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Validation of the German Version of the Music-Empathizing-Music-Systemizing (MEMS) Inventory (Short Version)

Overview of attention for article published in Frontiers in Behavioral Neuroscience, August 2018
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Title
Validation of the German Version of the Music-Empathizing-Music-Systemizing (MEMS) Inventory (Short Version)
Published in
Frontiers in Behavioral Neuroscience, August 2018
DOI 10.3389/fnbeh.2018.00153
Pubmed ID
Authors

Alexandra Linnemann, Gunter Kreutz, Mario Gollwitzer, Urs M. Nater

Abstract

Background: Kreutz et al. (2008) developed the Music-Empathizing-Music-Systemizing (ME-MS) Inventory to extend Baron-Cohen's cognitive style theory to the domain of music. We sought to confirm the ME-MS construct in a German sample and to explore these individual differences in relation to music preferences. Methods: The German adaptation of the MEMS Inventory was achieved by forward and backward translation. A total of 1014 participants (532 male, age: 33.79 ± 11.89 years) completed the 18-item short version of the MEMS Inventory online. Confirmatory factor analysis (CFA) was performed and cut-off values were established to identify individuals who could be classified as ME, Balanced, or MS. Statistical analyses were used to examine differences in music preference based on music-related cognitive styles. Results: Confirmatory factor analysis (CFA) confirmed two factors, ME and MS, with sufficiently good fit (CFI = 0.87; GFI = 0.93) and adequate internal consistency (Cronbach's Alpha ME: 0.753, MS: 0.783). Analyses of difference scores allowed for a classification as either ME, Balanced, or MS. ME and MS differed in sociodemographic variables, preferred music genres, preferred reasons for music listening, musical expertise, situations in which music is listened to in daily life, and frequency of music-induced chills. Discussion: The German short version of the MEMS Inventory shows good psychometric properties. Based on the cut-off values, differences in music preference were found. Consequently, ME and MS use music in different ways, and the cognitive style of music listening thus appears to be an important moderator in research on the psychology of music. Future research should identify behavioral and neurophysiological correlates and investigate mechanisms underlying music processing based on these different cognitive styles of music listening.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 17%
Student > Ph. D. Student 4 10%
Student > Doctoral Student 4 10%
Student > Bachelor 4 10%
Student > Master 4 10%
Other 6 14%
Unknown 13 31%
Readers by discipline Count As %
Psychology 14 33%
Social Sciences 4 10%
Arts and Humanities 2 5%
Computer Science 2 5%
Medicine and Dentistry 2 5%
Other 2 5%
Unknown 16 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 20 May 2023.
All research outputs
#7,172,884
of 25,050,563 outputs
Outputs from Frontiers in Behavioral Neuroscience
#1,108
of 3,417 outputs
Outputs of similar age
#115,431
of 336,556 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#39
of 93 outputs
Altmetric has tracked 25,050,563 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 3,417 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 66% 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 336,556 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 65% of its contemporaries.
We're also able to compare this research output to 93 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 58% of its contemporaries.