Consultant: Roger L. Brown, Ph.D.

Over 40 years of consulting experience

Distinguished Professor of Research Methodology and Applied Statistics

University of Wisconsin - Madision, USA

UNIVERSITY DEGREES:

B.S. Degree, May 1974, University of Wisconsin. Major emphasis: Behavioral Measurement and Statistics, Minor emphasis: Occupational Health.
M.S. Deqree, May 1975, University of Wisconsin. Major emphasis: Behavioral Psychology/Measurement Minor emphasis: Statistics.
Ph.D. Degree,December 1978, University of Wisconsin. Major emphasis: Educational Psychology Research Methods and Analysis, Minor emphasis: Epidemiology/Applied Statistics.
Post-Doctoral Study Program, 1984-1986, University of Wisconsin, Major emphasis: Structural equation modeling, statistics & methods.
Post-Doctoral Study Program, 1990-1991, University of London, England, Major emphasis: Multilevel Statistical modeling.

FORMAL POST GRADUATE STUDY:

Princeton University 1982 Area of Study: Survival analysis and multivariate graphics.
Medical College of Wisc. 1983-1984 Area of Study: Biostatistics and Applied statistics
DePaul University 1984 Area of Study: Factor and cluster analysis.
Johns Hopkins University 1984 Area of Study: Epidemiology.
Marquette University 1985 Area of Study: Nonparametric statistics.
University of Wisconsin 1987 Area of Study: Structural equation modeling

POST GRADUATE COURSEWORK

SPSS Institute Chicago 1984 Confirmatory factor analysis.
Amer. Statistical Assoc. 1985 Regression techniques.
Amer. Statistical Assoc. 1986 Bootstrap techniques.
Amer. Statistical Assoc. 1986 Categorical analysis.
Amer. Statistical Assoc. 1986 Nonparametrics.

CERTIFICATIONS

HIPPA Certification 2017-2020
Human Subjects Certification - Biomedical 2017-2020
Human Subjects Certification - Social/Behavioral 2017-2020

AREA OF EXPERTISE: Structural equation modeling, hierarchical linear modeling, applied statistics, research design techniques, quantitative methods in health and behavioral systems, epidemiologic research methods, Meta-analysis and Meta-regression, statistical and design consulting, learning theory, computer systems development, internet development, and computer programming.

RG (ResearchGate Score)

The RG Score is a metric that measures scientific reputation based on how all of your work is received by your peers. We believe that fellow researchers are the best judges of each other's work, and that all your research, published or not, deserves credit. With this in mind, your RG Score is based on how both your published research and contributions to ResearchGate are received by your peers.

A contribution is anything you share on ResearchGate or add to your profile, from published papers and questions and answers, to negative results and raw data. Our algorithm looks at how your peers receive and evaluate your contributions and who these peers are. This means that the higher the scores of those who interact with your research, the more your own score will increase.

In contrast to more traditional metrics, the RG Score focuses on you, an ever-growing community of specialists, and puts reputation back into the hands of researchers.

h-index score

The h-index is calculated based on two bits of information: the total number of papers published (Np) and the number of citations (Nc) for each paper. It is defined by how many h of a researcher’s publications (Np) have at least h citations each. This means that if you have one publication with at least one citation, your h-index is 1, if you have two publications with at least two citations each, your h-index would be 2, and so on.

On ResearchGate, you'll see two separate h-indices displayed for each author. The first metric is an h-index that includes self-citations. The second h-index displayed excludes self-citations so that anyone looking at the numbers can compare them and quickly gauge whether other authors are paying attention to a researcher's work.

Please note: The h-index takes into account only citations of your work from scientific literature, reflecting impact in the scientific community. Furthermore, it is calculated based on the publications in your profile.

PROFESSIONAL ORGANIZATIONS:

American Statistical Association
Psychometric Society
American Psychological Association (statistics section)
American Evaluation Association
American Public Health Association (statistics section)
International Association for Statistical Computing
Society of Engineering Psychologists