What is the purpose of "Quotas" in a Qualtrics survey?

What is the purpose of "Quotas" in a Qualtrics survey?

• A. To determine the maximum time a respondent can spend on the survey
• B. To limit the number of responses for specific groups to ensure sample diversity
• C. To increase response rates by offering incentives
• D. To customize the layout of the survey

Answer: (B)

The purpose of "Quotas" in a Qualtrics survey is to limit the number of responses for specific groups to ensure sample diversity. Quotas help researchers maintain a balanced representation of different demographics or characteristics in the survey data. For example, if a survey seeks insights from a specific mix of gender, age, or geographic location, setting quotas allows the researcher to control how many participants fall into each of these categories. This ensures that the final data reflects the diversity of the overall population, providing more reliable and applicable results. Using quotas can also prevent over-representation of certain groups and ensure that the findings are more generalizable. This mechanism is crucial in research, where the aim is often to understand patterns and behaviors in a population as a whole. Hence, implementing quotas is a strategic approach to enhance the validity and comprehensiveness of the research findings.

The purpose of "Quotas" in a Qualtrics survey is to limit the number of responses for specific groups to ensure sample diversity. Quotas help researchers maintain a balanced representation of different demographics or characteristics in the survey data. For example, if a survey seeks insights from a specific mix of gender, age, or geographic location, setting quotas allows the researcher to control how many participants fall into each of these categories. This ensures that the final data reflects the diversity of the overall population, providing more reliable and applicable results.

Using quotas can also prevent over-representation of certain groups and ensure that the findings are more generalizable. This mechanism is crucial in research, where the aim is often to understand patterns and behaviors in a population as a whole. Hence, implementing quotas is a strategic approach to enhance the validity and comprehensiveness of the research findings.