Talent Development and Participation in Female Football in Rwanda

This study aims to assess the factors determining talent development and participation in football in Rwanda. A mixed methods approach was used to gather quantitative and qualitative data from participants (n = 200), who were football players, administrators and coaches from school teams and local clubs drawn from different leagues in Rwanda. Data collection instruments were developed around five indicators, namely, competition, psychological, enjoyment, physical appearance, and mastery factors, as determinants of talent development among female football players. The raw data were processed and analyzed statistically with the help of IBM SPSS V.26. One-way ANOVA was deemed crucial for analyzing quantitative data, whereas thematic analysis was used to analyze qualitative data. Competition, psychological, and enjoyment factors exhibited statistically significant positive correlations, ranging from strong, moderate, and weak, with sociodemographic factors. Moreover, physical appearance and mastery factors demonstrated significant moderate negative correlations and statistically significant positive weak correlations. The findings indicate that identified factors play a significant role in determining talent development and participation in football among female players in Rwanda. Future studies should include comprehensive methodologies to enhance validity and reliability; they should also explore psychological aspects more deeply and develop targeted interventions that investigate how financial constraints prevent full female participation in Rwandan football.

Authors

Institutions

Publication Details

Journal
African Journal of Sports and Physical Sciences
Published
2025-03-27
DOI
https://doi.org/10.62154/ajsps.2025.03.010624
Primary Topic
Sport Psychology and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Talent Development and Participation in Female Football in Rwanda

Franz. U. Atare, Scovia Kabanyana, Toyin Jaiyeoba
African Journal of Sports and Physical Sciences
Sport Psychology and Performance
article

Talent Development and Participation in Female Football in Rwanda

Franz. U. Atare, Scovia Kabanyana, Toyin Jaiyeoba
article en

Abstract

This study aims to assess the factors determining talent development and participation in football in Rwanda. A mixed methods approach was used to gather quantitative and qualitative data from participants (n = 200), who were football players, administrators and coaches from school teams and local clubs drawn from different leagues in Rwanda. Data collection instruments were developed around five indicators, namely, competition, psychological, enjoyment, physical appearance, and mastery factors, as determinants of talent development among female football players. The raw data were processed and analyzed statistically with the help of IBM SPSS V.26. One-way ANOVA was deemed crucial for analyzing quantitative data, whereas thematic analysis was used to analyze qualitative data. Competition, psychological, and enjoyment factors exhibited statistically significant positive correlations, ranging from strong, moderate, and weak, with sociodemographic factors. Moreover, physical appearance and mastery factors demonstrated significant moderate negative correlations and statistically significant positive weak correlations. The findings indicate that identified factors play a significant role in determining talent development and participation in football among female players in Rwanda. Future studies should include comprehensive methodologies to enhance validity and reliability; they should also explore psychological aspects more deeply and develop targeted interventions that investigate how financial constraints prevent full female participation in Rwandan football.

African Journal of Sports and Physical SciencesVol. 3(1)
University of Ibadan (NG), University of Uyo (NG), Pan-Atlantic University (NG)
Openalex Percentile: Top 94%
Sport Psychology and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.