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Ulrich Schroeders; Florian Scharf; Gabriel Olaru – Educational and Psychological Measurement, 2024
Metaheuristics are optimization algorithms that efficiently solve a variety of complex combinatorial problems. In psychological research, metaheuristics have been applied in short-scale construction and model specification search. In the present study, we propose a bee swarm optimization (BSO) algorithm to explore the structure underlying a…
Descriptors: Structural Equation Models, Heuristics, Algorithms, Measurement Techniques
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Weese, James D.; Turner, Ronna C.; Ames, Allison; Crawford, Brandon; Liang, Xinya – Educational and Psychological Measurement, 2022
A simulation study was conducted to investigate the heuristics of the SIBTEST procedure and how it compares with ETS classification guidelines used with the Mantel-Haenszel procedure. Prior heuristics have been used for nearly 25 years, but they are based on a simulation study that was restricted due to computer limitations and that modeled item…
Descriptors: Test Bias, Heuristics, Classification, Statistical Analysis
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Zopluoglu, Cengiz – Educational and Psychological Measurement, 2020
A mixture extension of Samejima's continuous response model for continuous measurement outcomes and its estimation through a heuristic approach based on limited-information factor analysis is introduced. Using an empirical data set, it is shown that two groups of respondents that differ both qualitatively and quantitatively in their response…
Descriptors: Item Response Theory, Measurement, Models, Heuristics
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Raborn, Anthony W.; Leite, Walter L.; Marcoulides, Katerina M. – Educational and Psychological Measurement, 2020
This study compares automated methods to develop short forms of psychometric scales. Obtaining a short form that has both adequate internal structure and strong validity with respect to relationships with other variables is difficult with traditional methods of short-form development. Metaheuristic algorithms can select items for short forms while…
Descriptors: Test Construction, Automation, Heuristics, Mathematics
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Born, Sebastian; Frey, Andreas – Educational and Psychological Measurement, 2017
Although multidimensional adaptive testing (MAT) has been proven to be highly advantageous with regard to measurement efficiency when several highly correlated dimensions are measured, there are few operational assessments that use MAT. This may be due to issues of constraint management, which is more complex in MAT than it is in unidimensional…
Descriptors: Adaptive Testing, Heuristics, Correlation, Computer Assisted Testing
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Miller, Jeff – Educational and Psychological Measurement, 2017
Critics of null hypothesis significance testing suggest that (a) its basic logic is invalid and (b) it addresses a question that is of no interest. In contrast to (a), I argue that the underlying logic of hypothesis testing is actually extremely straightforward and compelling. To substantiate that, I present examples showing that hypothesis…
Descriptors: Hypothesis Testing, Testing Problems, Test Validity, Relevance (Education)
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Moyer, Eric L.; Galindo, Jennifer L.; Dodd, Barbara G. – Educational and Psychological Measurement, 2012
Managing test specifications--both multiple nonstatistical constraints and flexibly defined constraints--has become an important part of designing item selection procedures for computerized adaptive tests (CATs) in achievement testing. This study compared the effectiveness of three procedures: constrained CAT, flexible modified constrained CAT,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Item Analysis
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Fan, Xitao – Educational and Psychological Measurement, 2003
Uses a few heuristic examples to show how bootstrap analysis can be accomplished using some commonly available software programs. Until bootstrap analysis becomes an automated program option in standard statistical software, quantitative researchers may have to make do with these. (SLD)
Descriptors: Computer Software, Heuristics, Measurement Techniques
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Umesh, U. N.; And Others – Educational and Psychological Measurement, 1989
An approach is provided for calculating maximum values of the Kappa statistic of J. Cohen (1960) as a function of observed agreement proportions between evaluators. Separate calculations are required for different matrix sizes and observed agreement levels. (SLD)
Descriptors: Equations (Mathematics), Evaluators, Heuristics, Interrater Reliability
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Graham, James M. – Educational and Psychological Measurement, 2006
Coefficient alpha, the most commonly used estimate of internal consistency, is often considered a lower bound estimate of reliability, though the extent of its underestimation is not typically known. Many researchers are unaware that coefficient alpha is based on the essentially tau-equivalent measurement model. It is the violation of the…
Descriptors: Models, Test Theory, Reliability, Structural Equation Models
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Thompson, Bruce; Borrello, Gloria M. – Educational and Psychological Measurement, 1992
The utility of combining confirmatory factor analysis and second-order methods is illustrated in a study of responses of 487 undergraduate and graduate students to the love instrument of C. Hendrick and S. Hendrick. Second-order confirmatory methods allow the researcher to explore complex realities more thoroughly. (SLD)
Descriptors: Affective Measures, College Students, Error of Measurement, Heuristics