Missing data imputation and corrected statistics for large-scale behavioral databases
This article presents a new methodology for solving problems resulting from missing data in large-scale item performance behavioral databases. Useful statistics corrected for missing data are described, and a new method of imputation for missing data is proposed. This methodology is applied to the D...
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Veröffentlicht in: | Behavior Research Methods 2011-06, Vol.43 (2), p.310-330 |
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creator | Courrieu, Pierre Rey, Arnaud |
description | This article presents a new methodology for solving problems resulting from missing data in large-scale item performance behavioral databases. Useful statistics corrected for missing data are described, and a new method of imputation for missing data is proposed. This methodology is applied to the Dutch Lexicon Project database recently published by Keuleers, Diependaele, and Brysbaert
(Frontiers in Psychology,
1, 174, 2010), which allows us to conclude that this database fulfills the conditions of use of the method recently proposed by Courrieu, Brand-D’Abrescia, Peereman, Spieler, and Rey (
2011
) for testing item performance models. Two application programs in MATLAB code are provided for the imputation of missing data in databases and for the computation of corrected statistics to test models. |
doi_str_mv | 10.3758/s13428-011-0071-2 |
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(Frontiers in Psychology,
1, 174, 2010), which allows us to conclude that this database fulfills the conditions of use of the method recently proposed by Courrieu, Brand-D’Abrescia, Peereman, Spieler, and Rey (
2011
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(Frontiers in Psychology,
1, 174, 2010), which allows us to conclude that this database fulfills the conditions of use of the method recently proposed by Courrieu, Brand-D’Abrescia, Peereman, Spieler, and Rey (
2011
) for testing item performance models. 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Useful statistics corrected for missing data are described, and a new method of imputation for missing data is proposed. This methodology is applied to the Dutch Lexicon Project database recently published by Keuleers, Diependaele, and Brysbaert
(Frontiers in Psychology,
1, 174, 2010), which allows us to conclude that this database fulfills the conditions of use of the method recently proposed by Courrieu, Brand-D’Abrescia, Peereman, Spieler, and Rey (
2011
) for testing item performance models. Two application programs in MATLAB code are provided for the imputation of missing data in databases and for the computation of corrected statistics to test models.</abstract><cop>New York</cop><pub>Springer-Verlag</pub><pmid>21424187</pmid><doi>10.3758/s13428-011-0071-2</doi><tpages>21</tpages><orcidid>https://orcid.org/0000-0002-7219-0910</orcidid><orcidid>https://orcid.org/0000-0001-8204-483X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Behavioral psychology Behavioral Science and Psychology Cognitive Psychology Database industry Databases, Factual Methodology Models, Psychological Models, Statistical Problem Solving Psychology Research Design Statistics Statistics as Topic |
title | Missing data imputation and corrected statistics for large-scale behavioral databases |
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