\n| Face<\/a><\/td>\n | Whether the test appears valid on the surface<\/td>\n | Subjective impression<\/td>\n | Test visibly looks like it measures anxiety<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n <\/p>\n <\/span>Worked Example: Measuring Happiness<\/span><\/h2>\nA social psychologist studies how happiness relates to relationship longevity. They design a new, more engaging online questionnaire to measure happiness and want to confirm it works before using it in their study.<\/p>\n \n- Concurrent validity: they administer the new questionnaire alongside the established Subjective Happiness Scale to the same group at the same time, then correlate the 2 sets of scores.<\/li>\n
- Predictive validity: they re-contact participants 1 year later to see whether early happiness scores correlate with whether their relationships lasted.<\/li>\n<\/ul>\n
Strong correlations in both cases would confirm the new questionnaire is both an accurate current measure and a useful predictive tool.<\/p>\n \nFrequently Asked Questions<\/span><\/p>\n<\/span>What is the difference between criterion validity and construct validity?<\/span><\/h3>\nCriterion validity compares a test to a single established benchmark. Construct validity is broader, examining how a test relates to multiple related and unrelated variables to confirm it measures the intended theoretical concept.<\/p>\n
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