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Record W3124481347 · doi:10.29252/aassjournal.916

The Effect of Different Attentional Focus on the Penalty Kicking Performance of Adolescent Male Soccer Players in Different Levels

2020· article· en· W3124481347 on OpenAlexaff
Lixin Zheng, Henry E. Wang

Bibliographic record

VenueAnnals of Applied Sport Science · 2020
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSports biomechanicsKinesiologyPsychologyFocus (optics)AthletesPhysical medicine and rehabilitationApplied psychologyPhysical therapySimulationMedicineComputer science

Abstract

fetched live from OpenAlex

Background. Previous studies have shown that an external versus the internal focus of attention is an effective and efficient method to improve athletes' performance under anxious conditions. Objectives. The current study aimed to assess the effect of the practice with a distinct focus of attention on the penalty kicking performance of adolescent soccer players with different expertise. Methods. Twenty-four skilled and 24 novice adolescent male soccer players were recruited in the current study. Also, skill-level and age-matched goalkeepers also took part in the study to induce anxiety to the penalty takers. The penalty takers were required to practice penalty kicking toward designated target areas with either an external or internal focus of attention. Results. The results of the mixed analysis of variance (ANOVA) indicated that in the post-test, skilled adolescent soccer players demonstrated superior accuracy with an external versus internal focus (p<0.05). In contrast, the novices showed greater consistency with an internal than external focus (p<0.05). Remarkably, the better performance of accuracy in the post-test was not at the cost of kicking velocity (p>0.05). Conclusion. The current study suggests that an appropriate combination of expertise and instruction type (internal vs. external) is critical for improving the penalty kicking performance of adolescent male soccer players.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.068
GPT teacher head0.339
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2020
Admission routes1
Has abstractyes

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