Round 2 Lecture 1 Flashcards
How to Determine Sample Size
1) Heuristics ( 100/group, Minimum of 20 to 50 per subgroup, Disproportionate sampling)
2) Budget constraints( Sample size = total budget/cost per subject)
3) Previous Research
4) Formal Statistics
precision
the size of the estimating interval
confidence
the degree of certainty that the true value falls within the estimating interval
formal statistics
trade off btw precision and confidence
Confidence interval for a population mean is:
X + Z* (s / sq. rt n)
T =
margin of error you are willing to tolerate, i.e.,
zone around sample mean where population mean lies, or half CI width
T = (equation)
z * (s / sq. rt. n)
Three pieces of information are needed for estimating for a mean sample size
- Margin of error T (zone around sample mean where population mean lies)
- Your confidence level
For 90% confidence, z = 1.645 For 95% confidence, z = 1.96 For 99% confidence, z= 2.575 - Estimate of the population standard deviation (SD) s
Estimating the population SD
Review prior research Conduct a pilot study
Use conservation guesses
conservation guess for 5-item rating/Likert scale
use s=1.4
conservation guess for 7-item rating/Likert scale
use s=2
conservation guess for 9, 10, 11-item rating scale
use s=3
conservation guess for responses measured by ratio scales
use s=range/4
Three pieces of information are needed for estimating a proportion sample size
- Margin of error T
- Confidence level
For 90% confidence, z = 1.645 For 95% confidence, z = 1.96 For 99% confidence, z= 2.575 - Estimate of the population proportion p
Estimating the Population Proportion p
Review prior research
Find secondary data (e.g., US census) Conduct a pilot study
Make an informed guess
Use the most conservative guess: p=0.5