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Autor/inBrennan, Robert L.
TitelA Discussion of Population Invariance
QuelleIn: Applied Psychological Measurement, 32 (2008) 1, S.102-114 (13 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0146-6216
DOI10.1177/0146621607311582
SchlagwörterAdvanced Placement; Law Schools; Science Achievement; Achievement Tests; Equated Scores; College Admission; Item Response Theory; Racial Differences; Testing Programs; Sampling; Standardized Tests; Evaluation Methods; College Entrance Examinations
AbstractThe discussion here covers five articles that are linked in the sense that they all treat population invariance. This discussion of population invariance is a somewhat broader treatment of the subject than simply a discussion of these five articles. In particular, occasional reference is made to publications other than those in this issue. The articles discussed herein are: (1) von Davier and Wilson (2008 [this issue]) considered item response theory (IRT) equating for Advanced Placement Program exams; (2) Liu and Holland (2008 [this issue]) considered parallel-linear linking for the Law School Admission Test (LSAT); (3) Yang and Gao (2008 [this issue]) considered linking for College-Level Examination Program exams that consist of overlapping groups of testlets; (4) Yi, Harris, and Gao (2008 [this issue]) considered equating for a science achievement test; and (5) Dorans, Liu, and Hammond (2008 [this issue]) considered the role of an anchor test in achieving population invariance. For the tests considered in these articles, the results reported provide support for at least the following tentative conclusions: (1) Population invariance tends to be satisfied reasonably well for carefully constructed alternative forms of a test with equal reliability (Liu & Holland, 2008; Yang & Gao, 2008); (2) Linking functions tend to be more similar for gender groups than for ethnic groups (Liu & Holland, 2008; Yang & Gao, 2008); (3) Linking functions tend to be more similar for tests that differ in reliability than for tests that measure different constructs (Liu & Holland, 2008); (4) Often (but not always) population invariance results are quite consistent across types of linking methods (von Davier & Wilson, 2008; Yi et al., 2008); and (5) Satisfying the assumption of population invariance does not guarantee that a linking can be considered an equating (Dorans et al., 2008). (Contains 1 table and 12 notes.) (ERIC).
AnmerkungenSAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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