Psychological statistics is application of formulas, theorems, numbers and laws to psychology. Statistical methods for psychology include development and application statistical theory and methods for modeling psychological data. These methods include psychometrics, factor analysis, experimental designs, and Bayesian statistics. The article also discusses journals in the same field.
Calyampudi Radhakrishna Rao was an Indian-American mathematician and statistician. He was professor emeritus at Pennsylvania State University and Research Professor at the University at Buffalo. Rao was honoured by numerous colloquia, honorary degrees, and festschrifts and was awarded the US National Medal of Science in 2002. The American Statistical Association has described him as "a living legend” whose work has influenced not just statistics, but has had far reaching implications for fields as varied as economics, genetics, anthropology, geology, national planning, demography, biometry, and medicine." The Times of India listed Rao as one of the top 10 Indian scientists of all time.
Quantitative psychology is a field of scientific study that focuses on the mathematical modeling, research design and methodology, and statistical analysis of psychological processes. It includes tests and other devices for measuring cognitive abilities. Quantitative psychologists develop and analyze a wide variety of research methods, including those of psychometrics, a field concerned with the theory and technique of psychological measurement.
Samarendra Nath Roy was an Indian-born American mathematician and an applied statistician.
Multilevel models are statistical models of parameters that vary at more than one level. An example could be a model of student performance that contains measures for individual students as well as measures for classrooms within which the students are grouped. These models can be seen as generalizations of linear models, although they can also extend to non-linear models. These models became much more popular after sufficient computing power and software became available.
Tom A. B. Snijders is professor of Statistics in the Social Sciences at Nuffield College, Oxford, one of the constituent colleges of the University of Oxford. He is also professor of Methodology at the University of Groningen, a position he has held for more than twenty years.
Ravindra Khattree is an Indian-American statistician and a distinguished professor of statistics at Oakland University and a co-director of the Center for Data Science and Big Data Analytics at the same university. His contribution to the Fountain–Khattree–Peddada Theorem in Pitman measure of closeness is one of the important results of his work. Khattree is the coauthor of two books and has coedited two volumes. He has served as an associate editor of the Communications in Statistics journal and the editor of the Interstat online journal. He was Chief editor of Journal of Statistics and Applications for more than ten years. He is an elected fellow of the American Statistical Association.
Michael Louis Friendly is an American-Canadian psychologist, Professor of Psychology at York University in Ontario, Canada, and director of its Statistical Consulting Service, especially known for his contributions to graphical methods for categorical and multivariate data, and on the history of data and information visualisation.
Ingram Olkin was a professor emeritus and chair of statistics and education at Stanford University and the Stanford Graduate School of Education. He is known for developing statistical analysis for evaluating policies, particularly in education, and for his contributions to meta-analysis, statistics education, multivariate analysis, and majorization theory.
Jacqueline Meulman is a Dutch statistician and professor emerita of Applied Statistics at the Mathematical Institute of Leiden University.
Willem Jan Heiser is a Dutch social scientist who was Professor of Psychology, Statistical Methods and Data Theory at the Leiden University between 1989 and 2014.
Johannes Petrus "John" van de Geer was a Dutch psychologist, and Professor of Experimental Psychology at Leiden University, particularly known for his "Introduction to multivariate analysis for the social sciences".
Josephus Johannes Cornelis Maria (Joop) Hox is a Dutch psychologist and Professor of Social Science Methodology at the Utrecht University, known for his work in the field of social research method such as survey research and multilevel modeling.
Jeffrey Scott Tanaka was an American psychologist and statistician, known for his work in educational psychology, social psychology and various fields of statistics including structural equation modeling.
Patrick James Curran is an American psychologist and statistician. He is a professor of quantitative psychology at the University of North Carolina, where he is also a faculty member at the Center for Developmental Science.
Daniel John Bauer is an American statistician, professor, and director of the quantitative psychology program at the University of North Carolina, where he is also on the faculty at the Center for Developmental Science. He is known for rigorous methodological work on latent variable models and is a proponent of integrative data analysis, a meta-analytic technique that pools raw data across multiple independent studies.
Mine Çetinkaya-Rundel is a Turkish-American statistician and professor of the practice at Duke University, and a professional educator at RStudio. She is the author of several open source statistics textbooks and is an instructor for Coursera. She is the chair-elect of the Statistical Education Section of the American Statistical Association. Previously, she was a senior lecturer at University of Edinburgh.
Ellen Louise "E.L." Hamaker is a Dutch-American psychologist, and statistician. Since 2018 she has been a full professor at Utrecht University, holding the chair Longitudinal Data Analysis at the Department of Methodology and Statistics. Her work focuses on the development of statistical models for the analysis of intensive longitudinal data in psychology, mainly within the frameworks of structural equation modeling and time series analysis.
Maria Emelianenko is a Russian-American applied mathematician and materials scientist known for her work in numerical algorithms, scientific computing, grain growth, and centroidal Voronoi tessellations. She is a professor of mathematical sciences at George Mason University.
