2017
DOI: 10.3102/1076998617703649
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Absolute and Relative Measures of Instructional Sensitivity

Abstract: Valid inferences on teaching drawn from students' test scores require that tests are sensitive to the instruction students received in class. Accordingly, measures of the test items' instructional sensitivity provide empirical support for validity claims about inferences on instruction. In the present study, we first introduce the concepts of absolute and relative measures of instructional sensitivity. Absolute measures summarize a single item's total capacity of capturing effects of instruction, which is inde… Show more

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Cited by 14 publications
(11 citation statements)
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“…However, this solution may be more challenging for other measures (e.g., instructional sensitivity for final examination grades might vary more strongly between groups of students) and could result in the need for study designs and data with strong requirements. For instance, to rigorously test for instructional sensitivity, extensive longitudinal data are needed to test for absolute and relative instructional sensitivity (Naumann et al, 2017). Likewise, the relevance of grades might vary between different students (independently of how grades count toward the final GPA), and studies would need to assess relevance at the student level to objectively derive appropriate aggregates.…”
Section: Research Prospectsmentioning
confidence: 99%
“…However, this solution may be more challenging for other measures (e.g., instructional sensitivity for final examination grades might vary more strongly between groups of students) and could result in the need for study designs and data with strong requirements. For instance, to rigorously test for instructional sensitivity, extensive longitudinal data are needed to test for absolute and relative instructional sensitivity (Naumann et al, 2017). Likewise, the relevance of grades might vary between different students (independently of how grades count toward the final GPA), and studies would need to assess relevance at the student level to objectively derive appropriate aggregates.…”
Section: Research Prospectsmentioning
confidence: 99%
“…The pretest comprised 16 items (EAP/PV reliability = .52), and the posttest comprised 13 items (EAP/PV reliability = .76). These items have been shown to be sensitive to instruction (Naumann et al 2017). In addition, experts from educational practice and research in science education have judged the items as valid and highly relevant to the topic of floating and sinking.…”
Section: Standardized Testsmentioning
confidence: 99%
“…For this purpose, we calculated and compared McDonalds-ω as a reliability coefficient [54] and conducted analyses of measurement invariance using longitudinal confirmatory factor analyses (LCFA). We also checked for instructional sensitivity [55] by using a multiple indicator, multiple cause approach (MIMIC approach; as applied, for example, in Sideridis et al [56]). By introducing a variable representing the type of learning environment as a predictor on the latent factor as well as on the items into the longitudinal model (preand post-test), the MIMIC approach is suitable for indicating differences between both test versions in measuring the development of EBs.…”
Section: Procedures Of Data Analysismentioning
confidence: 99%