Titlebook: Understanding and Investigating Response Processes in Validation Research; Bruno D. Zumbo,Anita M. Hubley Book 2017 Springer International

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Validating a Distractor-Driven Geometry Test Using a Generalized Diagnostic Classification Model,dle school geometry. The test is an example of a “distractor-driven” test that includes selected-response questions with systematically written incorrect response options; scoring the test involves tracking which specific response options students select for each item. The test is intended to provid

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Understanding Test-Taking Strategies for a Reading Comprehension Test via Latent Variable Regressio outcome of a reading comprehension test and serve to provide process level evidence of validity. With the process variables as the explanatory variables, test-takers’ performance was analyzed via a latent variable regression in a structural equation model (SEM), along with Pratt’s importance measur

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An Investigation of Writing Processes Employed in Scenario-Based Assessment,ents execute in responding to an essay task. Students’ writing processes were recorded via keystroke logs. Two testing conditions were compared, one with the original task ordering and the other with reversed task ordering, using more than two dozen variables extracted from keystroke logs. The resul

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National and International Educational Achievement Testing: A Case of Multi-level Validation Frameduses often rely on aggregated student test score data, and imply inferences about multilevel constructs. Validating uses and interpretations about these multilevel constructs requires appropriate multilevel validation techniques. This chapter combines multilevel data analysis techniques with an expl

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Book 2017. It builds on the themes and findings of the volume Validity and Validation in Social, Behavioral, and Health Sciences (Zumbo & Chan, 2014), with a focus on measurement validity evidence based on response processes. Approximately 1000 studies are published each year examining the validity of infere

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Response Time Data as Validity Evidence: Has It Lived Up To Its Promise and, If Not, What Would It then describe the typical uses of response time data and review the different approaches to studying response time data in various research. The chapter closes with an evaluation of response time data as validity evidence and suggests the conditions that would facilitate better use of response data for validation purposes.

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978-3-319-85833-3Springer International Publishing AG 2017