Response interpolation and scale sensitivity: evidence against 5-point scales

455 indexed citations
published 2010
Journal
Journal of Usability Studies archive

In The Last Decade

doi.org/w5176235 →

Countries where authors are citing Response interpolation and scale sensitivity: evidence against 5-point scales

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This map shows the geographic impact of Response interpolation and scale sensitivity: evidence against 5-point scales. 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 Response interpolation and scale sensitivity: evidence against 5-point scales with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Response interpolation and scale sensitivity: evidence against 5-point scales more than expected).

Fields of papers citing Response interpolation and scale sensitivity: evidence against 5-point scales

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Response interpolation and scale sensitivity: evidence against 5-point scales. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Response interpolation and scale sensitivity: evidence against 5-point scales.

About Response interpolation and scale sensitivity: evidence against 5-point scales

This paper, published in 2010, received 455 indexed citations . Written by Kraig Finstad covering the research area of Information Systems and Management, Experimental and Cognitive Psychology and Human-Computer Interaction. It is primarily cited by scholars working on Sociology and Political Science (136 citations), Marketing (88 citations), Information Systems and Management (67 citations), Information Systems (61 citations) and Management Information Systems (58 citations). Published in Journal of Usability Studies archive.

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/w5176235.

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