Application of t-distributed Stochastic Neighbor Embedding (t-SNE) to clustering of social affiliation and recognition psychological motivations in master’s athletes

Joe Walsh; Ian Timothy Heazlewood; Mark DeBeliso; Mike   Climstein

doi:10.31254/sportmed.4101

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Application of t-distributed Stochastic Neighbor Embedding (t-SNE) to clustering of social affiliation and recognition psychological motivations in master’s athletes

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Application of t-distributed Stochastic Neighbor Embedding (t-SNE) to clustering of social affiliation and recognition psychological motivations in master’s athletes

Joe Walsh, Ian Timothy Heazlewood, Mark DeBeliso and Mike Climstein

International Journal of Sport, Exercise and Health Research, Vol.4(1)

2020

DOI: https://doi.org/10.31254/sportmed.4101

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Abstract

Social Motives

Affiliation

Recognition

Motivations of Marathoners Scales

Masters Athletes

Exercise Physiology

Other Health

An exploration of clustering of psychological motivations for participation in sport was conducted using t-distributed Stochastic Neighbor Embedding (t-SNE). The data source used for this investigation was survey data gathered on World Masters Games competitors using the Motivations of Marathoners Scales (MOMS). The aim of this research was to assess the suitability of applying t-SNE to creating two-dimensional scatter plots to visualise the relationship between different psychological motivators for the Social Motives category of the MOMS. Application of t-SNE plots could assist in visually mapping psychological constructs and gaining greater understanding of the underlying patterns in the MOMS tool. Although there was more disparity in the clustering of categories within Social Motives than was hypothesised, some clustering patterns were observed. Some items in the MOMS Social Motives category were connected in a logical manner that complied with those originally proposed by the developers of the MOMS. Two-dimensional scatter plots produced using t-SNE may assist in creating hypotheses about the relationships present between psychological constructs in such high-dimensional data.

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Title: Application of t-distributed Stochastic Neighbor Embedding (t-SNE) to clustering of social affiliation and recognition psychological motivations in master’s athletes
Creators: Joe Walsh - Sports Science Institute
Ian Timothy Heazlewood - Charles Darwin University
Mark DeBeliso - Southern Utah University
Mike Climstein (Corresponding Author) - Southern Cross University, School of Health and Human Sciences
Publication Details: International Journal of Sport, Exercise and Health Research, Vol.4(1)
Publisher: BioMed Research
Identifiers: 991012863197202368
Academic Unit: Human Sciences; Faculty of Health; School of Health and Human Sciences
Language: English
Resource Type: Journal article

Application of t-distributed Stochastic Neighbor Embedding (t-SNE) to clustering of social affiliation and recognition psychological motivations in master’s athletes

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