Which factor most directly influences consistency of data across participants during a survey?

Which factor most directly influences consistency of data across participants during a survey?

• A. Training of interviews
• B. Participant recruitment
• C. Data analysis
• D. Instrument design

Answer: (A)

Interviewer training is the key factor that most directly promotes consistency across participants in a survey. When interviewers are well trained, they deliver questions in a standardized way, use the same prompts or probes, follow the same skip patterns, and record responses with uniform procedures. This minimizes interviewer effects and measurement error that can occur if different interviewers paraphrase questions, emphasize certain responses, or vary in how they prompt or clarify, leading to data that reflects how the administration was done more than what participants truly think. Recruitment affects who participates and potential selection bias, not the day-to-day consistency of how questions are asked. Data analysis shapes how responses are interpreted after collection, not how consistently they were gathered. Instrument design matters—having clear, well-constructed questions helps—but without consistent administration, even a strong instrument can yield inconsistent data.

Interviewer training is the key factor that most directly promotes consistency across participants in a survey. When interviewers are well trained, they deliver questions in a standardized way, use the same prompts or probes, follow the same skip patterns, and record responses with uniform procedures. This minimizes interviewer effects and measurement error that can occur if different interviewers paraphrase questions, emphasize certain responses, or vary in how they prompt or clarify, leading to data that reflects how the administration was done more than what participants truly think.

Recruitment affects who participates and potential selection bias, not the day-to-day consistency of how questions are asked. Data analysis shapes how responses are interpreted after collection, not how consistently they were gathered. Instrument design matters—having clear, well-constructed questions helps—but without consistent administration, even a strong instrument can yield inconsistent data.