Data Analysis of Psychological Approaches to Soccer Research: Using LDA Topic Modeling
This study identifies the topical areas of research that have attempted a psychological approach to soccer research over the last 33 years (1990–2022) and explored the growth and stagnation of the topic as well as research contributions to soccer development. Data were obtained from 1863 papers from...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Behavioral Sciences |
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| Online Access: | https://www.mdpi.com/2076-328X/13/10/787 |
| _version_ | 1797574755007594496 |
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| author | Jea Woog Lee Doug Hyun Han |
| author_facet | Jea Woog Lee Doug Hyun Han |
| author_sort | Jea Woog Lee |
| collection | DOAJ |
| description | This study identifies the topical areas of research that have attempted a psychological approach to soccer research over the last 33 years (1990–2022) and explored the growth and stagnation of the topic as well as research contributions to soccer development. Data were obtained from 1863 papers from the Web of Science database. The data were collected through keyword text mining and data preprocessing to determine the keywords needed for analysis. Based on the keywords, latent Dirichlet allocation-based topic modeling analysis was performed to analyze the topic distribution of papers and explore research trends by topic area. The topic modeling process included four topic area and fifty topics. The “Coaching Essentials in Football” topic area had the highest frequency, but it was not statistically identified as a trend. However, coaching, including training, is expected to continue to be an important research topic, as it is a key requirement for success in the highly competitive elite football world. Interest in the research field of “Psychological Skills for Performance Development” has waned in recent years. This may be due to the predominance of other subject areas rather than a lack of interest. Various high-tech interventions and problem-solving attempts are being made in this field, providing opportunities for qualitative and quantitative expansion. “Motivation, cognition, and emotion” is a largely underrated subject area in soccer psychology. This could be because survey-based psychological evaluation attempts have decreased as the importance of rapid field application has been emphasized in recent soccer-related studies. However, measuring psychological factors contributes to the study of football psychology through a new methodology and theoretical background. Recognizing the important role of psychological factors in player performance and mental management, as well as presenting new research directions and approaches that can be directly applied to the field, will advance soccer psychology research. |
| first_indexed | 2024-03-10T21:26:50Z |
| format | Article |
| id | doaj.art-d62903e794fc4c97aa5ca8947480d08e |
| institution | Directory Open Access Journal |
| issn | 2076-328X |
| language | English |
| last_indexed | 2024-03-10T21:26:50Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Behavioral Sciences |
| spelling | doaj.art-d62903e794fc4c97aa5ca8947480d08e2023-11-19T15:39:42ZengMDPI AGBehavioral Sciences2076-328X2023-09-01131078710.3390/bs13100787Data Analysis of Psychological Approaches to Soccer Research: Using LDA Topic ModelingJea Woog Lee0Doug Hyun Han1Intelligent Information Processing Lab, Chung-Ang University, Seoul 06974, Republic of KoreaDepartment of Psychiatry, Chung Ang University Hospital, Seoul 06974, Republic of KoreaThis study identifies the topical areas of research that have attempted a psychological approach to soccer research over the last 33 years (1990–2022) and explored the growth and stagnation of the topic as well as research contributions to soccer development. Data were obtained from 1863 papers from the Web of Science database. The data were collected through keyword text mining and data preprocessing to determine the keywords needed for analysis. Based on the keywords, latent Dirichlet allocation-based topic modeling analysis was performed to analyze the topic distribution of papers and explore research trends by topic area. The topic modeling process included four topic area and fifty topics. The “Coaching Essentials in Football” topic area had the highest frequency, but it was not statistically identified as a trend. However, coaching, including training, is expected to continue to be an important research topic, as it is a key requirement for success in the highly competitive elite football world. Interest in the research field of “Psychological Skills for Performance Development” has waned in recent years. This may be due to the predominance of other subject areas rather than a lack of interest. Various high-tech interventions and problem-solving attempts are being made in this field, providing opportunities for qualitative and quantitative expansion. “Motivation, cognition, and emotion” is a largely underrated subject area in soccer psychology. This could be because survey-based psychological evaluation attempts have decreased as the importance of rapid field application has been emphasized in recent soccer-related studies. However, measuring psychological factors contributes to the study of football psychology through a new methodology and theoretical background. Recognizing the important role of psychological factors in player performance and mental management, as well as presenting new research directions and approaches that can be directly applied to the field, will advance soccer psychology research.https://www.mdpi.com/2076-328X/13/10/787soccerpsychologyresearch trendsdata sciencetopic modelingbibliometric |
| spellingShingle | Jea Woog Lee Doug Hyun Han Data Analysis of Psychological Approaches to Soccer Research: Using LDA Topic Modeling Behavioral Sciences soccer psychology research trends data science topic modeling bibliometric |
| title | Data Analysis of Psychological Approaches to Soccer Research: Using LDA Topic Modeling |
| title_full | Data Analysis of Psychological Approaches to Soccer Research: Using LDA Topic Modeling |
| title_fullStr | Data Analysis of Psychological Approaches to Soccer Research: Using LDA Topic Modeling |
| title_full_unstemmed | Data Analysis of Psychological Approaches to Soccer Research: Using LDA Topic Modeling |
| title_short | Data Analysis of Psychological Approaches to Soccer Research: Using LDA Topic Modeling |
| title_sort | data analysis of psychological approaches to soccer research using lda topic modeling |
| topic | soccer psychology research trends data science topic modeling bibliometric |
| url | https://www.mdpi.com/2076-328X/13/10/787 |
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