Your Chi-Square Test Is Statistically Significant: Now What?

402 indexed citations
published 2015
Journal
DOAJ (DOAJ: Directory of Open Access Journals)

In The Last Decade

doi.org/w860975 →

Countries where authors are citing Your Chi-Square Test Is Statistically Significant: Now What?

Specialization
Citations

This map shows the geographic impact of Your Chi-Square Test Is Statistically Significant: Now What?. 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 Your Chi-Square Test Is Statistically Significant: Now What? with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Your Chi-Square Test Is Statistically Significant: Now What? more than expected).

Fields of papers citing Your Chi-Square Test Is Statistically Significant: Now What?

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Your Chi-Square Test Is Statistically Significant: Now What?. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Your Chi-Square Test Is Statistically Significant: Now What?.

About Your Chi-Square Test Is Statistically Significant: Now What?

This paper, published in 2015, received 402 indexed citations . Written by Donald Sharpe. It is primarily cited by scholars working on Sociology and Political Science (54 citations), Clinical Psychology (50 citations), Social Psychology (41 citations), Education (39 citations) and Developmental and Educational Psychology (28 citations). Published in DOAJ (DOAJ: Directory of Open Access Journals).

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/w860975.

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