Prepare the data for quantitative analysis. The data preparation process involves a) data validation; b) editing and coding; c) data entry; and d) data tabulation.

2)Investigate 'data validation' by continuing to read Chapter 10 in your textbook. Validation determines whether survey's interviews were conducted correctly and free of fraud and bias.

3)Editing raw data is checked for mistakes made by either the interviewer or the respondent. Check areas of concern by asking proper questions, obtaining an accurate recording of open-ended questions and by correcting screening respondents that fit your sample.

4)Curb stoning- Refers to cheating or falsification in the data collection process. Define strategies to avoid curb stoning and other issues in your data collection process.