加载中…
个人资料
  • 博客等级:
  • 博客积分:
  • 博客访问:
  • 关注人气:
  • 获赠金笔:0支
  • 赠出金笔:0支
  • 荣誉徽章:
正文 字体大小:

潜变量建模入门阅读材料30篇(上)

(2014-04-07 11:09:43)
标签:

潜变量建模

测量

cfa

因素分析

教育

分类: SEM重要议题

潜变量建模入门阅读材料30篇

SEM作为潜变量建模入门,熟读下面30篇文献,可以提高建模自我效能感。全文打包下载 http://t.cn/8saYaPL http://ishare.iask.sina.com.cn/f/68731803.html

SEM一般问题

1.Stapleton, L. M., & Leite, W. L. (2005). A review of syllabi for a sample of structural equation modeling courses. Structural Equation Modeling, 12(4), 642-664.

2.Tomarken, A. J., & Waller, N. G. (2005). Structural equation modeling: Strengths, limitations, and misconceptions. Annu. Rev. Clin. Psychol., 1, 31-65.

3.Russell, D. W., Kahn, J. H., Spoth, R., & Altmaier, E. M. (1998). Analyzing data from experimental studies: A latent variable structural equation modeling approach. Journal of Counseling Psychology, 45(1), 18.

潜变量概念

4.Borsboom, D., Mellenbergh, G. J., & Van Heerden, J. (2003). The theoretical status of latent variables. Psychological review, 110(2), 203.

5.Bollen, K. A. (2002). Latent variables in psychology and the social sciences.Annual review of psychology, 53(1), 605-634.

探索性因素分析

6.Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research.Psychological methods, 4(3), 272.

7.Wirth, R. J., & Edwards, M. C. (2007). Item factor analysis: current approaches and future directions. Psychological methods, 12(1), 58.

8.Henson, R. K., & Roberts, J. K. (2006). Use of exploratory factor analysis in published research common errors and some comment on improved practice.Educational and Psychological measurement, 66(3), 393-416.

验证性因素分析

9.DiStefano, C., & Hess, B. (2005). Using confirmatory factor analysis for construct validation: An empirical   review. Journal of Psychoeducational Assessment, 23(3), 225-241.

10.Woods, C. M. (2006). Careless responding to reverse-worded items: Implications for confirmatory factor analysis. Journal of Psychopathology and Behavioral Assessment, 28(3), 186-191.

11.Reise, S. P., Morizot, J., & Hays, R. D. (2007). The role of the bifactor model in resolving dimensionality issues in health outcomes measures. Quality of Life Research, 16(1), 19-31.

12.Jackson, D. L., Gillaspy Jr, J. A., & Purc-Stephenson, R. (2009). Reporting practices in confirmatory factor analysis: an overview and some recommendations. Psychological methods, 14(1), 6.

探索性结构方程模型:探索爱上验证

13.Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 16(3), 397-438.

14.Marsh, H. W., Lüdtke, O., Muthén, B., Asparouhov, T., Morin, A. J., Trautwein, U., & Nagengast, B. (2010). A new look at the big five factor structure through exploratory structural equation modeling. Psychological Assessment, 22(3), 471.

测量模型:反应vs形成性

15.Howell, R. D., Breivik, E., & Wilcox, J. B. (2007). Reconsidering formative measurement. Psychological methods, 12(2), 205-218.

16.Edwards, J. R. (2011). The fallacy of formative measurement. Organizational Research Methods, 14(2), 370-388.

 

0

阅读 收藏 喜欢 打印举报/Report
  

新浪BLOG意见反馈留言板 欢迎批评指正

新浪简介 | About Sina | 广告服务 | 联系我们 | 招聘信息 | 网站律师 | SINA English | 产品答疑

新浪公司 版权所有