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Menglin Xu; Jessica A. R. Logan – Educational and Psychological Measurement, 2024
Research designs that include planned missing data are gaining popularity in applied education research. These methods have traditionally relied on introducing missingness into data collections using the missing completely at random (MCAR) mechanism. This study assesses whether planned missingness can also be implemented when data are instead…
Descriptors: Research Design, Research Methodology, Monte Carlo Methods, Statistical Analysis
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
Campitelli, Guillermo; Macbeth, Guillermo; Ospina, Raydonal; Marmolejo-Ramos, Fernando – Educational and Psychological Measurement, 2017
We present three strategies to replace the null hypothesis statistical significance testing approach in psychological research: (1) visual representation of cognitive processes and predictions, (2) visual representation of data distributions and choice of the appropriate distribution for analysis, and (3) model comparison. The three strategies…
Descriptors: Research Methodology, Hypothesis Testing, Psychology, Social Science Research
Bishara, Anthony J.; Hittner, James B. – Educational and Psychological Measurement, 2015
It is more common for educational and psychological data to be nonnormal than to be approximately normal. This tendency may lead to bias and error in point estimates of the Pearson correlation coefficient. In a series of Monte Carlo simulations, the Pearson correlation was examined under conditions of normal and nonnormal data, and it was compared…
Descriptors: Research Methodology, Monte Carlo Methods, Correlation, Simulation
Liu, Yan; Zumbo, Bruno D. – Educational and Psychological Measurement, 2012
There is a lack of research on the effects of outliers on the decisions about the number of factors to retain in an exploratory factor analysis, especially for outliers arising from unintended and unknowingly included subpopulations. The purpose of the present research was to investigate how outliers from an unintended and unknowingly included…
Descriptors: Factor Analysis, Factor Structure, Evaluation Research, Evaluation Methods
Skidmore, Susan Troncoso; Thompson, Bruce – Educational and Psychological Measurement, 2010
The purpose of the present study is to provide a historical account and metasynthesis of which statistical techniques are most frequently used in the fields of education and psychology. Six articles reviewing the "American Educational Research Journal" from 1969 to 1997 and five articles reviewing the psychological literature from 1948 to 2001…
Descriptors: Educational Research, Meta Analysis, Synthesis, Statistical Studies

Cohen, Jacob – Educational and Psychological Measurement, 1972
Descriptors: Research Design, Research Methodology, Statistical Analysis, Statistical Studies

Holling, Heinz – Educational and Psychological Measurement, 1983
Recent theoretical analyses of the concept of suppression are identified and discussed. A generalized definition of suppression is presented and the conditions for suppressor structures in the context of the General Linear Model are derived. (Author)
Descriptors: Mathematical Models, Multiple Regression Analysis, Research Methodology, Statistical Analysis

Locascio, Joseph J. – Educational and Psychological Measurement, 1982
A short description of cross-lagged correlation technique (CLC) in its most common form, a sketch of recent major criticisms of CLC as a test for causality, and a moderate appraisal of CLC as an exploratory technique are offered. (Author/PN)
Descriptors: Correlation, Measurement Techniques, Path Analysis, Research Methodology

Creager, John A. – Educational and Psychological Measurement, 1971
Descriptors: Analysis of Variance, Computer Programs, Factor Analysis, Research Methodology

Strahan, Robert F. – Educational and Psychological Measurement, 1982
While Spearman's rho and Kendall's tau are equally powerful rank-order correlation coefficients under conditions of normality, they have different metrics. Applied to the same data, tau is smaller in absolute value, often no more than two-thirds of the size of rho. This difference in correlational metric appears to need emphasis. (Author/CM)
Descriptors: Correlation, Evaluation Methods, Experimental Psychology, Hypothesis Testing

Keating, Daniel P. – Educational and Psychological Measurement, 1975
Descriptors: Children, Exceptional Child Education, Gifted, Research Methodology

Humphreys, Lloyd G.; Taber, Thomas – Educational and Psychological Measurement, 1973
Descriptors: Comparative Analysis, Factor Analysis, Mathematical Applications, Measurement Techniques

Andrews, 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

McQuitty, Louis L. – Educational and Psychological Measurement, 1971
Descriptors: Classification, Cluster Analysis, Criteria, Data Analysis