Joshua J. March, David Hamilton, Dawn McCormack, Ross Brisco, Amy Grech
{"title":"英国高等教育学生焦虑症状及其前因的统计网络分析","authors":"Joshua J. March, David Hamilton, Dawn McCormack, Ross Brisco, Amy Grech","doi":"10.1111/nyas.15350","DOIUrl":null,"url":null,"abstract":"Statistics anxiety is a widespread, multifaceted phenomenon affecting many students in higher education. Feelings of excessive worry when exposed to statistical content impact student performance and heighten negative perceptions of statistics. While many factors have been identified as relevant antecedents of statistics anxiety, it is unclear how they relate to different components of this phenomenon, and which factors are most influential. Additionally, no research has investigated the impact of peer attitudes toward statistics anxiety. The current study describes a preregistered network analysis of statistics anxiety, peer attitudes, and related variables with a sample of 279 UK higher education students. After performing reliability checks, results support the distinction made in previous literature between attitudes toward statistics and statistics anxiety per se. The former were influenced by feelings of statistics self-efficacy, age, and peer attitudes toward statistics, and the latter was influenced by negative problem orientation and intolerance of uncertainty. The most influential nodes were the negative problem orientation variables, inhibitory anxiety, and interpretation anxiety. The findings are discussed in relation to addressing statistics anxiety from multiple angles.","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"17 1","pages":""},"PeriodicalIF":4.1000,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A network analysis of statistics anxiety symptoms and their antecedents in UK higher education students\",\"authors\":\"Joshua J. March, David Hamilton, Dawn McCormack, Ross Brisco, Amy Grech\",\"doi\":\"10.1111/nyas.15350\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Statistics anxiety is a widespread, multifaceted phenomenon affecting many students in higher education. Feelings of excessive worry when exposed to statistical content impact student performance and heighten negative perceptions of statistics. While many factors have been identified as relevant antecedents of statistics anxiety, it is unclear how they relate to different components of this phenomenon, and which factors are most influential. Additionally, no research has investigated the impact of peer attitudes toward statistics anxiety. The current study describes a preregistered network analysis of statistics anxiety, peer attitudes, and related variables with a sample of 279 UK higher education students. After performing reliability checks, results support the distinction made in previous literature between attitudes toward statistics and statistics anxiety per se. The former were influenced by feelings of statistics self-efficacy, age, and peer attitudes toward statistics, and the latter was influenced by negative problem orientation and intolerance of uncertainty. The most influential nodes were the negative problem orientation variables, inhibitory anxiety, and interpretation anxiety. The findings are discussed in relation to addressing statistics anxiety from multiple angles.\",\"PeriodicalId\":8250,\"journal\":{\"name\":\"Annals of the New York Academy of Sciences\",\"volume\":\"17 1\",\"pages\":\"\"},\"PeriodicalIF\":4.1000,\"publicationDate\":\"2025-04-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of the New York Academy of Sciences\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1111/nyas.15350\",\"RegionNum\":3,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of the New York Academy of Sciences","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1111/nyas.15350","RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
A network analysis of statistics anxiety symptoms and their antecedents in UK higher education students
Statistics anxiety is a widespread, multifaceted phenomenon affecting many students in higher education. Feelings of excessive worry when exposed to statistical content impact student performance and heighten negative perceptions of statistics. While many factors have been identified as relevant antecedents of statistics anxiety, it is unclear how they relate to different components of this phenomenon, and which factors are most influential. Additionally, no research has investigated the impact of peer attitudes toward statistics anxiety. The current study describes a preregistered network analysis of statistics anxiety, peer attitudes, and related variables with a sample of 279 UK higher education students. After performing reliability checks, results support the distinction made in previous literature between attitudes toward statistics and statistics anxiety per se. The former were influenced by feelings of statistics self-efficacy, age, and peer attitudes toward statistics, and the latter was influenced by negative problem orientation and intolerance of uncertainty. The most influential nodes were the negative problem orientation variables, inhibitory anxiety, and interpretation anxiety. The findings are discussed in relation to addressing statistics anxiety from multiple angles.
期刊介绍:
Published on behalf of the New York Academy of Sciences, Annals of the New York Academy of Sciences provides multidisciplinary perspectives on research of current scientific interest with far-reaching implications for the wider scientific community and society at large. Each special issue assembles the best thinking of key contributors to a field of investigation at a time when emerging developments offer the promise of new insight. Individually themed, Annals special issues stimulate new ways to think about science by providing a neutral forum for discourse—within and across many institutions and fields.