Thesis (M.S.)--Springfield College, 2003. / Includes bibliographical references.

Thesis (Ph. D.)--University of Illinois at Urbana-Champaign, 2004. / Includes bibliographical references (leaves 170-181).

Thesis (M.A.)--University of North Carolina at Chapel Hill, 2005. / Includes bibliographical references (leaves 93-97). Also available online (PDF file) by a subscription to the set or by purchasing the individual file.

Thesis (M.A.)--University of North Carolina at Chapel Hill, 2005. / Includes bibliographical references (leaves 93-97).

Thesis (M.Ed.)--Texas State University--San Marcos, 2008. / Vita. Appendix: leaves 48-56. Includes bibliographical references (leaves 57-65). Also available on microfilm.

Orientador: Paulo Roberto de Oliveira / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Educação Fisica / Made available in DSpace on 2018-08-08T02:55:10Z (GMT). No. of bitstreams: 1 Moreira_Alexandre_D.pdf: 2867917 bytes, checksum: 55a841d1db06bfd904ccac3ba7311075 (MD5) Previous issue date: 2006 / Resumo: o presente estudo buscou investigar o efeito de três diferentes modelos de estruturação da carga de treinamento e competição em basquetebolistas. A amostra foi composta por 32 atletas, adultos, do sexo masculino, da divisão principal (AI), que foram divididos em três grupos (Modelos) com média e desvio padrão para idade de: Modelo de cargas seletivas (MS) (N = 9); 25,22:!:3,56 anos; Modelo de cargas concentradas (MCON) (N=IO); 23,90:!:3.90anos e Modelo de cargas complexas (MCX) (N=13); 23,85:!:3,29 anos. O macrociclo de treinamento foi composto por uma etapa preparatória (EP) e uma etapa de competição (EC), com 6 (seis) semanas para EP nos três Modelos, 18 semanas para EC no MS e MCX e 16 para o MCON. Os testes de controle foram realizados no início da etapa preparatória (TO), ao final da etapa preparatória (TI), ao final da primeira metade da etapa de competição (T2) e ao final da segunda metade da etapa de competição (T3). Os marcadores funcionais externos foram observados a partir dos seguintes testes de controle: salto vertical com contramovimento (SV), salto horizontal saindo parado (SHP), salto horizontal triplo consecutivo lado direito (STCD) e lado esquerdo (STCE), teste T adaptado (C40) e Yo-Yo intermittent endurance test (YO-YO). Utilizou-se da ANOVA para medidas repetidas a fim de testar a hipótese de que os três modelos apresentavam a mesma distribuição nos quatro momentos, bem como analisar a hipótese de igualdade nos quatro momentos para cada modelo. O teste post-hoc HSD de Tukey foi utilizado quando necessário. O nível de significância foi estabelecido em 5%. Em caso de violação do pressuposto de esfericidade, a significância foi estabelecida utilizando-se do procedimento de Greenhouse- Geisser. No momento TO e T3 se aceitou a HO de que não existiu diferença para nenhum marcador funcional externo (teste de controle) entre os modelos (P > 0.05), no tocante aos valores brutos. Para TI e T2, diferenças estatisticamente significantes (P < 0.05) somente para C40. O resultado do teste HSD de Tukey mostrou que o MS se diferenciava em TI, tanto do MCON quanto do MCX (P < 0.05). Não foi identificada diferença entre MCON e MCX neste instante. Em T2, diferentemente do resultado encontrado para TI, o MCX se diferenciou de MCON e MS (P < 0.05). Quanto ao efeito do tratamento (magnitude de alteração percentual), verificou-se dinâmica diversa entre os modelos estudados, o que parece refletir a distribuição do conteúdo de treinamento para cada etapa. Os resultados demonstram a eficácia de utilização dos três modelos investigados, entretanto, sugerem também, que diferentes respostas de adaptação podem ser esperadas, tanto no tipo (positiva e negativa), quanto em magnitude, em função da característica de distribuição das cargas. O MCX parece induzir magnitudes de alteração superiores aos demais modelos, com exceção do STCD, quando comparados os momentos TOe T3 / Abstract: The present study had as objective to investigate the effect ofthree different structuring load training and competition models in basketball players. The sample was composed of 32 male adult athletes ITommain league (AI), and divided into three groups (Models): selective loads Model (MS) (N = 9); 25,22i: 3,56 years; concentrated loads Model (MCON) (N=1O);23,90i:3.90 years and complex loads Model (MCX) (N=13); 23,85i:3,29 years. The macrocycle was composed of a preparatory stage (EP) and a competition stage (EC), with 6 (six) weeks to EP at all models, 18 weeks to EC at MS and MCX and 16 at MCON. The tests were applied in the beginning ofEP (TO),in the end ofEP (TI), end of first half ofEC (T2) and end ofEC (T3). The external functional markers were observed by the following tests: countermovement vertical jump (SV), horizontal jump (SHP), horizontal consecutive triple jump - right side (STCD) and left side (STCE), T test (C40) and Yo-Yo intermittent endurance test (YO-YO). eatedmeasures ANOVA was used. The post-hoc HSD Tukey test was used when necessary. The 0.05 leveI adopted for statistical significance. For those cases violating the assumption of equal variance, significance was established using the Greenhouse-Geisser procedure. At moments TO and T3 the HOof no significant difference between Models for alI tests was accepted (P > 0.05). At TI and T2, there was significant difference (P < 0.05) only for C40. Pairwise comparisons (HSD Tukey) indicated that the differences were between MS and MCON, MS and MCX (P < 0.05). At T2, the differences were between MCX and MCON, MCX and MS (P < 0.05). There were differences in the effect of the treatment (magnitude of alteration); distinct dynamics between models was showed, what seems to reflect the distribution of load training at each stage. The results also showed the effectiveness of the three investigated Models, however, it also suggests that different adaptation responses could be expected, for type (positive and negative) and magnitude, and these responses would be model-dependent. The MCX showed greatest magnitudes of alteration between TO-T3, except for STCD / Doutorado / Ciencia do Desporto / Doutor em Educação Física

The purpose of this study was to identify and to compare leadership styles of successful and unsuccessful collegiate women basketball coaches. Subjects for the study consisted of 1981-1982 collegiate women basketball coaches from Region 2 and Region 3 of the Association for Intercollegiate Athletics for Women (AIAW). Providing structure for the study were ten research questions addressing the success and failure of women coaches. The research questions not only produced information regarding collegiate women basketball coaches, but also made comparisons between two levels of coaches--the successful and unsuccessful coach. The following research instruments were used in this study: (1) the Leadership Ability Evaluation (LAE), (2) the Coaches' Demographic Questionnaire, and (3) the Coaches' Leadership Evaluation (CLEQ). Questionnaires were mailed to 100 women basketball coaches from the nine states of Region 2 and Region 3. Seventy-seven percent of the coaches marked and returned the questionnaires. Sixty-two percent of the questionnaires were in usable form. The coaches were placed into two groups according to their collegiate winning percentages. Coaches with percentages above .500 were termed successful coaches while those with a percentage of .500 and below were termed unsuccessful coaches. Upon completion of data collection, the data were coded and verified for processing. The Statistical Analysis System (SAS) was used to facilitate analysis. The number of percentage of responses were tabulated from the two groups according to each of the four leadership styles measured by the LAE and the three dimensions measured by the CLEQ. The data from the LAE were compared to national norms contained in the test manual. Pearson Product Moment correlation coefficients were also computed between winning percentages and LAE scores. The t—test for a difference between two independent samples was used for LAE and CLEQ mean scores. Frequency and percentages were tabulated for the demographic data. On the basis of these analyses, the following conclusions were drawn: 1. successful and unsuccessful women collegiate coaches employ basically the same leadership styles. 2. the percentages of successful coaches were similar to the percentages of unsuccessful coaches in each leadership style. 3. the successful and unsuccessful coaches possessed neither high nor low degrees of leadership qualities when compared to national norms. 4. personal demographic data for successful and unsuccessful coaches were not conclusive in indicating leadership style or successful coaching. / Ed. D.

The investigator became interested in the status of basketball goal shooting in modern girls' basketball as compared to that of boys' goal shooting. Types of shots, their frequency and accuracy, and the zones on the court from which they were taken, were all considered as components of the status of basketball goal shooting. It was on the basis of this interest that the present study was undertaken.

Thesis (Ph. D.)--Oregon State University, 1984. / Typescript (photocopy). Includes bibliographical references (leaves 90-97). Also available on the World Wide Web.

Background: Sustaining a hydration state and energy status during competition is important for athletes, yet there is no current evidence in the literature that halftime hydration and snacking practices of basketball and football players have been assessed. Under ideal circumstances, proper hydration and food consumption practices should be followed by basketball and football players before, during and after practices and competitions because both sports involve fast rate of energy utilization with a concomitant increase in sweat production. Objectives: This study aimed to improve our understanding of the halftime hydration and snacking practices used by basketball and football players at the collegiate and professional levels. Methods: A total of 122 subjects filled out a halftime habit survey. The survey was completely anonymous to protect the identity of the athletes participating in the study. Athletic trainers and coaches of basketball and football teams, athlete agents, other athletic team employees, and players were contacted and provided with copies of a questionnaire to distribute to athletes. Data were analyzed using PASW Statistics 18. Data for height and weight were analyzed using descriptive statistics and all remaining data were analyzed using crosstabs and included a Chi Square Test. Results: Of the beverages consumed by the 122 athletes surveyed, there was a statistically significant difference between sports in the consumption of Gatorade (n=89, p-.045), Powerade (n=41, p<.001), Powerade Zero (n=1, p=.020), and water (n=96, p=.049). There was a statistically significant difference between sports in the consumption of energy bars (n=62, p=<.001) and fresh fruit (n=41, p=.033). There was a statistically significant difference between sports in the purchase of snacks for halftime (p=.004) and the frequency of halftime snacking habits (p<.001). There is a statistically significant difference between sports in the halftime recommendations of teams for both hydration (p<.001) and snacking (p<.001). There is a statistically significant difference among sports in the influence of first half drinking practices on halftime hydration habits (p=.035). There is a statistically significant difference among sports in the extent of weight lost during a game (p<.001). Conclusions: The results of this study show that athletes have the time and resources to drink and snack a the halftime break to replenish glycogen stores and rehydrate for the second half of the game. Athletes, whether by recommendation or by habit, consume a variety of beverages and snacks during the halftime breaks of games. It is still uncertain as to whether or not these hydration and snacking habits actually replenish glycogen stores and rehydrate the athletes for the second half of games. Future studies should be done to determine whether the hydration and snacking habits are maintaining hydration and sustaining blood glucose for better performance.