
Contents
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Sample Questions That Can Be Answered With Configural Frequency Analysis Sample Questions That Can Be Answered With Configural Frequency Analysis
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Technical Elements of Configural Frequency Analysis Technical Elements of Configural Frequency Analysis
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The Configural Frquency Analysis Base Model The Configural Frquency Analysis Base Model
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Global Configural Frequency Analysis Base Models Global Configural Frequency Analysis Base Models
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Regional Configural Frequency Analysis Base Models Regional Configural Frequency Analysis Base Models
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The Configural Frequency Analysis Null Hypothesis The Configural Frequency Analysis Null Hypothesis
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Significance Tests for CFA Significance Tests for CFA
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Protecting α Protecting α
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Sampling Schemes and Their Implications for the Specification of Configural Frequency Analysis Base Models Sampling Schemes and Their Implications for the Specification of Configural Frequency Analysis Base Models
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The Six Steps of Configural Frequency Analysis The Six Steps of Configural Frequency Analysis
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Selection of Frequentist or Bayesian Configural Frequency Analysis Selection of Frequentist or Bayesian Configural Frequency Analysis
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Selection of a Configural Frequency Analysis Base Model and Estimation of Expected cell Frequencies Selection of a Configural Frequency Analysis Base Model and Estimation of Expected cell Frequencies
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Selection of a Concept of Deviation From Independence Selection of a Concept of Deviation From Independence
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Selection of Significance Test Selection of Significance Test
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Performing Significance Tests and Identifying Configurations as Constituting Types or Antitypes Performing Significance Tests and Identifying Configurations as Constituting Types or Antitypes
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Interpretation of Types and Antitypes Interpretation of Types and Antitypes
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Sample Models and Applications of Configural Frequency Analysis Sample Models and Applications of Configural Frequency Analysis
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Prediction Configural Frequency Analysis and 2-Group CFA Prediction Configural Frequency Analysis and 2-Group CFA
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Prediction Configural Frequency Analysis Prediction Configural Frequency Analysis
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Two-Group CFA Two-Group CFA
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Models for Longitudinal CFA Models for Longitudinal CFA
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Predicting Endpoints of Development Predicting Endpoints of Development
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Relating Series of Measures to Each Other Relating Series of Measures to Each Other
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Mediatior Configural Frequency Analysis Mediatior Configural Frequency Analysis
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Phase I: Four Base Models for Configural Mediation Analysis Phase I: Four Base Models for Configural Mediation Analysis
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Phase II: Decisions Concerning The Type of Mediation Phase II: Decisions Concerning The Type of Mediation
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Future Directions Future Directions
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Author Note Author Note
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Notes Notes
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References References
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5 Configural Frequency Analysis
Get accessAlexander von Eye, Departments of Psychology, Michigan State University, East Lansing, MI and University of Vienna, Austria
Eun-Young Mun, Center of Alcohol Studies, Rutgers University, Piscataway, NJ
Patrick Mair, Institute for Statistics and Mathematics, Vienna University of Economics and Business, Vienna, Austria
Stefan von Weber, Department of Mechanical Engineering, Hochschule Furtwangen University, Furtwangen im Schwarzwald, Germany
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Published:01 October 2013
Cite
Abstract
Statistical data analysis routinely expresses results in terms of main effects and interactions at the level of variables. The implicit assumption of this routine is that the observed relationships are valid across the entire range of admissible scores. In contrast, applications of configural frequency analysis (CFA) proceed from the assumption that main effects and interactions reflect local relationships among variables. In other words, effects can be identified for some categories of variables but not for others. In this chapter, an introduction to CFA is provided in three sections. The first section covers sample questions that can be answered with CFA. These questions illustrate the range of CFA application, and they show that CFA focuses on local effects. The second section presents technical elements of CFA, including the CFA base model, the CFA null hypothesis, significance tests used in CFA, and methods of α protection.The third section provides sample base models of CFA and data applications. The sample base models cover Prediction CFA, two-Group CFA, CFA methods for the predictions of endpoints and for the analysis of the relationships between series of measures, and CFA methods for the analysis of mediator hypotheses.
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