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Confirmatory Factor Analysis of the French Version of the Anticipatory and Consummatory Interpersonal Pleasure Scale

Overview of attention for article published in Frontiers in Psychology, July 2017
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  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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3 tweeters
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1 Facebook page

Citations

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3 Dimensions

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Title
Confirmatory Factor Analysis of the French Version of the Anticipatory and Consummatory Interpersonal Pleasure Scale
Published in
Frontiers in Psychology, July 2017
DOI 10.3389/fpsyg.2017.01296
Pubmed ID
Authors

Joséphine Chaix, Philippe Golay, Caroline Fankhauser, Alexandra Nguyen, Diane C. Gooding, Jérôme Favrod

Abstract

The Anticipatory and Consummatory Interpersonal Pleasure Scale (ACIPS), a measure specifically designed to assess hedonic capacity for social and interpersonal pleasure, was used to evaluate the presence of social anhedonia in patients as well as the general population. The first goal of this study was to validate the structure of the French version of the ACIPS. The second objective was to verify whether a one, two or three factor solution is most appropriate for the ACIPS scale. The French version of the ACIPS was tested on 263 French-speaking pre-graduate students or professional volunteers. For the confirmatory factor analysis, data were treated as categorical ordinal and all the models were estimated using a robust weighted least squares estimator with adjustments for the mean and variance. Three models were estimated. A one-factor model representing a general undifferentiated "pleasure" latent construct was first tested on the 17 ACIPS items. A two-factor model distinguishing anticipatory-pleasure and consummatory-pleasure was tested next. Finally, a three-factor model including subdomains of intimate social interactions, group social interactions, and social bonding was tested. The one and two-factor models showed a somewhat poor fit to the data. However, the goodness of fit of the three factor model was adequate. These results suggest that individuals who enjoyed interaction in one of these three subdomains were more likely to enjoy doing so in the two other domains. However, on the basis of the comparison between the one and three factor models, these three types of interactions may not be considered as indistinguishable. Rather, they represent distinct and theoretically meaningful dimensions. These results show the French version of the ACIPS is a useful and valid scale to measure the capacity of savoring different kinds of social relationships.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 33%
Student > Master 2 22%
Student > Bachelor 1 11%
Lecturer 1 11%
Student > Ph. D. Student 1 11%
Other 1 11%
Readers by discipline Count As %
Psychology 4 44%
Unspecified 2 22%
Nursing and Health Professions 1 11%
Sports and Recreations 1 11%
Medicine and Dentistry 1 11%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 March 2019.
All research outputs
#7,037,651
of 13,434,955 outputs
Outputs from Frontiers in Psychology
#6,403
of 13,267 outputs
Outputs of similar age
#108,974
of 265,712 outputs
Outputs of similar age from Frontiers in Psychology
#137
of 321 outputs
Altmetric has tracked 13,434,955 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,267 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has gotten more attention than average, scoring higher than 50% 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 265,712 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 58% of its contemporaries.
We're also able to compare this research output to 321 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 55% of its contemporaries.