John C. Callender

808 total citations
20 papers, 640 citations indexed

About

John C. Callender is a scholar working on Management Science and Operations Research, Statistics and Probability and Statistics, Probability and Uncertainty. According to data from OpenAlex, John C. Callender has authored 20 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Science and Operations Research, 7 papers in Statistics and Probability and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in John C. Callender's work include Advanced Statistical Methods and Models (4 papers), Psychometric Methodologies and Testing (4 papers) and Statistical Methods in Clinical Trials (3 papers). John C. Callender is often cited by papers focused on Advanced Statistical Methods and Models (4 papers), Psychometric Methodologies and Testing (4 papers) and Statistical Methods in Clinical Trials (3 papers). John C. Callender collaborates with scholars based in United States, Netherlands and Germany. John C. Callender's co-authors include H. G. Osburn, Thomas W. Dougherty, Daniel B. Turban, Ronald J. Ebert, Steven D. Ashworth and Jack M. Greener and has published in prestigious journals such as Journal of Applied Psychology, Personnel Psychology and Educational and Psychological Measurement.

In The Last Decade

John C. Callender

19 papers receiving 544 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John C. Callender United States 11 157 132 130 123 119 20 640
Mary L. Tenopyr United States 11 134 0.9× 161 1.2× 41 0.3× 172 1.4× 90 0.8× 29 633
John Orr United Kingdom 9 48 0.3× 133 1.0× 49 0.4× 87 0.7× 80 0.7× 36 482
Vern W. Urry United Kingdom 6 186 1.2× 74 0.6× 38 0.3× 71 0.6× 65 0.5× 7 479
Robin I. Lissak United States 9 188 1.2× 110 0.8× 18 0.1× 91 0.7× 207 1.7× 13 657
Jerard F. Kehoe United States 9 84 0.5× 103 0.8× 27 0.2× 97 0.8× 72 0.6× 21 432
Steven D. Ashworth United States 7 49 0.3× 191 1.4× 43 0.3× 160 1.3× 79 0.7× 12 532
P. Richard Jeanneret United States 11 108 0.7× 206 1.6× 40 0.3× 224 1.8× 108 0.9× 18 801
Narendra Mulani United States 9 70 0.4× 80 0.6× 21 0.2× 86 0.7× 79 0.7× 11 480
Robert A. Jako United States 8 73 0.5× 174 1.3× 28 0.2× 120 1.0× 120 1.0× 10 554
Michael P. Kirsch United States 6 80 0.5× 229 1.7× 27 0.2× 191 1.6× 93 0.8× 9 628

Countries citing papers authored by John C. Callender

Since Specialization
Citations

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

Fields of papers citing papers by John C. Callender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Callender. 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 John C. Callender. The network helps show where John C. Callender may publish in the future.

Co-authorship network of co-authors of John C. Callender

This figure shows the co-authorship network connecting the top 25 collaborators of John C. Callender. A scholar is included among the top collaborators of John C. Callender 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 John C. Callender. John C. Callender is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dougherty, Thomas W., Daniel B. Turban, & John C. Callender. (1994). Confirming first impressions in the employment interview: A field study of interviewer behavior.. Journal of Applied Psychology. 79(5). 659–665. 8 indexed citations
2.
Dougherty, Thomas W., Daniel B. Turban, & John C. Callender. (1994). Confirming first impressions in the employment interview: A field study of interviewer behavior.. Journal of Applied Psychology. 79(5). 659–665. 132 indexed citations
3.
Osburn, H. G. & John C. Callender. (1992). A note on the sampling variance of the mean uncorrected correlation in meta-analysis and validity generalization.. Journal of Applied Psychology. 77(2). 115–122. 54 indexed citations
4.
Ashworth, Steven D., et al.. (1992). THE EFFECTS OF UNREPRESENTED STUDIES ON THE ROBUSTNESS OF VALIDITY GENERALIZATION RESULTS. Personnel Psychology. 45(2). 341–361. 17 indexed citations
5.
Osburn, H. G. & John C. Callender. (1990). Bias in validity generalization variance estimates: A reply to Hoben Thomas.. Journal of Applied Psychology. 75(3). 328–333. 2 indexed citations
6.
Callender, John C. & H. G. Osburn. (1988). Unbiased estimation of sampling variance of correlations.. Journal of Applied Psychology. 73(2). 312–315. 28 indexed citations
7.
Dougherty, Thomas W., Ronald J. Ebert, & John C. Callender. (1986). Policy capturing in the employment interview.. Journal of Applied Psychology. 71(1). 9–15. 1 indexed citations
8.
Dougherty, Thomas W., Ronald J. Ebert, & John C. Callender. (1986). Policy capturing in the employment interview.. Journal of Applied Psychology. 71(1). 9–15. 77 indexed citations
9.
Osburn, H. G., John C. Callender, Jack M. Greener, & Steven D. Ashworth. (1983). Statistical power of tests of the situational specificity hypothesis in validity generalization studies: A cautionary note.. Journal of Applied Psychology. 68(1). 115–122. 44 indexed citations
10.
Callender, John C., et al.. (1983). Statistical power of tests of the situational specificity hypothesis in validity generalization studies: A cautionary note.. Journal of Applied Psychology. 68(1). 115–122. 1 indexed citations
11.
Callender, John C., H. G. Osburn, Jack M. Greener, & Steven D. Ashworth. (1982). Multiplicative validity generalization model: Accuracy of estimates as a function of sample size and mean, variance, and shape of distribution of true validities.. Journal of Applied Psychology. 67(6). 859–867. 29 indexed citations
12.
Callender, John C. & H. G. Osburn. (1982). Another view of progress in validity generalization: Reply to Schmidt, Hunter, and Pearlman.. Journal of Applied Psychology. 67(6). 846–852. 5 indexed citations
13.
16.
Callender, John C., et al.. (1980). Development and test of a new model for validity generalization.. Journal of Applied Psychology. 65(5). 543–558. 3 indexed citations
17.
Callender, John C. & H. G. Osburn. (1980). Development and test of a new model for validity generalization.. Journal of Applied Psychology. 65(5). 543–558. 102 indexed citations
18.
Callender, John C. & H. G. Osburn. (1979). AN EMPIRICAL COMPARISON OF COEFFICIENT ALPHA, GUTTMAN'S LAMBDA ‐ 2, AND MSPLIT MAXIMIZED SPLIT‐HALF RELIABILITY ESTIMATES. Journal of Educational Measurement. 16(2). 89–99. 60 indexed citations
19.
Callender, John C. & H. G. Osburn. (1977). A Computer Program for Maximizing and Cross-Validating Split-Half Reliability Coefficients. Educational and Psychological Measurement. 37(3). 787–789. 6 indexed citations
20.
Callender, John C. & H. G. Osburn. (1977). A Method for Maximizing Split-Half Reliability Coefficients. Educational and Psychological Measurement. 37(4). 819–825. 24 indexed citations

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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