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| MPQ | |
|---|---|
| Name | MPQ |
| Type | Personality inventory |
| Developer | Hans Eysenck and others |
| First published | 20th century |
| Purpose | Psychometric assessment of personality and psychopathology |
MPQ
The MPQ is a psychometric instrument used to assess personality dimensions and psychopathological traits across clinical and research settings. It has been administered alongside instruments such as the Minnesota Multiphasic Personality Inventory, the NEO Personality Inventory, the MMPI-2-RF, and the Revised NEO to study trait structure, correlates, and predictive validity. The measure has been cited in research involving populations from institutions such as Harvard University, University of California, Berkeley, University College London, and Stanford University, and appears in meta-analyses alongside tools developed at institutions like the American Psychological Association and the World Health Organization.
The MPQ assesses multiple personality dimensions via self-report items designed to capture stable trait variance comparable to constructs assessed by Gordon Allport, Raymond Cattell, and Hans Eysenck. It yields scales that map onto theoretical frameworks advanced by figures such as Lewis Goldberg and measures used in investigations by Walter Mischel and Jerome Kagan. The instrument has been used in longitudinal cohort studies at sites including Duke University, Columbia University, and the University of Michigan to examine developmental trajectories and life-course correlates.
Origins of the MPQ trace to mid-to-late 20th-century personality research influenced by trait theorists such as Gordon Allport and Raymond Cattell. Early validation studies referenced methods employed by Paul Meehl and psychometric principles articulated by Louis Thurstone and Charles Spearman. Cross-cultural adaptations involved collaborations with researchers at University of Oxford, Australian National University, and McGill University. The instrument’s revisions paralleled methodological advances exemplified in projects like the Human Genome Project when personality genetics became a focus in consortia including Psychiatric Genomics Consortium.
The MPQ typically comprises multiple scales organized into higher-order dimensions comparable to factors identified by Lewis Goldberg and scales used in the Big Five Inventory. Administration format mirrors conventions from instruments such as the MMPI series and the California Psychological Inventory: written self-report, Likert-type response sets, and standardized scoring protocols used in laboratories at Yale University and Johns Hopkins University. Subscales have been interpreted alongside constructs operationalized by Aaron Beck and Albert Bandura in studies of cognitive style and self-regulation. Normative samples often draw from populations studied by the National Institutes of Health, the National Institute of Mental Health, and longitudinal cohorts like the Framingham Heart Study.
Scoring yields profile patterns comparable to those from the NEO PI-R and has been cross-referenced with clinical instruments endorsed by the American Psychiatric Association and diagnostic criteria such as those in the Diagnostic and Statistical Manual of Mental Disorders. Interpretive frameworks apply classical test theory and item response theory techniques advanced by Frederic Lord and Geoffrey Haughton; psychometric evaluation has referenced methods published by Samuel Messick and Robert Linn. Practitioners at settings like the Veterans Affairs hospitals and community clinics use these interpretations when integrating results with assessments by clinicians trained in standards from American Psychological Association accreditation programs.
Researchers have used the MPQ in personality development studies undertaken at Princeton University, University of Cambridge, and University of Chicago; in psychopathology research at Mount Sinai Hospital and Massachusetts General Hospital; and in occupational studies influenced by work at London School of Economics and INSEAD. It has informed investigations into substance use alongside projects involving National Institute on Drug Abuse and into genetic correlates in collaborations with the Broad Institute and the Wellcome Trust. Comparative studies have placed the MPQ in analyses with measures used by Daniel Kahneman, Amos Tversky, and Richard Thaler in behavioral science contexts.
Critiques of the MPQ echo debates surrounding instruments such as the MMPI and NEO PI-R: concerns about cultural bias noted in work by Claude Lévi-Strauss-informed anthropologists, measurement invariance issues studied by researchers at Princeton University and Columbia University, and limitations in predictive specificity discussed in meta-analyses led by John Ioannidis. Methodological critiques reference reliance on self-report similar to criticisms of studies by Daniel Kahneman and Eugene Fama concerning response biases, and replication concerns highlighted by contributors to the Open Science Collaboration.
Key studies employing the MPQ include longitudinal analyses from teams at University of Pennsylvania that linked personality dimensions to health outcomes also investigated in the Whitehall Study, genetic association studies involving the International HapMap Project, and developmental research appearing alongside datasets from the National Longitudinal Study of Adolescent to Adult Health. Meta-analytic syntheses comparing MPQ scales with Big Five domains were conducted by scholars affiliated with University of Amsterdam and Max Planck Institute for Human Development, while neuroimaging studies integrating MPQ scores referenced methods from National Institutes of Health-funded centers and labs at MIT and University College London that examine neural correlates using protocols established by Human Connectome Project.
Category:Psychological tests