Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/37975
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nooraee, Nazanin | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.contributor.author | Ormel, Johan | - |
dc.contributor.author | van den Heuvel, Edwin R. | - |
dc.date.accessioned | 2022-09-05T11:56:24Z | - |
dc.date.available | 2022-09-05T11:56:24Z | - |
dc.date.issued | 2022 | - |
dc.date.submitted | 2022-08-16T13:01:33Z | - |
dc.identifier.citation | Communications in statistics. Simulation and computation, , p. 1 -18 | - |
dc.identifier.uri | http://hdl.handle.net/1942/37975 | - |
dc.description.abstract | Sum scores from questionnaire data are frequently analyzed under the normality assumption which is not always tenable due to for instance the skewness of the distribution, or the discreteness of the sum scores for small number of items. Alternatively, an ordinal regression analysis can be applied, but this approach seems appropriate only for very small number of items. The current state-of-the-art approach is to apply a beta-binomial model, though the beta-binomial model does not simply connect to item-response theory models that may describe the underlying items of the questionnaire, and it is more cumbersome to fit to multi domain sum scores or repeated longitudinal single sum scores. This paper proposes a normal-probit-binomial model for repeated sum scores that has an item level interpretation under certain assumptions without having to analyze the individual items. All parameters, the temporal correlation coefficients, and the mean difficulty parameter were almost unbiasedly estimated, irrespective of the set of item difficulty parameters. The coverage probability of the 95% confidence intervals were close to the nominal level, except for the correlation coefficients that were slightly liberal. Our model performed slightly better than the beta-binomial model on cross-sectional data and it handles missing items easily. | - |
dc.language.iso | en | - |
dc.publisher | TAYLOR & FRANCIS INC | - |
dc.rights | 2022 Taylor & Francis Group, LLC | - |
dc.subject.other | Item response theory | - |
dc.subject.other | Latent variable model | - |
dc.subject.other | Longitudinal data analysis | - |
dc.subject.other | Mixed models | - |
dc.subject.other | Missing item | - |
dc.title | A normal-probit-binomial model for the analysis of repeated sum scores from multi-item questionnaires | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 18 | - |
dc.identifier.spage | 1 | - |
local.format.pages | 18 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Nooraee, N (corresponding author), Merck Sharp & Dohme Ltd, Ctr Math Sci, Oss, Netherlands. | - |
dc.description.notes | nazanin.nooraee@gmail.com | - |
local.publisher.place | 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.status | Early view | - |
dc.identifier.doi | 10.1080/03610918.2022.2092140 | - |
dc.identifier.isi | WOS:000822627000001 | - |
dc.contributor.orcid | Molenberghs, Geert/0000-0002-6453-5448 | - |
local.provider.type | wosris | - |
local.description.affiliation | [Nooraee, Nazanin] Merck Sharp & Dohme Ltd, Ctr Math Sci, Oss, Netherlands. | - |
local.description.affiliation | [Molenberghs, Geert] Katholieke Univ Leuven, I BioStat, Leuven, Belgium. | - |
local.description.affiliation | [Molenberghs, Geert] Univ Hasselt, I BioStat, Diepenbeek, Belgium. | - |
local.description.affiliation | [Ormel, Johan] Univ Groningen, Univ Med Ctr Groningen, Interdisciplinary Ctr Psychopathol & Emot Regulat, Groningen, Netherlands. | - |
local.description.affiliation | [van den Heuvel, Edwin R.] Eindhoven Univ Technol, Dept Math & Comp Sci, Eindhoven, Netherlands. | - |
local.uhasselt.international | yes | - |
item.contributor | Nooraee, Nazanin | - |
item.contributor | MOLENBERGHS, Geert | - |
item.contributor | Ormel, Johan | - |
item.contributor | van den Heuvel, Edwin R. | - |
item.fulltext | With Fulltext | - |
item.validation | ecoom 2023 | - |
item.fullcitation | Nooraee, Nazanin; MOLENBERGHS, Geert; Ormel, Johan & van den Heuvel, Edwin R. (2022) A normal-probit-binomial model for the analysis of repeated sum scores from multi-item questionnaires. In: Communications in statistics. Simulation and computation, , p. 1 -18. | - |
item.accessRights | Restricted Access | - |
crisitem.journal.issn | 0361-0918 | - |
crisitem.journal.eissn | 1532-4141 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
A normal-probit-binomial model for the analysis of repeated sum scores from multi-item questionnaires.pdf Restricted Access | Early view | 1.95 MB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.