Research Topics:

Quantitative Research

Content Type:

Glossary

Casewise Deletion Definition

When an entire questionnaire from a respondent is removed from the analysis because some of the questions have not been completed.

Casewise deletion is the practice of excluding particular observations or data points from analysis because of missing or incomplete information. In some cases, an entire questionnaire from a respondent is deleted because some questions were not completed. Casewise deletion is vital because it helps maintain data quality and integrity. It permits researchers to handle missing data effectively, thus minimizing the risk of biased analyses. That said, it is critical that casewise deletion is used judiciously because indiscriminate removal of cases can also introduce bias. Casewise deletion involves removing cases, or rows, with missing data before conducting statistical analyses. The decision to delete cases is made based on the assumption that the missing data is missing at random.

Who uses casewise deletion?

Researchers, analysts and marketing professionals involved in market segmentation, consumer behavior analysis and product performance evaluation use casewise deletion. This technique ensures that study findings and conclusions are based on complete and accurate data.

Why should I care about casewise deletion?

Casewise deletion is essential for ensuring the validity of research outcomes and enhancing the credibility of marketing insights. Incomplete data can lead to biased or inaccurate conclusions, which can result in misguided marketing strategies and resource allocation.