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A Systems View Across Time and Space

Table 2 Sample size criterion of confirmatory factory analysis

From: The study of the causal relationship between innovativeness and entrepreneurial intention among undergraduate students

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