BU422 Chapter Notes - Chapter 11: Non-Sampling Error, Data Analysis
Document Summary
Chapter 11: dealing with fieldwork and data quality issues. Data collection and nonsampling error: nonsampling error: consists of all errors in a survey except those due to the sample plan and sample size, nonresponse errors, data-gathering errors, data-handling errors, data analysis errors. Interpretation errors errors in problem definition, question wording, etc: larger potential for nonsampling error during the data collection stage in a survey. Possible errors in field data collection: fieldworker error: committed by individuals who administer questionnaires (interviewers) Intentional fieldworker errors: intentionally violating data collection requirements that the researcher sets out. Interviewer"s personal characteristics: accent, demeanor, gender, etc. can unintentionally be a source of bias or cause differences in answers, fatigue: when an interviewer becomes tired and causes mistakes in entering answers, recording etc, respondent error. Incentives: validation checks: when information provided by a respondent is confirmed during the interview, third-person technique: rephrase question using third-person for embarrassing or personal questions.
