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Xiaowen Liu – International Journal of Testing, 2024
Differential item functioning (DIF) often arises from multiple sources. Within the context of multidimensional item response theory, this study examined DIF items with varying secondary dimensions using the three DIF methods: SIBTEST, Mantel-Haenszel, and logistic regression. The effect of the number of secondary dimensions on DIF detection rates…
Descriptors: Item Analysis, Test Items, Item Response Theory, Correlation
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Fu, Yanyan; Strachan, Tyler; Ip, Edward H.; Willse, John T.; Chen, Shyh-Huei; Ackerman, Terry – International Journal of Testing, 2020
This research examined correlation estimates between latent abilities when using the two-dimensional and three-dimensional compensatory and noncompensatory item response theory models. Simulation study results showed that the recovery of the latent correlation was best when the test contained 100% of simple structure items for all models and…
Descriptors: Item Response Theory, Models, Test Items, Simulation
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Sessoms, John; Finney, Sara J. – International Journal of Testing, 2015
Because schools worldwide use low-stakes tests to make important decisions, value-added indices computed from test scores must accurately reflect student learning, which requires equal test-taking effort across testing occasions. Evaluating change in effort assumes effort is measured equivalently across occasions. We evaluated the longitudinal…
Descriptors: Testing, Measurement, Models, Change
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Kajonius, Petri J. – International Journal of Testing, 2017
Research is currently testing how the new maladaptive personality inventory for DSM (PID-5) and the well-established common Five-Factor Model (FFM) together can serve as an empirical and theoretical foundation for clinical psychology. The present study investigated the official short version of the PID-5 together with a common short version of…
Descriptors: Foreign Countries, Personality Measures, Personality Traits, Clinical Diagnosis
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Jurich, Daniel P.; Bradshaw, Laine P. – International Journal of Testing, 2014
The assessment of higher-education student learning outcomes is an important component in understanding the strengths and weaknesses of academic and general education programs. This study illustrates the application of diagnostic classification models, a burgeoning set of statistical models, in assessing student learning outcomes. To facilitate…
Descriptors: College Outcomes Assessment, Classification, Statistical Analysis, Models
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DeMars, Christine E. – International Journal of Testing, 2013
This tutorial addresses possible sources of confusion in interpreting trait scores from the bifactor model. The bifactor model may be used when subscores are desired, either for formative feedback on an achievement test or for theoretically different constructs on a psychological test. The bifactor model is often chosen because it requires fewer…
Descriptors: Test Interpretation, Scores, Models, Correlation
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Byrne, Barbara M.; van de Vijver, Fons J. R. – International Journal of Testing, 2014
In cross-cultural research, there is a tendency for researchers to draw inferences at the country level based on individual-level data. Such action implicitly and often mistakenly assumes that both the measuring instrument and its underlying construct(s) are operating equivalently across both levels. Based on responses from 5,482 college students…
Descriptors: Factor Structure, Measures (Individuals), Cross Cultural Studies, Structural Equation Models
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Li, Yuan H.; Tompkins, Leroy J. – International Journal of Testing, 2004
The primary objective of this study was to examine the construct validity for the 2 multiple-content testing programs-the multiple-choice Comprehensive Tests of Basic Skills (CTBS/5) together with the performance-based Maryland School Performance Assessment Program (MSPAP)-by evaluating the true-score longitudinal associations among…
Descriptors: Testing Programs, Structural Equation Models, Performance Based Assessment, Multitrait Multimethod Techniques