David B. Flora

108 papers receiving 7.0k citations

David B. Flora's Hit Papers

Your Coefficient Alpha Is Probably Wrong, but Which Coefficient Omega Is Right? A Tutorial on Using R to Obtain Better Reliability Estimates 2020 · 325 citations
3250+7+14Years since publication50010001.5k2.0k

Peers

David B. Flora
Comparison fields: 5 of 201
  • Clinical Psychology 2.0k
  • Applied Psychology 431
  • Experimental and Cognitive Psychology 986
  • Social Psychology 1.2k
  • Psychiatry and Mental health 523
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Citations per year

Countries citing papers authored by David B. Flora

Since Specialization
Citations

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

Fields of papers citing papers by David B. Flora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David B. Flora. 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 David B. Flora. The network helps show where David B. Flora may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Empirical Evaluation of Alternative Methods of Estimation for Confirmatory Factor Analysis With Ordinal Data.
Hit paper breakdown →
20042350
2 2004391
3 2011345
4 2008344
5
Your Coefficient Alpha Is Probably Wrong, but Which Coefficient Omega Is Right? A Tutorial on Using R to Obtain Better Reliability Estimates
Hit paper breakdown →
2020325
6 2017224
7 2017181
8 2019180
9 2012169
10 2011138
11 2008125
12 1997124
13 2009111
14 201595
15 201291
16 200887
17 201181
18 202079
19 201178
20 200274

About David B. Flora

David B. Flora is a scholar working on Clinical Psychology, Pediatrics, Perinatology and Child Health, Water Science and Technology, Management Science and Operations Research and Computer Networks and Communications, having authored 112 papers that have together received 7.4k indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (20 papers), Pediatric Pain Management Techniques (19 papers), Fluoride Effects and Removal (12 papers), Psychometric Methodologies and Testing (11 papers), Advanced Statistical Modeling Techniques (10 papers), Infant Health and Development (9 papers), Attention Deficit Hyperactivity Disorder (6 papers) and Mental Health Research Topics (5 papers). The work is most often cited by research in Clinical Psychology (2.0k citations), Applied Psychology (431 citations), Experimental and Cognitive Psychology (986 citations), Social Psychology (1.2k citations) and Psychiatry and Mental health (523 citations). David B. Flora has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Patrick J. Curran, Laurie Chassin, Kevin M. King, Jolynn Pek, R. Philip Chalmers, John D. Eastwood, Shelley A. Fahlman, Kimberley B. Mercer-Lynn, Maggie E. Toplak and Jessica Kay Flake. Their work appears in journals such as Pain, Assessment, Group Dynamics Theory Research and Practice, Structural Equation Modeling A Multidisciplinary Journal and Journal of Pediatric Psychology.

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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