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# Research into Sports Participation. This graph represents the total hours per week spent on other activities linked to their sport, the most common is 1 hour spent on other activities,

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19-5N01-00L

Research Methods                                                                            Oliver Sharp

Research Methods; Data Analysis

This graph represents the total hours per week spent on other activities linked to their sport, the most common is 1 hour spent on other activities, but surprisingly 33 people do not spend any other time on other activities. (mode=1)

Girls

This graph represents the total hours per week spent in competition or matches. 1 hour per week was top with 20 girls. 9 girls participated for 2 hours and 5 girls for zero hours.
(mean = 6.33), (std. dev= 7.420)

Boys

This histogram represents the total hours spent per week in competition. The highest amount per week was also 1 hour with 17 boys.
(mean = 6.5), (std. dev= 7.867)

 Gender Clothing Equipment Travelling Coaching Other Male 4 10 8 7 8 Female 10 2 22 2 2

This table shows that there is a vast difference in answers between the two genders. For example, female's most common largest expense was travelling with 22 answers whereas males answered equipment more often with 10. Also males less common answer was clothing with 4 whereas females chose coaching, equipment and other the least all with 2 answers.

The bar chart is a comparison between male and female responses to how they rated the amount of coaching they received per week. The majority of the boys and girls said it was too much, however more boys than girls said it was too little.

 Ages Mean Median Mode Standard Deviation Girls 193.79 195.00 195 5.438 Boys 190.38 191.00 189 7.889

This table simply shows the mean, median and mode and standard deviation of the age in months between all the males and females that took part in the survey.

Girls

The pie chart shows the girls rating of coaching quality. It shows the majority thought just OK and only 3% thought it wasn't good enough.

Boys

This pie chart shows the males responses. It shows that the majority thought it was OK with 70% and only 22% thought it was excellent.

 Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent q5 * q6 75 100.0% 0 .0% 75 100.0% q5 * q6 Crosstabulation Count q6 1 2 3 Total q5 Too Much 15 25 0 40 OK 4 10 3 17 Too little 4 13 1 18 Total 23 48 4 75

This cross tabulation represents the responses of question "how do you rate the amount of coaching you receive per week?" against "how do you rate the quality of coaching you receive?" OK was the most popular answer for quality of coaching with 25 people agreeing who also answered they had too much coaching per week.

 Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent q9 * q8b 75 100.0% 0 .0% 75 100.0%
 q9 * q8b Crosstabulation q8b 1 2 3 Total q9 positive Count 11 24 2 37 Expected Count 9.4 23.7 3.9 37.0 neutral Count 6 8 4 18 Expected Count 4.6 11.5 1.9 18.0 negative Count 2 16 2 20 Expected Count 5.1 12.8 2.1 20.0 Total Count 19 48 8 75 Expected Count 19.0 48.0 8.0 75.0
 Chi-Square Tests Value df Asymp. Sig. (2-sided) Pearson Chi-Square 7.695a 4 .103 Likelihood Ratio 7.941 4 .094 Linear-by-Linear Association 2.294 1 .130 N of Valid Cases 75 a. 4 cells (44.4%) have expected count less than 5. The minimum expected count is 1.92.

This table shows that out of the 75 people questioned 37 of them thought the school was good for sport. Out of that 37 11 of them agreed that it was excellent for playing matches. 18 people had a neutral response, answers split across excellent, ok and not good enough. The remaining 20 responded negatively. The chi-square test is used for estimating how closely an observed distribution matches an expected distribution. In this case backing up the hypothesis.

 GCSE * q5 Crosstabulation q5 Too Much OK Too little Total GCSE not exam year Count 6 9 10 25 Expected Count 13.5 5.4 6.1 25.0 exam year Count 34 7 8 49 Expected Count 26.5 10.6 11.9 49.0 Total Count 40 16 18 74 Expected Count 40.0 16.0 18.0 74.0
 Chi-Square Tests Value df Asymp. Sig. (2-sided) Pearson Chi-Square 13.733a 2 .001 Likelihood Ratio 14.182 2 .001 Linear-by-Linear Association 11.200 1 .001 N of Valid Cases 74 a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 5.41.

Of 75 people 25 of them were not in their exam year and therefore not taking GCSEs. 10 of these said the amount of coaching received was too little, however 6 said it was too much. 34 people who are in their exam year believed the coaching received to be too much, possibly because they need more time to study for exams and not play sport. This is what the chi-square test is showing.

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1. ## IVA ethics and values task 2

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2. ## The Sports Industry

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3. ## Female Participation in Sport

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6. ## Outdoor and Adventurous Activities - risks, percieved and actual

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7. ## sports coaching logbook

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8. ## UNIT 13 : PRINCIPLES OF COACHING

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