Practical assessment, research & evaluation

387 papers and 33.5k indexed citations i.

About

The 387 papers published in Practical assessment, research & evaluation in the last decades have received a total of 33.5k indexed citations. Papers published in Practical assessment, research & evaluation usually cover Education (121 papers), Management Science and Operations Research (95 papers) and Statistics and Probability (64 papers) specifically the topics of Measurement Invariance in Structural Equation Modeling (64 papers), Student Assessment and Feedback (40 papers) and Advanced Statistical Modeling Techniques (25 papers). The most active scholars publishing in Practical assessment, research & evaluation are Jason W. Osborne, Lawrence M. Rudner, William D. Schafer, Chia-Chien Hsu, Brian A. Sandford, Joost de Winter, Steven E. Stemler, Bruno D. Zumbo, Diana Mîndrilă and Christine DiStefano.

In The Last Decade

Fields of papers published in Practical assessment, research & evaluation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Practical assessment, research & evaluation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Practical assessment, research & evaluation.

Countries where authors publish in Practical assessment, research & evaluation

Since Specialization
Citations

This map shows the geographic impact of research published in Practical assessment, research & evaluation. 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 papers published in Practical assessment, research & evaluation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Practical assessment, research & evaluation more than expected).

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.

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