Motivational Profiles of Junior College Athletes: A Cluster Analysis

2008 ◽  
Vol 20 (2) ◽  
pp. 137-156 ◽  
Author(s):  
L. K. Zason Chian ◽  
C. K. John Wang
2019 ◽  
Vol 35 (3) ◽  
pp. 464-471
Author(s):  
Jorge Vergara-Morales ◽  
Milenko Del Valle ◽  
Alejandro Díaz ◽  
Lennia Matos ◽  
María-Victoria Pérez

Los objetivos del estudio fueron identificar los perfiles motivacionales de estudiantes universitarios y evaluar sus diferencias en cuanto a la satisfacción académica. Los participantes fueron 882 estudiantes con edades comprendidas entre los 17 y 50 años, procedentes de nueve universidades chilenas. Los perfiles motivacionales se identificaron mediante análisis de conglomerados, siguiendo la combinación de métodos jerárquicos y no jerárquicos. El análisis de conglomerados se realizó incluyendo las siguientes variables motivacionales: (1) motivación autónoma, (2) motivación controlada, (3) percepción de apoyo a la autonomía, y (4) percepción de control de la autonomía. Las diferencias entre los perfiles se evaluaron a través de la prueba Anova unifactorial, considerando el cálculo del tamaño del efecto y el análisis post-hoc de Games-Howell. Los resultados del análisis de conglomerados apoyaron una solución de cuatro perfiles motivacionales: mala calidad (n = 167), baja cantidad (n = 144), buena calidad (n = 333), y alta cantidad (n = 238). Además, los estudiantes agrupados en los perfiles con mayores niveles de autonomía para el aprendizaje, presentaron los niveles más altos de satisfacción académica. Como conclusión, se destaca la importancia que tienen los factores motivacionales para facilitar el desarrollo del bienestar de los estudiantes universitarios. The aims of the study were to identify the motivational profiles of university students and to assess their differences according the academic satisfaction. The participants were 882 students aged 17 to 50, from nine Chilean universities. Motivational profiles were identified by cluster analysis, following the combination of hierarchical and non-hierarchical methods. The cluster analysis was perform including the following motivational variables: (1) autonomous motivation, (2) controlled motivation, (3) perception of autonomy support, and (4) perception of autonomy control. The differences among the profiles were assessed through the one way Anova test, considering the effect size calculation, and the Games-Howell post-hoc analysis. The cluster analysis results supported a four motivational profiles solution: poor quality (n = 167), low quantity (n = 144), good quality (n = 333), and high quantity (n = 238). Moreover, students grouped into profiles with higher levels of autonomy for learning, presented the highest levels of academic satisfaction. In conclusion, the importance of motivational factors to facilitate the development of university students’ well-being is highlighted.


2020 ◽  
Vol 39 (4) ◽  
pp. 518-526 ◽  
Author(s):  
Rafael Burgueño ◽  
José Macarro-Moreno ◽  
Isabel Sánchez-Gallardo ◽  
María-Jesús Lirola ◽  
Jesús Medina-Casaubón

Purpose: This research aimed to examine the possible difference of secondary school students’ motivational profiles on their sportsmanship orientation in physical education. Methods: The participants were 707 (53.61% men; Mage = 14.97, SDage = 1.58) secondary school students, who completed measures on their perception of behavioral regulation and sportsmanship orientation in physical education. A two-step cluster analysis was performed to explore the motivational profiles, and multivariate analysis of variance tests was conducted to examine differences on sportsmanship orientation among motivational profiles. Results: The cluster analysis identified four motivational profiles (controlled, amotivated, high motivational regulation, and autonomous). The multivariate analysis of variance tests found that the students in the four motivational profiles reported different levels in respect for social conventions, respect for rules and teachers, full commitment, and respect for classmates. Discussion/Conclusions: The motivational profiles provided a more comprehensive understanding of the motivational processes for each sportsmanship orientation in secondary school students in physical education.


2014 ◽  
Vol 17 ◽  
Author(s):  
Antonio Méndez-Giménez ◽  
José-Antonio Cecchini-Estrada ◽  
Javier Fernández-Río

AbstractThe main goal was to compare idiographic profiles of achievement goal dominance (AGD) and motivational profiles based on 2x2 achievement goals to improve our understanding of how the four achievement goals work in conjunction with one another, and to discern which profiles are most adaptive in the Physical Education context. A total of 351 students (203 males; 148 females) (M = 14.26 ± 1.37 years) from 3 different secondary schools agreed to participate. 86.6% (N = 303) showed AGD, mostly mastery-approach dominance (62.9%).We examined the four AGD groups’ idiographic profiles and how they relate to certain positive (autonomous motivation and positive affect) and negative variables (controlled motivation and amotivation). The results supported the hypotheses of AGD theory (MANOVA one-way, Wilks’ lambda = .609, F(24, 298) = 7.96, p < .001, η2 = .15). Subsequently, k-means cluster analysis was performed, yielding 4 distinct achievement goal profiles. The most adaptive was named “mastery goals”, while “high achievement goals” were the second most adaptive. AGD participants’distribution across the different motivational clusters was also ascertained (MANOVA one-way, Wilks’ lambda = .678, F(12, 910) = 12.01, p < .001, η2 = .12).


Retos ◽  
2015 ◽  
pp. 34-39
Author(s):  
Dolors Cañabate Ortíz ◽  
Joan Pau Torralba Vicens ◽  
Javier Cachón Zagalaz ◽  
Mª Luisa Zagalaz

El objetivo del estudio ha sido determinar los diferentes perfiles motivacionales que existen en una clase formada por alumnos de 4º, 5º y 6º de primaria. Las variables que se han utilizado para el posterior análisis han sido las metas de logro, la percepción del clima motivacional y de las estrategias que utiliza el docente para mantener la disciplina, las razones para ser disciplinados y los motivos de práctica en las clases de educación física. Se presenta un análisis de los estadísticos descriptivos que permite observar las puntuaciones medias de todas las variables, un análisis de correlación de Pearson, análisis jerárquico de Clúster y análisis multivariado (MANOVAS). El estudio revela la existencia de tres perfiles motivacionales y permite al docente ver la predominancia de razones intrínsecas en una gran parte de alumnos. También se aprecia como el clima motivacional que fomentan los profesores de EF ejerce influencia sobre la manera en que se dan los diferentes comportamientos y actitudes de los alumnos.Palabras clave: Educación Física, Orientación motivacional, percepción, clima y motivación.Abstract: The aim of the study was to determine the different motivational profiles that exist in a class consisting of students from the 4th, 5th and 6th grade. The variables that were used for subsequent analysis were achievement goals, perceived motivational climate and strategies used by teachers to maintain discipline, the reasons for discipline and practical reasons in classes physical education. We present a descriptive statistical analysis that allows to observe the mean scores of all variables a Pearson correlation analysis, hierarchical cluster analysis, hierarchical cluster analysis and multivariate analysis (MANOVAs). The study reveals the existence of three motivational profiles and allows the teacher to see the predominance of intrinsic reasons a lot of students. Also seen as a motivational climate that encourage PE teachers influences the way they give different behaviors and attitudes of studentsKey words: Physical Education, motivational orientation, perception, climate and motivation.


SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110084
Author(s):  
Feifei Han

This study explores the structure of motivation in foreign language (FL) reading among 186 university English language learners (ELLs) in China, and investigated the relations between motivation, strategy use, frequency, and proficiency in FL reading. The data were collected from three questionnaires and the reading section of a mock College English Test (Band 4). The data were analyzed using exploratory factor analysis (EFA), correlation, hierarchical cluster analysis, and t tests. The EFA generated three scales, one for intrinsic motivation (i.e., the Efficacy and Engagement scale) and two for extrinsic motivation (i.e., the Utility Value scale and the Academic Value scale). The correlation analyses showed that only the Efficacy and Engagement scale was significantly correlated with reading proficiency. The cluster analysis identified two groups of students, who differed in the three motivation scales as their motivational profiles. Based on the motivational profiles, differences on strategy use, frequency, and proficiency in English were also observed.


2020 ◽  
Author(s):  
Steven De La Torre ◽  
Donna Spruijt-Metz ◽  
Albert Farias

BACKGROUND Cancer survivors who meet physical activity (PA) recommendations experience better health outcomes and with the growing availability of wearable activity trackers (WATs), it may be easier to track PA. However, it is unknown what motivates cancer survivors for wearing these devices. OBJECTIVE The purpose of this study is to investigate the associations between motivations for exercise, WAT use, and meeting the recommended amount of PA among a cohort of cancer survivors. METHODS Data on WAT users who reported having a cancer diagnosis were analyzed from the National Cancer Institute’s Health Information National Trends Survey (HINTS) 5 Cycle 3. Included were all survivors with complete information on demographics, exercise motivations, WAT use, and minutes of moderate to vigorous PA (MVPA) per week (n=608). To assess exercise motivations, participant’s responses to “why you start/continue exercise regularly” with separate questions asking if the reason was “pressure, appearance, guilt, or enjoyment” were used. Multivariable logistic regression models were used to assess motivational predictors of WAT use and the association between WAT use and meeting the U.S. recommended amount of MVPA. A separate cluster analysis was conducted to identify exercise motivational profiles that were associated with using WATs. RESULTS The mean age of the cohort was 66.9 years (± 12.1). The majority were non-Hispanic white (n = 473, 78%), female (n = 322, 54.9%), and skin cancer was the most commonly reported diagnosed cancer (n = 154, 27.8%). Cancer survivors who used WATs were 1.6 times more likely to meet MVPA recommendations compared to those who did not use WATs (OR: 1.65, 95% CI: 1.03, 2.65) (P=.04). When exercise motivations were assessed independently, cancer survivors who reported not feeling any guilt as a motivation for exercise were 73% less likely to use a WAT compared to those that felt any guilt (OR: 0.27, 95% CI: 0.14, 0.54) (P<.001). Three distinct motivational profiles emerged from the cluster analysis that differed significantly across motivation and class membership. WAT users had an increased probability of membership in a motivational profile characterized as being strongly motivated to exercise by guilt, appearance, and enjoyment (OR: 4.06, 95% CI:1.90, 8.65, P<.001). CONCLUSIONS Among this cohort of cancer survivors, WAT users were significantly more likely to meet PA recommendations. Cancer survivors who reported guilt as an exercise motivation were significantly more likely to use WATs. However, when examining clusters of motivation, WAT users were more likely to be in a profile motivated to exercise by a mix of intrinsic and extrinsic motivations, guilt, enjoyment, and appearance. Given the health benefits of PA for cancer survivors, technology focused interventions that target increasing exercise motivation may increase WAT use and PA participation among cancer survivors.


Author(s):  
Thomas W. Shattuck ◽  
James R. Anderson ◽  
Neil W. Tindale ◽  
Peter R. Buseck

Individual particle analysis involves the study of tens of thousands of particles using automated scanning electron microscopy and elemental analysis by energy-dispersive, x-ray emission spectroscopy (EDS). EDS produces large data sets that must be analyzed using multi-variate statistical techniques. A complete study uses cluster analysis, discriminant analysis, and factor or principal components analysis (PCA). The three techniques are used in the study of particles sampled during the FeLine cruise to the mid-Pacific ocean in the summer of 1990. The mid-Pacific aerosol provides information on long range particle transport, iron deposition, sea salt ageing, and halogen chemistry.Aerosol particle data sets suffer from a number of difficulties for pattern recognition using cluster analysis. There is a great disparity in the number of observations per cluster and the range of the variables in each cluster. The variables are not normally distributed, they are subject to considerable experimental error, and many values are zero, because of finite detection limits. Many of the clusters show considerable overlap, because of natural variability, agglomeration, and chemical reactivity.


Author(s):  
Matthew L. Hall ◽  
Stephanie De Anda

Purpose The purposes of this study were (a) to introduce “language access profiles” as a viable alternative construct to “communication mode” for describing experience with language input during early childhood for deaf and hard-of-hearing (DHH) children; (b) to describe the development of a new tool for measuring DHH children's language access profiles during infancy and toddlerhood; and (c) to evaluate the novelty, reliability, and validity of this tool. Method We adapted an existing retrospective parent report measure of early language experience (the Language Exposure Assessment Tool) to make it suitable for use with DHH populations. We administered the adapted instrument (DHH Language Exposure Assessment Tool [D-LEAT]) to the caregivers of 105 DHH children aged 12 years and younger. To measure convergent validity, we also administered another novel instrument: the Language Access Profile Tool. To measure test–retest reliability, half of the participants were interviewed again after 1 month. We identified groups of children with similar language access profiles by using hierarchical cluster analysis. Results The D-LEAT revealed DHH children's diverse experiences with access to language during infancy and toddlerhood. Cluster analysis groupings were markedly different from those derived from more traditional grouping rules (e.g., communication modes). Test–retest reliability was good, especially for the same-interviewer condition. Content, convergent, and face validity were strong. Conclusions To optimize DHH children's developmental potential, stakeholders who work at the individual and population levels would benefit from replacing communication mode with language access profiles. The D-LEAT is the first tool that aims to measure this novel construct. Despite limitations that future work aims to address, the present results demonstrate that the D-LEAT represents progress over the status quo.


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