Dataset Information

Development of the brief ageing perceptions questionnaire (B-APQ): a confirmatory factor analysis approach to item reduction.

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?

SUBMITTER: Sexton E

PROVIDER: S-EPMC4021231 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Development of the brief ageing perceptions questionnaire (B-APQ): a confirmatory factor analysis approach to item reduction.

Sexton Eithne E King-Kallimanis Bellinda L BL Morgan Karen K McGee Hannah H

BMC geriatrics 20140409

<h4>Background</h4>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.<h4>Methods</h4>Data from the Irish Longitudinal Study of Ageing (TILDA), a representative ...[more]

PMID: 24716631

Similar Datasets

Project description:IntroductionConsidering that childbirth experience has short- and long-term effects on women's lives, it is necessary to examine their delivery experiences. This study aimed to prepare the short form of a 52-item Iranian women's childbirth experience questionnaire with seven factors: professional support, preparation, control, positive perception, baby, family support, and fear.MethodsThis methodological research was conducted on women aged 15 to 49 years (n = 770) with uncomplicated vaginal delivery. The short form of the Iranian women's childbirth experience questionnaire was prepared in four stages. The first stage was exploratory factor analysis, conducted on 250 samples, the second stage was confirmatory factor analysis which was performed on 260 samples, independent of the first stage, to report goodness and fit indices, and the third stage employed items from modification indices, expected parameter change, and standardized residual covariance, leading to the short form of Iranian women childbirth experience questionnaire. Finally, confirmatory factor analysis was run on 260 samples, independent of the previous two stages, to confirm the short form and compare it with the original questionnaire for psychometric analysis.ResultsIn the exploratory factor analysis stage, nine items with a factor load of less than 0.4 were removed, and the number of domains was reduced to five. The second stage showed that the questionnaire had a goodness of fit index. However, the third stage resulted in removing 11 overlapping items and making a short questionnaire with 33 items. Finally, the confirmatory factor analysis in the last stage showed appropriate goodness of fit for the short form of the Iranian women's childbirth experiences questionnaire (𝛘2/df = 2.352, CFI = 0.881, PCFI = 0.750, RMSEA = 0.072, SRMR = 0.0862).ConclusionThe short form of the Iranian women's childbirth experiences questionnaire enjoyed from an appropriate psychometric evaluation. It is recommended when applying the original questionnaire is not feasible due to lack of time.

Project description:BackgroundReducing the number of items in a questionnaire while maintaining relevant information is important as it is associated with advantages such as higher respondent engagement and reduced response error. However, in health care, after the original design, an a posteriori check of the included items in a questionnaire is often overlooked or considered to be of minor importance. When conducted, this is often based on a single selected method. We argue that before finalizing any lifestyle questionnaire, a posteriori validation should always be conducted using multiple approaches to ensure the robustness of the results.ObjectiveThe objectives of this study are to compare the results of two statistical methods for item reduction (variance inflation factor [VIF] and factor analysis [FA]) in a lifestyle questionnaire constructed by combining items from different sources and analyze the different results obtained from the 2 methods and the conclusions that can be made about the original items.MethodsData were collected from 79 participants (heterogeneous in age and sex) with a high risk of metabolic syndrome working in a financial company based in Tokyo. The lifestyle questionnaire was constructed by combining items (asked with daily, weekly, and monthly frequency) from multiple validated questionnaires and other selected questions. Item reduction was conducted using VIF and exploratory FA. Adequacy tests were used to check the data distribution and sampling adequacy.ResultsAmong the daily and weekly questions, both VIF and FA identified redundancies in sleep-related items. Among the monthly questions, both approaches identified redundancies in stress-related items. However, the number of items suggested for reduction often differed: VIF suggested larger reductions than FA for daily questions but fewer reductions for weekly questions. Adequacy tests always confirmed that the structural detection was adequate for the considered items.ConclusionsAs expected, our analyses showed that VIF and FA produced both similar and different findings, suggesting that questionnaire designers should consider using multiple methods for item reduction. Our findings using both methods indicate that many questions, especially those related to sleep, are redundant, indicating that the considered lifestyle questionnaire can be shortened.

Dataset Information

Development of the brief ageing perceptions questionnaire (B-APQ): a confirmatory factor analysis approach to item reduction.

Publications

Development of the brief ageing perceptions questionnaire (B-APQ): a confirmatory factor analysis approach to item reduction.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets