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Measuring subjective well-being from a multidimensional and temporal perspective: Italian adaptation of the I COPPE scale

Overview of attention for article published in Health and Quality of Life Outcomes, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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1 blog
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2 X users
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1 Facebook page
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1 Redditor

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80 Mendeley
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Title
Measuring subjective well-being from a multidimensional and temporal perspective: Italian adaptation of the I COPPE scale
Published in
Health and Quality of Life Outcomes, May 2018
DOI 10.1186/s12955-018-0916-9
Pubmed ID
Authors

Salvatore Di Martino, Immacolata Di Napoli, Ciro Esposito, Isaac Prilleltensky, Caterina Arcidiacono

Abstract

The objective of this study is to present the psychometric and cultural adaptation of the I COPPE scale to the Italian context. The original 21-item I COPPE was developed by Isaac Prilleltensky and colleagues to integrate a multidimensional and temporal perspective into the quantitative assessment of people's subjective well-being. The scale comprises seven domains (Overall, Interpersonal, Community, Occupation, Psychological, Physical, and Economic well-being), which tap into past, present, and future self-appraisals of well-being. The Italian adapted version of the I COPPE scale underwent translation and backtranslation procedure. After a pilot study was conducted on a local sample of 683 university students, a national sample of 2432 Italian citizens responded to the final translated version of the I COPPE scale, 772 of whom re-completed the same survey after a period of four months. Respondents from both waves of the national sample were recruited partly through on-line social networks (i.e. Facebook, Twitter, and SurveyMonkey) and partly by university students who had been trained in Computer-Assisted Survey Information Collection. Data were first screened for non-valid cases and tested for multivariate normality and missing data. The correlation matrix revealed highly significant correlation values, ranging from medium to high for nearly all congeneric variables of the I COPPE scale. Results from a series of nested and non-nested model comparisons supported the 7-factor correlated-traits model originally hypothesised, with factor loadings and inter-item reliability ranging from medium to high. In addition, they revealed that the I COPPE scale has strong internal reliability, with composite reliability always higher than .7, satisfactory construct validity, with average variance extracted nearly always higher than .5, and and full strict invariance across time. The Italian adaptation of the I COPPE scale presents appropriate psychometric properties in terms of both validity and reliability, and therefore can be applied to the Italian context. Some limitation and recommendations for future studies are discussed.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 10%
Student > Bachelor 8 10%
Student > Ph. D. Student 7 9%
Student > Doctoral Student 5 6%
Lecturer 3 4%
Other 8 10%
Unknown 41 51%
Readers by discipline Count As %
Psychology 18 23%
Nursing and Health Professions 6 8%
Medicine and Dentistry 3 4%
Social Sciences 2 3%
Business, Management and Accounting 2 3%
Other 8 10%
Unknown 41 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 September 2018.
All research outputs
#3,783,852
of 23,047,237 outputs
Outputs from Health and Quality of Life Outcomes
#362
of 2,188 outputs
Outputs of similar age
#74,662
of 327,709 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#35
of 76 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,188 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 82% 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 327,709 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 76 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 52% of its contemporaries.