Oct 10 - Sample size Flashcards
Methods of determining Sample Size
Confidence Interval Approach
1) Variability
2) Confidence Interval - Probability that the true population is included in the range
(z - lvl of confidence - 1.96 or 2.58
3) Sampling Distribution
4) Standard error of a µ or %
Standard error of a µ
An indication of difference between a sample value and the true population value
SEµ = sigma sample ÷ sqrt {n}
Standard error of a %
use this for sample size calculation
Sp= SQRT {(p*∂)/n}
With ∂ = 1-p
Computing Sample Size using the Confidence Interval Approach
A) We need: Variability (%) Conf lvl z (e.g. 1.96) Acceptance error (+/- 3%) n = {z^2 *p*∂}/ AE
B) Estimating Sample size determinant
a) Variability: Percentage
b) Desired Accuracy (acceptable error) +/-3%
c) 95% or 99% confidence lvl is standard
95% industry norm
Sample size, using a percentage
n = {z^2 p∂}/ AE
AE ~ 0.03
ALWAYS ALWAYS ALWAYS 0.03
B) Estimating Sample size determinant
a) Variability: Percentage
b) Desired Accuracy (acceptable error) +/-3%
c) 95% or 99% confidence lvl is standard
95% industry norm
Special sample size determination situations
- The formula is not good for nonprobability sampling
- Still good benchmark for the sample size justification
Non-Sampling Errors
Include errors from: Nonresponse, Data gathering, Data handling, Data analysis and Interpretation
Non-Sampling Errors - Field Workers
Intentional: Cheating - Leading respondents
Unintentional: Misunderstanding - Fatigue - Interviewer characteristics
Non-Sampling Errors - Respondents
Intentional: Falsehoods Refusals Nonresponse
Unintentional: Misunderstanding - Attention loss - Distractions - Guessing - Fatigue
Control Measures Fields Workers
Intentional:
Tight supervision and monitoring
Validation of respondents’ response
Unintentional:
Orientation and training sessions
Roleplaying
Breaks
Control Measures Respondents
Intentional:
Anonymity, confidentiality, Incentive, validation checks, “third-person” technique
Unintentional: Well-drafted questionnaire Instructions/examples; Reversals of scale endpoints; Use of prompters