iceland. Structural equation modeling showed that, while controlling for family structure and parental education, being…
Descriptors: Sexual Abuse, Delinquency, Structural Equation Models, Suicide
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Yu, Jeong Jin; Gamble, Wendy C. – Journal of Youth and Adolescence, 2008
Multi-group confirmatory factor analysis and multi-group structural equation modeling were used to test correlates of overt and relational aggression between young adolescent siblings across four groups (i.e., male/male, male/female, female/male, and female/female sibling pairs), using 433 predominately European American families. Similar patterns…
Descriptors: Siblings, Aggression, Structural Equation Models, Early Adolescents
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Nelson, J. Ron; Benner, Gregory J.; Neill, Stern; Stage, Scott A. – Journal of Emotional and Behavioral Disorders, 2006
There is growing interest in understanding the factors that influence the academic achievement of students with emotional disturbance (ED). Structural equation modeling was used to test the interrelationships among language skills, externalizing behavior, and academic fluency and their impact on the academic skills of students with ED. Results…
Descriptors: Language Skills, Emotional Disturbances, Structural Equation Models, Academic Achievement
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Davis-Kean, Pamela E.; Sexton, Holly R. – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2009
Using data from a national multiethnic, longitudinal study of children, this study examined the process of how parents' educational attainment is related to children's achievement through the beliefs and behaviors of parents and how this influence varies by race/ethnicity. Measures of socioeconomic status, parental expectations for educational…
Descriptors: Ethnicity, Structural Equation Models, Educational Attainment, Achievement Need
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Stoeckli, Georg – Journal of Educational Research, 2009
The author investigated the role of individual characteristics (self-esteem, social anxiety, and self-reported classroom participation) and peer reactions (peer-perceived shyness, peer nominations) in classroom loneliness in a sample of 704 preadolescent boys (360) and girls (344). It was hypothesized that classroom participation functions as a…
Descriptors: Individual Characteristics, Structural Equation Models, Anxiety, Social Influences
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Strang, Kenneth David – International Journal of Educational Research, 2009
Online higher education professors may find their teaching approaches conflict with the learning preferences of their globally dispersed students, which can impede academic performance. In this empirical study of 254 international doctorate students (across 23 cultures), a model was developed to assess how learning expectations affected…
Descriptors: Electronic Learning, Higher Education, Cognitive Style, Mentors
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Moon, Sung Seek; Lee, Joohi – Early Education and Development, 2009
Research Findings: A structural equation model (SEM) and multiple indicators and multiple causes (MIMIC) model were used to test family factors, parent psychological well-being, parent-child home activity, and parent school involvement in relation to children's school achievement. Data for this study were drawn from the Early Childhood…
Descriptors: Family Income, Family Involvement, Academic Achievement, Family Structure
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Godbout, Natacha; Sabourin, Stephane; Lussier, Yvan – Journal of Interpersonal Violence, 2009
This study compared the usefulness of single- and multiple-indicator strategies in a model examining the role of child sexual abuse (CSA) to predict later marital satisfaction through attachment and psychological distress. The sample included 1,092 women and men from a nonclinical population in cohabiting or marital relationships. The single-item…
Descriptors: Sexual Abuse, Child Abuse, Marital Satisfaction, Structural Equation Models
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Brooks-Gunn, Jeanne; Han, Wen-Jui; Waldfogel, Jane – Monographs of the Society for Research in Child Development, 2010
Using data from the first 2 phases of the NICHD Study of Early Child Care, the authors examine the links between maternal employment in the first 12 months of life and cognitive, social, and emotional outcomes for children at age 3, at age 4.5, and in first grade. Drawing on theory and prior research from developmental psychology as well as…
Descriptors: Behavior Problems, Mothers, Structural Equation Models, Child Behavior
Thompson, Bruce; Melancon, Janet G. – 1996
This study investigated the benefits of creating item "testlets" or "parcels" in the context of structural equation modeling confirmatory factor analysis (CFA). Testlets are defined as groups of items related to a single content area that is developed as a unit. The strategy is illustrated using data from the administration of…
Descriptors: Statistical Distributions, Structural Equation Models, Test Construction
Stapleton, Laura M.; Hancock, Gregory R. – 2000
This paper illustrates the differences in inference that can be seen when traditional and multilevel structural equation modeling techniques are applied to hierarchical data. Research on faculty is an area in which multilevel data exist, and where previous research generally has not modeled the nested structure. Using data from the National Study…
Descriptors: College Faculty, Higher Education, Structural Equation Models
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Hamaker, Ellen L.; Dolan, Conor V.; Molenaar, Peter C. M. – Structural Equation Modeling, 2003
Demonstrated, through simulation, that stationary autoregressive moving average (ARMA) models may be fitted readily when T>N, using normal theory raw maximum likelihood structural equation modeling. Also provides some illustrations based on real data. (SLD)
Descriptors: Maximum Likelihood Statistics, Simulation, Structural Equation Models
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Enders, Craig K. – Multivariate Behavioral Research, 2002
Proposed a method for extending the Bollen-Stine bootstrap model (K. Bollen and R. Stine, 1992) fit to structural equation models with missing data. Developed a Statistical Analysis System macro program to implement this procedure, and assessed its usefulness in a simulation. The new method yielded model rejection rates close to the nominal 5%…
Descriptors: Goodness of Fit, Simulation, Structural Equation Models
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MacIntosh, Randall – Educational and Psychological Measurement, 1997
Presents KANT, a FORTRAN 77 software program that tests assumptions of multivariate normality in a data set. Based on the test developed by M. V. Mardia (1985), the KANT program is useful for those engaged in structural equation modeling with latent variables. (SLD)
Descriptors: Computer Software, Data Analysis, Structural Equation Models
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