Wilson Mark, Allen Diane D, Li Jun Corser
Graduate School of Education, University of California, Berkeley, CA 94720, USA.
Health Educ Res. 2006 Dec;21 Suppl 1:i4-18. doi: 10.1093/her/cyl108. Epub 2006 Oct 3.
This paper is the first of several papers designed to demonstrate how the application of item response models in the behavioral sciences can be used to enhance the conceptual and technical toolkit of researchers and developers and to understand better the psychometric properties of psychosocial measures. The papers all use baseline data from the Behavior Change Consortium data archive. This paper begins with an introduction to item response models, including both dichotomous and polytomous versions. The concepts of respondent and item location, model interpretation, standard errors and testing model fit are introduced and described. A sample analysis based on data from the self-efficacy scale is used to illustrate the concepts and techniques.
本文是系列论文中的第一篇，这些论文旨在展示行为科学中项目反应模型的应用如何能够用于增强研究人员和开发者的概念及技术工具包，并更好地理解心理社会测量的心理计量学特性。所有论文都使用了行为改变联盟数据档案中的基线数据。本文首先介绍项目反应模型，包括二分法和多分法版本。介绍并描述了被试和项目位置的概念、模型解释、标准误差以及检验模型拟合度。基于自我效能量表的数据进行的样本分析用于阐释这些概念和技术。
