Literaturnachweis - Detailanzeige
| Autor/inn/en | Kaplan, David; Su, Dan |
|---|---|
| Titel | On Imputation for Planned Missing Data in Context Questionnaires Using Plausible Values: A Comparison of Three Designs |
| Quelle | In: Large-scale Assessments in Education, 6 (2018), Artikel 6 (31 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 2196-0739 |
| DOI | 10.1186/s40536-018-0059-9 |
| Schlagwörter | Questionnaires; Measurement; Measurement Techniques; Evaluation Methods; Test Bias; Achievement Tests; Foreign Countries; International Assessment; Secondary School Students; Test Construction; Test Items; Program for International Student Assessment |
| Abstract | Background: This paper extends a recent study by Kaplan and Su ("J Educ Behav Stat" 41: 51-80, 2016) examining the problem of matrix sampling of context questionnaire scales with respect to the generation of plausible values of cognitive outcomes in large-scale assessments. Methods: Following Weirich et al. ("Nested multiple imputation in large-scale assessments." In: "Large-scale assessments in education," 2. http://www.largescaleassessmentsineducation.com/content/2/1/9, 2014) we examine single + multiple imputation and multiple + multiple imputation methods using predictive mean matching imputation under three different context questionnaire matrix sampling designs: a two-form design studied by Adams et al. ("On the use of rotated context questionnaires in conjunction with multilevel item response models." In: "Large-scale assessments in education." http://www.largescaleassessmentsineducation.com/content/1/1/5, 2013), a three-form design implemented in PISA 2012, and a partially-balanced incomplete design studied by Kaplan and Su ("J Educ Behav Stat" 41: 51-80, 2016). Results: Our results show that the choice of design has a larger impact on the reduction of bias than the choice of imputation method. Specifically, the three-form design used in PISA 2012 yields considerably less bias compared to the two-form design and the partially balanced incomplete design. We further show that the partially balanced incomplete block design produces less bias than the two-form design despite having the same amount of missing data. Conclusions: We discuss the results in terms of implications for the design of context questionnaires in large-scale assessments. (As Provided). |
| Anmerkungen | Springer. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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