Dataset Information

Translation and Validation of the Volunteer Functions Inventory (VFI) among the General Dutch Older Population.

ABSTRACT: Improvement of volunteering rates in the Netherlands is important because increased productivity among older adults would contribute to societal sustainability in the light of population aging. Therefore, a better understanding of volunteer motivations of Dutch older adults is needed. The Volunteer Functions Inventory (VFI) for assessing volunteer motivations has good psychometric properties and is adapted to several languages, but no validated Dutch translation yet exists. The aim of the current study is to validate the VFI for use in the Dutch older population (60 years and over). The Dutch-translated VFI (6 scales, 30 items) is included in the Lifelines 'Daily Activities and Leisure Activities add-on Study', which was distributed among participants aged 60 to 80. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) are performed to assess the validity of the translated VFI. Internal consistency is assessed by computing Cronbach's ?'s. Results of the EFA (N = 4208) point towards a six-factor solution with a nearly perfectly clean structure. Deletion of three problematic items results in a clean factor structure. CFA results indicate moderate model fit (RMSEA = 0.06, CFI = 0.90, TLI = 0.89). Cronbach's ?'s (0.78 to 0.85) indicate good internal consistency. Goodness-of-fit indices are sufficient and comparable to those obtained in the validation of the original VFI. The current study provides support for use of the Dutch-translation of the VFI (6 scales, 27 items) to assess volunteer motivations among Dutch volunteers aged 60 years and over.

SUBMITTER: Niebuur J

PROVIDER: S-EPMC6747180 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Translation and Validation of the Volunteer Functions Inventory (VFI) among the General Dutch Older Population.

Niebuur Jacobien J Liefbroer Aart C AC Steverink Nardi N Smidt Nynke N

International journal of environmental research and public health 20190826 17

Improvement of volunteering rates in the Netherlands is important because increased productivity among older adults would contribute to societal sustainability in the light of population aging. Therefore, a better understanding of volunteer motivations of Dutch older adults is needed. The Volunteer Functions Inventory (VFI) for assessing volunteer motivations has good psychometric properties and is adapted to several languages, but no validated Dutch translation yet exists. The aim of the curren ...[more]

PMID: 31455027

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Project description:BackgroundThe eHealth Impact Questionnaire (eHIQ) provides a standardized method to measure attitudes of electronic health (eHealth) users toward eHealth. It has previously been validated in a population of eHealth users in the United Kingdom and consists of 2 parts and 5 subscales. Part 1 measures attitudes toward eHealth in general and consists of the subscales attitudes towards online health information (5 items) and attitudes towards sharing health experiences online (6 items). Part 2 measures the attitude toward a particular eHealth application and consists of the subscales confidence and identification (9 items), information and presentation (8 items), and understand and motivation (9 items).ObjectiveThis study aimed to translate and validate the eHIQ in a Dutch population of eHealth users.MethodsThe eHIQ was translated and validated in accordance with the COnsensus-based Standards for the selection of health status Measurement INstruments criteria. The validation comprised 3 study samples, with a total of 1287 participants. Structural validity was assessed using confirmatory factor analyses and exploratory factor analyses (EFAs; all 3 samples). Internal consistency was assessed using hierarchical omega (all 3 samples). Test-retest reliability was assessed after 2 weeks, using 2-way intraclass correlation coefficients (sample 1). Measurement error was assessed by calculating the smallest detectable change (sample 1). Convergent and divergent validity were assessed using correlations with the remaining measures (all 3 samples). A graded response model was fit, and item information curves were plotted to describe the information provided by items across item trait levels (all 3 samples).ResultsThe original factor structure showed a bad fit in all 3 study samples. EFAs showed a good fit for a modified factor structure in the first study sample. This factor structure was subsequently tested in samples 2 and 3 and showed acceptable to good fits. Internal consistency, test-retest reliability, convergent validity, and divergent validity were acceptable to good for both the original as the modified factor structure, except for test-retest reliability of one of the original subscales and the 2 derivative subscales in the modified factor structure. The graded response model showed that some items underperformed in both the original and modified factor structure.ConclusionsThe Dutch version of the eHIQ (eHIQ-NL) shows a different factor structure compared with the original English version. Part 1 of the eHIQ-NL consists of 3 subscales: attitudes towards online health information (5 items), comfort with sharing health experiences online (3 items), and usefulness of sharing health experiences online (3 items). Part 2 of the eHIQ-NL consists of 3 subscales: motivation and confidence to act (10 items), information and presentation (13 items), and identification (3 items).

Project description:Background and objectivesNurses' caring behaviors, professional activities, and behaviors for the benefit of patients, influence patients' perception of care and satisfaction with the quality of care provided. Caring behaviors of nurses are contextual and various factors such as patients' social structure, lifestyle, culture, and interests, as well as their biographical, social, and physiological characteristics, can influence perceptions of caring behaviors of nurses, as caring behaviors are an interactive and mental process between patients and nurses. This study was conducted to provide a transcultural translation and psychometric analysis of Caring Behaviors Inventory (CBI) among nurses in Iran.MethodologyTranscultural translation of the 16-item CBI was performed. Then, face validity (qualitative), content validity (quantitative and qualitative), and construct validity were examined in a cross-sectional study of 509 patients. A demographic questionnaire and the 16-item CBI were sent to enrolled patients via online questionnaires. The reliability of the instrument was assessed by internal consistency using Cronbach's alpha. Then, construct validity of the single factor CBI was assessed using Confirmatory Factor Analysis (CFA). Since one factor CBI was not confirmed, construct validity was examined using Exploratory Factor Analysis (EFA). The final number of factors was confirmed using CFA.ResultsThe internal consistency of the instrument was good with Cronbach's alpha 0.89. Based on EFA, the CBI were loaded on two factors, eigenvalues >1, no item was removed. The emergent factors were named "Communicating respectfully" and "Professional knowledge and skill". These two factors explained 50.197% of the total variance. Then, CFA showed an acceptable fit for the two factors CBI.ConclusionThe results showed that the Persian version of the 16-item CBI had adequate validity and reliability. Accordingly, this instrument can be used to study nurses' caring behaviors.

Dataset Information

Translation and Validation of the Volunteer Functions Inventory (VFI) among the General Dutch Older Population.

Publications

Translation and Validation of the Volunteer Functions Inventory (VFI) among the General Dutch Older Population.

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