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Imputed response Definition

A substitute for a missing response that is based on the pattern of other responses from a survey respondent.

An imputed response is a statistically estimated value used to replace a missing answer in a dataset. In marketing research, it ensures complete data for analysis when respondents skip or fail to answer certain survey questions.

What are the key aspects of an imputed response in marketing research?

• Used to maintain dataset integrity.
• Involves statistical techniques such as mean substitution, regression imputation or multiple imputation.
• Helps prevent bias introduced by nonresponse.
• Allows for inclusion of more cases in analysis.
• Often flagged in datasets for transparency.

Who relies on imputed responses in marketing research?

• Data analysts and statisticians.
• Survey methodologists.
• Market research firms conducting large-scale studies.
• Academic researchers.
• Insights professionals preparing client reports.

Why are imputed responses important in market research?

Imputed responses help maintain the validity and reliability of research findings. Without imputation, missing data can reduce sample sizes, distort results and limit the ability to make accurate conclusions or recommendations.

How do market researchers use imputed responses?

Researchers apply imputation methods during data cleaning to fill in missing responses. These values are then used in statistical models, segmentation analysis and reporting, ensuring the analysis reflects a more complete and usable dataset.