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Olvera Astivia, Oscar Lorenzo; Kroc, Edward; Zumbo, Bruno D. – Educational and Psychological Measurement, 2020
Simulations concerning the distributional assumptions of coefficient alpha are contradictory. To provide a more principled theoretical framework, this article relies on the Fréchet-Hoeffding bounds, in order to showcase that the distribution of the items play a role on the estimation of correlations and covariances. More specifically, these bounds…
Descriptors: Test Items, Test Reliability, Computation, Correlation
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Olvera Astivia, Oscar L.; Zumbo, Bruno D. – Measurement: Interdisciplinary Research and Perspectives, 2019
Methods to generate random correlation matrices have been proposed in the literature, but very few instances exist where these correlation matrices are structured or where the statistical properties of the algorithms are known. By relying on the tetrad relation discovered by Spearman and the properties of the beta distribution, an algorithm is…
Descriptors: Correlation, Psychometrics, Benchmarking, Evaluation Methods
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Zumbo, Bruno D.; Kroc, Edward – Educational and Psychological Measurement, 2019
Chalmers recently published a critique of the use of ordinal a[alpha] proposed in Zumbo et al. as a measure of test reliability in certain research settings. In this response, we take up the task of refuting Chalmers' critique. We identify three broad misconceptions that characterize Chalmers' criticisms: (1) confusing assumptions with…
Descriptors: Test Reliability, Statistical Analysis, Misconceptions, Mathematical Models
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Zumbo, Bruno D.; Hubley, Anita M. – Assessment in Education: Principles, Policy & Practice, 2016
Ultimately, measures in research, testing, assessment and evaluation are used, or have implications, for ranking, intervention, feedback, decision-making or policy purposes. Explicit recognition of this fact brings the often-ignored and sometimes maligned concept of consequences to the fore. Given that measures have personal and social…
Descriptors: Testing Programs, Testing Problems, Measurement Techniques, Student Evaluation
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Balboni, Giulia; Perrucci, Vittore; Cacciamani, Stefano; Zumbo, Bruno D. – Distance Education, 2018
Creating a sense of community in online classes contributes to student retention and to their overall satisfaction with the course itself. This study aimed to develop a scale of sense of community of students attending online university courses. A series of ordinal exploratory factor analyses were conducted on data obtained from 839 students…
Descriptors: Likert Scales, Test Construction, Sense of Community, Online Courses
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Thomas, D. Roland; Zumbo, Bruno D. – Educational and Psychological Measurement, 2012
There is such doubt in research practice about the reliability of difference scores that granting agencies, journal editors, reviewers, and committees of graduate students' theses have been known to deplore their use. This most maligned index can be used in studies of change, growth, or perhaps discrepancy between two measures taken on the same…
Descriptors: Statistical Analysis, Reliability, Scores, Change
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Gadermann, Anne M.; Guhn, Martin; Zumbo, Bruno D. – Practical Assessment, Research & Evaluation, 2012
This paper provides a conceptual, empirical, and practical guide for estimating ordinal reliability coefficients for ordinal item response data (also referred to as Likert, Likert-type, ordered categorical, or rating scale item responses). Conventionally, reliability coefficients, such as Cronbach's alpha, are calculated using a Pearson…
Descriptors: Likert Scales, Rating Scales, Reliability, Computation
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Shear, Benjamin R.; Zumbo, Bruno D. – Educational and Psychological Measurement, 2013
Type I error rates in multiple regression, and hence the chance for false positive research findings, can be drastically inflated when multiple regression models are used to analyze data that contain random measurement error. This article shows the potential for inflated Type I error rates in commonly encountered scenarios and provides new…
Descriptors: Error of Measurement, Multiple Regression Analysis, Data Analysis, Computer Simulation
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Liu, Yan; Wu, Amery D.; Zumbo, Bruno D. – Educational and Psychological Measurement, 2010
In a recent Monte Carlo simulation study, Liu and Zumbo showed that outliers can severely inflate the estimates of Cronbach's coefficient alpha for continuous item response data--visual analogue response format. Little, however, is known about the effect of outliers for ordinal item response data--also commonly referred to as Likert, Likert-type,…
Descriptors: Reliability, Computation, Monte Carlo Methods, Rating Scales
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Oliveri, Maria Elena; Olson, Brent F.; Ercikan, Kadriye; Zumbo, Bruno D. – International Journal of Testing, 2012
In this study, the Canadian English and French versions of the Problem-Solving Measure of the Programme for International Student Assessment 2003 were examined to investigate their degree of measurement comparability at the item- and test-levels. Three methods of differential item functioning (DIF) were compared: parametric and nonparametric item…
Descriptors: Foreign Students, Test Bias, Speech Communication, Effect Size
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McIntosh, Kent; Campbell, Amy L.; Carter, Deborah Russell; Zumbo, Bruno D. – Behavioral Disorders, 2009
Office discipline referrals (ODRs) are commonly used by school teams implementing schoolwide positive behavior support to indicate individual student need for additional behavior support. However, little is known about the technical adequacy of ODRs when used in this manner. In this study, the authors assessed (a) the concurrent validity of number…
Descriptors: Student Needs, Behavior Problems, Discipline, Validity
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Liu, Yan; Zumbo, Bruno D. – Educational and Psychological Measurement, 2007
The impact of outliers on Cronbach's coefficient [alpha] has not been documented in the psychometric or statistical literature. This is an important gap because coefficient [alpha] is the most widely used measurement statistic in all of the social, educational, and health sciences. The impact of outliers on coefficient [alpha] is investigated for…
Descriptors: Psychometrics, Computation, Reliability, Monte Carlo Methods
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Zimmerman, Donald W.; Zumbo, Bruno D. – International Journal of Testing, 2001
Presents a model of tests and measurement that identifies test scores with Hilbert space vectors and true and error components of scores with linear operators. This geometric point of view brings to light relations among elementary concepts in test theory, including reliability, validity, and parallel tests. (Author/SLD)
Descriptors: Models, Probability, Reliability, Scores
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James, Susan; Slocum, Suzanne L.; Zumbo, Bruno D. – International Journal of Testing, 2004
Agonias is an idiom of distress for Portuguese community members. Although this phenomenon was recently introduced in the mental health literature, a measure for it was not available. The Agonias Scale was introduced in this article and the psychometric properties are reported. The scale was found to have strong psychometric properties of…
Descriptors: Measures (Individuals), Immigrants, Females, Psychometrics
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Zumbo, Bruno D.; And Others – Journal of Experimental Education, 1992
An error in an essential equation within the article by Williams and Zimmerman is corrected, and the algebraic inequalities are translated into questions a researcher can ask about simple or residualized difference scores. Williams and Zimmerman acknowledge the error and note that main conclusions are not affected. (SLD)
Descriptors: Algebra, Comparative Analysis, Equations (Mathematics), Mathematical Models