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The Multifactor Measure of Performance: Its Development, Norming, and Validation

Overview of attention for article published in Frontiers in Psychology, February 2018
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3 X users

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Title
The Multifactor Measure of Performance: Its Development, Norming, and Validation
Published in
Frontiers in Psychology, February 2018
DOI 10.3389/fpsyg.2018.00140
Pubmed ID
Authors

Reuven Bar-On

Abstract

This article describes the development as well as the initial norming and validation of the Multifactor Measure of Performance™ (MMP™), which is a psychometric instrument that is designed to study, assess and enhance key predictors of human performance to help individuals perform at a higher level. It was created by the author, for the purpose of going beyond existing conceptual and psychometric models that often focus on relatively few factors that are purported to assess performance at school, in the workplace and elsewhere. The relative sparsity of multifactorial pre-employment assessment instruments exemplifies, for the author, one of the important reasons for developing the MMP™, which attempts to comprehensively evaluate a wider array of factors that are thought to contribute to performance. In that this situation creates a need in the area of test-construction that should be addressed, the author sought to develop a multifactorial assessment and development instrument that could concomitantly evaluate a combination of physical, cognitive, intra-personal, inter-personal, and motivational factors that significantly contribute to performance. The specific aim of this article is to show why, how and if this could be done as well as to present and discuss the potential importance of the results obtained to date. The findings presented here will hopefully add to what is known about human performance and thus contribute to the professional literature, in addition to contribute to the continued development of the MMP™. The impetus for developing the MMP™ is first explained below, followed by a detailed description of the process involved and the findings obtained; and their potential application is then discussed as well as the possible limitations of the present research and the need for future studies to address them.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 14%
Researcher 4 14%
Lecturer 3 11%
Student > Ph. D. Student 2 7%
Professor 1 4%
Other 3 11%
Unknown 11 39%
Readers by discipline Count As %
Business, Management and Accounting 6 21%
Psychology 4 14%
Biochemistry, Genetics and Molecular Biology 1 4%
Nursing and Health Professions 1 4%
Agricultural and Biological Sciences 1 4%
Other 5 18%
Unknown 10 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 March 2018.
All research outputs
#14,374,036
of 23,018,998 outputs
Outputs from Frontiers in Psychology
#15,265
of 30,274 outputs
Outputs of similar age
#188,155
of 331,219 outputs
Outputs of similar age from Frontiers in Psychology
#384
of 572 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,274 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 331,219 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 572 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.