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García-González, Juan Manuel; Fernández-Muñoz, Juan José; Vergara-Moragues, Esperanza; García-Moreno, Luis Miguel – Electronic Journal of Research in Educational Psychology, 2021
Introduction: This article has two objectives: a) to examine the factorial structure of the Spanish version of the EPQR-A through an exploratory factor analysis and b) to perform a confirmatory factor analysis to determine the psychometric properties of the Spanish version of the EPQR-A in terms of construct validity in an adult academic…
Descriptors: Psychometrics, Extraversion Introversion, Neurosis, Personality Measures

Sipps, Gary J.; Alexander, Ralph A. – Educational and Psychological Measurement, 1987
The construct validity of extraversion-introversion was explored, as measured by the Myers Briggs Type Indicator (MBTI) and the Eysenck Personality Inventory. Findings supported the complexity of extraversion-introversion. Two MBTI scales, Extraversion Introversion and Judging Perceiving, were factorially valid measures of impulsivity…
Descriptors: Construct Validity, Factor Structure, Higher Education, Personality Measures

Comrey, Andrew L.; And Others – Multivariate Behavioral Research, 1988
Three methods were used to test the factor structure of the Eysenck Personality Inventory administered to 583 Australians. The preferred method was to extract factors by the minimum residual method, use the Tandem Criteria Method, and then rotate that number of factors by the Tandem Criteria I method. (SLD)
Descriptors: Adults, Factor Analysis, Factor Structure, Foreign Countries

Helmes, Edward – Multivariate Behavioral Research, 1989
Objective criteria for evaluating the Eysenck Personality Inventory's internal structure are discussed. An approach based on targeted rotations and the test's scoring key is proposed as a means of providing common criteria. Data from earlier structure and test results for 195 undergraduates support the utility of 3 criteria developed. (SLD)
Descriptors: Comparative Analysis, Evaluation Criteria, Evaluation Methods, Factor Structure