{"title":"如果没有个性因素呢?比较五大和最大维度项目集的行为行为频率的可预测性","authors":"Elisa Altgassen, G. Olaru, O. Wilhelm","doi":"10.1177/08902070231163283","DOIUrl":null,"url":null,"abstract":"Personality inventories are predominantly curated using factor analytic approaches. Indicators capturing common and thus redundant variance are preferentially selected, whereas indicators capturing a large proportion of unique variance outside the broad trait domains are omitted from further research. Even recent research dealing with lower-level personality traits such as facets or nuances has invariably relied on inventories founded on this factor analytic approach. However, items can also be selected to ensure low instead of high communality amongst them. The expected predictive power of such item sets is higher compared to those compiled to capitalize on the indicators’ redundancy. To investigate this, we applied Ant Colony Optimization (ACO) to select personality-descriptive adjectives with minimal inter-item correlations. When used to predict the frequency of everyday life behaviors, this ‘crude-grit’ set outperformed a traditional big-five item set and sets of randomly selected adjectives. The size of the predictive advantage of the crude-grit set was generally higher for those behaviors that could also be predicted better by the big-five item set. This study provides a proof-of-concept for an alternative procedure for compiling personality scales, and serves as a starting point for future studies using broader item sets.","PeriodicalId":51376,"journal":{"name":"European Journal of Personality","volume":" ","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2023-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"What if there were no personality factors? Comparing the predictability of behavioral act frequencies from a big-five and a maximal-dimensional item set\",\"authors\":\"Elisa Altgassen, G. Olaru, O. Wilhelm\",\"doi\":\"10.1177/08902070231163283\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Personality inventories are predominantly curated using factor analytic approaches. Indicators capturing common and thus redundant variance are preferentially selected, whereas indicators capturing a large proportion of unique variance outside the broad trait domains are omitted from further research. Even recent research dealing with lower-level personality traits such as facets or nuances has invariably relied on inventories founded on this factor analytic approach. However, items can also be selected to ensure low instead of high communality amongst them. The expected predictive power of such item sets is higher compared to those compiled to capitalize on the indicators’ redundancy. To investigate this, we applied Ant Colony Optimization (ACO) to select personality-descriptive adjectives with minimal inter-item correlations. When used to predict the frequency of everyday life behaviors, this ‘crude-grit’ set outperformed a traditional big-five item set and sets of randomly selected adjectives. The size of the predictive advantage of the crude-grit set was generally higher for those behaviors that could also be predicted better by the big-five item set. This study provides a proof-of-concept for an alternative procedure for compiling personality scales, and serves as a starting point for future studies using broader item sets.\",\"PeriodicalId\":51376,\"journal\":{\"name\":\"European Journal of Personality\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2023-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Personality\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1177/08902070231163283\",\"RegionNum\":1,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, SOCIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Personality","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/08902070231163283","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, SOCIAL","Score":null,"Total":0}
What if there were no personality factors? Comparing the predictability of behavioral act frequencies from a big-five and a maximal-dimensional item set
Personality inventories are predominantly curated using factor analytic approaches. Indicators capturing common and thus redundant variance are preferentially selected, whereas indicators capturing a large proportion of unique variance outside the broad trait domains are omitted from further research. Even recent research dealing with lower-level personality traits such as facets or nuances has invariably relied on inventories founded on this factor analytic approach. However, items can also be selected to ensure low instead of high communality amongst them. The expected predictive power of such item sets is higher compared to those compiled to capitalize on the indicators’ redundancy. To investigate this, we applied Ant Colony Optimization (ACO) to select personality-descriptive adjectives with minimal inter-item correlations. When used to predict the frequency of everyday life behaviors, this ‘crude-grit’ set outperformed a traditional big-five item set and sets of randomly selected adjectives. The size of the predictive advantage of the crude-grit set was generally higher for those behaviors that could also be predicted better by the big-five item set. This study provides a proof-of-concept for an alternative procedure for compiling personality scales, and serves as a starting point for future studies using broader item sets.
期刊介绍:
It is intended that the journal reflects all areas of current personality psychology. The Journal emphasizes (1) human individuality as manifested in cognitive processes, emotional and motivational functioning, and their physiological and genetic underpinnings, and personal ways of interacting with the environment, (2) individual differences in personality structure and dynamics, (3) studies of intelligence and interindividual differences in cognitive functioning, and (4) development of personality differences as revealed by cross-sectional and longitudinal studies.