👉 Respondent engineering refers to the strategic manipulation of a respondent's behavior, responses, or answers in an experiment or survey to elicit specific information or outcomes that might not naturally occur. This can involve techniques such as priming the respondent with certain cues, structuring questions to guide their answers, or using social desirability bias to encourage more socially acceptable responses. The goal is often to improve the validity and reliability of the data collected by ensuring that the responses accurately reflect the intended constructs or phenomena being studied, rather than being influenced by external factors or the respondent's own biases.
