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Aleamoni, Lawrence M. – Educational and Psychological Measurement, 1971
Descriptors: Computer Programs, Data Analysis, Feedback, Questionnaires

Morgan, Arlene H.; Hilgard, Ernest R. – Educational and Psychological Measurement, 1972
The use of the kinesthetic aftereffect as a descriptive personality variable is strongly discouraged by the results of the present study. (Authors)
Descriptors: Data Analysis, Figural Aftereffects, Individual Characteristics, Individual Differences
Munroe, Arnold; Pearson, Carolyn – Educational and Psychological Measurement, 2006
Institutions of higher education want to diversify their learning climates, and many offer courses in multiculturalism, yet these courses still do not meet the needs of attitudinal change. A new instrument was developed, the Munroe Multicultural Attitude Scale Questionnaire (MASQUE), that was theoretically based in Banks's transformative approach,…
Descriptors: Higher Education, Colleges, Data Analysis, Test Reliability

Aiken, Lewis R. – Educational and Psychological Measurement, 1985
Three numerical coefficients for analyzing the validity and reliability of ratings are described. Each coefficient is computed as the ratio of an obtained to a maximum sum of differences in ratings. The coefficients are also applicable to the item analysis, agreement analysis, and cluster or factor analysis of rating-scale data. (Author/BW)
Descriptors: Computer Software, Data Analysis, Factor Analysis, Item Analysis

Werts, C. E.; And Others – Educational and Psychological Measurement, 1976
A procedure is presented for the analysis of rating data with correlated intrajudge and uncorrelated interjudge measurement errors. Correlations between true scores on different rating dimensions, reliabilities for each judge on each dimension and correlations between intrajudge errors can be estimated given a minimum of three raters and two…
Descriptors: Correlation, Data Analysis, Error of Measurement, Error Patterns
Enders, Craig K. – Educational and Psychological Measurement, 2004
A method for incorporating maximum likelihood (ML) estimation into reliability analyses with item-level missing data is outlined. An ML estimate of the covariance matrix is first obtained using the expectation maximization (EM) algorithm, and coefficient alpha is subsequently computed using standard formulae. A simulation study demonstrated that…
Descriptors: Intervals, Simulation, Test Reliability, Computation
Maximum Likelihood Estimation of Factor Structures of Anxiety Measures: A Multiple Group Comparison.

Newton, Rae R. – Educational and Psychological Measurement, 1984
This paper examines the construct generality of five self-report measures of anxiety across male and female samples, and illustrates the use of confirmatory maximum likelihood techniques for examining factorial invariance. (Author/BW)
Descriptors: Affective Measures, Analysis of Covariance, Anxiety, Data Analysis