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Goretzko, David; Heumann, Christian; Bühner, Markus – Educational and Psychological Measurement, 2020
Exploratory factor analysis is a statistical method commonly used in psychological research to investigate latent variables and to develop questionnaires. Although such self-report questionnaires are prone to missing values, there is not much literature on this topic with regard to exploratory factor analysis--and especially the process of factor…
Descriptors: Factor Analysis, Data Analysis, Research Methodology, Psychological Studies
Köhler, Carmen; Pohl, Steffi; Carstensen, Claus H. – Educational and Psychological Measurement, 2015
When competence tests are administered, subjects frequently omit items. These missing responses pose a threat to correctly estimating the proficiency level. Newer model-based approaches aim to take nonignorable missing data processes into account by incorporating a latent missing propensity into the measurement model. Two assumptions are typically…
Descriptors: Competence, Tests, Evaluation Methods, Adults
Cho, Sun-Joo; Li, Feiming; Bandalos, Deborah – Educational and Psychological Measurement, 2009
The purpose of this study was to investigate the application of the parallel analysis (PA) method for choosing the number of factors in component analysis for situations in which data are dichotomous or ordinal. Although polychoric correlations are sometimes used as input for component analyses, the random data matrices generated for use in PA…
Descriptors: Correlation, Evaluation Methods, Data Analysis, Matrices
Peer reviewedWhitney, Douglas R.; Feldt, Leonard S. – Educational and Psychological Measurement, 1973
Descriptors: Data Analysis, Hypothesis Testing, Mathematical Applications, Measurement Techniques
Peer reviewedElshout, Jan J.; Roe, Robert A. – Educational and Psychological Measurement, 1973
Paper covers the first part of a study that is concerned with the inferential accuracy of the formulas that have been developed to correct'' several sample statistics for the effects of restriction of range. (Authors)
Descriptors: Mathematical Applications, Measurement Techniques, Sampling, Statistical Analysis
Peer reviewedArnold, J. C.; Briley, T. S. – Educational and Psychological Measurement, 1973
In this paper, a test based on rank sums is considered specifically for problems where there is a priori indication that the experimental condition may cause extreme reactions in both directions. (Authors)
Descriptors: Mathematical Applications, Measurement Techniques, Nonparametric Statistics, Statistical Analysis
Peer reviewedHakstian, A. Ralph – Educational and Psychological Measurement, 1973
Descriptors: Mathematical Models, Measurement Techniques, Orthogonal Rotation, Tables (Data)
Peer reviewedMcQuitty, Louis L. – Educational and Psychological Measurement, 1971
Descriptors: Classification, Cluster Analysis, Comparative Analysis, Data Analysis
Peer reviewedSkinner, Harvey A. – Educational and Psychological Measurement, 1978
The concepts of elevation, scatter, and shape are investigated as parameters in assessing the similarity among profiles of individuals. A computational strategy for differentiating the independent contribution of each parameter to more global indices of resemblance is presented. (Author/JKS)
Descriptors: Data Analysis, Error of Measurement, Mathematical Models, Measurement Techniques
Peer reviewedBart, William M.; Krus, David J. – Educational and Psychological Measurement, 1973
With the ordering-theoretic method of item hierarchy construction any array of bivalued item data can be analyzed to determine the item hierarchy structure. (Authors)
Descriptors: Item Analysis, Mathematical Models, Measurement Techniques, Organization
Peer reviewedAndrews, Frank M.; Pelz, Donald C. – Educational and Psychological Measurement, 1973
Ford's procedure is likely to be useful whenever one wants to achieve a single rank order by combining data obtained from multiple judges'' who have placed objects'' into ordered categories. (Authors)
Descriptors: Computer Programs, Mathematical Applications, Measurement Techniques, Research Methodology
Peer reviewedWhittington, Dale – Educational and Psychological Measurement, 1998
This study describes how much and in what ways authors of research studies fail to include adequate information about data collection. Results based on analysis of 220 articles from 22 journals show that the quality of measurement reporting continues to be a problem. (SLD)
Descriptors: Data Collection, Educational Research, Measurement Techniques, Research Methodology
Peer reviewedStewart, Thomas R. – Educational and Psychological Measurement, 1973
Paper presents an example of the use of the linear model for attitude measurement emphasizing the validation of the regression weights by comparing them with traditional and more direct measures of attitude. (Author)
Descriptors: Attitude Measures, Mathematical Models, Measurement Techniques, Multiple Regression Analysis
Peer reviewedSockloff, Alan L.; And Others – Educational and Psychological Measurement, 1973
The prediction of academic achievement within a single university was improved by adjusting predictions on the basis of a multiplicative weight which measures the relative mean success of former graduates from each of the various feeder high schools. (Authors)
Descriptors: Academic Achievement, College Students, High Schools, Institutional Characteristics
Peer reviewedGilpin, Andrew R. – Educational and Psychological Measurement, 1993
Kendall's Tau is often considered equivalent to Spearman's Rho as an ordinal measure of correlation in spite of its different metric. Formulas for converting Tau to Rho are reviewed; and a table of corresponding values is presented for Tau, Rho, and several related indices. (SLD)
Descriptors: Correlation, Effect Size, Equations (Mathematics), Estimation (Mathematics)
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