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Record W4206195228 · doi:10.20868/upm.thesis.66002

Análisis del efecto coraje (GRIT) en el rendimiento deportivo

2020· dissertation· es· W4206195228 on OpenAlexaff
Iñaki Quintana García-Milla

Bibliographic record

Venuenot available
Typedissertation
Languagees
FieldMedicine
TopicSports Performance and Training
Canadian institutionsMcGill-Queen's University Press
Fundersnot available
KeywordsGritHumanitiesArtCartographyPsychologyGeography

Abstract

fetched live from OpenAlex

Grit definido como pasión y perseverancia para conseguir objetivos a largo plazo (Duckworth et al., 2007) es uno de los rasgos de personalidad asociados a la motivación y el rendimiento que ha tenido una gran repercusión en los últimos años. La presente tesis doctoral tuvo como objetivo principal analizar el papel del coraje (Grit) y la Persistencia Motivacional en la práctica deliberada del tenis y el rendimiento. Para ello, se llevaron a cabo 4 estudios: en el primer y segundo estudio se realizó la adaptación y validación de dos cuestionarios. Por un lado, el cuestionario Grit (Duckworth et al., 2007) con sus dimensiones Consistencia de Intereses y Perseverancia en el Esfuerzo y, por otro lado, el de Persistencia Motivacional (Constantin et al., 2011) con sus dimensiones Consecución de Objetivos a Largo Plazo, Consecución de Objetivos a Corto Plazo y Vuelta a Objetivos no conseguidos. A continuación, en el estudio 3, se realizó la validación de estas escalas junto a la escala de Pasión (Orgambídez-Ramos, Borrego-Alés y Gonçalves, 2014) en una muestra homogénea de deportistas analizando su relación con la práctica deliberada y rendimiento en una muestra homogénea de deportistas (tenistas). Finalmente, el estudio cuatro tuvo como objetivo caracterizar a esta muestra de tenistas en cuanto a su Grit, Persistencia y Pasión en función de sus rasgos sociodeportivos. La muestra para los dos primeros estudios se compuso de 303 estudiantes universitarios de entre 20 y 30 años, del Grado de Ciencias de la Actividad Física y del Deporte de diferentes universidades de la Comunidad de Madrid. La muestra homogénea de tenistas se compuso de 176 jóvenes, de edades comprendidas entre 14 y 18 años divididos en categoría cadete y junior con diferente nivel de rendimiento, autonómico y nacional. Los resultados mostraron que la herramienta de Grit obtiene mejores propiedades psicométricas en su versión reducida (Grit-S) que su versión original, simulando los resultados de referencia y siendo una herramienta que puede ser administrada a población española (estudio 1). En cuanto a la escala de Persistencia, la versión española adquiere unas propiedades psicométricas aceptables para su uso en población castellana reduciéndose de 3 a 2 sus dimensiones siendo estas Consección de Objetivos y Vuelta a Objetivos no conseguidos (estudio 2). En cuanto a su validación en deportistas (estudio 3), la escala Grit no tuvo resultados favorables mientras que, las escalas de Persistencia y Pasión son herramientas válidas para su uso en una muestra homogénea de deportistas. Además, tanto Grit como Pasión no pronosticaron las horas de práctica deliberada y rendimiento en los tenistas. Finalmente, los tenistas de nivel nacional de esta tesis se caracterizaron por acumular mayor práctica, mostrando mayores niveles de Pasión Armoniosa y Obsesiva con respecto a los jugadores de nivel autonómico y siendo las mujeres aquellas que muestran una mayor Consistencia de Intereses respecto a los hombres (estudio 4). ----------ABSTRACT---------- Grit is defined as passion and perseverance for long-term goals (Duckworth et al., 2007), and it is one of the personality traits associated to motivation and performance that has had a great impact on the last decade. The main objective of this Doctoral Thesis was to analyze the role of Grit and Motivational Persistence in the deliberate practice and performance in tennis players. For this, 4 studies were carried out. The first and second studies aimed at the validation and adaptation of the Grit scale (Duckworth et al., 2007) and Motivational Persistence scale (Constantin et al., 2011). The third study aimed at validating both scales and Passion scale (Orgambídez-Ramos et al., 2014) in a sample of athletes and relate them to deliberate practice and performance. Finally, the fourth study characterized this sample of tennis players in terms of their Grit, Persistence, and Passion according to their social and sports characteristics. The sample for the first two studies was composed of 303 university students between 20 and 30 years of age, enrolled in the Physical Activity and Sports Sciences degree in different universities of Madrid. The sample of tennis players consisted of 176 young people between 14 and 18 years of age, divided into the cadet and junior categories with two different levels of performance, regional and national. The results showed that Grit scale acquired better psychometric properties in its reduced version (Grit-S) than original version, simulating the reference results. It can be administered to the Spanish population (study 1). For Persistence scale, the Spanish version acquired aceptable psychometric properties for use in the Spanish population, reducing its dimensions from 3 to 2. They were purposes of pursuing and recurrence of unattained purposes (study 2). In a sample of athletes (study 3), the Grit scale did not have favorable results, while the Persistence and Passion scales were valid tools for use in the sports field. In addition, Grit and Passion did not predict the hours of deliberate practice and performance in tennis players. Finally, the national level players of this thesis, concerning the regional level, were characterized to accumulate more volume of practice hours and higher levels of harmonious and obsessive passion. As for the differences between the sexes, women showed a greater consistency of interests compared to men (Grit-S) (study 4).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.018
GPT teacher head0.323
Teacher spread0.305 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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