For studies that examine the association between multiple variables or conduct an experiment, judgments of statistical validity may entail examining the study’s effect size or statistical significance. For a survey or poll, judgments of statistical validity may entail looking at the margin of error. There is no one way to evaluate claims of statistical validity. An assessment of statistical validity asks whether that 25% is based on a sample of 12 or 12,000. ![]() Suppose a survey says 25% of people believe the Earth is flat. Statistical validity is an assessment of how well the numbers in a study support the claims being made. Within the context of survey research, validity is the answer to the question: does this research show what it claims to show? There are four types of validity within survey research. Validity refers to how reasonable, accurate, and justifiable a claim, conclusion, or decision is. ![]() ![]() Thus, we lay out the details of both constructs in this blog. However, understanding validity and reliability is important for both the people who conduct and consume research. ![]() Digging into these concepts can get a bit wonky. Nevertheless, behavioral scientists persist, using surveys, experiments, and observations to learn why people do what they do.Īt the heart of good research methods are two concepts known as survey validity and reliability. They may not always want to divulge what they really think or they may not be able to accurately report what they think. Let’s start by agreeing that it isn’t always easy to measure people’s attitudes, thoughts, and feelings.
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