期刊文献+

量表评估效度的项目反应理论(英文) 被引量:4

Item response theory for measurement validity
下载PDF
导出
摘要 项目反应理论(Item response theory,IRT)是用来评估精神病学领域那些尚未被充分使用的测量量表效度一种重要方法。IRT描述了潜在心理特征(例如,该量表拟评估心理问题的架构)、量表中各项目的属性、以及被测试者对各项目应答之间的关系。本文介绍了IRT的基本前提,假设和方法。为了帮助解释这些概念,我们依据流行病学调查中心抑郁量表修订版中三个答案为是/否二分类选项的问题制定了一个假设的量表。流行病学调查中心抑郁量表已经用于19,399被测试者。我们首先用因子分析确认这三个项目的单维性,然后用Mplus软件建立2-Parameter Logic(2-PL)IRT模型,这是一种用来评估量表中各项目两两差异和项目难度的方法。本文将就这些分析结果的临床意义和在量表结构中的用途展开讨论。 Summary: Item response theory (IRT) is an important method of assessing the validity of measurement scales that is underutilized in the field of psychiatry. IRT describes the relationship between a latent trait (e.g., the construct that the scale proposes to assess), the properties of the items in the scale, and respondents' answers to the individual items. This paper introduces the basic premise, assumptions, and methods of IRT. To help explain these concepts we generate a hypothetical scale using three items from a modified, binary (yes/no) response version of the Center for Epidemiological Studies-Depression scale that was administered to 19,399 respondents. We first conducted a factor analysis to confirm the unidimensionality of the three items and then proceeded with Mplus software to construct the 2-Parameter Logic (2-PL) IRT model of the data, a method which allows for estimates of both item discrimination and item difficulty. The utility of this information both for clinical purposes and for scale construction purposes is discussed.
作者 Yang FM Kao ST
出处 《上海精神医学》 2014年第3期171-177,共7页 Shanghai Archives of Psychiatry
关键词 项目反应理论 Mplus 潜变量模型 CES—D 健康与退休研究 Item Response Theory, Mplus, latent variable modeling, CES-D, Health and Retirement Study
  • 相关文献

参考文献10

  • 1Polit D, Yang F. Measurement and the measurement of change: A primer for health professionals. Baltimore, MD: Lippincott, Williams, and Wilkins.
  • 2Samejima F. Estimation of latent ability using a response pattern of graded scores. Psychometrika monograph supplement. 1969. 35: 139-139. doi: http://dx.doi. org/10.1007/BF02290599.
  • 3Samejima F. Groded response model. Handbook of modern item response theory: Springer; 1997: 85-100.
  • 4Juster FT, Suzman R. An overview of the Health and Retirement Study. Journal of Human Resources. 1995; 30: S7-S56. doi: http://dx.doi.org/10.2307/146277.
  • 5Lord FM. Applications of item response theory to practical testing problems. Hillsdale, N J: Lawrence Erlbaum Associates, Publishers; 1980.
  • 6Bock RD. Estimating item parameters and latent ability when responses are scored in two or more nominal categories, Psychometrika. 1972; 37(1): 29-51. doi: http://dx.doi, org/10.1007/BF02291411.
  • 7Lord FM. Estimation of latent ability and item parameters when there are omitted responses. Psychornetrika. 1974; 39(2): 247-264. doi: http://dx.doi.org/10,1007/BF02291471.
  • 8Bentler PM. Comparative fit indexes in structural models. Psychological Bulletin. 1990; 107(2): 238-246. doi: http:// dx.doi.org/10. 1037/0033-2909.107.2.238.
  • 9Hu L, Bentler P. Fit indices in covariance structure analysis: Sensitivity to underparameterized model misspecifications. Psychological Methods. 1998; 4:424-453.
  • 10Browne M, Cudeck R. Alternative ways of assessing model fit. In: Bollen K, Long J, eds. Testing structural equation models. Thousand Oaks, CA: Sage; 1993:136-162.

同被引文献8

引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部