Planned Missing Data Designs for Developmental Researchers
Planned missing data designs allow researchers to collect incomplete data from participants by randomly assigning participants to have missing items on a survey (multiform designs) or missing measurement occasions in a longitudinal design (wave missing designs) or by administering an intensive measu...
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Published in | Child development perspectives Vol. 7; no. 4; pp. 199 - 204 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Oxford
Blackwell Publishing Ltd
01.12.2013
Blackwell Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Planned missing data designs allow researchers to collect incomplete data from participants by randomly assigning participants to have missing items on a survey (multiform designs) or missing measurement occasions in a longitudinal design (wave missing designs) or by administering an intensive measure to a small subsample of a larger dataset (two‐method measurement designs). When these designs are implemented correctly and when missingness is dealt with using a modern approach, the cost of data collection is lowered (sometimes dramatically) and reduced participant burden may result in higher validity as well as lower rates of unplanned missing data. In reviewing these planned missing designs, we briefly describe results of ongoing research on bias and power associated with each. |
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Bibliography: | University of Kansas Social Sciences and Humanities Research Council of Canada ArticleID:CDEP12043 istex:4EDA3D98A2F4A8510C5833F16BB54D2492485E83 ark:/67375/WNG-29082869-Q NSF - No. 1053160 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1750-8592 1750-8606 |
DOI: | 10.1111/cdep.12043 |