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Showing 151 to 165 of 3,768 results Save | Export
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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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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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Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2018
This article outlines a procedure for examining the degree to which a common factor may be dominating additional factors in a multicomponent measuring instrument consisting of binary items. The procedure rests on an application of the latent variable modeling methodology and accounts for the discrete nature of the manifest indicators. The method…
Descriptors: Measurement Techniques, Factor Analysis, Item Response Theory, Likert Scales
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Olivera-Aguilar, Margarita; Rikoon, Samuel H.; Gonzalez, Oscar; Kisbu-Sakarya, Yasemin; MacKinnon, David P. – Educational and Psychological Measurement, 2018
When testing a statistical mediation model, it is assumed that factorial measurement invariance holds for the mediating construct across levels of the independent variable X. The consequences of failing to address the violations of measurement invariance in mediation models are largely unknown. The purpose of the present study was to…
Descriptors: Error of Measurement, Statistical Analysis, Factor Analysis, Simulation
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Liu, Ren; Huggins-Manley, Anne Corinne; Bulut, Okan – Educational and Psychological Measurement, 2018
Developing a diagnostic tool within the diagnostic measurement framework is the optimal approach to obtain multidimensional and classification-based feedback on examinees. However, end users may seek to obtain diagnostic feedback from existing item responses to assessments that have been designed under either the classical test theory or item…
Descriptors: Models, Item Response Theory, Psychometrics, Test Construction
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Lamprianou, Iasonas – Educational and Psychological Measurement, 2018
It is common practice for assessment programs to organize qualifying sessions during which the raters (often known as "markers" or "judges") demonstrate their consistency before operational rating commences. Because of the high-stakes nature of many rating activities, the research community tends to continuously explore new…
Descriptors: Social Networks, Network Analysis, Comparative Analysis, Innovation
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Trafimow, David – Educational and Psychological Measurement, 2018
Because error variance alternatively can be considered to be the sum of systematic variance associated with unknown variables and randomness, a tripartite assumption is proposed that total variance in the dependent variable can be partitioned into three variance components. These are variance in the dependent variable that is explained by the…
Descriptors: Statistical Analysis, Correlation, Experiments, Effect Size
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Luo, Yong; Jiao, Hong – Educational and Psychological Measurement, 2018
Stan is a new Bayesian statistical software program that implements the powerful and efficient Hamiltonian Monte Carlo (HMC) algorithm. To date there is not a source that systematically provides Stan code for various item response theory (IRT) models. This article provides Stan code for three representative IRT models, including the…
Descriptors: Bayesian Statistics, Item Response Theory, Probability, Computer Software
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Preston, Kathleen Suzanne Johnson; Gottfried, Allen W.; Park, Jonathan J.; Manapat, Patrick Don; Gottfried, Adele Eskeles; Oliver, Pamella H. – Educational and Psychological Measurement, 2018
Measurement invariance is a prerequisite when comparing different groups of individuals or when studying a group of individuals across time. This assures that the same construct is assessed without measurement artifacts. This investigation applied a novel approach of simultaneous parameter linking to cross-sectional and longitudinal measures of…
Descriptors: Longitudinal Studies, Family Relationship, Measurement, Measures (Individuals)
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Luo, Yong – Educational and Psychological Measurement, 2018
Mplus is a powerful latent variable modeling software program that has become an increasingly popular choice for fitting complex item response theory models. In this short note, we demonstrate that the two-parameter logistic testlet model can be estimated as a constrained bifactor model in Mplus with three estimators encompassing limited- and…
Descriptors: Computer Software, Models, Statistical Analysis, Computation
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No, Unkyung; Hong, Sehee – Educational and Psychological Measurement, 2018
The purpose of the present study is to compare performances of mixture modeling approaches (i.e., one-step approach, three-step maximum-likelihood approach, three-step BCH approach, and LTB approach) based on diverse sample size conditions. To carry out this research, two simulation studies were conducted with two different models, a latent class…
Descriptors: Sample Size, Classification, Comparative Analysis, Statistical Analysis
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Chalmers, R. Philip – Educational and Psychological Measurement, 2018
This article discusses the theoretical and practical contributions of Zumbo, Gadermann, and Zeisser's family of ordinal reliability statistics. Implications, interpretation, recommendations, and practical applications regarding their ordinal measures, particularly ordinal alpha, are discussed. General misconceptions relating to this family of…
Descriptors: Misconceptions, Test Theory, Test Reliability, Statistics
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Engelhard, George, Jr.; Rabbitt, Matthew P.; Engelhard, Emily M. – Educational and Psychological Measurement, 2018
This study focuses on model-data fit with a particular emphasis on household-level fit within the context of measuring household food insecurity. Household fit indices are used to examine the psychometric quality of household-level measures of food insecurity. In the United States, measures of food insecurity are commonly obtained from the U.S.…
Descriptors: Food, Hunger, Psychometrics, Low Income Groups
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Zijlmans, Eva A. O.; Tijmstra, Jesper; van der Ark, L. Andries; Sijtsma, Klaas – Educational and Psychological Measurement, 2018
Reliability is usually estimated for a total score, but it can also be estimated for item scores. Item-score reliability can be useful to assess the repeatability of an individual item score in a group. Three methods to estimate item-score reliability are discussed, known as method MS, method [lambda][subscript 6], and method CA. The item-score…
Descriptors: Test Items, Test Reliability, Correlation, Comparative Analysis
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Fu, Yuanshu; Wen, Zhonglin; Wang, Yang – Educational and Psychological Measurement, 2018
The maximal reliability of a congeneric measure is achieved by weighting item scores to form the optimal linear combination as the total score; it is never lower than the composite reliability of the measure when measurement errors are uncorrelated. The statistical method that renders maximal reliability would also lead to maximal criterion…
Descriptors: Test Reliability, Test Validity, Comparative Analysis, Attitude Measures
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