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The Specificity of Observational Studies in Physical Activity and Sports Sciences: Moving Forward in Mixed Methods Research and Proposals for Achieving Quantitative and Qualitative Symmetry

Overview of attention for article published in Frontiers in Psychology, December 2017
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

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2 X users
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1 patent
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2 Facebook pages

Citations

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106 Dimensions

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151 Mendeley
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Title
The Specificity of Observational Studies in Physical Activity and Sports Sciences: Moving Forward in Mixed Methods Research and Proposals for Achieving Quantitative and Qualitative Symmetry
Published in
Frontiers in Psychology, December 2017
DOI 10.3389/fpsyg.2017.02196
Pubmed ID
Authors

M. Teresa Anguera, Oleguer Camerino, Marta Castañer, Pedro Sánchez-Algarra, Anthony J. Onwuegbuzie

Abstract

Mixed methods studies are been increasingly applied to a diversity of fields. In this paper, we discuss the growing use-and enormous potential-of mixed methods research in the field of sport and physical activity. A second aim is to contribute to strengthening the characteristics of mixed methods research by showing how systematic observation offers rigor within a flexible framework that can be applied to a wide range of situations. Observational methodology is characterized by high scientific rigor and flexibility throughout its different stages and allows the objective study of spontaneous behavior in natural settings, with no external influence. Mixed methods researchers need to take bold yet thoughtful decisions regarding both substantive and procedural issues. We present three fundamental and complementary ideas to guide researchers in this respect: we show why studies of sport and physical activity that use a mixed methods research approach should be included in the field of mixed methods research, we highlight the numerous possibilities offered by observational methodology in this field through the transformation of descriptive data into quantifiable code matrices, and we discuss possible solutions for achieving true integration of qualitative and quantitative findings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 151 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 17%
Student > Master 15 10%
Student > Bachelor 11 7%
Lecturer 10 7%
Student > Doctoral Student 10 7%
Other 36 24%
Unknown 44 29%
Readers by discipline Count As %
Sports and Recreations 41 27%
Social Sciences 15 10%
Psychology 13 9%
Agricultural and Biological Sciences 8 5%
Nursing and Health Professions 6 4%
Other 19 13%
Unknown 49 32%
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 15 April 2021.
All research outputs
#6,353,560
of 23,009,818 outputs
Outputs from Frontiers in Psychology
#9,191
of 30,248 outputs
Outputs of similar age
#127,783
of 440,376 outputs
Outputs of similar age from Frontiers in Psychology
#211
of 515 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 30,248 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 69% 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 440,376 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 515 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 59% of its contemporaries.