Jamis J. Perrett
Impact in
- Statistics and Probability top 10%
- Statistics Education and Methodologies
- Education top 10%
- Innovative Teaching Methods
- Online and Blended Learning
- Evaluation of Teaching Practices
Papers in
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- Statistics Education and Methodologies 4
- Advanced Statistical Methods and Models 1
-
- Innovative Teaching Methods 2
- Co-authors
- Jay Schaffer (1 shared paper)William H. Heyborne (2 shared papers)Daniel J. Mundfrom (1 shared paper)Deborah Nolan (1 shared paper)James J. Higgins (1 shared paper)John R. Jaeger (1 shared paper)K. C. Olson (1 shared paper)Jennifer A. Clarke (1 shared paper)
- Journals
- Crop Science (2 papers)Journal of Applied Social Psychology (1 paper)Meat Science (1 paper)Assessment & Evaluation in Higher Education (1 paper)The American Statistician (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Jamis J. Perrett
15 papers receiving 275 citations
Peers
Comparison fields: 5 of 118
- Statistics and Probability 25
- Education 77
- Developmental and Educational Psychology 27
- Media Technology 17
- Experimental and Cognitive Psychology 21
Countries citing papers authored by Jamis J. Perrett
This map shows the geographic impact of Jamis J. Perrett's research. 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 Jamis J. Perrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamis J. Perrett more than expected).
Fields of papers citing papers by Jamis J. Perrett
This network shows the impact of papers produced by Jamis J. Perrett. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jamis J. Perrett. The network helps show where Jamis J. Perrett may publish in the future.
Co-authors
The 13 scholars most cited alongside Jamis J. Perrett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Bonferroni Adjustments in Tests for Regression Coefficients | 2006 | 118 |
| 2 | 2016 | 42 | |
| 3 | 2015 | 38 | |
| 4 | 2011 | 21 | |
| 5 | 2008 | 16 | |
| 6 | 2011 | 14 | |
| 7 | 2006 | 12 | |
| 8 | 2013 | 10 | |
| 9 | A Comparison of Two Forms of Assessment in an Introductory Biology Laboratory Course | 2011 | 8 |
| 10 | 2019 | 8 | |
| 11 | 2012 | 5 | |
| 12 | 2010 | 3 | |
| 13 | 2005 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2012 | 1 | |
| 16 | 2009 | 0 | |
| 17 | 2006 | 0 |
About Jamis J. Perrett
Jamis J. Perrett is a scholar working on Statistics and Probability, Education, Sociology and Political Science, Public Health, Environmental and Occupational Health and Plant Science, having authored 17 papers that have together received 299 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (4 papers), Innovative Teaching Methods (2 papers), Inclusion and Disability in Education and Sport (2 papers), Animal Nutrition and Physiology (1 paper), Ruminant Nutrition and Digestive Physiology (1 paper), Diverse Scientific and Engineering Research (1 paper), Advanced Statistical Methods and Models (1 paper) and Eating Disorders and Behaviors (1 paper). The work is most often cited by research in Statistics and Probability (25 citations), Education (77 citations), Developmental and Educational Psychology (27 citations), Media Technology (17 citations) and Experimental and Cognitive Psychology (21 citations). Jamis J. Perrett has collaborated with scholars based in United States and Canada. Frequent co-authors include Jay Schaffer, William H. Heyborne, Daniel J. Mundfrom, Deborah Nolan, James J. Higgins, John R. Jaeger, K. C. Olson, Jennifer A. Clarke, Michael E. Dikeman and Lulu Cheng. Their work appears in journals such as Crop Science, Journal of Applied Social Psychology, Meat Science, Assessment & Evaluation in Higher Education and The American Statistician.
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.