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Edgar Allan Poe/Sullivan's Island Library
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West Ashley Library
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Wando Mount Pleasant Library
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Village Library
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St. Paul's/Hollywood Library
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Development and Initial Validation of Two Brief Measures of Left-Wing Authoritarianism: A Machine Learning Approach.
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- Author(s): Costello, Thomas H. (AUTHOR); Patrick, Christopher J. (AUTHOR)
- Source:
Journal of Personality Assessment. Mar/Apr2023, Vol. 105 Issue 2, p187-202. 16p. 1 Diagram, 4 Charts, 3 Graphs. - Source:
- Additional Information
- Subject Terms:
- Abstract: Although authoritarianism has predominantly been studied among political conservatives, authoritarian individuals exist on both "poles" of the political spectrum. A 39-item multidimensional measure of left-wing authoritarianism, the Left-wing Authoritarianism Index, was recently developed to extend the study of authoritarianism to members of the far-left. The present study coupled a fully automated machine learning approach (i.e., a genetic algorithm) with multidimensional item response theory in a large, demographically representative American sample (N = 834) to generate and evaluate two abbreviated versions of the Left-wing Authoritarianism Index. We subsequently used a second community sample (N = 477) to conduct extensive validational tests of the abbreviated measures, which comprise 25- and 13-items. The abbreviated forms demonstrated remarkable convergence with the full LWA Index in terms of their psychometric (e.g., internal consistency) and distributional (e.g., mean, standard deviation, skew, kurtosis) properties. This convergence extended to virtually identical cross-measure patterns of correlations with 14 external criteria, including need for chaos, political violence, anomia, low institutional trust. In light of these results, the LWA-25 and LWA-13 scales appeared to function effectively as measures of LWA. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Journal of Personality Assessment is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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