Respuesta :
Answer:
Content validity
Explanation:
Your friend, Tania, is asking your advice on her new study design. She is conducting a study on whether milk chocolate consumption prior to a memory task will improve recall performance as compared to consuming white chocolate. She decides to include three participants in each group. You tell her that she should likely have more participants or she will lack content validity. Content validity has to do with whether your research subjects or respondents are representative of all aspect of your research construct. Increasing the sample size or the number of replicates per treatment increases the construct validity by increasing the degree of freedom and reducing experimental error. Increasing the sample size will make the study a more representation of the entire study population.
Content validity is used to fill the blank. Content validity is an arithmetic tool that refers to the extent to which a test measures the sample of the subject matter and how well it represents the range of arithmetic operation.
What factor should be considered while taking sample size?
The sample size is a term that is used in research methodology for defining the number the subject included in the sample size. Increasing the sample size represents more of the population and gives more accurate results.
There are three and four factors that are used to calculate the sample size are the effect size, population standard deviation, and the significance level. A good sample size should not be more than 10% of the whole population.
Therefore if Tania includes more participants that will lack content validity.
Learn more about Sample size here:
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