The primary keyword for this post is "playing up an age grade" and this article explains what youth Camogie players report about that practice and how AI-enabled qualitative research can make those insights actionable for coaches and researchers. According to the PLOS ONE study, interviews with adolescent Camogie players reveal both clear performance benefits and psychosocial risks that organisations should weigh when offering playing-up opportunities. The analysis below summarises the PLOS ONE evidence, highlights exact statistics from the May–August 2024 interviews, and maps those findings to AI workflows (transcription, thematic coding, cross-segment analysis) that teams and researchers can operationalise.
Key Takeaways
Two-sentence summary: According to the PLOS ONE study published on August 11, 2026, adolescent Camogie players who play up an age grade report accelerated skill development and improved psychosocial competence, but they also report increased pressure, injury concerns, and social friction. The PLOS ONE study collected semi-structured interviews between May 1 and August 31, 2024 and analysed responses from 15 players using reflexive thematic analysis.
- Sample and timing: The PLOS ONE study interviewed n = 15 adolescent players (mean age 14.4 ± 1.1 years) between May 1 and August 31, 2024.
- Prevalence in sample: The PLOS ONE report states 100% of participants were currently playing up, 80% played up at club level, and 67% had played up previously (data reported in the study).
- Perceived benefits and risks: The PLOS ONE authors found 80% of participants expressed favourable perceptions of playing up, citing skill gains and social mentoring, but participants also raised injury and burnout concerns and described adverse peer interactions.
- Direct voices: Players told researchers in the PLOS ONE interviews, "if I wanted to, I could" (P7) and "you've nothing to lose" (P13), showing autonomy and encouragement themes.
What Happened: study design and measurements
This section answers: what the PLOS ONE study did and how it measured perceptions. The PLOS ONE paper by O’Keeffe and Lane used semi-structured Zoom interviews conducted between May 1 and August 31, 2024, with adolescent Camogie players and analysed transcripts using a six-step reflexive thematic analysis.
The study sample and context are explicit in the PLOS ONE report: 15 participants (mean age 14.4 ± 1.1 years) with 7.2 ± 2.2 years of playing experience, where 100% were currently playing up at least one age grade and the majority (n = 12; 80%) were doing so at club level.
Interviews were audio-recorded and automatically transcribed, then checked for accuracy as described in the PLOS ONE methods, enabling verbatim quotations and thematic coding.
Limitations recorded by the PLOS ONE authors include single-stakeholder sampling (players only) and potential social desirability bias because parental and coaching roles overlap in communities.
Findings Snapshot
| Date/Period | Metric | Value (from PLOS ONE) | Implication |
|---|---|---|---|
| May 1–Aug 31, 2024 | Interviews conducted | n = 15 adolescent players | Qualitative sample sufficient for in-depth reflexive analysis |
| 2026 (published Aug 11, 2026) | Mean participant age | 14.4 ± 1.1 years | Findings reflect mid-adolescent perspectives |
| Study data (reported in PLOS ONE) | Players currently playing up | 100% (n = 15) | Participants had direct, current experience of playing up |
| Participant characteristics | Played up at club level | 80% (n = 12) | Club contexts drive many playing-up decisions |
| Participant characteristics | Also play other sports (Gaelic football) | 73% (n = 11) | Competing demands and schedule clashes are common |
Implications for coaches and youth-sport researchers
This section answers: what coaches and researchers should do with the PLOS ONE findings. The PLOS ONE authors recommend individualised, autonomy-supportive decisions rather than blanket age policies, and suggest bio-banding as a considered strategy when properly measured.
Coaches should interpret the PLOS ONE evidence as showing clear competence gains: players reported faster decision-making and greater confidence when playing up, and the study notes exposures to higher-caliber coaching as a mechanism for those gains.
Researchers should treat the PLOS ONE qualitative themes (competence, relatedness, autonomy, pressure, injury risk) as testable hypotheses for longitudinal or mixed-methods designs, especially given the study’s call for multi-stakeholder (players, parents, coaches) data to validate transferability.
Policy-makers should note the PLOS ONE observation that Ireland experiences high youth sport dropout (the study cites over 70% dropout nationally with 15% dropout in Camogie in sources the paper references), and therefore weigh playing-up benefits against retention and injury risks reported by players.
How Evidano Helps: mapping researcher problems to AI-enabled solutions
Problem: laborious transcription and error-prone coding
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.
Solution: use Evidano’s transcription and integrated thematic analysis to convert audio interviews like those in the PLOS ONE study into searchable transcripts, apply consistent codebooks, and track code frequencies and co-occurrences.
Feature link: see Evidano Speech-to-Text for automated transcription workflows and custom dictionaries useful for sport-specific terms.
Problem: synthesising small-n interview themes into actionable recommendations
Evidano helps by auto-generating thematic summaries and exporting exemplar quotes linked to codes, so researchers can quantify how many participants expressed benefits (e.g., 80% favourable perceptions reported in the PLOS ONE study) and present verbatim evidence for stakeholders.
Solution: Evidano’s thematic frequency and cross-segment analyses let coaches compare subgroups (e.g., club vs county players) to detect where pressures or social integration problems are strongest. See Evidano Features for thematic and cross-segment analytics.
Problem: ensuring data privacy and reproducibility
Evidano stores encrypted project data and provides audit trails for coding decisions so researchers can meet transparency standards similar to those used by the PLOS ONE authors who archived their data on the Open Science Framework.
Solution: Evidano supports transcript redaction, PII filters, and exports suitable for sharing under open science practices while retaining participant anonymity.
FAQ: playing up an age grade
What did the PLOS ONE study find about why players choose to play up an age grade?
Direct answer: The PLOS ONE study found players chose to play up because of coach and parent influence, opportunity, autonomy, and team necessity when numbers were low.
Supporting detail: The PLOS ONE interviews reported external influencers (coaches, parents, siblings) and intrinsic choice, players described a sense like "if I wanted to, I could" (P7) when deciding to step up.
What measurable benefits did players report in the PLOS ONE interviews?
Direct answer: Players reported accelerated skill development, improved decision-making, increased physicality, and greater psychosocial competence.
Supporting detail: The PLOS ONE authors noted many participants said the higher pace made their own age-grade games feel easier and that older teammates "teach you stuff that you wouldn’t have been taught in under-14s" (P9).
What risks should coaches monitor if a player is selected to play up?
Direct answer: Coaches should monitor injury risk, burnout, psychological pressure, and social integration.
Supporting detail: The PLOS ONE participants explicitly mentioned injury vulnerability when facing larger opponents, schedule clashes that strain school and sport balance, and adverse peer interactions that reduced enjoyment.
How can qualitative and AI tools make PLOS ONE-style research more actionable?
Direct answer: AI tools speed transcription, standardise coding, quantify theme frequencies, and surface exemplar quotes for stakeholders.
Supporting detail: In the PLOS ONE methods, interviews were auto-transcribed and checked; Evidano’s comparable automated transcription plus AI-assisted thematic coding reduces manual workload and produces reproducible exports for coach education and policy discussions.
Conclusion & Next Steps
Recap: The PLOS ONE study (published August 11, 2026) shows that playing up an age grade can accelerate skill and psychosocial development for adolescent Camogie players, but it also introduces pressures, injury concerns, and social challenges that require individualised management.
Actionable next step for researchers and coaches: replicate and expand mixed-methods studies with coach and parent voices, apply objective maturity measures before bio-banding, and implement autonomy-supportive integration protocols as the PLOS ONE authors suggest.
If you run interviews, open-ended surveys, or scout player readiness and want faster, reproducible qualitative synthesis, consider automating transcription and coding workflows with AI. To try an end-to-end platform for qualitative sports research, Try Evidano for free.
Topics
- playing up an age grade
- playing up qualitative research
- youth sport qualitative analysis
- AI qualitative analysis sports
Keep reading
- Commentary on NewsPlaying up an age grade: qualitative analysis for coachesPractical guidance for coaches: qualitative analysis of playing up an age grade in Camogie, with sample stats, player quotes and AI-enabled research workflows.
- Commentary on NewsPlayer Perspectives: Qualitative Analysis of Playing UpPractical lessons from a PLOS One qualitative analysis of playing up in youth Camogie, with AI-enabled methods for faster thematic synthesis and safer decisions.
- Commentary on NewsGrammar for Sustainability: GSIC from UNGA CorpusHow a PLOS ONE corpus shows grammar encodes sustainability competencies. Practical GSIC steps for researchers and teachers, plus AI-enabled methods to scale analysis.