Amanda L Rebar1, Nilam Ram2, David E Conroy3. 1. The Pennsylvania State University, Department of Kinesiology ; Central Queensland University, School of Human, Health, and Social Sciences. 2. The Pennsylvania State University, Department of Human Development and Family Studies. 3. The Pennsylvania State University, Department of Kinesiology ; The Pennsylvania State University, Department of Human Development and Family Studies.
Abstract
OBJECTIVE: The Single-Category Implicit Association Test (SC-IAT) has been used as a method for assessing automatic evaluations of physical activity, but measurement artifact or consciously-held attitudes could be confounding the outcome scores of these measures. The objective of these two studies was to address these measurement concerns by testing the validity of a novel SC-IAT scoring technique. DESIGN: Study 1 was a cross-sectional study, and study 2 was a prospective study. METHOD: In study 1, undergraduate students (N = 104) completed SC-IATs for physical activity, flowers, and sedentary behavior. In study 2, undergraduate students (N = 91) completed a SC-IAT for physical activity, self-reported affective and instrumental attitudes toward physical activity, physical activity intentions, and wore an accelerometer for two weeks. The EZ-diffusion model was used to decompose the SC-IAT into three process component scores including the information processing efficiency score. RESULTS: In study 1, a series of structural equation model comparisons revealed that the information processing score did not share variability across distinct SC-IATs, suggesting it does not represent systematic measurement artifact. In study 2, the information processing efficiency score was shown to be unrelated to self-reported affective and instrumental attitudes toward physical activity, and positively related to physical activity behavior, above and beyond the traditional D-score of the SC-IAT. CONCLUSIONS: The information processing efficiency score is a valid measure of automatic evaluations of physical activity.
OBJECTIVE: The Single-Category Implicit Association Test (SC-IAT) has been used as a method for assessing automatic evaluations of physical activity, but measurement artifact or consciously-held attitudes could be confounding the outcome scores of these measures. The objective of these two studies was to address these measurement concerns by testing the validity of a novel SC-IAT scoring technique. DESIGN: Study 1 was a cross-sectional study, and study 2 was a prospective study. METHOD: In study 1, undergraduate students (N = 104) completed SC-IATs for physical activity, flowers, and sedentary behavior. In study 2, undergraduate students (N = 91) completed a SC-IAT for physical activity, self-reported affective and instrumental attitudes toward physical activity, physical activity intentions, and wore an accelerometer for two weeks. The EZ-diffusion model was used to decompose the SC-IAT into three process component scores including the information processing efficiency score. RESULTS: In study 1, a series of structural equation model comparisons revealed that the information processing score did not share variability across distinct SC-IATs, suggesting it does not represent systematic measurement artifact. In study 2, the information processing efficiency score was shown to be unrelated to self-reported affective and instrumental attitudes toward physical activity, and positively related to physical activity behavior, above and beyond the traditional D-score of the SC-IAT. CONCLUSIONS: The information processing efficiency score is a valid measure of automatic evaluations of physical activity.
Entities:
Keywords:
automatic evaluations; exercise; implicit attitudes; response time measures
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Authors: Amanda L Rebar; Stephanie Schoeppe; Stephanie J Alley; Camille E Short; James A Dimmock; Ben Jackson; David E Conroy; Ryan E Rhodes; Corneel Vandelanotte Journal: Front Psychol Date: 2016-08-23