Using the EZ-diffusion model to score a single-category implicit association test of physical activity
© 2014 Elsevier Ltd. 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 o...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Elsevier BV
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/71764 |
| _version_ | 1848762566275235840 |
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| author | Rebar, Amanda Ram, N. Conroy, D. |
| author_facet | Rebar, Amanda Ram, N. Conroy, D. |
| author_sort | Rebar, Amanda |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2014 Elsevier Ltd. 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. |
| first_indexed | 2025-11-14T10:49:36Z |
| format | Journal Article |
| id | curtin-20.500.11937-71764 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:49:36Z |
| publishDate | 2015 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-717642018-12-13T09:32:08Z Using the EZ-diffusion model to score a single-category implicit association test of physical activity Rebar, Amanda Ram, N. Conroy, D. © 2014 Elsevier Ltd. 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. 2015 Journal Article http://hdl.handle.net/20.500.11937/71764 10.1016/j.psychsport.2014.09.008 Elsevier BV restricted |
| spellingShingle | Rebar, Amanda Ram, N. Conroy, D. Using the EZ-diffusion model to score a single-category implicit association test of physical activity |
| title | Using the EZ-diffusion model to score a single-category implicit association test of physical activity |
| title_full | Using the EZ-diffusion model to score a single-category implicit association test of physical activity |
| title_fullStr | Using the EZ-diffusion model to score a single-category implicit association test of physical activity |
| title_full_unstemmed | Using the EZ-diffusion model to score a single-category implicit association test of physical activity |
| title_short | Using the EZ-diffusion model to score a single-category implicit association test of physical activity |
| title_sort | using the ez-diffusion model to score a single-category implicit association test of physical activity |
| url | http://hdl.handle.net/20.500.11937/71764 |