Larry E. Toothaker

2.6k citations
31 papers · 2.1k indexed · 1 hit paper · h-index 15

Larry E. Toothaker

31 papers receiving 2.0k citations

Hit Papers

Multiple Regression: Testing and Interpreting Interactions.1.1k19942026200420152505007501000

Peers

Larry E. Toothaker
Comparison fields: 5 of 184
  • Organizational Behavior and Human Resource Management 281
  • Statistics and Probability 205
  • Social Psychology 439
  • Applied Psychology 105
  • Clinical Psychology 430
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Countries citing papers authored by Larry E. Toothaker

Since Specialization
Citations

This map shows the geographic impact of Larry E. Toothaker'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 Larry E. Toothaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larry E. Toothaker more than expected).

Fields of papers citing papers by Larry E. Toothaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Larry E. Toothaker. 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 Larry E. Toothaker. The network helps show where Larry E. Toothaker may publish in the future.

Co-authorship network

The 18 scholars most cited alongside Larry E. Toothaker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Larry E. Toothaker Line = papers co-authored together Larry E. Toothaker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20153
2 200734
3
Introductory statistics for the behavioral sciences, 2nd ed.
19968
4 19891
5 198451
6 198316
7 198337
8 19808
9 19782
10 197620
11 19753
12 19752
13 19757
14 19752
15 1974103
16 197410
17 197431
18
The ANOVA F-Test Versus The Kruskal-Wallis Test: A Robustness Study.
197411
19 19723
20
An Empirical Investigation of the Permutation T-Test as Compared to Student's T-Test and the Mann-Whitney U-Test. Report from the Quality Verification Program.
19721

About Larry E. Toothaker

Larry E. Toothaker is a scholar working on Statistics and Probability, Management Science and Operations Research, Statistics, Probability and Uncertainty, Developmental and Educational Psychology and Food Science, having authored 31 papers that have together received 2.1k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (11 papers), Advanced Statistical Methods and Models (8 papers), Statistical Methods in Clinical Trials (6 papers), Statistical Methods and Bayesian Inference (4 papers), Advanced Statistical Process Monitoring (3 papers), Behavioral and Psychological Studies (2 papers), Forecasting Techniques and Applications (2 papers) and Sensory Analysis and Statistical Methods (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (281 citations), Statistics and Probability (205 citations), Social Psychology (439 citations), Applied Psychology (105 citations) and Clinical Psychology (430 citations). Larry E. Toothaker has collaborated with scholars based in United States and Canada. Frequent co-authors include Stephen G. West, Leona S. Aiken, Peter Lynn, Joseph Lee Rodgers, W. Alan Nicewander, Jorge L. Mendoza, H. J. Keselman, Diana Davis, Lise DeShea and David Bard. Their work appears in journals such as Journal of the American Statistical Association, Journal of the Operational Research Society, Journal of Educational and Behavioral Statistics, Psychological Bulletin and Educational and Psychological Measurement.

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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