## What is an appropriate sample size for research?

A good maximum sample size is usually 10% as long as it does not exceed 1000. A good maximum sample size is usually around 10% of the population, as long as this does not exceed 1000. For example, in a population of 5000, 10% would be 500. In a population of 200,000, 10% would be 20,000.

**How many respondents should a case study have?**

Most recent answer The minimum participants recommended is 30 to have a reliable research outcome.

### How do you do respondents in research?

Here are some tips in order for you to gather enough respondents for your dissertation survey:

- Identify who your respondents are.
- Create a well-designed survey.
- Send out a personalized invite.
- Use your mobile device.
- Maximize your social media.
- Incentivize your survey.
- Use online research panels.

**Is Chi-Square affected by sample size?**

First, chi-square is highly sensitive to sample size. As sample size increases, absolute differences become a smaller and smaller proportion of the expected value. Generally when the expected frequency in a cell of a table is less than 5, chi-square can lead to erroneous conclusions. …

#### Does chi-square depend on sample size?

The chi-square test is sensitive to sample size. The chi-square test cannot establish a causal relationship between two variables.

**When should chi square be used?**

The Chi Square statistic is commonly used for testing relationships between categorical variables. The null hypothesis of the Chi-Square test is that no relationship exists on the categorical variables in the population; they are independent.

## How do you interpret chi square value?

For a Chi-square test, a p-value that is less than or equal to your significance level indicates there is sufficient evidence to conclude that the observed distribution is not the same as the expected distribution. You can conclude that a relationship exists between the categorical variables.

**Is Chi-square symmetric?**

Chi-square is non-symmetric. There are many different chi-square distributions, one for each degree of freedom.