↓ Skip to main content

Development of a Vitality Scan related to workers’ sustainable employability: a study assessing its internal consistency and construct validity

Overview of attention for article published in BMC Public Health, June 2015
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
82 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Development of a Vitality Scan related to workers’ sustainable employability: a study assessing its internal consistency and construct validity
Published in
BMC Public Health, June 2015
DOI 10.1186/s12889-015-1894-z
Pubmed ID
Authors

Livia AM Brouwers, Josephine A Engels, Yvonne F Heerkens, Allard J van der Beek

Abstract

Most validated sustainable employability questionnaires are extensive and difficult to obtain. Our objective was to develop a usable and valid tool, a Vitality Scan, to determine possible signs of stagnation in one's functioning related to sustainable employability and to establish the instrument's internal consistency and construct validity. A literature review was performed and expert input was obtained to develop an online survey of 31 items. A sample of 1722 Dutch employees was recruited. Internal consistency was assessed by Cronbach's alpha. The underlying theoretical concepts were extracted by factor analysis using a principal component method. For construct validity, a priori hypotheses were defined for expected differences between known subgroups: 1) older workers would report more stagnation than younger workers, and 2) less educated workers would report more problems than the highly educated ones. Both hypotheses were statistically tested using ANOVA. Internal consistency measures and factor analysis resulted in five subscales with acceptable to good reliability (Cronbach's alpha 0.72-0.87). These subscales included: balance and competence, motivation and involvement, resilience, mental and physical health, and social support at work. Three items were removed following these analyses. In accordance with our a priori hypothesis 1, the ANOVA showed that older workers reported the most problems, while younger workers reported the least problems. However, hypothesis 2 was not confirmed: no significant differences were found for education level. The developed Vitality Scan - with the 28 remaining items - showed good measurement properties. It is applicable as a user-friendly, evaluative instrument for worker's sustainable employability. The scan's value for determining whether or not the employee is at risk for a decrease in functioning during present and future work, should be further tested.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 2%
Netherlands 1 1%
United States 1 1%
Unknown 78 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 22%
Student > Master 12 15%
Student > Bachelor 11 13%
Researcher 8 10%
Lecturer 4 5%
Other 9 11%
Unknown 20 24%
Readers by discipline Count As %
Psychology 19 23%
Social Sciences 11 13%
Business, Management and Accounting 10 12%
Nursing and Health Professions 6 7%
Medicine and Dentistry 6 7%
Other 11 13%
Unknown 19 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 October 2023.
All research outputs
#7,068,092
of 24,579,850 outputs
Outputs from BMC Public Health
#7,476
of 16,248 outputs
Outputs of similar age
#70,608
of 244,197 outputs
Outputs of similar age from BMC Public Health
#116
of 244 outputs
Altmetric has tracked 24,579,850 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 16,248 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 244,197 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 244 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.