MSU Sports Interests Objectives

1
MSU Sports InterestsObjectives

• Measure student participation in various sports
  on and off -campus
• Measure student interests in participation for
  different activities levels of competition
• Compare partic interests of men and women

2
Population/Sample

• All MSU students enrolled spring semester 1978
• Stratify sample by class standing
• seek sample of 200 men, 200 women
• assume 67 response rate
• mail out 600 surveys

3
Variables/Info needed

• Gender, age, class
• Participation in sports
• ever, last year, on campus
• 40 activities
• Interests in sports partic on campus
• 40 activities
• levels of competition

4
Data gathering

• Self-administered
• mailed 4 page questionnaire
• no follow-ups

5
STEPS IN A SURVEY
1. Define problem and study objectives 2.
Identify information needs study
population(s) 3. Determine basic
design/approach - cross sectional vs
longitudinal - on-site vs household vs other -
self-admin. vs personal interview vs phone -
structured or unstructured questions 4.
Questionnaire design 5. Choose sample (frame,
size, sampling design) 6. Estimate time,
costs, manpower needs, etc.
6
Survey Implementation
7. Proposal Human subjects review 8.
Line up necessary resources 9. Pre-test
instruments and field procedures 10. Data
gathering and follow-up procedures 11. Coding,
cleaning and data processing 12. Analysis
preliminary, then final. 13. Communication and
presentation of results.
7
Sampling error formula

• n Z2 ?2 / e 2
• 1. Solve for e to express error as a function of
  sample size, confidence level, and variance
• e (Z ?) / SQRT ( n )
• 2. For binomial, ? sqrt (p(1-p)) , where p
  is proportion for yes in
• the population
• Generate numbers in binomial sampling error
  table as
• 1.96 sqrt( p (1-p)) / sqrt (n)

8
Sampling errors for binomial (95 confidence
interval)percent distribution in population
9
Sample problems

• From binomial table Survey with sample of 400
  estimates 32 of sample have visited park X. Find
  95 confidence interval for population estimate.
• Using formula Same survey (n400) estimates
  average number of visits per year to be 5.6. If
  standard deviation in sample is 4, find 95 CI
  for this estimate.