{"title":"仪器验证的解释性项目反应模型:基于诱导模仿测试的教程","authors":"Daniel R. Isbell , Young-A Son","doi":"10.1016/j.rmal.2023.100080","DOIUrl":null,"url":null,"abstract":"<div><p>This tutorial introduces explanatory item response models for the purpose of validating instruments used in applied linguistics research. These models can be used to investigate how theoretically important, construct-relevant characteristics of items influence the difficulty associated with successful responses, which constitutes valuable validity evidence. We focus on two item-explanatory models, the linear logistic test model for dichotomous responses and the linear rating scale model for ordinal responses, in the context of elicited imitation tests commonly used to measure oral proficiency in L2 research. Examples are provided using open data and the open-source statistical software R.</p></div>","PeriodicalId":101075,"journal":{"name":"Research Methods in Applied Linguistics","volume":"2 3","pages":"Article 100080"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Explanatory item response models for instrument validation: A tutorial based on an elicited imitation test\",\"authors\":\"Daniel R. Isbell , Young-A Son\",\"doi\":\"10.1016/j.rmal.2023.100080\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This tutorial introduces explanatory item response models for the purpose of validating instruments used in applied linguistics research. These models can be used to investigate how theoretically important, construct-relevant characteristics of items influence the difficulty associated with successful responses, which constitutes valuable validity evidence. We focus on two item-explanatory models, the linear logistic test model for dichotomous responses and the linear rating scale model for ordinal responses, in the context of elicited imitation tests commonly used to measure oral proficiency in L2 research. Examples are provided using open data and the open-source statistical software R.</p></div>\",\"PeriodicalId\":101075,\"journal\":{\"name\":\"Research Methods in Applied Linguistics\",\"volume\":\"2 3\",\"pages\":\"Article 100080\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research Methods in Applied Linguistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S277276612300040X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Methods in Applied Linguistics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S277276612300040X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Explanatory item response models for instrument validation: A tutorial based on an elicited imitation test
This tutorial introduces explanatory item response models for the purpose of validating instruments used in applied linguistics research. These models can be used to investigate how theoretically important, construct-relevant characteristics of items influence the difficulty associated with successful responses, which constitutes valuable validity evidence. We focus on two item-explanatory models, the linear logistic test model for dichotomous responses and the linear rating scale model for ordinal responses, in the context of elicited imitation tests commonly used to measure oral proficiency in L2 research. Examples are provided using open data and the open-source statistical software R.