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Pairwise likelihood estimation for confirmatory factor analysis models with categorical variables and data that are missing at random
[journal article]
dc.contributor.author | Katsikatsou, Myrsini | de |
dc.contributor.author | Moustaki, Irini | de |
dc.contributor.author | Jamil, Haziq | de |
dc.date.accessioned | 2023-07-26T10:53:40Z | |
dc.date.available | 2023-07-26T10:53:40Z | |
dc.date.issued | 2022 | de |
dc.identifier.issn | 2044-8317 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/87997 | |
dc.description.abstract | Methods for the treatment of item non-response in attitudinal scales and in large-scale assessments under the pairwise likelihood (PL) estimation framework and under a missing at random (MAR) mechanism are proposed. Under a full information likelihood estimation framework and MAR, ignorability of the missing data mechanism does not lead to biased estimates. However, this is not the case for pseudo-likelihood approaches such as the PL. We develop and study the performance of three strategies for incorporating missing values into confirmatory factor analysis under the PL framework, the complete-pairs (CP), the available-cases (AC) and the doubly robust (DR) approaches. The CP and AC require only a model for the observed data and standard errors are easy to compute. Doubly-robust versions of the PL estimation require a predictive model for the missing responses given the observed ones and are computationally more demanding than the AC and CP. A simulation study is used to compare the proposed methods. The proposed methods are employed to analyze the UK data on numeracy and literacy collected as part of the OECD Survey of Adult Skills. | de |
dc.language | en | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.other | PIAAC | de |
dc.title | Pairwise likelihood estimation for confirmatory factor analysis models with categorical variables and data that are missing at random | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.source.journal | British Journal of Mathematical and Statistical Psychology | |
dc.source.volume | 75 | de |
dc.publisher.country | NLD | de |
dc.source.issue | 1 | de |
dc.subject.classoz | Erhebungstechniken und Analysetechniken der Sozialwissenschaften | de |
dc.subject.classoz | Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods | en |
dc.subject.thesoz | Wahrscheinlichkeit | de |
dc.subject.thesoz | probability | en |
dc.subject.thesoz | Daten | de |
dc.subject.thesoz | data | en |
dc.subject.thesoz | Methodenvergleich | de |
dc.subject.thesoz | comparison of methods | en |
dc.subject.thesoz | Simultananalyse | de |
dc.subject.thesoz | simultaneous analysis | en |
dc.subject.thesoz | Einstellung | de |
dc.subject.thesoz | attitude | en |
dc.identifier.urn | urn:nbn:de:0168-ssoar-87997-6 | |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
ssoar.contributor.institution | FDB | de |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10061922 | |
internal.identifier.thesoz | 10034708 | |
internal.identifier.thesoz | 10052208 | |
internal.identifier.thesoz | 10035504 | |
internal.identifier.thesoz | 10036125 | |
dc.type.stock | article | de |
dc.type.document | Zeitschriftenartikel | de |
dc.type.document | journal article | en |
dc.source.pageinfo | 23-45 | de |
internal.identifier.classoz | 10105 | |
internal.identifier.journal | 2659 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 300 | |
dc.identifier.doi | https://doi.org/10.1111/bmsp.12243 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
internal.pdf.valid | false | |
internal.pdf.wellformed | true | |
internal.pdf.encrypted | false |
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Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods