Discovering Structural Equation Modeling Using Stata

338 indexed citations
published 2013

Impact in

Authors
Alan C. Acock
Journal
RePEc: Research Papers in Economics

In The Last Decade

doi.org/w4152601 →

Countries where authors are citing Discovering Structural Equation Modeling Using Stata

Specialization
Citations

This map shows the geographic impact of Discovering Structural Equation Modeling Using Stata. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Discovering Structural Equation Modeling Using Stata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Discovering Structural Equation Modeling Using Stata more than expected).

Fields of papers citing Discovering Structural Equation Modeling Using Stata

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Discovering Structural Equation Modeling Using Stata. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Discovering Structural Equation Modeling Using Stata.

About Discovering Structural Equation Modeling Using Stata

This paper, published in 2013, received 338 indexed citations . Written by Alan C. Acock. It is primarily cited by scholars working on Sociology and Political Science (114 citations), Social Psychology (54 citations), Education (45 citations), Clinical Psychology (40 citations) and General Health Professions (33 citations). Published in RePEc: Research Papers in Economics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/w4152601.

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