
Raymond Cattell
Raymond Bernard Cattell (20 March 1905 – 2 February 1998) was a British-American psychologist, known for his psychometric research into intrapersonal psychological structure.[1][2] 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,[3] applications of personality research to psychotherapy and learning theory,[4] predictors of creativity and achievement,[5] and many multivariate research methods[6] including the refinement of factor analytic methods for exploring and measuring these domains.[7][8] 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.[9][10] According to a widely cited ranking, Cattell was the 16th most eminent,[11] 7th most cited in the scientific journal literature,[12] and among the most productive psychologists of the 20th century.[13] He was a controversial figure due in part to his friendships with, and intellectual respect for, white supremacists and neo-Nazis.[14]
Raymond Cattell
2 February 1998
British American
Cattell was an early proponent of using factor analytic methods instead of what he called "subjective verbal theorizing" to explore empirically the basic dimensions of personality, motivation, and cognitive abilities. One of the results of Cattell's application of factor analysis was his discovery of 16 separate primary trait factors within the normal personality sphere (based on the trait lexicon).[15] He called these factors "source traits".[16] This theory of personality factors and the self-report instrument used to measure them are known respectively as the 16 personality factor model and the 16PF Questionnaire (16PF).[17]
Cattell also undertook a series of empirical studies into the basic dimensions of other psychological domains: intelligence,[18] motivation,[19] career assessment and vocational interests.[20] Cattell theorized the existence of fluid and crystallized intelligence to explain human cognitive ability,[21] investigated changes in Gf and Gc over the lifespan,[22] and constructed the Culture Fair Intelligence Test to minimize the bias of written language and cultural background in intelligence testing.[23]
Biography[edit]
England[edit]
Raymond Cattell was born on 20 March 1905 in Hill Top, West Bromwich, a small town in England near Birmingham where his father's family was involved in inventing new parts for engines, automobiles and other machines. Thus, his growing up years were a time when great technological and scientific ideas and advances were taking place and this greatly influenced his perspective on how a few people could actually make a difference in the world. He wrote: "1905 was a felicitous year in which to be born. The airplane was just a year old. The Curies and Rutherford in that year penetrated the heart of the atom and the mystery of its radiations, Alfred Binet launched the first intelligence test, and Einstein, the theory of relativity.[1][43]
When Cattell was about five years old, his family moved to Torquay, Devon, in the south-west of England, where he grew up with strong interests in science and spent a lot of time sailing around the coastline. He was the first of his family (and the only one in his generation) to attend university: in 1921, he was awarded a scholarship to study chemistry at King's College, London, where he obtained a BSc (Hons) degree with 1st-class honors at age 19 years.[1][44] While studying physics and chemistry at university he learned from influential people in many other fields, who visited or lived in London. He writes:
Multivariate research[edit]
Rather than pursue a "univariate" research approach to psychology, studying the effect that a single variable (such as "dominance") might have on another variable (such as "decision-making"), Cattell pioneered the use of multivariate experimental psychology (the analysis of several variables simultaneously).[6][38][59] He believed that behavioral dimensions were too complex and interactive to fully understand variables in isolation. The classical univariate approach required bringing the individual into an artificial laboratory situation and measuring the effect of one particular variable on another – also known as the "bivariate" approach, while the multivariate approach allowed psychologists to study the whole person and their unique combination of traits within a natural environmental context. Multivariate experimental research designs and multivariate statistical analyses allowed for the study of "real-life" situations (e.g., depression, divorce, loss) that could not be manipulated in an artificial laboratory environment.[35]
Cattell applied multivariate research methods across several intrapersonal psychological domains: the trait constructs (both normal and abnormal) of personality, motivational or dynamic traits, emotional and mood states, as well as the diverse array of cognitive abilities.[15] In each of these domains, he considered there must be a finite number of basic, unitary dimensions that could be identified empirically. He drew a comparison between these fundamental, underlying (source) traits and the basic dimensions of the physical world that were discovered and presented, for example, in the periodic table of chemical elements.[16]
In 1960, Cattell organized and convened an international symposium to increase communication and cooperation among researchers who were using multivariate statistics to study human behavior. This resulted in the foundation of the Society of Multivariate Experimental Psychology (SMEP) and its flagship journal, Multivariate Behavioral Research. He brought many researchers from Europe, Asia, Africa, Australia, and South America to work in his lab at the University of Illinois.[35] Many of his books involving multivariate experimental research were written in collaboration with notable colleagues.[61]
Factor analysis[edit]
Cattell noted that in the hard sciences such as chemistry, physics, astronomy, as well as in medical science, unsubstantiated theories were historically widespread until new instruments were developed to improve scientific observation and measurement. In the 1920s, Cattell worked with Charles Spearman who was developing the new statistical technique of factor analysis in his effort to understand the basic dimensions and structure of human abilities. Factor analysis became a powerful tool to help uncover the basic dimensions underlying a confusing array of surface variables within a particular domain.[8]
Factor analysis was built upon the earlier development of the correlation coefficient, which provides a numerical estimate of the degree to which variables are "co-related". For example, if "frequency of exercise" and "blood pressure level" were measured on a large group of people, then intercorrelating these two variables would provide a quantitative estimate of the degree to which "exercise" and "blood pressure" are directly related to each other. Factor analysis performs complex calculations on the correlation coefficients among the variables within a particular domain (such as cognitive ability or personality trait constructs) to determine the basic, unitary factors underlying the particular domain.[62]
While working at the University of London with Spearman exploring the number and nature of human abilities, Cattell postulated that factor analysis could be applied to other areas beyond the domain of abilities. In particular, Cattell was interested in exploring the basic taxonomic dimensions and structure of human personality.[15] He believed that if exploratory factor analysis were applied to a wide range of measures of interpersonal functioning, the basic dimensions within the domain of social behavior could be identified. Thus, factor analysis could be used to discover the fundamental dimensions underlying the large number of surface behaviors, thereby facilitating more effective research.
As noted above, Cattell made many important innovative contributions to factor analytic methodology, including the Scree Test to estimate the optimal number of factors to extract,[36] the "Procrustes" oblique rotation strategy, the Coefficient of Profile Similarity, P-technique factor analysis, dR-technique factor analysis, the Taxonome program, as well the Rotoplot program for attaining maximum simple structure solutions.[8] In addition, many eminent researchers received their grounding in factor analytic methodology under the guidance of Cattell, including Richard Gorsuch, an authority on exploratory factor analytic methods.[63]
In order to apply factor analysis to personality, Cattell believed it was necessary to sample the widest possible range of variables. He specified three kinds of data for comprehensive sampling, to capture the full range of personality dimensions:
In order for a personality dimension to be called "fundamental and unitary," Cattell believed that it needed to be found in factor analyses of data from all three of these measurement domains. Thus, Cattell constructed measures of a wide range of personality traits in each medium (L-data; Q-data; T-data). He then conducted a programmatic series of factor analyses on the data derived from each of the three measurement media in order to elucidate the dimensionality of human personality structure.[10]
With the help of many colleagues, Cattell's factor-analytic studies[8] continued over several decades, eventually finding at least 16 primary trait factors underlying human personality (comprising 15 personality dimensions and one cognitive ability dimension: Factor B in the 16PF). He decided to name these traits with letters (A, B, C, D, E...) in order to avoid misnaming these newly discovered dimensions, or inviting confusion with existing vocabulary and concepts. Factor-analytic studies conducted by many researchers in diverse cultures around the world have provided substantial support for the validity of these 16 trait dimensions.[64]
In order to measure these trait constructs across different age ranges, Cattell constructed (Q-data) instruments that included the Sixteen Personality Factor Questionnaire (16PF) for adults, the High School Personality Questionnaire (HSPQ) – now named the Adolescent Personality Questionnaire (APQ), and the Children's Personality Questionnaire (CPQ).[65] Cattell also constructed the (T-data) Objective Analytic Battery (OAB) that provided measures of the 10 largest personality trait factors extracted factor analytically,[66][67] as well as objective (T-data) measures of dynamic trait constructs such as the Motivation Analysis Test (MAT), the School Motivation Analysis Test (SMAT), and the Children's Motivation Analysis Test (CMAT).[19][68] In order to measure trait constructs within the abnormal personality sphere, Cattell constructed the Clinical Analysis Questionnaire (CAQ)[69][70] Part 1 of the CAQ measures the 16PF factors, While Part 2 measures an additional 12 abnormal (psychopathological) personality trait dimensions. The CAQ was later re-badged as the PsychEval Personality Questionnaire (PEPQ).[71][72] Also within the broadly conceptualized personality domain, Cattell constructed measures of mood states and transitory emotional states, including the Eight State Questionnaire (8SQ)[73][74] In addition, Cattell was at the forefront in constructing the Central Trait-State Kit.[75][76]
From the very beginning of his academic career, Cattell reasoned that, as in other scientific domains like intelligence, there might be an additional, higher level of organization within personality which would provide a structure for the many primary traits. When he factor analyzed the intercorrelations of the 16 primary trait measures themselves, he found no fewer than five "second-order" or "global factors", now commonly known as the Big Five.[26][28][29] These second-stratum or "global traits" are conceptualized as broad, overarching domains of behavior, which provide meaning and structure for the primary traits. For example, the "global trait" Extraversion has emerged from factor-analytic results comprising the five primary trait factors that are interpersonal in focus.[77]
Thus, "global" Extraversion is fundamentally defined by the primary traits that are grouped together factor analytically, and, moving in the opposite direction, the second-order Extraversion factor gives conceptual meaning and structure to these primary traits, identifying their focus and function in human personality. These two levels of personality structure can provide an integrated understanding of the whole person, with the "global traits" giving an overview of the individual's functioning in a broad-brush way, and the more-specific primary trait scores providing an in-depth, detailed picture of the individual's unique trait combinations (Cattell's "Depth Psychometry" p. 71).[4]
Research into the 16PF personality factors has shown these constructs to be useful in understanding and predicting a wide range of real life behaviors.[78][79] Thus, the 16 primary trait measures plus the five major second-stratum factors have been used in educational settings to study and predict achievement motivation, learning or cognitive style, creativity, and compatible career choices; in work or employment settings to predict leadership style, interpersonal skills, creativity, conscientiousness, stress-management, and accident-proneness; in medical settings to predict heart attack proneness, pain management variables, likely compliance with medical instructions, or recovery pattern from burns or organ transplants; in clinical settings to predict self-esteem, interpersonal needs, frustration tolerance, and openness to change; and, in research settings to predict a wide range of behavioral proclivities such as aggression, conformity, and authoritarianism.[80]
Cattell's programmatic multivariate research which extended from the 1940s through the 70's[81][82][83] resulted in several books that have been widely recognized as identifying fundamental taxonomic dimensions of human personality and motivation and their organizing principles:
The books listed above document a programmatic series of empirical research studies based on quantitative personality data derived from objective tests (T-data), from self-report questionnaires (Q-data), and from observer ratings (L-data). They present a theory of personality development over the human life span, including effects on the individual's behavior from family, social, cultural, biological, and genetic influences, as well as influences from the domains of motivation and ability.[84]
As Hans Eysenck at the Institute of Psychiatry, London remarked:
Views on race and eugenics[edit]
William H. Tucker[86][14] and Barry Mehler[87][88] have criticized Cattell based on his writings about evolution and political systems. They argue that Cattell adhered to a mixture of eugenics and a new religion of his devising which he eventually named Beyondism and proposed as "a new morality from science". Tucker notes that Cattell thanked the prominent neo-Nazi and white supremacist ideologues Roger Pearson, Wilmot Robertson, and Revilo P. Oliver in the preface to his Beyondism, and that a Beyondist newsletter with which Cattell was involved favorably reviewed Robertson's book The Ethnostate.
Cattell claimed that a diversity of cultural groups was necessary to allow that evolution. He speculated about natural selection based on both the separation of groups and also the restriction of "external" assistance to "failing" groups from "successful" ones. This included advocating for "educational and voluntary birth control measures"—i.e., by separating groups and limiting excessive growth of failing groups.[89] John Gillis argued in his biography of Cattell that, although some of Cattell's views were controversial, Tucker and Mehler exaggerated and misrepresented his views by taking quotes out of context and referring to outdated writings. Gillis maintained that Cattell was not friends with white supremacists and described Hitler's ideas as "lunacy."[1]
In 1997, Cattell was chosen by the American Psychological Association (APA) for its "Gold Medal Award for Lifetime Achievement in the Science of Psychology." Before the medal was presented, Mehler launched a publicity campaign against Cattell through his nonprofit foundation ISAR,[90] accusing Cattell of being sympathetic to racist and fascist ideas.[91] Mehler claimed that "it is unconscionable to honor this man whose work helps to dignify the most destructive political ideas of the twentieth century". A blue-ribbon committee was convened by the APA to investigate the legitimacy of the charges. Before the committee reached a decision, Cattell issued an open letter to the committee saying "I believe in equal opportunity for all individuals, and I abhor racism and discrimination based on race. Any other belief would be antithetical to my life's work" and saying that "it is unfortunate that the APA announcement ... has brought misguided critics' statements a great deal of publicity."[92] Cattell refused the award, withdrawing his name from consideration, and the committee was disbanded. Cattell died months later at the age of 92.
In 1984, Cattell said that: "The only reasonable thing is to be noncommittal on the race question – that's not the central issue, and it would be a great mistake to be sidetracked into all the emotional upsets that go on in discussions of racial differences. We should be quite careful to dissociate eugenics from it – eugenics' real concern should be with individual differences."[13] Richard L. Gorsuch (1997) wrote (in a letter to the American Psychological Foundation, para. 4) that: "The charge of racism is 180 degrees off track. [Cattell] was the first one to challenge the racial bias in tests and to attempt to reduce that problem."[13]