Quantitative psychology

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Quantitative psychology is a field of scientific study that focuses on the research design and methodology, mathematical modeling, and statistical analysis of human attributes and psychological processes.[1] Quantitative psychologists research psychometrics, the study of test construction and validation, the general problems of the measurement of behavior; and the application of quantitative methods to research design and other methodological topics.[2]

Notable research areas in psychometrics include item response theory and computer adaptive testing. Other research areas include modeling psychological processes through time series analysis, such as in fMRI data collection, and structural equation modeling, social network analysis, human decision science, and statistical genetics.

Quantitative psychology is today recognized as its own branch of psychology, with doctoral degree programs awarded in this specialization in some universities. Quantitative psychologists have traditionally been in very high demand in industry, government, and academia. Their combined training in both social science and quantitative methodology gives them a unique skill set and enables them to bring their knowledge to bear on both applied and theoretical problems in a variety of areas. Companies that produce standardized tests such as College Board, Educational Testing Service, and American College Testing often provide jobs and internships to students and professionals in quantitative psychology.


Francis Galton's correlation diagram, 1875.

As opposed to qualitative research, quantitative research focuses on the examination of theories using techniques from mathematics and logic. Quantitative psychology has its roots in early experimental psychology when the scientific method was first applied to psychological phenomena. Gustav Fechner, Wilhelm Wundt, and Hermann von Helmholtz are recognized as some of the founders of modern experimental psychology. In particular, Fechner demonstrated that because the mind was susceptible to measurement and mathematical treatment, psychology had the potential to become a quantified science. Theorists such as Immanuel Kant had previously stated that this was impossible, and that therefore, a science of psychology was also impossible.

Intelligence testing[edit]

Quantitative psychology as a discipline has a history in mental testing, especially intelligence testing, and behavioral measurement. The English statistician Francis Galton made the first attempt at creating a standardized test for rating a person's intelligence. A pioneer of psychometrics and the application of statistical methods to the study of human diversity and the study of inheritance of human traits, he believed that intelligence was largely a product of heredity (by which he did not mean genes, although he did develop several pre-Mendelian theories of particulate inheritance).[3] He hypothesized that there should exist a correlation between intelligence and other desirable traits like good reflexes, muscle grip, and head size.[4] He set up the first mental testing centre in the world in 1882 and he published "Inquiries into Human Faculty and Its Development" in 1883, in which he set out his theories.

Statistical techniques[edit]

Current IQ tests typically have standard scores such that the mean score is 100 with each standard deviation from the mean counting for 15 IQ points.

The most common mathematical techniques used by psychologists come from statistics. Classical statistics include the z-test and the binomial test. Pearson introduced the correlation coefficient and the chi-squared test. The 1900-1920 period saw the t-test (Student, 1908), the ANOVA (Fischer, 1925) and a non-parametric correlation coefficient (Spearman, 1904). However, a considerably larger number of tests were developed past 1965 (e.g., all the multivariate tests). Popular techniques (such as Hierarchical Linear Model, Arnold, 1992, Structural Equation Modeling, Byrne, 1996 and Independent Component Analysis, Hyvarinën, Karhunen and Oja, 2001) all have less than 20 years of existence.[5]

In 1946, psychologist Stanley Smith Stevens introduced a theory of levels of measurement in a paper that is often used by statisticians today.[6] The levels of measurement he proposed were Nominal, Ordinal, Ratio, and Interval.

While a New York University professor of psychology, Jacob Cohen researched quantitative methods involving statistical power and effect size, which helped to lay foundations for current statistical meta-analysis and the methods of estimation statistics.[7] He gave his name to Cohen's kappa and Cohen's d.

In 1990, an influential paper titled "Graduate Training in Statistics, Methodology, and Measurement in Psychology" was published in the American Psychologist journal. This article discussed the need for increased and up-to-date training in quantitative methods for psychology graduate programs in the United States.[8]

Education and training[edit]


Training for quantitative psychology can begin informally at the undergraduate level. While most graduate schools do not require prerequisite coursework, many schools recommend that students have some coursework in psychology and complete the full college sequence of calculus (including multivariate calculus) and a course in linear algebra. Quantitative coursework in other fields such as economics and research methods and statistics courses for psychology majors are also helpful. Historically, however, students without all these courses have been accepted if other aspects of their application show promise. Some schools also offer formal minors in areas related to quantitative psychology. For example, the University of Kansas offers a minor in "Social and Behavioral Sciences Methodology" that provides advanced training in research methodology, applied data analysis, and practical research experience relevant to quantitative psychology.[9] Coursework in computer science is also useful. Mastery of an object-oriented programming language or learning to write code in SPSS or R is useful for the type of data analysis performed in graduate school.


Peabody College (pictured) at Vanderbilt University houses their Quantitative Methods program.

Quantitative psychologists may possess an eponymous doctoral degree, or a degree in a closely related field such as Industrial/Organizational Psychology. These degrees are commonly offered by universities in the United States and Canada. Select universities also offer terminal masters degrees, such as the terminal Master of Education in "Quantitative Methods" at Vanderbilt University. Due to its interdisciplinary nature and depending on the research focus of the university, these programs may be housed in a school's college of education or in their psychology department. Programs that focus especially in educational research and psychometrics are often part of education or educational psychology departments. These programs may therefore have different names mentioning "research methods" or "quantitative methods", such as the "Research and Evaluation Methodology" Ph.D. from the University of Florida or the "Quantitative Methods" degree at the University of Pennsylvania. However, some universities may have separate programs in their two colleges. For example, the University of Washington has a "Quantitative psychology" degree in their psychology department and a separate "Measurement & Statistics" Ph.D. in their college of education. Universities with a mathematical focus include McGill University's "Quantitative Psychology and Modeling" program and Purdue University's "Mathematical and Computational Cognitive Science" degrees. Students with an interest in modeling biological or functional data may go into related fields such as biostatistics or computational neuroscience.

Doctoral programs typical accept students with only bachelors degrees, although some schools may require a masters degree before applying. After the first two years of studies, graduate students typically earn a Masters of Art in Psychology, Masters of Science in Statistics or Applied statistics, or both.

Additionally, several universities offer minor concentrations in quantitative methods, such as New York University.

Shortage of qualified applicants[edit]

In August 2005, the American Psychological Association expressed the need for more quantitative psychologists in the industry—for every PhD awarded in the subject, there were about 2.5 quantitative psychologist position openings.[10] Due to a lack of applicants in the field, the APA created a Task Force to study the state of quantitative psychology and predict its future. Domestic U.S. applicants are especially lacking. The majority of international applicants come from Asian countries, especially South Korea and China.[11] In response to the lack of qualified applicants, the APA Council of Representatives authorized a special task force in 2006.[12] The task force was chaired by Leona S. Aiken from Arizona State University.

For various reasons, some universities have stopped offering quantitative psychology degrees. Notably, the University of Chicago used to offer a degree in "Research Methodology and Quantitative Psychology" and the University of Toronto used to offer a degree in "Educational Measurement".

Professional organizations[edit]

Quantitative psychology is served by several scientific organizations. These include the Psychometric Society, Division 5 of the American Psychological Association (Evaluation, Measurement and Statistics), the Society of Multivariate Experimental Psychology, and the European Society for Methodology. Associated disciplines include statistics, mathematics, educational measurement, educational statistics, sociology, and political science. Several scholarly journals reflect the efforts of scientists in these areas, notably Psychometrika, Multivariate Behavioral Research, Structural Equation Modeling and Psychological Methods.


There have been critiques about the use of quantitative methods in psychological research. Notably, Professor Joel Michell from the University of Sydney has written extensively on the use and misuse of psychometric techniques.

Notable people[edit]

The following is a select list of quantitative psychologists or people who have contributed to the field:

See also[edit]


  1. ^ "Quantitative Psychology". American Psychological Association. Retrieved 13 December 2014. 
  2. ^ "Classification of Instructional Programs - Psychometrics and Quantitative Psychology". The Integrated Postsecondary Education Data System. Retrieved 19 January 2015. 
  3. ^ Bulmer, M. (1999). The development of Francis Galton's ideas on the mechanism of heredity. Journal of the History of Biology, 32(3), 263-292. Cowan, R. S. (1972). Francis Galton's contribution to genetics. Journal of the History of Biology, 5(2), 389-412. See also Burbridge, D. (2001). Francis Galton on twins, heredity and social class. British Journal for the History of Science, 34(3), 323-340.
  4. ^ Fancher, R. E. (1983). Biographical origins of Francis Galton's psychology. Isis, 74(2), 227-233.
  5. ^ Cousineau, Denis (2005). "The rise of quantitative methods in psychology". Tutorial in Quantitative Methods for Psychology 1 (1): 1–3. Retrieved 1 January 2015. 
  6. ^ Stevens, Stanley Smith (June 7, 1946). "On the Theory of Scales of Measurement". Science 103 (2684): 677–680. doi:10.1126/science.103.2684.677. PMID 17750512. Retrieved September 16, 2010. 
  7. ^ Cohen's entry in Encyclopedia of Statistics in Behavioral Science
  8. ^ Aiken, Leona S.; West, Stephen G. (June 1990). "Graduate Training in Statistics, Methodology, and Measurement in Psychology: A Survey of PhD Programs in North America". American Psychologist 45 (6): 721–734. Retrieved 19 January 2015. 
  9. ^ "Undergraduate Minor in Social and Behavioral Sciences Methodology". University of Kansas. Retrieved 13 December 2014. 
  10. ^ Report of the Task Force for Increasing the Number of Quantitative Psychologists, page 1. American Psychological Association. Retrieved February 15, 2012
  11. ^ "Report of the Task Force for Increasing the Number of Quantitative Psychologists". American Psychological Association. Retrieved 13 December 2014. 
  12. ^ "Quantitative Psychology". American Psychological Association. Retrieved 19 January 2015. 

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