Update to core reporting practices in structural equation modeling
This paper is a technical update to “Core Reporting Practices in Structural Equation Modeling.”1 As such, the content covered in this paper includes, sample size, missing data, specification and identification of models, estimation method choices, fit and residual concerns, nested, alternative, and...
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Veröffentlicht in: | Research in social and administrative pharmacy 2017-05, Vol.13 (3), p.634-643 |
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description | This paper is a technical update to “Core Reporting Practices in Structural Equation Modeling.”1 As such, the content covered in this paper includes, sample size, missing data, specification and identification of models, estimation method choices, fit and residual concerns, nested, alternative, and equivalent models, and unique issues within the SEM family of techniques. |
doi_str_mv | 10.1016/j.sapharm.2016.06.006 |
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source | MEDLINE; Elsevier ScienceDirect Journals |
subjects | Data Interpretation, Statistical Humans Models, Statistical Reporting Research Design Research methods Sample Size Structural equation modeling |
title | Update to core reporting practices in structural equation modeling |
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