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Yunxiao Chen; Xiaoou Li; Jingchen Liu; Gongjun Xu; Zhiliang Ying – Grantee Submission, 2017
Large-scale assessments are supported by a large item pool. An important task in test development is to assign items into scales that measure different characteristics of individuals, and a popular approach is cluster analysis of items. Classical methods in cluster analysis, such as the hierarchical clustering, K-means method, and latent-class…
Descriptors: Item Analysis, Classification, Graphs, Test Items
Beauducel, Andre – Applied Psychological Measurement, 2013
The problem of factor score indeterminacy implies that the factor and the error scores cannot be completely disentangled in the factor model. It is therefore proposed to compute Harman's factor score predictor that contains an additive combination of factor and error variance. This additive combination is discussed in the framework of classical…
Descriptors: Factor Analysis, Predictor Variables, Reliability, Error of Measurement

Zumbo, Bruno D.; Pope, Gregory A.; Watson, Jackie E.; Hubley, Anita M. – Educational and Psychological Measurement, 1997
E. Roskam's (1985) conjecture that steeper item characteristic curve (ICC) "a" parameters (slopes) (and higher item total correlations in classical test theory) would be found with more concretely worded test items was tested with results from 925 young adults on the Eysenck Personality Questionnaire (H. Eysenck and S. Eysenck, 1975).…
Descriptors: Correlation, Personality Assessment, Personality Measures, Test Interpretation

Zuckerman, Marvin – American Psychologist, 1990
Discusses the difficulties of defining races and establishing statistical differences between such groups. Points out that studies of such aspects as temperament or basic personality traits show much more variation within groups than between groups. Investigators of such questions should be especially careful to use sound methodology and cautious…
Descriptors: Personality Measures, Race, Racial Bias, Racial Differences

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
Browne, Beverly A.; Musser, Lynn M. – 1988
The primary purpose of this study was to assess the test-retest reliability of the Junior Self-Monitoring Scale (JSMS) for use with elementary school children. Subjects were 28 first, 30 third, and 24 fifth graders attending an elementary school in Corvallis (Oregon). The JSMS consists of 24 yes/no items and is scored in the direction of high…
Descriptors: Child Psychology, Elementary Education, Elementary School Students, Grade 1