 # Quick Answer: What Is The Acceptable Sample Size Percentage?

## What is a statistically valid sample size?

Statistically Valid Sample Size Criteria Probability or percentage: The percentage of people you expect to respond to your survey or campaign.

Confidence: How confident you need to be that your data is accurate.

Margin of Error or Confidence Interval: The amount of sway or potential error you will accept..

## How many participants do I need calculator?

All you have to do is take the number of respondents you need, divide by your expected response rate, and multiple by 100. For example, if you need 500 customers to respond to your survey and you know the response rate is 30%, you should invite about 1,666 people to your study (500/30*100 = 1,666).

## How do you know if a sample size is statistically significant?

Generally, the rule of thumb is that the larger the sample size, the more statistically significant it is—meaning there’s less of a chance that your results happened by coincidence.

## What is a good sample size for a quantitative study?

If the research has a relational survey design, the sample size should not be less than 30. Causal-comparative and experimental studies require more than 50 samples. In survey research, 100 samples should be identified for each major sub-group in the population and between 20 to 50 samples for each minor sub-group.

## What percentage response rate is statistically valid?

Response rates approximating 60% for most research should be the goal of researchers and certainly are the expectation of the Editor and Associate Editors of the Journal. For survey research intended to represent all schools and colleges of pharmacy, a response rate of ≥ 80% is expected.

## Does sample size matter in quantitative research?

That’s your sample size–the number of participants needed to achieve valid conclusions or statistical significance in quantitative research. … When sample sizes are too small, you run the risk of not gathering enough data to support your hypotheses or expectations.

## What is the minimum sample size for regression analysis?

For example, in regression analysis, many researchers say that there should be at least 10 observations per variable. If we are using three independent variables, then a clear rule would be to have a minimum sample size of 30. Some researchers follow a statistical formula to calculate the sample size.

## What is highly reliable outcome in quantitative research?

Highly Reliable Outcome The outcome of quantitative research methods is quite reliable, as participants of the research face close-ended questions. Therefore, there are fewer chances of getting vague information or wrong information from the participants.

## Is 30 a good sample size?

The Large Enough Sample Condition tests whether you have a large enough sample size compared to the population. A general rule of thumb for the Large Enough Sample Condition is that n≥30, where n is your sample size.

## How many participants are in phenomenology?

For phenomenological studies, Creswell (1998) recommends 5 – 25 and Morse (1994) suggests at least six. These recommendations can help a researcher estimate how many participants they will need, but ultimately, the required number of participants should depend on when saturation is reached.