Roger E. Millsap

117 papers receiving 7.5k citations

Roger E. Millsap's Hit Papers

Statistical Approaches to Measurement Invariance 2012 · 1.2k citations
1.2k0+7+14Years since publication2505007501000

Peers

Roger E. Millsap
Comparison fields: 5 of 183
  • Management Science and Operations Research 1.5k
  • Applied Psychology 635
  • Clinical Psychology 2.6k
  • Experimental and Cognitive Psychology 1.4k
  • Statistics and Probability 712
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Gregory R. Hancock United States
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Citations per year

Countries citing papers authored by Roger E. Millsap

Since Specialization
Citations

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

Fields of papers citing papers by Roger E. Millsap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roger E. Millsap, 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 Roger E. Millsap Line = papers co-authored together Roger E. Millsap links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Statistical Approaches to Measurement Invariance
Hit paper breakdown →
20121170
2
Assessing Factorial Invariance in Ordered-Categorical Measures
Hit paper breakdown →
2004681
3 1993396
4 1993375
5 2004335
6 2000237
7 2016221
8 2002189
9 2007155
10 1992152
11 1994147
12 2005138
13 2008121
14 1986120
15 1995120
16 1992115
17 2010112
18 2008101
19 1997101
20
Investigating measurement invariance using confirmatory factor analysis.
201299

About Roger E. Millsap

Roger E. Millsap is a scholar working on Management Science and Operations Research, Statistics and Probability, Clinical Psychology, Education and Computer Networks and Communications, having authored 117 papers that have together received 8.1k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (25 papers), Child and Adolescent Psychosocial and Emotional Development (16 papers), Advanced Statistical Modeling Techniques (16 papers), Advanced Statistical Methods and Models (14 papers), Early Childhood Education and Development (12 papers), Family Dynamics and Relationships (8 papers), Parental Involvement in Education (8 papers) and Statistical Methods and Applications (6 papers). The work is most often cited by research in Management Science and Operations Research (1.5k citations), Applied Psychology (635 citations), Clinical Psychology (2.6k citations), Experimental and Cognitive Psychology (1.4k citations) and Statistics and Probability (712 citations). Roger E. Millsap has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Howard T. Everson, William Meredith, Oi‐Man Kwok, Nancy A. Gonzales, Larry E. Dumka, Stanley A. Mulaik, Richard B. Reilly, James W. Smither, Irwin N. Sandler and Sharlene A. Wolchik. Their work appears in journals such as Journal of Applied Psychology, Multivariate Behavioral Research, Psychometrika, Journal of Consulting and Clinical Psychology and Psychological Methods.

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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