A Systems View Across Time and Space
Method/techniques | Sample size criterion |
---|---|
1. How to define the number of samples for factor analysis (Tabachnick and Fidell, 2011) cited in (Pinyo, 2012) | 1) 50 respondents: very bad 2) 100 respondents: bad 3) 200 respondents: acceptable 4) 300 respondents: good 5) 500 respondents: very good |
2. Rule of thumb | 300 samples |
3. How to define the number of samples for factor analysis based on the number of questions or sets of items (Dawson and Trapp, 2001 cited in Pinyo, 2012) | The sample size for factor analysis should be 10 times of the total number of questions |