SPSS for intermediate statistics : use and interpretation

1.1k indexed citations
published 2005

Countries where authors are citing SPSS for intermediate statistics : use and interpretation

Specialization
Citations

This map shows the geographic impact of SPSS for intermediate statistics : use and interpretation. 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 SPSS for intermediate statistics : use and interpretation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SPSS for intermediate statistics : use and interpretation more than expected).

Fields of papers citing SPSS for intermediate statistics : use and interpretation

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of SPSS for intermediate statistics : use and interpretation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the SPSS for intermediate statistics : use and interpretation.

About SPSS for intermediate statistics : use and interpretation

This paper, published in 2005, received 1.1k indexed citations . Written by Nancy L. Leech, Karen Caplovitz Barrett and George A. Morgan. It is primarily cited by scholars working on Education (269 citations), Sociology and Political Science (186 citations), Social Psychology (150 citations), Organizational Behavior and Human Resource Management (133 citations) and Clinical Psychology (125 citations).

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/w9383984.

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