Comparing Data Treatments on Item‐Level Nonresponse and Their Effects on Data Analysis of Large‐Scale Assessments: 2009 PISA Study. Issue 1 (19th May 2015)

• Record Type: Journal Article
• Authors: Chen, Haiwen H.; von Davier, Matthias; Yamamoto, Kentaro; Kong, Nan
• Is Part Of: ETS research report series. Issue 1(2015:Jun.)
• Page Start: 1
• Page End: 16
• Publication Date: 2015-05-19
• Subjects: Programme for International Student Assessment (PISA) -- item‐level nonresponse -- low‐stakes test -- item calibration and scoring -- multiple‐choice items and constructed items; Universities and colleges -- Entrance examinations; Universities and colleges -- Graduate work -- Examinations; Universities and colleges -- United States -- Entrance examinations; Universities and colleges -- United States -- Graduate work -- Examinations; Graduate Record Examination; Educational tests and measurements; Social sciences; Education -- Research; Education -- Research; Educational tests and measurements; Graduate Record Examination; Social sciences; Universities and colleges -- Entrance examinations; Universities and colleges -- Graduate work -- Examinations; United States; 378
• DOI: 10.1002/ets2.12059
• Languages: English
• ISSNs: 2330-8516

Abstract

Abstract : One major issue with large‐scale assessments is that the respondents might give no responses to many items, resulting in less accurate estimations of both assessed abilities and item parameters. This report studies how the types of items affect the item‐level nonresponse rates and how different methods of treating item‐level nonresponses have an effect on item calibration and scoring. Abstract : Report Number: ETS RR–15–12