Researchers have served questionnaires to varying numbers of respondents in the past. However, I recently wondered if there is a particular number that is most acceptable by location, objective or even situation. What is the practice in your field?
It does matter in my opinion, you may calculate your sample size using free software - G Power analysis
Hope it helps a bit, good luck
The appropriate sample size depends on a number of factors. Most basically, when you say 'survey research,' this is normally qualitative in nature, for which one can calculate sample size through use of power analysis, as Witold Orlik suggested. However, some survey research is qualitative in nature. Sometimes the objective is to either pretest a questionnaire (either newly developed, of for a new population), or to carry out a more intensive form of in-depth qualitative interviewing than is obtained through a quantitative, standardized instrument. For qualitative studies, the final sample size may not be known at the beginning of data collection, and determined through the process of achieving saturation of results -- where the collection of additional data no longer provides additional clarity or insight.
I agree that it depends on whether you are doing statistical analyses, in which case larger samples improve the power of your tests (i.e., their ability to detect significant results). In addition, if you re trying to estimate a value in a broader population, then the accuracy of that estimate will also be improved with a larger sample.
In my opinion, there is no specific figure for the no of respondent. As long as you can justify the reason for the numbers that was selected. Of course bigger sampling size is better for statistical analysis..
I think it depends on the margin of error and the confidence level that the researcher wants to have. The more the confidence level is high and the margin of error is low, the more the sample size should be high.
As noted above, larger sample size gives you greater power and the ability to conduct more complex statistical tests (i.e., use more variables, interactions terms). Equally important is the quality of the sample, especially if you are wanting to generalize the results to the population from which the sample was drawn.
The higher the sample size, the higher the power of the test and the better the external validity of the research findings.
Survey research generally accepts for quantitative studies, therefore, it is ideal to achieve a number of respondents exceeding 200. However, if you use PLS-SEM, this must be applied to 10 times rules. Nevertheless, in order to get a statistical significance, always better to go for at least 200 samples.
You need to determine the sample size statistically using appropriate sample size formula relevant to your study design
As a rule of thumb, one should use multiplier of minimum five to determine the sample size i.e. if you are having 30 questions in your questionnaire multiply it with 5 = 150 responses (minimum). https://www.researchgate.net/post/How_many_respondents_are_required_for_conducting_a_research_paper
Although, Survey research generally accepts for quantitative studies, therefore, it is ideal to achieve a number of respondents exceeding 200. However, if you use PLS-SEM, this must be applied to 10 times rules. Nevertheless, in order to get a statistical significance, always better to go for at least 200 samples. https://www.researchgate.net/post/What_is_the_appropriate_number_of_respondents_to_participate_in_a_survey_research_Or_does_it_not_matter
How many questions and respondents are ideal for a quantitative study for factors analysis?
To have a good sample size. Using multiplier of 10 e.g. for questionnaire having 30 questions/items multiplier of 10 will determine 300 good sample size
It all depends on the central focus and objective of your study. I doubt if there's a hard and facts number that should make up your respondents in a study. If you're studying how a corporate organisation intervened in the COVID-19 through its CSR, you probably don't need more than five respondents from the company. Every other data needed will be secondary data from the company's web and Annual Report & Accounts.
I have 380 respondents for quantitative analysis and I need qualitative analysis to support my research I want to know how much Interview should be conducted?
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