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Paek, Insu – Educational and Psychological Measurement, 2016
The effect of guessing on the point estimate of coefficient alpha has been studied in the literature, but the impact of guessing and its interactions with other test characteristics on the interval estimators for coefficient alpha has not been fully investigated. This study examined the impact of guessing and its interactions with other test…
Descriptors: Guessing (Tests), Computation, Statistical Analysis, Test Length
Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2015
A latent variable modeling approach for scale reliability evaluation in heterogeneous populations is discussed. The method can be used for point and interval estimation of reliability of multicomponent measuring instruments in populations representing mixtures of an unknown number of latent classes or subpopulations. The procedure is helpful also…
Descriptors: Test Reliability, Evaluation Methods, Measurement Techniques, Computation

Forsyth, Robert A. – Educational and Psychological Measurement, 1976
Shoemaker's conclusions related to the influence of various data base characteristics (reliability, variability of item difficulty indices, and degree of skewness in the normative distribution) on the standard error of a mean estimated via multiple matrix sampling procedures are examined. (Author/RC)
Descriptors: Item Sampling, Statistical Analysis, Test Reliability

Kaiser, Henry F.; Michael, William B. – Educational and Psychological Measurement, 1975
An alternative derivation of Tryon's basic formula for the coefficient of domain validity or the coefficient of generalizability developed by Cronbach, Rajaratnam, and Glaser is provided. This derivation, which is also the generalized Kuder-Richardson coefficient, requires a relatively minimal number of assumptions compared with that in previously…
Descriptors: Matrices, Sampling, Statistical Analysis, Test Reliability

Raju, Nambury S. – Educational and Psychological Measurement, 1977
A rederivation of Lord's formula for estimating variance in multiple matrix sampling is presented as well as the ways Cronbach's coefficient alpha and the Spearman-Brown prophecy formula are related in this context. (Author/JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Item Sampling, Mathematical Models

Poggio, John P.; Glasnapp, Douglas R. – Educational and Psychological Measurement, 1973
Descriptors: Academic Achievement, Evaluation Methods, Formative Evaluation, Item Sampling

Shoemaker, David M. – Educational and Psychological Measurement, 1972
Descriptors: Difficulty Level, Error of Measurement, Item Sampling, Simulation

Cizek, Gregory J.; Robinson, K. Lynne; O'Day, Denis M. – Educational and Psychological Measurement, 1998
The effect of removing nonfunctioning items from multiple-choice tests was studied by examining change in difficulty, discrimination, and dimensionality. Results provide additional support for the benefits of eliminating nonfunctioning options, such as enhanced score reliability, reduced testing time, potential for broader domain sampling, and…
Descriptors: Difficulty Level, Multiple Choice Tests, Sampling, Scores

Fiske, Donald W.; Barack, Leonard I. – Educational and Psychological Measurement, 1976
The diversity among interpretations of single items in personality questionnaires has been noted previously. Using adjectives from the Adjective Check List (ACL), the study sought evidence bearing on these questions: Does such diversity make the responses to an item not comparable across subjects? If so, what are the implications for scores based…
Descriptors: Adjectives, Check Lists, Individual Differences, Item Analysis

Andrich, David; Kline, Paul – Educational and Psychological Measurement, 1981
The Rasch simple logistic model is used to examine the relative item parameter values of a personality inventory with respect to populations cross-classified by sex and country. While items conform to the model within each of the populations, half the items show significant discrepancies among the populations. (Author/RL)
Descriptors: Cultural Differences, Foreign Countries, Goodness of Fit, Higher Education