{"title":"在高风险的测试环境中,参加测试的动机是否能预测测试结果?","authors":"G. Silm, O. Must, Karin Täht, M. Pedaste","doi":"10.1080/13803611.2021.1949355","DOIUrl":null,"url":null,"abstract":"ABSTRACT Test-taking motivation (TTM) has been associated with test performance in low-stakes testing contexts. However, there have been few studies about TTM in high-stakes testing contexts, and these have contradictory results. Our aim was to explore the relationship between test-taking effort and test performance in a real-life high-stakes testing context (n = 1,515). We collected time-based and self-reported data about test-taking effort and used a structural equation model (SEM) to predict test performance. We found that the motivational indicators added about 15% of predictive power to the SEM model, where gender and previous performance had been controlled for. Altogether, the SEM model predicted 69% of the variance in test results. We compared the findings to previous studies and concluded that the possible effect of TTM should be considered in various testing contexts, whether low-stakes or high-stakes.","PeriodicalId":47025,"journal":{"name":"Educational Research and Evaluation","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/13803611.2021.1949355","citationCount":"3","resultStr":"{\"title\":\"Does test-taking motivation predict test results in a high-stakes testing context?\",\"authors\":\"G. Silm, O. Must, Karin Täht, M. Pedaste\",\"doi\":\"10.1080/13803611.2021.1949355\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Test-taking motivation (TTM) has been associated with test performance in low-stakes testing contexts. However, there have been few studies about TTM in high-stakes testing contexts, and these have contradictory results. Our aim was to explore the relationship between test-taking effort and test performance in a real-life high-stakes testing context (n = 1,515). We collected time-based and self-reported data about test-taking effort and used a structural equation model (SEM) to predict test performance. We found that the motivational indicators added about 15% of predictive power to the SEM model, where gender and previous performance had been controlled for. Altogether, the SEM model predicted 69% of the variance in test results. We compared the findings to previous studies and concluded that the possible effect of TTM should be considered in various testing contexts, whether low-stakes or high-stakes.\",\"PeriodicalId\":47025,\"journal\":{\"name\":\"Educational Research and Evaluation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2020-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/13803611.2021.1949355\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Educational Research and Evaluation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/13803611.2021.1949355\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Educational Research and Evaluation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/13803611.2021.1949355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Does test-taking motivation predict test results in a high-stakes testing context?
ABSTRACT Test-taking motivation (TTM) has been associated with test performance in low-stakes testing contexts. However, there have been few studies about TTM in high-stakes testing contexts, and these have contradictory results. Our aim was to explore the relationship between test-taking effort and test performance in a real-life high-stakes testing context (n = 1,515). We collected time-based and self-reported data about test-taking effort and used a structural equation model (SEM) to predict test performance. We found that the motivational indicators added about 15% of predictive power to the SEM model, where gender and previous performance had been controlled for. Altogether, the SEM model predicted 69% of the variance in test results. We compared the findings to previous studies and concluded that the possible effect of TTM should be considered in various testing contexts, whether low-stakes or high-stakes.
期刊介绍:
International, comparative and multidisciplinary in scope, Educational Research and Evaluation (ERE) publishes original, peer-reviewed academic articles dealing with research on issues of worldwide relevance in educational practice. The aim of the journal is to increase understanding of learning in pre-primary, primary, high school, college, university and adult education, and to contribute to the improvement of educational processes and outcomes. The journal seeks to promote cross-national and international comparative educational research by publishing findings relevant to the scholarly community, as well as to practitioners and others interested in education. The scope of the journal is deliberately broad in terms of both topics covered and disciplinary perspective.