Application of Path Analysis and Structural Equation Modeling in Nutrition and Dietetics
Journal of the Academy of Nutrition and Dietetics, ISSN: 2212-2672, Vol: 122, Issue: 11, Page: 2023-2035
2022
- 14Citations
- 59Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations14
- Citation Indexes14
- 14
- Captures59
- Readers59
- 59
Article Description
This is one of a series of monographs on research design and analysis. The purpose of this article is to describe a set of statistical procedures or techniques used to develop and test structural models that characterize the relationships and interrelationships between a group of concepts and variables. These procedures include multiple regression, exploratory and confirmatory factor analysis, path analysis, and structural equation modeling. The article describes the purpose of each of these procedures and how they relate to and build on one another. It also covers the different types of variables examined, including the distinction between endogenous, exogenous, and mediating variables, along with the distinction between measured and unmeasured (or latent) variables. Each procedure results in a set of statistical estimates, and the article presents the interpretation of these estimates, including regression coefficients (standardized and unstandardized), path coefficients, factor loadings, and coefficients of determination (or R 2 values). The article presents examples of how each procedure has been used in practice, along with additional resources for readers who wish to learn more.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2212267222006451; http://dx.doi.org/10.1016/j.jand.2022.07.007; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85136315400&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/35863617; https://linkinghub.elsevier.com/retrieve/pii/S2212267222006451; https://dx.doi.org/10.1016/j.jand.2022.07.007
Elsevier BV
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