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Wu, Tong; Kim, Stella Y.; Westine, Carl – Educational and Psychological Measurement, 2023
For large-scale assessments, data are often collected with missing responses. Despite the wide use of item response theory (IRT) in many testing programs, however, the existing literature offers little insight into the effectiveness of various approaches to handling missing responses in the context of scale linking. Scale linking is commonly used…
Descriptors: Data Analysis, Responses, Statistical Analysis, Measurement
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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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van Dijk, Wilhelmina; Schatschneider, Christopher; Al Otaiba, Stephanie; Hart, Sara A. – Educational and Psychological Measurement, 2022
Complex research questions often need large samples to obtain accurate estimates of parameters and adequate power. Combining extant data sets into a large, pooled data set is one way this can be accomplished without expending resources. Measurement invariance (MI) modeling is an established approach to ensure participant scores are on the same…
Descriptors: Sample Size, Data Analysis, Goodness of Fit, Measurement
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Mansolf, Maxwell; Vreeker, Annabel; Reise, Steven P.; Freimer, Nelson B.; Glahn, David C.; Gur, Raquel E.; Moore, Tyler M.; Pato, Carlos N.; Pato, Michele T.; Palotie, Aarno; Holm, Minna; Suvisaari, Jaana; Partonen, Timo; Kieseppä, Tuula; Paunio, Tiina; Boks, Marco; Kahn, René; Ophoff, Roel A.; Bearden, Carrie E.; Loohuis, Loes Olde; Teshiba, Terri; deGeorge, Daniella; Bilder, Robert M. – Educational and Psychological Measurement, 2020
Large-scale studies spanning diverse project sites, populations, languages, and measurements are increasingly important to relate psychological to biological variables. National and international consortia already are collecting and executing mega-analyses on aggregated data from individuals, with different measures on each person. In this…
Descriptors: Item Response Theory, Data Analysis, Measurement, Validity
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Schweizer, Karl; Troche, Stefan – Educational and Psychological Measurement, 2018
In confirmatory factor analysis quite similar models of measurement serve the detection of the difficulty factor and the factor due to the item-position effect. The item-position effect refers to the increasing dependency among the responses to successively presented items of a test whereas the difficulty factor is ascribed to the wide range of…
Descriptors: Investigations, Difficulty Level, Factor Analysis, Models
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Wind, Stefanie A.; Engelhard, George, Jr. – Educational and Psychological Measurement, 2016
Mokken scale analysis is a probabilistic nonparametric approach that offers statistical and graphical tools for evaluating the quality of social science measurement without placing potentially inappropriate restrictions on the structure of a data set. In particular, Mokken scaling provides a useful method for evaluating important measurement…
Descriptors: Nonparametric Statistics, Statistical Analysis, Measurement, Psychometrics
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Bolt, Daniel M.; Newton, Joseph R. – Educational and Psychological Measurement, 2011
This article extends a methodological approach considered by Bolt and Johnson for the measurement and control of extreme response style (ERS) to the analysis of rating data from multiple scales. Specifically, it is shown how the simultaneous analysis of item responses across scales allows for more accurate identification of ERS, and more effective…
Descriptors: Response Style (Tests), Measurement, Item Response Theory, Accuracy
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Hardin, Andrew M.; Chang, Jerry Cha-Jan; Fuller, Mark A.; Torkzadeh, Gholamreza – Educational and Psychological Measurement, 2011
The use of causal indicators to formatively measure latent constructs appears to be on the rise, despite what appears to be a troubling lack of consistency in their application. Scholars in any discipline are responsible not only for advancing theoretical knowledge in their domain of study but also for addressing methodological issues that…
Descriptors: Structural Equation Models, Measurement, Statistical Data, Meta Analysis
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Lewis, Mary A.; Boone, James O. – Educational and Psychological Measurement, 1979
Restriction in range is a measurement problem frequently encountered in research studies that utilize correlation coefficients. A FORTRAN program is described that can compute the estimated unrestricted correlation coefficient in either the explicit or implicit case. The user selects the appropriate formula to be employed from five that are…
Descriptors: Computer Programs, Correlation, Data Analysis, Measurement
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Bean, Andrew G.; Covert, Robert W. – Educational and Psychological Measurement, 1973
Purpose of this study was to discriminate among college persisters, withdrawals, and academic dismissals through using measures of scholastic aptitude and personality. (Authors)
Descriptors: Academic Aptitude, College Students, Discriminant Analysis, Dropouts
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Holly, Keith A.; And Others – Educational and Psychological Measurement, 1973
Descriptors: Cognitive Ability, Data Analysis, Grade 7, Mathematics
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Thames, John A.; And Others – Educational and Psychological Measurement, 1973
Descriptors: Academic Achievement, Academic Aptitude, Attitude Measures, Females
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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