A Study of Free Time Management, Leisure Benefits and Perceived Training Effects of Division A Baseball Players in Taiwan

碩士 === 臺北市立教育大學 === 體育學系碩士班 === 99 === The purposes of the study were to use the questionnaire “The free time management, leisure benefits and perceived training effects for Division A baseball players in Taiwan” to explore the demographic differences which were statistically analyzed on 500 r...

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Bibliographic Details
Main Authors: Lin Ting-Yi, 林庭逸
Other Authors: Chang Chih-Man
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/34649532628033412649
Description
Summary:碩士 === 臺北市立教育大學 === 體育學系碩士班 === 99 === The purposes of the study were to use the questionnaire “The free time management, leisure benefits and perceived training effects for Division A baseball players in Taiwan” to explore the demographic differences which were statistically analyzed on 500 random cluster samples. The results of this research were as follows: 1. The study found that the free time management factors were immediate response, planning, application and value concept. Leisure benefits factors were psychology and physiology, sociality and intellectuality. Perceived training effects factors were physical fitness, tactical, and psychology. 2. Majority Division A baseball players were college students, under 22 years-old with averaged of 2 to 4 years of amateur baseball playing experience. The majority players were the university players rather than high school players. The average monthly income was NT 15,000 dollars. The primary position of the players was pitcher. Majority of the players were not members of the national team, and average free time was less than 5 hours per day. Players’ weekly training hours were less than 24 hours and more than 25 hours by half each. 3. Free time management factors were in order of: value concept, immediate response, planning and application. Statistically differences were found among team type, age, amateur years, weekly training hours, and daily free time. 4. In terms of leisure benefits factors, psychology and physiology were more significant than sociality and intellectuality. Sociality was also more significant than intellectuality. Statistically differences were found among age, amateur years, education, monthly average income, national-team experience, and weekly training hours. 5. In terms of perceived training effects, tactical was more significant than psychology and physical fitness. Psychology was more significant than physical fitness. Statistical differences were found among team type, age, amateur years, position, national-team experience, and daily free time. 6. The relationships among free time management, leisure benefits, and perceived training effects were positive and medium correlations. Free time management accounted for 26% of the variability in predicting the perceived training effects. On the other hand, leisure benefits account for 31% of the variance in predicting the perceived training effects.