Quantitative psychology

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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. [1]

Contents

Psychologists have long contributed to statistical and mathematical analysis, and quantitative psychology is now a specialty recognized by the American Psychological Association. Doctoral degrees are awarded in this field in a number of universities in Europe and North America, and quantitative psychologists have been in high demand in industry, government, and academia. Their training in both social science and quantitative methodology provides a unique skill set for solving both applied and theoretical problems in a variety of areas.

History

Francis Galton's correlation diagram, 1875 Galton's correlation diagram 1875.jpg
Francis Galton's correlation diagram, 1875

Quantitative psychology has its roots in early experimental psychology when, in the nineteenth century, the scientific method was first systematically applied to psychological phenomena. Notable contributions included E. H. Weber's studies of tactile sensitivity (1830s), Fechner's development and use of the psychophysical methods (1850–1860), and Helmholtz's research on vision and audition beginning after 1850. Wilhelm Wundt is often called the "founder of experimental psychology", because he called himself a psychologist and opened a psychological laboratory in 1879 where many researchers came to study. [2] The work of these and many others helped put to rest the assertion, by theorists such as Immanuel Kant, that psychology could not become a science because precise experiments on the human mind were impossible.

Intelligence testing

Intelligence testing has long been an important branch of quantitative psychology. The nineteenth-century English statistician Francis Galton, a pioneer in psychometrics, was the first to create a standardized test of intelligence, and he was among the first to apply statistical methods to the study of human differences and their inheritance. He came to believe that intelligence is largely determined by heredity, and he also hypothesized that other measures such as the speed of reflexes, muscle strength, and head size are correlated with intelligence. [3] [4] He established the world's first mental testing center in 1882; in the following year he published his observations and theories in "Inquiries into Human Faculty and Its Development".

Statistical techniques

IQ scores represented by a normal distribution IQ curve.svg
IQ scores represented by a normal distribution

Statistical methods are the quantitative tools most used by psychologists. Pearson introduced the correlation coefficient and the chi-squared test. The 1900–1920 period saw the t-test (Student, 1908), the ANOVA (Fisher, 1925) and a non-parametric correlation coefficient (Spearman, 1904). A large number of tests were developed in the latter half of the 20th century (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) are relatively recent. [5]

In 1946, psychologist Stanley Smith Stevens organized levels of measurement into four scales, Nominal, Ordinal, Ratio, and Interval, in a paper that is still often cited. [6] Jacob Cohen, a New York University professor of psychology, analyzed 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

Undergraduate

Training for quantitative psychology can begin informally at the undergraduate level. Many graduate 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 R, SAS, or SPSS is useful for the type of data analysis performed in graduate school.[ citation needed ]

Graduate

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

Quantitative psychologists may possess a doctoral degree or a master's degree. 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. Others, such as Vanderbilt University's Ph.D. in Psychological Sciences, are jointly housed across two psychology departments. [10]

Universities with a mathematical focus include McGill University's "Quantitative Psychology and Modeling" program and Purdue University's "Mathematical and Computational Psychology" degrees. [11] [12] Students with an interest in modeling biological or functional data may go into related fields such as biostatistics or computational neuroscience.

Doctoral programs typically accept students with only bachelor's degrees, although some schools may require a master's degree before applying. After the first two years of studies, graduate students typically earn a Master of Arts in Psychology, Master of Science in Statistics or Applied statistics, or both. For example, most students in the University of Minnesota's "Quantitative and Psychometric Methods" Ph.D. program are also Master of Science students in the School of Statistics. [13] Additionally, several universities offer minor concentrations in quantitative methods, such as New York University. [14]

Companies that produce standardized tests such as College Board, Educational Testing Service, and American College Testing are some of the largest private sector employers of quantitative psychologists. These companies also often provide internships to students in graduate school. [ citation needed ]

Shortage of qualified applicants

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. [15] 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. [16] In response to the lack of qualified applicants, the APA Council of Representatives authorized a special task force in 2006. [17] The task force was chaired by Leona S. Aiken from Arizona State University.

Research areas

Example of a social network diagram Social Red.jpg
Example of a social network diagram

Quantitative psychologists generally have a main area of interest. [18] Notable research areas in psychometrics include item response theory and computer adaptive testing, which focus on education and intelligence 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.

Two common types of psychometric tests are aptitude tests, which are supposed to measure raw intellectual suitability for a purpose, and personality tests, which aim to assess character, temperament, and how the subject deals with problems.

Item response theory is based on the application of related mathematical models to testing data. Because it is generally regarded as superior to classical test theory, it is the preferred method for developing scales in the United States, especially when optimal decisions are demanded, as in so-called high-stakes tests, e.g., the Graduate Record Examination (GRE) and Graduate Management Admission Test (GMAT).

Professional organizations

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 , Psychological Methods , Multivariate Behavioral Research , Journal of Mathematical Psychology , and Structural Equation Modeling.

Notable people

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

See also

Related Research Articles

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.

Psychometrics is a field of study within psychology concerned with the theory and technique of measurement. Psychometrics generally refers to specialized fields within psychology and education devoted to testing, measurement, assessment, and related activities. Psychometrics is concerned with the objective measurement of latent constructs that cannot be directly observed. Examples of latent constructs include intelligence, introversion, mental disorders, and educational achievement. The levels of individuals on nonobservable latent variables are inferred through mathematical modeling based on what is observed from individuals' responses to items on tests and scales.

<span class="mw-page-title-main">Quantitative research</span> All procedures for the numerical representation of empirical facts

Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data. It is formed from a deductive approach where emphasis is placed on the testing of theory, shaped by empiricist and positivist philosophies.

Louis Leon Thurstone was an American pioneer in the fields of psychometrics and psychophysics. He conceived the approach to measurement known as the law of comparative judgment, and is well known for his contributions to factor analysis. A Review of General Psychology survey, published in 2002, ranked Thurstone as the 88th most cited psychologist of the 20th century, tied with John Garcia, James J. Gibson, David Rumelhart, Margaret Floy Washburn, and Robert S. Woodworth.

<span class="mw-page-title-main">Raymond Cattell</span> British-American psychologist (1905–1998)

Raymond Bernard Cattell was a British-American psychologist, known for his psychometric research into intrapersonal psychological structure. His work also explored the basic dimensions of personality and temperament, the range of cognitive abilities, the dynamic dimensions of motivation and emotion, the clinical dimensions of abnormal personality, patterns of group syntality and social behavior, applications of personality research to psychotherapy and learning theory, predictors of creativity and achievement, and many multivariate research methods including the refinement of factor analytic methods for exploring and measuring these domains. Cattell authored, co-authored, or edited almost 60 scholarly books, more than 500 research articles, and over 30 standardized psychometric tests, questionnaires, and rating scales. According to a widely cited ranking, Cattell was the 16th most eminent, 7th most cited in the scientific journal literature, and among the most productive psychologists of the 20th century. He was a controversial figure due in part to his friendships with, and intellectual respect for, white supremacists and neo-Nazis.

Mathematical psychology is an approach to psychological research that is based on mathematical modeling of perceptual, thought, cognitive and motor processes, and on the establishment of law-like rules that relate quantifiable stimulus characteristics with quantifiable behavior. The mathematical approach is used with the goal of deriving hypotheses that are more exact and thus yield stricter empirical validations. There are five major research areas in mathematical psychology: learning and memory, perception and psychophysics, choice and decision-making, language and thinking, and measurement and scaling.

Lee Joseph Cronbach was an American educational psychologist who made contributions to psychological testing and measurement.

<span class="mw-page-title-main">Shlomo Sawilowsky</span> American educational statistician

Shlomo S. Sawilowsky was a professor of educational statistics and Distinguished Faculty Fellow at Wayne State University in Detroit, Michigan, where he has received teaching, mentoring, and research awards.

Karl Gustav Jöreskog is a Swedish statistician. Jöreskog is a professor emeritus at Uppsala University, and a co-author of the LISREL statistical program. He is also a member of the Royal Swedish Academy of Sciences. Jöreskog received his bachelor's, master's, and doctoral degrees at Uppsala University. He is also a former student of Herman Wold. He was a statistician at Educational Testing Service (ETS) and a visiting professor at Princeton University.

Anne Anastasi was an American psychologist best known for her pioneering development of psychometrics. Her generative work, Psychological Testing, remains a classic text in which she drew attention to the individual being tested and therefore to the responsibilities of the testers. She called for them to go beyond test scores, to search the assessed individual's history to help them to better understand their own results and themselves.

Psychology encompasses a vast domain, and includes many different approaches to the study of mental processes and behavior. Below are the major areas of inquiry that taken together constitute psychology. A comprehensive list of the sub-fields and areas within psychology can be found at the list of psychology topics and list of psychology disciplines.

<span class="mw-page-title-main">Gideon J. Mellenbergh</span> Dutch psychologist (1938–2021)

Gideon Jan (Don) Mellenbergh was a Dutch psychologist, who was Professor of Psychological methods at the University of Amsterdam, known for his contribution in the field of psychometrics, and Social Research Methodology.

<span class="mw-page-title-main">Jacqueline Meulman</span> Dutch statistician

Jacqueline Meulman is a Dutch statistician and professor emerita of Applied Statistics at the Mathematical Institute of Leiden University.

Dorothy Christina Adkins was an American psychologist. Adkins is best known for her work in psychometrics and education testing, particularly in achievement testing. She was the first female president of the Psychometric Society and served in several roles in the American Psychological Association.

Ben James Winer was an American research psychologist and academic. He served as a psychology professor at Purdue University and was president of the Psychometric Society. He has been listed as one of the most highly cited psychologists in the United States, having authored a well-known textbook on statistical analysis.

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.

Li Cai is a statistician and quantitative psychologist. He is a professor of Advanced Quantitative Methodology at the UCLA Graduate School of Education and Information Studies with a joint appointment in the quantitative area of the UCLA Department of Psychology. He is also Director of the National Center for Research on Evaluation, Standards, and Student Testing, Managing Partner at Vector Psychometric Group.

Patrick James Curran is an American statistician and 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.

References

  1. ↑ "Classification of Instructional Programs – Psychometrics and Quantitative Psychology". The Integrated Postsecondary Education Data System. Retrieved 19 January 2015.
  2. ↑ E. Hearst (ed) The First Century of Experimental Psychology, 1979, pp. 19–20, Hillsdale, NJ: Earlbaum
  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. doi: 10.20982/tqmp.01.1.p001 .
  6. ↑ Stevens, Stanley Smith (June 7, 1946). "On the Theory of Scales of Measurement" (PDF). Science . 103 (2684): 677–680. Bibcode:1946Sci...103..677S. doi:10.1126/science.103.2684.677. PMID   17750512. Archived from the original (PDF) on September 6, 2012. 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" (PDF). American Psychologist. 45 (6): 721–734. doi:10.1037/0003-066x.45.6.721. Archived from the original (PDF) on 2015-01-19. Retrieved 19 January 2015.
  9. ↑ "Undergraduate Minor in Social and Behavioral Sciences Methodology". University of Kansas. Retrieved 13 December 2014.
  10. ↑ "Quantitative Methods at Vanderbilt University". Vanderbilt University, Psychological Sciences. Retrieved 2022-05-05.
  11. ↑ "Quantitative Psychology & Modelling". McGill University, Department of Psychology. Retrieved 2022-05-05.
  12. ↑ "Mathematical and Computational Psychology". Purdue University, Psychological Sciences. Retrieved 2022-05-05.
  13. ↑ "Quantitative/Psychometric Methods at University of Minnesota". University of Minnesota, College of Liberal Arts. Retrieved 2022-05-05.
  14. ↑ "Quantitative Minor at New York University". New York University, Arts & Science. Retrieved 2022-05-05.
  15. ↑ Report of the Task Force for Increasing the Number of Quantitative Psychologists, page 1. American Psychological Association. Retrieved February 15, 2012
  16. ↑ "Report of the Task Force for Increasing the Number of Quantitative Psychologists" (PDF). American Psychological Association. Retrieved 13 December 2014.
  17. ↑ "Quantitative Psychology". American Psychological Association. Retrieved 19 January 2015.
  18. ↑ Mitchell J. Prinstein (31 August 2012). The Portable Mentor: Expert Guide to a Successful Career in Psychology. Springer Science & Business Media. p. 24. ISBN   978-1-4614-3993-6.

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