Development of the Brief Ageing Perceptions Questionnaire (B-APQ): a confirmatory factor analysis approach to item reduction

Hdl Handle:
http://hdl.handle.net/10147/316031
Title:
Development of the Brief Ageing Perceptions Questionnaire (B-APQ): a confirmatory factor analysis approach to item reduction
Authors:
Sexton, Eithne; King-Kallimanis, Bellinda L; Morgan, Karen; McGee, Hannah
Citation:
BMC Geriatrics. 2014 Apr 09;14(1):44
Journal:
BMC geriatrics
Issue Date:
9-Apr-2014
URI:
http://dx.doi.org/10.1186/1471-2318-14-44; http://hdl.handle.net/10147/316031
Abstract:
Abstract Background This paper aimed to develop a short version of the 32-item Ageing Perceptions Questionnaire (APQ), a multi-dimensional measure based on Leventhal's self-regulation model. Ageing perceptions are a key area of interest for large-scale surveys of ageing populations. As these studies capture a broad range of health and social variables, included instruments need to be as concise as possible. Methods Data from the Irish Longitudinal Study of Ageing (TILDA), a representative sample of community-dwelling individuals aged 50+ (n = 6,718), was used to revise the scale. Items for exclusion were identified by examining conceptual content, descriptive statistics, and by detecting sources of poor model fit using confirmatory factor analysis (CFA). Potential combinations of dimensions were also tested using CFA. Finally, we identified any dimensions that could be excluded without limiting the conceptual coverage and coherence of the scale. Model modifications were done sequentially and with regard to theoretical considerations. Internal consistency and construct validity of the concise scale were compared with the longer version. Results Initially, 11 items were excluded on the basis of conceptual and empirical overlap with other items. CFA indicated that the negative-control and negative-consequences dimensions could be combined, allowing us to exclude a further item from this dimension. The 5-item timeline-cyclical dimension was also excluded, as it was less well-established conceptually and empirically than the other dimensions. The final 17-item, 5-dimension model was consistent with the original conceptual model and fit the data well (chi-sq = 1433.54, df(109), p < 0.01, RMSEA = 0.04, CFI = 0.97, TLI = 0.96). Conclusions The Brief-APQ (B-APQ) is a concise, multi-dimensional measure of ageing perceptions, which is psychometrically valid for use with the Irish population aged 50+. The concise version preserved the internal consistency and construct validity of the original. Its brevity makes it particularly suitable for use with large-scale adult population surveys. The psychometric analysis supports the application of the self-regulation model to ageing perceptions, but also the existence of distinct "physical decline" and "ongoing development" dimensions of perceptions.
Language:
en
Keywords:
AGEING; QUESTIONNAIRE

Full metadata record

DC FieldValue Language
dc.contributor.authorSexton, Eithneen_GB
dc.contributor.authorKing-Kallimanis, Bellinda Len_GB
dc.contributor.authorMorgan, Karenen_GB
dc.contributor.authorMcGee, Hannahen_GB
dc.date.accessioned2014-04-22T08:56:38Z-
dc.date.available2014-04-22T08:56:38Z-
dc.date.issued2014-04-09-
dc.identifier.citationBMC Geriatrics. 2014 Apr 09;14(1):44en_GB
dc.identifier.urihttp://dx.doi.org/10.1186/1471-2318-14-44-
dc.identifier.urihttp://hdl.handle.net/10147/316031-
dc.description.abstractAbstract Background This paper aimed to develop a short version of the 32-item Ageing Perceptions Questionnaire (APQ), a multi-dimensional measure based on Leventhal's self-regulation model. Ageing perceptions are a key area of interest for large-scale surveys of ageing populations. As these studies capture a broad range of health and social variables, included instruments need to be as concise as possible. Methods Data from the Irish Longitudinal Study of Ageing (TILDA), a representative sample of community-dwelling individuals aged 50+ (n = 6,718), was used to revise the scale. Items for exclusion were identified by examining conceptual content, descriptive statistics, and by detecting sources of poor model fit using confirmatory factor analysis (CFA). Potential combinations of dimensions were also tested using CFA. Finally, we identified any dimensions that could be excluded without limiting the conceptual coverage and coherence of the scale. Model modifications were done sequentially and with regard to theoretical considerations. Internal consistency and construct validity of the concise scale were compared with the longer version. Results Initially, 11 items were excluded on the basis of conceptual and empirical overlap with other items. CFA indicated that the negative-control and negative-consequences dimensions could be combined, allowing us to exclude a further item from this dimension. The 5-item timeline-cyclical dimension was also excluded, as it was less well-established conceptually and empirically than the other dimensions. The final 17-item, 5-dimension model was consistent with the original conceptual model and fit the data well (chi-sq = 1433.54, df(109), p < 0.01, RMSEA = 0.04, CFI = 0.97, TLI = 0.96). Conclusions The Brief-APQ (B-APQ) is a concise, multi-dimensional measure of ageing perceptions, which is psychometrically valid for use with the Irish population aged 50+. The concise version preserved the internal consistency and construct validity of the original. Its brevity makes it particularly suitable for use with large-scale adult population surveys. The psychometric analysis supports the application of the self-regulation model to ageing perceptions, but also the existence of distinct "physical decline" and "ongoing development" dimensions of perceptions.-
dc.language.isoenen
dc.subjectAGEINGen_GB
dc.subjectQUESTIONNAIREen_GB
dc.titleDevelopment of the Brief Ageing Perceptions Questionnaire (B-APQ): a confirmatory factor analysis approach to item reductionen_GB
dc.identifier.journalBMC geriatricsen_GB
dc.language.rfc3066en-
dc.rights.holderEithne Sexton et al.; licensee BioMed Central Ltd.-
dc.description.statusPeer Reviewed-
dc.date.updated2014-04-14T23:08:22Z-
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