James Algina

15.3k total citations · 3 hit papers
180 papers, 11.1k citations indexed

About

James Algina is a scholar working on Statistics and Probability, Management Science and Operations Research and Education. According to data from OpenAlex, James Algina has authored 180 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Statistics and Probability, 53 papers in Management Science and Operations Research and 32 papers in Education. Recurrent topics in James Algina's work include Advanced Statistical Methods and Models (49 papers), Statistical Methods in Clinical Trials (41 papers) and Statistical Methods and Bayesian Inference (35 papers). James Algina is often cited by papers focused on Advanced Statistical Methods and Models (49 papers), Statistical Methods in Clinical Trials (41 papers) and Statistical Methods and Bayesian Inference (35 papers). James Algina collaborates with scholars based in United States, Canada and Türkiye. James Algina's co-authors include Linda Crocker, Stephen Olejnik, H. J. Keselman, Sheila M. Eyberg, Stephen R. Boggs, Rhonda K. Kowalchuk, Randall D. Penfield, Patricia T. Ashton, T. C. Oshima and Ronald K. Hambleton and has published in prestigious journals such as New England Journal of Medicine, Psychological Bulletin and Neuropsychologia.

In The Last Decade

James Algina

176 papers receiving 9.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Introduction to Classical and Modern Test Theory

1986 3.4k citations James Algina et al. profile →
Generalized Eta and Omega Squared Statistics: Measures of Effect Size for Some Common Research Designs.

2003 1.2k citations James Algina et al. Psychological Methods profile →
Measures of Effect Size for Comparative Studies: Applications, Interpretations, and Limitations

2000 537 citations James Algina et al. profile →

Peers

Countries citing papers authored by James Algina

Since Specialization

Citations

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

Fields of papers citing papers by James Algina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Algina. 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 James Algina. The network helps show where James Algina may publish in the future.

Co-authorship network of co-authors of James Algina

This figure shows the co-authorship network connecting the top 25 collaborators of James Algina. A scholar is included among the top collaborators of James Algina based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Algina. James Algina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Best Linear Unbiased Prediction of Latent Means in Three-Level Data 2021 ·The Journal of Experimental Education ·Burak Aydın, James Algina	2
2	Measuring Teacher Implementation of the "BEST in CLASS" Intervention Program and Corollary Child Outcomes. 2014 ·Grantee Submission ·Maureen A. Conroy, Kevin S. Sutherland, James Algina, (unknown), José R. Martínez, Kelly Whalon	2
3	Measuring Teacher Implementation of the BEST in CLASS Intervention Program and Corollary Child Outcomes 2014 ·Journal of Emotional and Behavioral Disorders ·Maureen A. Conroy, Kevin S. Sutherland, James Algina, (unknown), José R. Martínez, Kelly Whalon	65
4	A Robust Root Mean Square Standardized Effect Size in One-Way Fixed-Effects ANOVA 2011 ·Journal of Modern Applied Statistical Methods ·Guili Zhang, James Algina	3
5	The Validation of One Parental Involvement Measurement in Virtual Schooling. 2010 ·Feng Liu, Erik W. Black, James Algina, Terence Cavanaugh, Kara Dawson	74
6	Coverage Performance of the Non-Central F-based and Percentile Bootstrap Confidence Intervals for Root Mean Square Standardized Effect Size in One-Way Fixed-Effects ANOVA 2008 ·Journal of Modern Applied Statistical Methods ·Guili Zhang, James Algina	2
7	Confidence Intervals for the Squared Multiple Semipartial Correlation Coefficient 2008 ·Journal of Modern Applied Statistical Methods ·James Algina, H. J. Keselman, Randall D. Penfield	2
8	Type I Error Rates of the Kenward-Roger Adjusted Degree of Freedom F-test for a Split-Plot Design with Missing Values 2007 ·Journal of Modern Applied Statistical Methods ·Miguel A. Padilla, James Algina	12
9	Confidence Intervals For An Effect Size When Variances Are Not Equal 2006 ·Journal of Modern Applied Statistical Methods ·James Algina, H. J. Keselman, Randall D. Penfield	15
10	Multiple Comparison Procedures, Trimmed Means And Transformed Statistics 2006 ·Journal of Modern Applied Statistical Methods ·Rhonda K. Kowalchuk, H. J. Keselman, Rand R. Wilcox, James Algina	9
11	Adaptive robust estimation and testing 2006 ·British Journal of Mathematical and Statistical Psychology ·H. J. Keselman, Rand R. Wilcox, Lisa M. Lix, James Algina, Katherine Fradette	21
12	Robust Confidence Intervals for Effect Size in the Two-Group Case 2005 ·Journal of Modern Applied Statistical Methods ·H. J. Keselman, James Algina, Katherine Fradette	4
13	An Alternative to Cohen's Standardized Mean Difference Effect Size: A Robust Parameter and Confidence Interval in the Two Independent Groups Case. 2005 ·Psychological Methods ·James Algina, H. J. Keselman, Randall D. Penfield	161
14	A Comparison Of Methods For Longitudinal Analysis With Missing Data 2004 ·Journal of Modern Applied Statistical Methods ·James Algina, H. J. Keselman	5
15	Type I Error Rates For A One Factor Within-Subjects Design With Missing Values 2004 ·Journal of Modern Applied Statistical Methods ·Miguel A. Padilla, James Algina	11
16	A Power Comparison of Robust Test Statistics Based On Adaptive Estimators 2004 ·Journal of Modern Applied Statistical Methods ·H. J. Keselman, Rand R. Wilcox, James Algina, (unknown)	2
17	Assessing Treatment Effects in Randomized Longitudinal Two-Group Designs with Missing Observations 2004 ·Journal of Modern Applied Statistical Methods ·James Algina, H. J. Keselman	2
18	Type I Error Rates Of Four Methods For Analyzing Data Collected In A Groups vs Individuals Design 2003 ·Journal of Modern Applied Statistical Methods ·(unknown), James Algina	1
19	Conventional And Robust Paired And Independent-Samples t Tests: Type I Error And Power Rates 2003 ·Journal of Modern Applied Statistical Methods ·Katherine Fradette, H. J. Keselman, Lisa M. Lix, James Algina, Rand R. Wilcox	35
20	Analyzing Group by Time Effects in Longitudinal Two-Group Randomized Trial Designs With Missing Data 2003 ·Journal of Modern Applied Statistical Methods ·James Algina, H. J. Keselman, Abdul Rahim Othman	1

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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