Literature DB >> 10821318

Structural equation modeling and rehabilitation research.

M K Peek1.   

Abstract

Structural equation modeling (SEM) has been used extensively in the social sciences in the recent past to model human behavior. SEM has been less used by other disciplines, including rehabilitation medicine. This article begins by providing an introduction to structural equation modeling through the discussion of the definition and basic concepts behind SEM using a conceptual model relevant to rehabilitation medicine that describes the pathway from health to disability (the Enabling-Disabling model). The next focus is on several potential pitfalls of which the researcher needs to be aware when using SEM. After this discussion, a hypothetical example is presented using structural equation modeling to evaluate the Enabling-Disabling model. The article concludes with a review of the advantages and disadvantages of using SEM for clinical and social science research. Throughout the article, references are provided for a more detailed examination of SEM.

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Year:  2000        PMID: 10821318     DOI: 10.1097/00002060-200005000-00014

Source DB:  PubMed          Journal:  Am J Phys Med Rehabil        ISSN: 0894-9115            Impact factor:   2.159


  3 in total

1.  Development and influencing factors of compliance behaviors of investigators in clinical trials.

Authors:  Yu-Hong Shen; Mao-Zhong Li; Xin-Ping Zhang; Zheng-Qi Li; Li-Jun Wang
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2014-04-08

2.  Cognitive state following stroke: the predominant role of preexisting white matter lesions.

Authors:  Efrat Kliper; Einor Ben Assayag; Ricardo Tarrasch; Moran Artzi; Amos D Korczyn; Shani Shenhar-Tsarfaty; Orna Aizenstein; Hen Hallevi; Anat Mike; Ludmila Shopin; Natan M Bornstein; Dafna Ben Bashat
Journal:  PLoS One       Date:  2014-08-25       Impact factor: 3.240

3.  Application of structural equation models for elucidating the ecological drivers of Anopheles sinensis in the three gorges reservoir.

Authors:  Wang Duo-quan; Tang Lin-hua; Liu Heng-hui; Gu Zhen-cheng; Zheng Xiang
Journal:  PLoS One       Date:  2013-07-30       Impact factor: 3.240

  3 in total

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