ArticleStructural equation modeling : a multidisciplinary journal2016
tetrad: A Set of Stata Commands for Confirmatory Tetrad Analysis.
Article in Structural equation modeling : a multidisciplinary journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Race, ethnicity and nativity and the prestige of colleges attended.Social science research · 2021Article
- Exploring the causal and effect nature of EQ-5D dimensions: an application of confirmatory tetrad analysis and confirmatory factor analysis.Health and quality of life outcomes · 2018Article
- In defense of causal-formative indicators: A minority report.Psychological methods · 2017Article
- Model Evaluation in Generalized Structured Component Analysis Using Confirmatory Tetrad Analysis.Frontiers in psychology · 2017Article
- tetrad: A Set of Stata Commands for Confirmatory Tetrad Analysis.Structural equation modeling : a multidisciplinary journal · 2016Article
- Model Implied Instrumental Variables (MIIVs): An Alternative Orientation to Structural Equation Modeling.Multivariate behavioral researchArticle
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
This article provides a brief overview of Confirmatory Tetrad Analysis (CTA) and presents a new set of Stata commands for conducting CTA with supporting examples. The Stata command, tetrad, allows researchers to use modelimplied vanishing tetrads to test the overall fit of structural equation models (SEMs) with continuous endogenous variables and the relative fit of two SEMs with continuous endogenous variables that are tetrad-nested. An extension of the command, tetrad_matrix, allows researchers to conduct CTA using a sample covariance matrix as input rather than relying on raw data. In addition, researchers can use the tetrad_matrix command to input a polychoric correlation matrix and conduct CTA for SEMs involving dichotomous, ordinal, or censored outcomes. An additional extension of the command, tetrad_bootstrap, provides a bootstrapped p-value for the chi-square test statistic. By drawing on Stata's recently developed suite of commands for structural equation modeling, researchers can integrate CTA with data preparation, likelihood ratio tests for model fit, and the estimation of model parameters in a single statistical software package.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.