Higher Order Factor Structure of a Self-control Test: Evidence from Confirmatory Factor Analysis with Polychoric Correlations

Name: Higher Order Factor Structure of a Self-control Test: Evidence from Confirmatory Factor Analysis with Polychoric Correlations
ISBN: 9781446286104

W. PaulVogt; R. BurkeJohnson

doi:10.4135/9781446286104

Major Works

Higher Order Factor Structure of a Self-control Test: Evidence from Confirmatory Factor Analysis with Polychoric Correlations

Edited by:W. Paul Vogt & R. Burke Johnson
Publisher: SAGE Publications Ltd
Series: SAGE Benchmarks in Social Research Methods
- Publication year: 2012
- Online pub date: February 05, 2015
Discipline: Regression & Correlation
DOI: https://doi.org/10.4135/9781446286104
Keywords:
attitudes, confirmatory factor analysis, correlation, counseling psychology, effect size, evaluation, exploratory factor analysis, factor analysis, five-factor model of personality, hypothesis testing, latent variables, logistic regression, measurement, mediation, missing data, multilevel modeling, multiple regression, personality, regression, regression analysis, research design, sample size, scaling, simulations, social work, sociology, structural equation modeling, structural equation modelling, structural models, testing
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Online ISBN: 9781446286104

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Studied the higher order factor structure of a self-control test developed by H. Grasmick and others (1993). Results for 1,966 eighth and ninth graders show that the self-control test may provide more valid measurement of the constructs it was designed to measure than previous research suggested.

Full text

‘Higher Order Factor Structure of a Self-control Test: Evidence from Confirmatory Factor Analysis with Polychoric Correlations’, and DavidB.Flora, EliJ.Finkel and VangieA.FosheeEducational and Psychological Measurement, 63 (1) (2003): 112–127. Published by SAGE Publications, Inc. Reprinted with permission.

Chronology of Higher Order Factor Structure of a Self-control Test: Evidence from Confirmatory Factor Analysis with Polychoric Correlations

Volume I
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  - 8. A Regression Paradox for Linear Models: Sufficient Conditions and Relation to Simpson's Paradox
    
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  - 9. Sample Sizes When Using Multiple Linear Regression for Prediction
    
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    2007
    Educational and Psychological Measurement
  - 11. History and Use of Relative Importance Indices in Organizational Research
    
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    Vincent Guilamo-Ramos, Margaret Johansson and Alida Bouris Journal of Clinical Child & Adolescent Psychology
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    Sociological Methods & Research
  - 18. Sparse Partial Least Squares Regression for On-Line Variable Selection with Multivariate Data Streams
    
    Brian McWilliams | Giovanni Montana
    2010
    Statistical Analysis and Data Mining
Volume II
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- Inherently Nonlinear Models – Log-Linear Models and Probit and Logistic Regression
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  - 19. Confronting Sociological Theory with Data: Regression Analysis, Goodman's Log-Linear Models and Comparative Research
    
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  - 20. Suppression and Confounding in Action
    
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  - 21. Explained Variance in Logistic Regression: A Monte Carlo Study of Proposed Measures
    
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  - 22. Coefficients of Determination in Logistic Regression Models – a New Proposal: The Coefficient of Discrimination
    
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  - 23. A Graphical Method for Assessing the Fit of a Logistic Regression Model
    
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  - 24. Determining the Relative Importance of Predictors in Logistic Regression: An Extension of Relative Weight Analysis
    
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  - 25. Loss of Power in Logistic, Ordinal Logistic, and Probit Regression When an Outcome Variable Is Coarsely Categorized
    
    Aaron Taylor | Stephen West | Leona Aiken
    2006
    Educational and Psychological Measurement
  - 26. Using Heterogeneous Choice Models to Compare Logit and Probit Coefficients across Groups
    
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    Sociological Methods & Research
  - 27. Large-scale Regression-based Pattern Discovery: The Example of Screening the WHO Global Drug Safety Database
    
    Ola Caster | G. Niklas | M. Norén | David Madigan | Andrew Bate
    2010
    Statistical Analysis and Data Mining
  - 28. Modeling Local Nonlinear Correlations Using Subspace Principal Curves
    
    Chandan Reddy | Mohammad Aziz
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  - 29. A Primer for Social Worker Researchers on How to Conduct a Multinomial Logistic Regression
    
    Carrie Petrucci
    2009
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  - 30. The Effect of Childhood Maltreatment on Adult Criminality: A Tobit Regression Analysis
    
    Andrew Grogan-Kaylor | Melanie Otis
    2003
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  - 32. Broadening the Scope of Regression Analysis
    
    Robert Bickel
    2007
    Multilevel Analysis for Applied Research: It's Just Regression
  - 33. Multilevel Modeling: Overview and Applications to Research in Counseling Psychology
    
    Jeffrey Kahn
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  - 34. Acceptance of Other Religions in the United States: An HLM Analysis of Variability across Congregations
    
    Buster Smith
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  - 35. Multilevel Modeling of Social Segregation
    
    George Leckie | Rebecca Pillinger | Kelvyn Jones | Harvey Goldstein4
    2012
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  - 36. A New Approach for Estimating a Nonlinear Growth Component in Multilevel Modeling
    
    Asko Tolvanen | Noona Kiuru | Esko Leskinen | Kai Hakkarainen | Mikko Inkinen | Kirsti Lonka | Katariina Salmela-Aro
    2011
    International Journal of Behavioral Development
  - 37. Addressing Data Sparseness in Contextual Population Research: Using Cluster Analysis to Create Synthetic Neighborhoods
    
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  - 38. Effect Sizes in Three-level Cluster-Randomized Experiments
    
    Larry Hedges
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Volume III
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- Exploratory and Confirmatory Factor Analysis and Latent Class Modeling
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  - 39. Multiple Factor Analysis
    
    L. Thurstone
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  - 40. Use of Exploratory Factor Analysis in Published Research: Common Errors and Some Comment on Improved Practice
    
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  - 45. Reporting Practices in Confirmatory Factor Analysis: An Overview and Some Recommendations
    
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  - 68. Moderation and Mediation in Structural Equation Modeling: Applications for Early Intervention Research
    
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    2007
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    Randall Schumacker
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    Structural Equation Modeling
  - 70. Parenting Efficacy and the Early School Adjustment of Poor and Near-Poor Black Children
    
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  - 71. Neighborhood Social Disorganization, Families, and the Educational Behavior of Adolescents
    
    Natasha Bowen | Gary Bowen | William Ware
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  - 72. Intervention Effects on College Performance and Retention as Mediated by Motivational, Emotional, and Social Control Factors: Integrated Meta-Analytic Path Analyses
    
    Steven Robbins | In-Sue Oh | Huy Le | Christopher Button
    2009
    Journal of Applied Psychology

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Higher Order Factor Structure of a Self-control Test: Evidence from Confirmatory Factor Analysis with Polychoric Correlations

Key Reading

All Readings

Entry

Table of Contents

Volume I

Regression and Its Correlational Foundations and Concomitants

Linear Regression Designs and Model Building

Volume II

Inherently Nonlinear Models – Log-Linear Models and Probit and Logistic Regression

Multi-Level Regression Modeling (MLM)

Volume III

Exploratory and Confirmatory Factor Analysis and Latent Class Modeling

Volume IV

Structural Equation Modeling (SEM)

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Higher Order Factor Structure of a Self-control Test: Evidence from Confirmatory Factor Analysis with Polychoric Correlations

Key Reading

All Readings

Entry

Table of Contents

Volume I

Regression and Its Correlational Foundations and Concomitants

Linear Regression Designs and Model Building

Volume II

Inherently Nonlinear Models – Log-Linear Models and Probit and Logistic Regression

Multi-Level Regression Modeling (MLM)

Volume III

Exploratory and Confirmatory Factor Analysis and Latent Class Modeling

Volume IV

Structural Equation Modeling (SEM)

Sign in to access this content

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