Applied Psychological Measurement · 2024 · 18 citations · 37 references
Social SciencesBehavioral SciencesPsychologyExperimental PsychologyMeasurement InvariancePsychometricsExternal ValidityIntelligence AssessmentMeasurement EquivalencePsychological TestingTest TheoryTheory Of MindBehavioral ExperimentsControl Group DesignMatched Control GroupMeasurement Model InvarianceMeasurement Parameter InvariancePerformance-based Intelligence TestsTesting Measurement InvarianceTwin Studies Of Intelligence
Psychometricians have argued that measurement invariance (MI) testing is needed to know if the same psychological constructs are measured in different groups. Data from five experiments allowed that position to be tested. In the first, participants answered questionnaires on belief in free will and either the meaning of life or the meaning of a nonsense concept called "gavagai." Since the meaning of life and the meaning of gavagai conceptually differ, MI should have been violated when groups were treated like their measurements were identical. MI was severely violated, indicating the questionnaires were interpreted differently. In the second and third experiments, participants were randomized to watch treatment videos explaining figural matrices rules or task-irrelevant control videos. Participants then took intelligence and figural matrices tests. The intervention worked and the experimental group had an additional influence on figural matrix performance in the form of knowing matrix rules, so their performance on the matrices tests violated MI and was anomalously high for their intelligence levels. In both experiments, MI was severely violated. In the fourth and fifth experiments, individuals were exposed to growth mindset interventions that a twin study revealed changed the amount of genetic variance in the target mindset measure without affecting other variables. When comparing treatment and control groups, MI was attainable before but not after treatment. Moreover, the control group showed longitudinal invariance, but the same was untrue for the treatment group. MI testing is likely able to show if the same things are measured in different groups.
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