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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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LaVoie, Noelle; Parker, James; Legree, Peter J.; Ardison, Sharon; Kilcullen, Robert N. – Educational and Psychological Measurement, 2020
Automated scoring based on Latent Semantic Analysis (LSA) has been successfully used to score essays and constrained short answer responses. Scoring tests that capture open-ended, short answer responses poses some challenges for machine learning approaches. We used LSA techniques to score short answer responses to the Consequences Test, a measure…
Descriptors: Semantics, Evaluators, Essays, Scoring
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Raykov, Tenko; Al-Qataee, Abdullah A.; Dimitrov, Dimiter M. – Educational and Psychological Measurement, 2020
A procedure for evaluation of validity related coefficients and their differences is discussed, which is applicable when one or more frequently used assumptions in empirical educational, behavioral and social research are violated. The method is developed within the framework of the latent variable modeling methodology and accomplishes point and…
Descriptors: Validity, Evaluation Methods, Social Science Research, Correlation
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Ferrando, Pere Joan; Lorenzo-Seva, Urbano – Educational and Psychological Measurement, 2019
Many psychometric measures yield data that are compatible with (a) an essentially unidimensional factor analysis solution and (b) a correlated-factor solution. Deciding which of these structures is the most appropriate and useful is of considerable importance, and various procedures have been proposed to help in this decision. The only fully…
Descriptors: Validity, Models, Correlation, Factor Analysis
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Nájera, Pablo; Sorrel, Miguel A.; Abad, Francisco José – Educational and Psychological Measurement, 2019
Cognitive diagnosis models (CDMs) are latent class multidimensional statistical models that help classify people accurately by using a set of discrete latent variables, commonly referred to as attributes. These models require a Q-matrix that indicates the attributes involved in each item. A potential problem is that the Q-matrix construction…
Descriptors: Matrices, Statistical Analysis, Models, Classification
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Jia, Yuane; Konold, Timothy R.; Cornell, Dewey; Huang, Francis – Educational and Psychological Measurement, 2018
Self-report surveys are widely used to measure adolescent risk behavior and academic adjustment, with results having an impact on national policy, assessment of school quality, and evaluation of school interventions. However, data obtained from self-reports can be distorted when adolescents intentionally provide inaccurate or careless responses.…
Descriptors: Surveys, Self Disclosure (Individuals), Adolescents, High School Students
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Ing, Marsha – Educational and Psychological Measurement, 2018
In instructional sensitivity research, it is important to evaluate the validity argument about the extent to which student performance on the assessment can be used to infer differences in instructional experiences. This study examines whether three different measures of mathematics instruction consistently identify mathematics assessments as…
Descriptors: Validity, Educational Research, Mathematics Instruction, Mathematics Tests
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Raykov, Tenko; Marcoulides, George A.; Li, Tenglong – Educational and Psychological Measurement, 2017
The measurement error in principal components extracted from a set of fallible measures is discussed and evaluated. It is shown that as long as one or more measures in a given set of observed variables contains error of measurement, so also does any principal component obtained from the set. The error variance in any principal component is shown…
Descriptors: Error of Measurement, Factor Analysis, Research Methodology, Psychometrics
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Plieninger, Hansjörg – Educational and Psychological Measurement, 2017
Even though there is an increasing interest in response styles, the field lacks a systematic investigation of the bias that response styles potentially cause. Therefore, a simulation was carried out to study this phenomenon with a focus on applied settings (reliability, validity, scale scores). The influence of acquiescence and extreme response…
Descriptors: Response Style (Tests), Test Bias, Item Response Theory, Correlation
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Park, Ryoungsun; Kim, Jiseon; Chung, Hyewon; Dodd, Barbara G. – Educational and Psychological Measurement, 2017
The current study proposes novel methods to predict multistage testing (MST) performance without conducting simulations. This method, called MST test information, is based on analytic derivation of standard errors of ability estimates across theta levels. We compared standard errors derived analytically to the simulation results to demonstrate the…
Descriptors: Testing, Performance, Prediction, Error of Measurement
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Walker, Cindy M.; Gocer Sahin, Sakine – Educational and Psychological Measurement, 2017
The theoretical reason for the presence of differential item functioning (DIF) is that data are multidimensional and two groups of examinees differ in their underlying ability distribution for the secondary dimension(s). Therefore, the purpose of this study was to determine how much the secondary ability distributions must differ before DIF is…
Descriptors: Item Response Theory, Test Bias, Correlation, Statistical Significance
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Kam, Chester Chun Seng – Educational and Psychological Measurement, 2016
To measure the response style of acquiescence, researchers recommend the use of at least 15 items with heterogeneous content. Such an approach is consistent with its theoretical definition and is a substantial improvement over traditional methods. Nevertheless, measurement of acquiescence can be enhanced by two additional considerations: first, to…
Descriptors: Test Items, Response Style (Tests), Test Content, Measurement
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Raykov, Tenko; Marcoulides, George A.; Li, Tenglong – Educational and Psychological Measurement, 2016
A method for evaluating the validity of multicomponent measurement instruments in heterogeneous populations is discussed. The procedure can be used for point and interval estimation of criterion validity of linear composites in populations representing mixtures of an unknown number of latent classes. The approach permits also the evaluation of…
Descriptors: Validity, Measures (Individuals), Classification, Evaluation Methods
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Raykov, Tenko; Marcoulides, George A.; Patelis, Thanos – Educational and Psychological Measurement, 2015
A critical discussion of the assumption of uncorrelated errors in classical psychometric theory and its applications is provided. It is pointed out that this assumption is essential for a number of fundamental results and underlies the concept of parallel tests, the Spearman-Brown's prophecy and the correction for attenuation formulas as well as…
Descriptors: Psychometrics, Correlation, Validity, Reliability
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Kam, Chester Chun Seng; Zhou, Mingming – Educational and Psychological Measurement, 2015
Previous research has found the effects of acquiescence to be generally consistent across item "aggregates" within a single survey (i.e., essential tau-equivalence), but it is unknown whether this phenomenon is consistent at the" individual item" level. This article evaluated the often assumed but inadequately tested…
Descriptors: Test Items, Surveys, Criteria, Correlation
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