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Treatment Fidelity in Surveys: Ensuring Consistency & Accuracy in Data Collection
You need valid and reliable data to make insightful conclusions and recommendations. But how do you get there when there are so many factors that introduce bias and errors in your data? Treatment fidelity refers to how closely the survey adheres to the research protocol. This minimizes many common survey biases by ensuring that all…
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Test-retest Reliability In Surveys: Meaning & How To Improve on It
Ideally, a respondent’s answer should remain consistent over time, regardless of how many times they complete the survey. But factors like response bias and question misinterpretation influence respondents’ answers, causing them to respond differently on different occasions. The test-retest reliability helps you determine the consistency and accuracy of survey data over time. If a survey’s…
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Undercoverage Bias: Definition, Examples in Survey Research
Simple guide to understanding undecoverage bias, types, causes, disadvantages and examples in survey