David B. Flora

110 papers receiving 7.3k 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 · 350 citations
3500+7+14Years since publication50010001.5k2.0k

Peers

David B. Flora
Comparison fields: 5 of 202
  • Clinical Psychology 2.1k
  • Applied Psychology 436
  • Experimental and Cognitive Psychology 1.0k
  • Social Psychology 1.2k
  • Psychiatry and Mental health 583
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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 115 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 →
20042358
2 2004390
3 2008359
4 2011358
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 →
2020350
6 2017233
7 2019195
8 2017189
9 2012174
10 2011140
11 1997126
12 2008124
13 2009113
14 201595
15 201291
16 200885
17 201179
18 202079
19 201178
20 201976

About David B. Flora

David B. Flora is a scholar working on Clinical Psychology, Pediatrics, Perinatology and Child Health, Pharmacy, Water Science and Technology and Management Science and Operations Research, having authored 115 papers that have together received 7.7k indexed citations. Recurring topics across this work include Pediatric Pain Management Techniques (20 papers), Child and Adolescent Psychosocial and Emotional Development (20 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 (7 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Clinical Psychology (2.1k citations), Applied Psychology (436 citations), Experimental and Cognitive Psychology (1.0k citations), Social Psychology (1.2k citations) and Psychiatry and Mental health (583 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 Michael King, Jolynn C. X. Pek, Robert Philip Chalmers, Shelley A. Fahlman, John D. Eastwood, Kimberley B. Mercer-Lynn, Maggie E. Toplak and Jessica Kay Flake. Their work appears in journals such as Pain, Journal of Pediatric Psychology, Assessment, Educational and Psychological Measurement and Structural Equation Modeling A Multidisciplinary Journal.

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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