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Showing 1 to 15 of 428 results Save | Export
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Yang, Yanyun; Xia, Yan – Educational and Psychological Measurement, 2019
When item scores are ordered categorical, categorical omega can be computed based on the parameter estimates from a factor analysis model using frequentist estimators such as diagonally weighted least squares. When the sample size is relatively small and thresholds are different across items, using diagonally weighted least squares can yield a…
Descriptors: Scores, Sample Size, Bayesian Statistics, Item Analysis
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Jordan, Pascal; Spiess, Martin – Educational and Psychological Measurement, 2019
Factor loadings and item discrimination parameters play a key role in scale construction. A multitude of heuristics regarding their interpretation are hardwired into practice--for example, neglecting low loadings and assigning items to exactly one scale. We challenge the common sense interpretation of these parameters by providing counterexamples…
Descriptors: Test Construction, Test Items, Item Response Theory, Factor Structure
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Fujimoto, Ken A. – Educational and Psychological Measurement, 2019
Advancements in item response theory (IRT) have led to models for dual dependence, which control for cluster and method effects during a psychometric analysis. Currently, however, this class of models does not include one that controls for when the method effects stem from two method sources in which one source functions differently across the…
Descriptors: Bayesian Statistics, Item Response Theory, Psychometrics, Models
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Gonzalez, Oscar; MacKinnon, David P. – Educational and Psychological Measurement, 2018
Statistical mediation analysis allows researchers to identify the most important mediating constructs in the causal process studied. Identifying specific mediators is especially relevant when the hypothesized mediating construct consists of multiple related facets. The general definition of the construct and its facets might relate differently to…
Descriptors: Statistical Analysis, Monte Carlo Methods, Measurement, Models
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Raykov, Tenko; Goldammer, Philippe; Marcoulides, George A.; Li, Tatyana; Menold, Natalja – Educational and Psychological Measurement, 2018
A readily applicable procedure is discussed that allows evaluation of the discrepancy between the popular coefficient alpha and the reliability coefficient of a scale with second-order factorial structure that is frequently of relevance in empirical educational and psychological research. The approach is developed within the framework of the…
Descriptors: Test Reliability, Factor Structure, Statistical Analysis, Computation
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Zhang, Xijuan; Savalei, Victoria – Educational and Psychological Measurement, 2016
Many psychological scales written in the Likert format include reverse worded (RW) items in order to control acquiescence bias. However, studies have shown that RW items often contaminate the factor structure of the scale by creating one or more method factors. The present study examines an alternative scale format, called the Expanded format,…
Descriptors: Factor Structure, Psychological Testing, Alternative Assessment, Test Items
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Hayduk, Leslie – Educational and Psychological Measurement, 2014
Researchers using factor analysis tend to dismiss the significant ill fit of factor models by presuming that if their factor model is close-to-fitting, it is probably close to being properly causally specified. Close fit may indeed result from a model being close to properly causally specified, but close-fitting factor models can also be seriously…
Descriptors: Factor Analysis, Goodness of Fit, Factor Structure, Structural Equation Models
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Lee, HwaYoung; Beretvas, S. Natasha – Educational and Psychological Measurement, 2014
Conventional differential item functioning (DIF) detection methods (e.g., the Mantel-Haenszel test) can be used to detect DIF only across observed groups, such as gender or ethnicity. However, research has found that DIF is not typically fully explained by an observed variable. True sources of DIF may include unobserved, latent variables, such as…
Descriptors: Item Analysis, Factor Structure, Bayesian Statistics, Goodness of Fit
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Wiley, Edward W.; Shavelson, Richard J.; Kurpius, Amy A. – Educational and Psychological Measurement, 2014
The name "SAT" has become synonymous with college admissions testing; it has been dubbed "the gold standard." Numerous studies on its reliability and predictive validity show that the SAT predicts college performance beyond high school grade point average. Surprisingly, studies of the factorial structure of the current version…
Descriptors: College Readiness, College Admission, College Entrance Examinations, Factor Analysis
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Raykov, Tenko; Pohl, Steffi – Educational and Psychological Measurement, 2013
A procedure for examining essential unidimensionality in multicomponent measuring instruments is discussed. The method is based on an application of latent variable modeling and is concerned with the extent to which a common factor for all components of a given scale accounts for their correlations. The approach provides point and interval…
Descriptors: Measures (Individuals), Statistical Analysis, Factor Structure, Correlation
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Raykov, Tenko; Pohl, Steffi – Educational and Psychological Measurement, 2013
A method for examining common factor variance in multiple-component measuring instruments is outlined. The procedure is based on an application of the latent variable modeling methodology and is concerned with evaluating observed variance explained by a global factor and by one or more additional component-specific factors. The approach furnishes…
Descriptors: Statistical Analysis, Factor Structure, Scores, Models
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Segeritz, Micha; Pant, Hans Anand – Educational and Psychological Measurement, 2013
This article summarizes the key finding of a study that (a) tests the measurement invariance (MI) of the popular Students' Approaches to Learning instrument (Programme for International Student Assessment [PISA]) across ethnic/cultural groups within a country and (b) discusses implications for research focusing on the role of affective measures in…
Descriptors: Foreign Countries, Affective Measures, Immigrants, Ethnic Groups
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Liu, Yan; Zumbo, Bruno D. – Educational and Psychological Measurement, 2012
There is a lack of research on the effects of outliers on the decisions about the number of factors to retain in an exploratory factor analysis, especially for outliers arising from unintended and unknowingly included subpopulations. The purpose of the present research was to investigate how outliers from an unintended and unknowingly included…
Descriptors: Factor Analysis, Factor Structure, Evaluation Research, Evaluation Methods
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Prati, Gabriele – Educational and Psychological Measurement, 2012
The study aimed to develop the Homophobic Bullying Scale and to investigate its psychometric properties. The items of the Homophobic Bullying Scale were created to measure high school students' bullying behaviors motivated by homophobia, including verbal bullying, relational bullying, physical bullying, property bullying, sexual harassment, and…
Descriptors: Factor Analysis, Validity, Measures (Individuals), Bullying
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Lakin, Joni M.; Elliott, Diane Cardenas; Liu, Ou Lydia – Educational and Psychological Measurement, 2012
Outcomes assessments are gaining great attention in higher education because of increased demand for accountability. These assessments are widely used by U.S. higher education institutions to measure students' college-level knowledge and skills, including students who speak English as a second language (ESL). For the past decade, the increasing…
Descriptors: College Outcomes Assessment, Achievement Tests, English Language Learners, College Students
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