{"title":"自我报告评定量表工具上被调查者水平锚定的心理测量模型","authors":"Weicong Lyu, Daniel M. Bolt","doi":"10.1111/bmsp.12251","DOIUrl":null,"url":null,"abstract":"<p>Among the various forms of response bias that can emerge with self-report rating scale assessments are those related to anchoring, the tendency for respondents to select categories in close proximity to the rating category used for the immediately preceding item. In this study we propose a psychometric model based on a multidimensional nominal model for response style that also simultaneously accommodates a respondent-level anchoring tendency. The model is estimated using a fully Bayesian estimation procedure. By applying this model to a real test data set measuring extraversion, we explore a theory that both response styles and anchoring might be viewed as evidence of a lack of effortful responding. Empirical results show that there is a positive correlation between the strength of midpoint response style and the anchoring effect; further, responses indicative of either anchoring or response style both negatively correlate with response time, consistent with a theory that both phenomena reflect reduced respondent effort. The results support attending to both anchoring and midpoint response style as ways of assessing respondent engagement.</p>","PeriodicalId":55322,"journal":{"name":"British Journal of Mathematical & Statistical Psychology","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2021-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/bmsp.12251","citationCount":"6","resultStr":"{\"title\":\"A psychometric model for respondent-level anchoring on self-report rating scale instruments\",\"authors\":\"Weicong Lyu, Daniel M. Bolt\",\"doi\":\"10.1111/bmsp.12251\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Among the various forms of response bias that can emerge with self-report rating scale assessments are those related to anchoring, the tendency for respondents to select categories in close proximity to the rating category used for the immediately preceding item. In this study we propose a psychometric model based on a multidimensional nominal model for response style that also simultaneously accommodates a respondent-level anchoring tendency. The model is estimated using a fully Bayesian estimation procedure. By applying this model to a real test data set measuring extraversion, we explore a theory that both response styles and anchoring might be viewed as evidence of a lack of effortful responding. Empirical results show that there is a positive correlation between the strength of midpoint response style and the anchoring effect; further, responses indicative of either anchoring or response style both negatively correlate with response time, consistent with a theory that both phenomena reflect reduced respondent effort. The results support attending to both anchoring and midpoint response style as ways of assessing respondent engagement.</p>\",\"PeriodicalId\":55322,\"journal\":{\"name\":\"British Journal of Mathematical & Statistical Psychology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2021-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1111/bmsp.12251\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"British Journal of Mathematical & Statistical Psychology\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/bmsp.12251\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"British Journal of Mathematical & Statistical Psychology","FirstCategoryId":"102","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/bmsp.12251","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
A psychometric model for respondent-level anchoring on self-report rating scale instruments
Among the various forms of response bias that can emerge with self-report rating scale assessments are those related to anchoring, the tendency for respondents to select categories in close proximity to the rating category used for the immediately preceding item. In this study we propose a psychometric model based on a multidimensional nominal model for response style that also simultaneously accommodates a respondent-level anchoring tendency. The model is estimated using a fully Bayesian estimation procedure. By applying this model to a real test data set measuring extraversion, we explore a theory that both response styles and anchoring might be viewed as evidence of a lack of effortful responding. Empirical results show that there is a positive correlation between the strength of midpoint response style and the anchoring effect; further, responses indicative of either anchoring or response style both negatively correlate with response time, consistent with a theory that both phenomena reflect reduced respondent effort. The results support attending to both anchoring and midpoint response style as ways of assessing respondent engagement.
期刊介绍:
The British Journal of Mathematical and Statistical Psychology publishes articles relating to areas of psychology which have a greater mathematical or statistical aspect of their argument than is usually acceptable to other journals including:
• mathematical psychology
• statistics
• psychometrics
• decision making
• psychophysics
• classification
• relevant areas of mathematics, computing and computer software
These include articles that address substantitive psychological issues or that develop and extend techniques useful to psychologists. New models for psychological processes, new approaches to existing data, critiques of existing models and improved algorithms for estimating the parameters of a model are examples of articles which may be favoured.