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Chakrabartty, Satyendra Nath – International Journal of Psychology and Educational Studies, 2021
The paper proposes new measures of difficulty and discriminating values of binary items and test consisting of such items and find their relationships including estimation of test error variance and thereby the test reliability, as per definition using cosine similarities. The measures use entire data. Difficulty value of test and item is defined…
Descriptors: Test Items, Difficulty Level, Scores, Test Reliability
Cho, Sun-Joo; Preacher, Kristopher J. – Educational and Psychological Measurement, 2016
Multilevel modeling (MLM) is frequently used to detect cluster-level group differences in cluster randomized trial and observational studies. Group differences on the outcomes (posttest scores) are detected by controlling for the covariate (pretest scores) as a proxy variable for unobserved factors that predict future attributes. The pretest and…
Descriptors: Error of Measurement, Error Correction, Multivariate Analysis, Hierarchical Linear Modeling
Engelhard, George, Jr.; Wind, Stefanie A. – College Board, 2013
The major purpose of this study is to examine the quality of ratings assigned to CR (constructed-response) questions in large-scale assessments from the perspective of Rasch Measurement Theory. Rasch Measurement Theory provides a framework for the examination of rating scale category structure that can yield useful information for interpreting the…
Descriptors: Measurement Techniques, Rating Scales, Test Theory, Scores
Bandalos, Deborah L.; Kopp, Jason P. – Educational Measurement: Issues and Practice, 2012
In this article, we discuss the importance of measurement literacy and some issues encountered in teaching introductory measurement courses. We present results from a survey of introductory measurement instructors, including information about the topics included in such courses and the amount of time spent on each. Topics that were included by the…
Descriptors: Class Activities, Motivation Techniques, Item Analysis, Test Theory
Hubley, Anita M.; Zumbo, Bruno D. – Social Indicators Research, 2011
The vast majority of measures have, at their core, a purpose of personal and social change. If test developers and users want measures to have personal and social consequences and impact, then it is critical to consider the consequences and side effects of measurement in the validation process itself. The consequential basis of test interpretation…
Descriptors: Construct Validity, Social Change, Measurement, Test Interpretation
Buchmann, Claudia; Condron, Dennis J.; Roscigno, Vincent J. – Social Forces, 2010
The authors welcome and appreciate the comments of Eric Grodsky and Sigal Alon on their article "Shadow Education, American Style: Test Preparation, the SAT and College Enrollment." In their comments, Grodsky takes issue with several important theoretical and methodological aspects of their article and Alon highlights key processes…
Descriptors: Race, Educational Mobility, Test Preparation, College Entrance Examinations
Grodsky, Eric – Social Forces, 2010
Buchmann, Condron and Roscigno argue in their article, "Shadow Education, American Style: Test Preparation, the SAT and College Enrollment," that the activities in which students engage to prepare for college entrance exams are forms of shadow education, a means by which more advantaged parents seek to pass their privileged status along…
Descriptors: Enrollment, Criticism, Research Problems, Test Preparation
Biswas, Ajoy Kumar – Applied Psychological Measurement, 2006
This article studies the ordinal reliability of (total) test scores. This study is based on a classical-type linear model of observed score (X), true score (T), and random error (E). Based on the idea of Kendall's tau-a coefficient, a measure of ordinal reliability for small-examinee populations is developed. This measure is extended to large…
Descriptors: True Scores, Test Theory, Test Reliability, Scores

Collins, Linda M. – Applied Psychological Measurement, 1996
The clarification provided by Williams and Zimmerman on the reliability of gain scores is translated into recognizable patterns of change that tend to produce reliable or unreliable gain scores. The relevance of the traditional idea of reliability to the measurement of change is also discussed. (SLD)
Descriptors: Achievement Gains, Change, Measurement Techniques, Reliability
Dawson, Thomas E. – 1997
The basic processes in univariate statistics involve partitioning the sum of squares into two components: explained and within. This paper explains that the same partitioning occurs in measurement analyses, i.e., splitting the sum of squares into reliable and unreliable components. In addition, it is shown how the three types of error inherent in…
Descriptors: Estimation (Mathematics), Measurement Techniques, Scores, Statistical Analysis
Hwang, Dae-Yeop – 2002
This study compared classical test theory (CTT) and item response theory (IRT). The behavior of the item and person statistics derived from these two measurement frameworks was examined analytically and empirically using a data set obtained from BILOG (R. Mislay and D. Block, 1997). The example was a 15-item test with a sample size of 600…
Descriptors: Comparative Analysis, Measurement Techniques, Scores, Statistical Distributions
Reeve, Charlie L.; Lam, Holly – Intelligence, 2005
The simple practice effects commonly observed when retaking general cognitive ability tests present a potential paradox. If observed score changes reflect real changes in g, we must revisit our understanding of its stability. Conversely, if observed score changes reflect something other than a true change in the underlying latent construct, this…
Descriptors: Psychometrics, Cognitive Ability, Cognitive Measurement, Test Theory

Spencer, Bruce D. – Journal of Educational Measurement, 1983
Because test scores are ordinal not cordinal attributes, the average test score often is a misleading way to summarize the scores of a group of individuals. Similarly, correlation coefficients may be misleading summary measures of association between test scores. Proper, readily interpretable, summary statistics are developed from a theory of…
Descriptors: Correlation, Measurement Techniques, Scores, Statistical Analysis

Humphreys, Lloyd G. – Applied Psychological Measurement, 1996
The reliability of a gain is determined by the reliabilities of the components, the correlation between them, and their standard deviations. Reliability is not inherently low, but the components of gains in many investigations make low reliability likely and require caution in the use of gain scores. (SLD)
Descriptors: Achievement Gains, Change, Correlation, Error of Measurement

Williams, Richard H.; Zimmerman, Donald W. – Applied Psychological Measurement, 1996
The critiques by L. Collins and L. Humphreys in this issue illustrate problems with the use of gain scores. Collins' examples show that familiar formulas for the reliability of differences do not reflect the precision of measures of change. Additional examples demonstrate flaws in the conventional approach to reliability. (SLD)
Descriptors: Achievement Gains, Change, Correlation, Error of Measurement
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