Energy, fatigue, or both? A bifactor modeling approach to the conceptualization and measurement of vitality.
Purpose: Vitality is an important domain reflecting both the physical and emotional components of health-related quality of life. Because of its complexity, it has been defined and measured both broadly and narrowly. We explored the dimensionality of a very comprehensive item bank hypothesized to me...
| Publicado en: | Quality of Life Research Vol. 24; no. 1; pp. 81 - 94 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jan2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109773638&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109773638 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09629343 GPQ jtl: Quality of Life Research issn: 09629343 maglogo: N pubinfo: dt: Jan2015 vid: 24 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 109773638 NLM25362259 2012870152 10.1007/s11136-014-0839-9 NLM25362259 109773638 ppf: 81 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Energy, fatigue, or both? A bifactor modeling approach to the conceptualization and measurement of vitality. aug: au: Deng, Nina Guyer, Rick Ware Jr, John E Ware, John E Jr sug: subj: Factor Analysis Fatigue Etiology Quality of Life Study Design Aged Clinical Assessment Tools Concept Formation Emotions Female Human Male Middle Age Models, Theoretical Questionnaires Short Form-36 Health Survey (SF-36) Funding Source Aged: 65+ years Middle Aged: 45-64 years Female Male ab: Purpose: Vitality is an important domain reflecting both the physical and emotional components of health-related quality of life. Because of its complexity, it has been defined and measured both broadly and narrowly. We explored the dimensionality of a very comprehensive item bank hypothesized to measure vitality and its related concepts.Methods: Secondary analyses were conducted using the responses of 1,343 adults representative of the US general population to Internet-based surveys including 42 items compiled from multiple scales (e.g., SF-36 Vitality, PROMIS-Fatigue), covering a broad range of vitality-related content areas (energy, fatigue, and their interference with physical, mental, social activities, and quality of life). Exploratory and confirmatory factor models were evaluated independently using split-half samples. Bifactor model was used to assess the essential unidimensionality of the items, in comparison with traditional unidimensional, multidimensional, and hierarchical models. Method effects of a common scale or phrase were modeled via correlating errors.Results: The exploratory factor analysis identified one dominant factor. The confirmatory factor analysis identified a best-fitting (CFI = 0.964, RMSEA = 0.084) bifactor model with one general (vitality) and two group (energy and fatigue) factors, explaining 69, 3, and 4 % of total variance. Correlating errors accounting for the method effects were important in identifying the substantive dimensionality of the items.Conclusions: The bifactor model proved to be useful for evaluating the dimensionality of a complex construct. Results supported conceptualizing and measuring vitality as a unidimensional energy-fatigue construct. We encourage future studies comparing practical implications of measures based on the broader and narrower conceptualizations of vitality. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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