Open AccessComparing Data Treatments on Item‐Level Nonresponse and Their Effects on Data Analysis of Large‐Scale Assessments: 2009 PISA Study
Author(s) -
Chen Haiwen H.,
von Davier Matthias,
Yamamoto Kentaro,
Kong Nan
Publication year - 2015
Publication title -
ets research report series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.235
H-Index - 5
ISSN - 2330-8516
DOI - 10.1002/ets2.12059
Subject(s) - item response theory , scale (ratio) , psychology , affect (linguistics) , statistics , item analysis , econometrics , calibration , psychometrics , mathematics , communication , physics , quantum mechanics
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.