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Peer reviewedCollins, Linda M.; And Others – Multivariate Behavioral Research, 1986
The present study compares the performance of phi coefficients and tetrachorics along two dimensions of factor recovery in binary data. These dimensions are (1) accuracy of nontrivial factor identifications; and (2) factor structure recovery given a priori knowledge of the correct number of factors to rotate. (Author/LMO)
Descriptors: Computer Software, Factor Analysis, Factor Structure, Item Analysis
Peer reviewedCrooker, Richard A.; Sherman, Douglas J. – Journal of Geography, 1986
Describes how a combination of mapping and techniques can be used as a basis for measuring and analyzing student locational awareness of California. The case study analysis reveals that there was considerable variation in students' accuracy and precision in locating places. Includes tables and maps. (TRS)
Descriptors: Cartography, Educational Testing, Geography, Geography Instruction
Peer reviewedTsutakawa, Robert K.; Lin, Hsin Ying – Psychometrika, 1986
Item response curves for a set of binary responses are studied from a Bayesian viewpoint of estimating the item parameters. For the two-parameter logistic model with normally distributed ability, restricted bivariate beta priors are used to illustrate the computation of the posterior mode via the EM algorithm. (Author/LMO)
Descriptors: Algorithms, Bayesian Statistics, Estimation (Mathematics), Latent Trait Theory
Peer reviewedBowden, Roger J. – Psychometrika, 1986
The author shows that correlation studies can be affected by self-selection bias when questionnaire response is poor, contrary to the common supposition that only loss of degrees of freedom or precision result. Tests are suggested for the ensuing self-selection bias. (Author/LMO)
Descriptors: Analysis of Variance, Correlation, Maximum Likelihood Statistics, Questionnaires
Peer reviewedFrisbie, David A.; Druva, Cynthia A. – Journal of Educational Measurement, 1986
This study was designed to examine the level of dependence within multiple true-false test-item clusters by computing sets of item correlations with data from a test composed of both multiple true-false and multiple-choice items. (Author/LMO)
Descriptors: Cluster Analysis, Correlation, Higher Education, Multiple Choice Tests
Peer reviewedThompson, Bruce; Borrello, Gloria M. – Educational and Psychological Measurement, 1985
Multiple regression analysis is frequently being employed in experimental and non-experimental research. However, when data include predictor variables that are correlated, some regression results can become difficult to interpret. This paper presents a study to provide a demonstration that structure coefficients may be useful in these cases.…
Descriptors: Correlation, Multiple Regression Analysis, Multivariate Analysis, Predictor Variables
Peer reviewedHinkle, Dennis E.; And Others – Educational and Psychological Measurement, 1985
The authors previously discussed the importance of effect size and Type II errors as factors in determining sample size. Tables were developed and presented for one-factor designs with k levels. As these tables could not be used for the one sample case, comparable tables were developed and are presented. (Author/DWH)
Descriptors: Comparative Analysis, Effect Size, Research Methodology, Sample Size
Peer reviewedReeves, Adam; Sperling, George – Psychological Review, 1986
An experiment is conducted showing that an attention shift to a stream of numerals presented in rapid serial visual presentation mode produces not a total loss, but a systematic distortion of order. An attention gating model (AGM) is developed from a more general attention model. (Author/LMO)
Descriptors: Adults, Attention, Feedback, Higher Education
Peer reviewedOrwin, Robert G. – Journal of Educational Statistics, 1983
Rosenthan's (1979) concept of fail-safe N has thus far been applied to probability levels exclusively. This note introduces a fail-safe N for effect size. (Author)
Descriptors: Effect Size, Meta Analysis, Research Design, Research Problems
Peer reviewedSchmitt, Neal – Personnel Psychology, 1976
A review of conclusions of previous studies indicates that the employment interview lacks reliability and validity. Authors suggests that "...research should be directed toward identification of the variables which are best and most consistently evaluated by the employment interview," and offers suggestions for the practicing personnel…
Descriptors: Employer Attitudes, Employment Interviews, Employment Practices, Personnel Directors
Barringer, Mary S. – 1995
Researchers are becoming increasingly aware of the advantages of using multiple regression as opposed to analysis of variance (ANOVA) or analysis of covariance (ANCOVA). Multiple regression is more versatile and does not force the researcher to throw away variance by categorizing intervally scaled data. Polynomial regression analysis offers the…
Descriptors: Analysis of Variance, Educational Research, Elementary Secondary Education, Regression (Statistics)
Toombs, William – Journal of College Placement, 1973
The State of Pennsylvania, in an effort to determine how education relates to jobs, undertook a study of what happens to its graduates. The author analyzes the findings and draws some conclusions. (Author)
Descriptors: Career Planning, College Graduates, Employment Patterns, Higher Education
Peer reviewedBrewer, James K. – American Educational Research Journal, 1972
Purpose of this paper is to report the level of power for recent statistical tests reported in the AERJ and to propose alternative reporting schemes relative to hypothesis testing to include power and effect size. (Author)
Descriptors: Hypothesis Testing, Mathematical Applications, Power (Statistics), Research Reviews (Publications)
Peer reviewedHollenbeck, George P. – Educational and Psychological Measurement, 1972
The Little Jiffy" consists of principal components analysis and varimax rotation of all components with eigenvalues greater than one. (DG)
Descriptors: Cognitive Development, Comparative Analysis, Factor Analysis, Factor Structure
Peer reviewedWoolley, Thomas W. – Journal of Medical Education, 1983
Analysis of 230 major articles in the "Journal of Medical Education" shows 91 percent of those reporting medical education research had less than a 50-50 chance of detecting a small treatment effect. Similar low statistical power was found in other disciplines. Guidelines for reporting research are provided. (MSE)
Descriptors: Educational Research, Higher Education, Medical Education, Research Design


