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Measurement and Statistical Models in the Study of Personality and Intelligence

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International Handbook of Personality and Intelligence

Abstract

Theorizing about personality and intelligence structure initially was limited to prescientific literary and philosophical “insights” (see Howard, 1993). Among these early psychological approaches. Freudian psychoanalytic theory almost certainly has had the major influence on thinking about human personality during the early 20th century, although psychoanalysis itself has now come under critical scrutiny (see H. J. Eysenck, 1985a; Masson, 1990). Another prominent theorist was Murray, who postulated such “needs” as abasement, achievement, aggression, change, cognitive structure, endurance, nurturance, order, sentience, and understanding. Likewise, Jung’s introversion-extraversion theory has been influential. The comparatively subjective models of theorists such as Freud, Adler, Jung, Fromm, Erikson, Homey, Maslow, and Sullivan, however, must now be rejected as scientifically unacceptable. Around 1920, the emphasis changed from clinical premetric speculations to more quantitative and overtly experimental approaches, along with recognition of the ability and personality sphere concepts. The inadequacy of socioenvironmental explanations of personality, though, has been amply demonstrated by Zuckerman (1991). Personality is not solely the outcome of family and social conditioning. H. J. Eysenck (1991) has pointed out that these theories are essentially untestable; they are based on speculative or falsified deductions, and they ignore virtually all the experimental and empirical research conducted this century.

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References

  • Anastasi, A. (1990). Psychological testing ( 6th ed. ). New York: Macmillan.

    Google Scholar 

  • Anderson, J. G., and Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103, 411–423.

    Google Scholar 

  • Bagozzi, R. P., and Yi, Y. (1990). Assessing method variance in multitrait-multimethod matrices: The case of self-reported affect and perceptions at work. Journal of Applied Psychology, 75, 547–560.

    Google Scholar 

  • Barrett, P. T., and Kline, P. (1982). Factor extraction: An examination of three methods. Personality Study and Group Behavior, 2, 84–98.

    Google Scholar 

  • Bentler, P. M. (1988, October). Bentler critiques structural equation modeling. Score, 3, 6.

    Google Scholar 

  • Bentler, P. M. (1989). EQS: Structural equations program manual. Los Angeles: BMDP Statistical Software.

    Google Scholar 

  • Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238–246.

    PubMed  Google Scholar 

  • Bentler, P. M., and Kanno, Y. (1990). On the equivalence of factors and components. Multivariate Behavioral Research, 25, 67–74.

    Google Scholar 

  • Biddle, B. J., and Marlin, M. M. (1987). Causality, confirmation, credulity, and structural equation modeling. Child Development, 58, 4–17.

    Google Scholar 

  • Birkett-Cattell, H. (1989). The I6PF: Personality in depth. Champaign, IL: Institute for Personality and Ability Testing.

    Google Scholar 

  • Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.

    Google Scholar 

  • Bolton, B. (1988). Review of the Objective-Analytic Batteries. Test Critiques, 7, 374–380.

    Google Scholar 

  • Boyle, G. J. (1983a). Critical review of state-trait curiosity test development. Motivation and Emotion, 7, 377–397.

    Google Scholar 

  • Boyle, G. J. (1983b). Effects on academic learning of manipulating emotional states and motivational dynamics. British Journal of Educational Psychology, 53, 347–357.

    PubMed  Google Scholar 

  • Boyle, G. J. (1985a). A reanalysis of the higher-order factor structure of the Motivation Analysis Test and the Eight State Questionnaire. Personality and Individual Differences, 6, 367–374.

    Google Scholar 

  • Boyle, G. J. (1985b). Self-report measures of depression: Some psychometric considerations. British Journal of Clinical Psychology, 24, 45–59.

    PubMed  Google Scholar 

  • Boyle, G. J. (1986a). Clinical neuropsychological assessment: Abbreviating the Halstead Category Test of brain dysfunction. Journal of Clinical Psychology, 42, 615–625.

    PubMed  Google Scholar 

  • Boyle, G. J. (1986b). Internodality superfactors in the Sixteen Personality Factor Questionnaire, Eight State Battery and objective Motivation Analysis Test. Personality and Individual Differences, 7, 583–586.

    Google Scholar 

  • Boyle, G. J. (1987a). Central dynamic traits measured in the School Motivation Analysis Test. Multivariate Experimental Clinical Research, 9, 11–26.

    Google Scholar 

  • Boyle, G. J. (1987b). Commentary: The role of intrapersonal psychological variables in academic school learning. Journal of School Psychology, 25, 389–392.

    Google Scholar 

  • Boyle, G. J. (1987c). A conjoint dR-factoring of the 8SQ/DESIV multivariate mood-state scales. Australian Journal of Psychology, 39, 79–87.

    Google Scholar 

  • Boyle, G. J. (1987d). Psychopathological depression superfactors in the Clinical Analysis Questionnaire. Personality and Individual Differences, 8, 609–614.

    Google Scholar 

  • Boyle, G. J. (1987e). Use of change scores in redundancy analyses of multivariate psychological inventories. Personality and Individual Differences, 8, 845–854.

    Google Scholar 

  • Boyle, G. J. (1988a). Central clinical states: An examination of the Profile of Mood States and the Eight State Questionnaire. Journal of Psychopathology and Behavioral Assessment, 10, 205–215.

    Google Scholar 

  • Boyle, G. J. (1988b). Contribution of Cattellian psychometrics to the elucidation of human intellectual structure. Multivariate Experimental Clinical Research, 8, 267–273.

    Google Scholar 

  • Boyle, G. J. (1988c). Elucidation of motivation structure by dynamic calculus. In J. R. Nesselroade and R. B. Cattell (Eds.), Handbook of multivariate experimental psychology ( 2nd ed., pp. 737–787 ). New York: Plenum.

    Google Scholar 

  • Boyle, G. J. (1989a). Re-examination of the major personality-type factors in the Cattell, Comrey, and Eysenck scales: Were the factor solutions by Noller et al. optimal? Personality and Individual Differences, 10, 1289–1299.

    Google Scholar 

  • Boyle, G. J. (1989b). Reliability and validity of the Stanford-Binet Intelligence Scale (fourth edition) in the Australian context: A review. Australian Educational and Developmental Psychologist, 6, 21–23.

    Google Scholar 

  • Boyle, G. J. ( 1990a, June). Integration of personality and intelligence measurement within the Cattellian psychometric model. Paper presented at the Fifth European Conference on Personality, University of Rome.

    Google Scholar 

  • Boyle, G. J. (1990b). A review of the factor structure of the Sixteen Personality Factor Questionnaire and the Clinical Analysis Questionnaire. Psychological Test Bulletin, 3, 40–45.

    Google Scholar 

  • Boyle, G. J. (1990c). Stanford-Binet Intelligence Scale: Is its structure supported by LISREL congeneric factor analyses? Personality and Individual Differences, 11, 1175–1181.

    Google Scholar 

  • Boyle, G. J. (1991a). Does item homogeneity indicate internal consistency or item redundancy in psychometric scales? Personality and Individual Differences, 12, 291–294.

    Google Scholar 

  • Boyle, G. J. (1991b). Experimental psychology does require a multivariate perspective. Contemporary Psychology, 36, 350–351.

    Google Scholar 

  • Boyle, G. J. (1991c). Item analysis of the subscales in the Eight State Questionnaire (8SQ): Exploratory and confirmatory factor analyses. Multivariate Experimental Clinical Research, 10, 37–65.

    Google Scholar 

  • Boyle, G. J. (1992a). Factor structure of the Menstrual Distress Questionnaire (MDQ): Exploratory and LISREL analyses. Personality and Individual Differences, 13, 1–15.

    Google Scholar 

  • Boyle, G. J. (1992b). Hogan Personality Inventory. Psychological Test Bulletin, 5, 130–138.

    Google Scholar 

  • Boyle, G. J. (1993a). Intelligence and personality measurement within the Cattellian psychometric model. In G. L. van Heck, P. Bonaiuto, I. Deary, and W. Nowack (Eds.), Personality psychology in Europe (Vol. 4 ). Tilburg: Tilburg University Press.

    Google Scholar 

  • Boyle, G. J. (1993b). Relationships between mood states and menstrual cycle symptoms in young, healthy women: A structural modeling analysis Unpublished manuscript.

    Google Scholar 

  • Boyle, G. J. (1993c). Review of the Personality Assessment Inventory (PAI). In J. C. Conoley and J. Impara (Eds.), Twelfth mental measurements yearbook. Lincoln, NE: Buros Institute of Mental Measurements.

    Google Scholar 

  • Boyle, G. J. (1993d). Review of the Self-Description Questionnaire (SDQ-II). Test Critiques, 10, 632–643.

    Google Scholar 

  • Boyle, G. J. (1993e). Special review: Evaluation of the exploratory factor analysis programs provided in SPSSX and SPSS/PC+. Multivariate Experimental Clinical Research, 10, 129–135.

    Google Scholar 

  • Boyle, G. J., Borg, M. G., Falzon, J. M., and Baglioni, Jr., A. J. (1995). A structural model of the dimensions of teacher stress. British Journal of Educational Psychology, 65, 49–67.

    PubMed  Google Scholar 

  • Boyle, G. J., and Cattell, R. B. (1984). Proof of situational sensitivity of mood states and dynamic traits-ergs and sentiments-to disturbing stimuli. Personality and Individual Differences, 5, 541–548.

    Google Scholar 

  • Boyle, G. J., and Fabris, S. (1992). LISREL analyses of the RIASEC model: Confirmatory and congeneric factor analyses of Holland’s Self-Directed Search. Personality and Individual Differences, 13, 1077–1084.

    Google Scholar 

  • Boyle, G. J., and Langley, P. D. (1989) Elementary statistical methods: For students of psychology education and the social sciences. Sydney: Pergamon

    Google Scholar 

  • Boyle, G. J., and Stanley, G. V. (1986). Application of factor analysis in psychological research: Improvement of simple structure by computer-assisted graphic oblique transformation. Multivariate Experimental Clinical Research, 8, 175–182.

    Google Scholar 

  • Boyle, G. J., and Start, K. B. (1989). Comparison of higher-stratum motivational factors across sexes using the Children’s Motivation Analysis Test. Personality and Individual Differences, 10, 483–487.

    Google Scholar 

  • Boyle, G. J., Start, K. B., and Hall, E. J. (1989). Dimensions of adolescent motivation as measured by higher-order factors in the School Motivation Analysis Test. Journal of School Psychology, 27, 27–33.

    Google Scholar 

  • Breckler, S. J. (1990). Applications of covariance structure modeling in psychology: Cause for concern. Psychological Bulletin, 107, 260–273.

    PubMed  Google Scholar 

  • Brennan, J. M., and Nitz, L. H. (1986). Stat 1: A statistical toolbox. Kailua, HI: Sugar Mill Software.

    Google Scholar 

  • Brennan, R. L. (1983). Elements of generalizability theory. Iowa City, IA: American College Testing.

    Google Scholar 

  • Briggs, S. R., and Cheek, J. M. (1986). The role of factor analysis in the development and evaluation of personality scales. Journal of Personality, 54, 106–148.

    Google Scholar 

  • Briggs-Myers, I., and Briggs, K. C. (1985). Myers-Briggs Type Indicator (MBTI). Palo Alto, CA: Consulting Psychologists Press.

    Google Scholar 

  • Brody, N. (1988). Personality: In search of individuality San Diego, CA: Academic Press.

    Google Scholar 

  • Brody, N. (1992). Intelligence ( 2nd ed. ). New York: Academic Press.

    Google Scholar 

  • Browne, M. W. (1984). The decomposition of multitrait-multimethod matrices. British Journal of Mathematical and Statistical Psychology, 37, 1–21.

    PubMed  Google Scholar 

  • Browne, M. W. (1990). MUTMUM PC User’s guide. Unpublished manuscript, Department of Statistics, University of South Africa, Pretoria.

    Google Scholar 

  • Butcher, J. N., Keller, L. S., and Bacon, S. F. (1985). Current developments and future directions in computerized personality assessment. Journal of Consulting and Clinical Psychology, 53, 803–815.

    PubMed  Google Scholar 

  • Bynner, J. M., and Romney, D. M. (1986). Intelligence, fact or artefact: Alternative structures for cognitive abilities. British Journal of Educational Psychology, 56, 12–23.

    Google Scholar 

  • Byrne, B. M. (1988). Testing the factorial validity and invariance of a measuring instrument using LISREL confirmatory factor analyses: A reexamination and application. Multiple Linear Regression Viewpoints, 16, 33–80.

    Google Scholar 

  • Byrne, B. M. (1989). A primer of LISREL: Basic applications and programming for confirmatory factor analytic models. New York: Springer-Verlag.

    Google Scholar 

  • Byrne, B. M., and Goffin, R. D. (1993). Modeling MTMM data from additive and multiplicative covariance structures: An audit of construct validity research Multivariate Behavioral Research, 28, 67–96.

    Google Scholar 

  • Byrne, B. M., Shavelson, R. J., and Muthén, B. (1989). Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. Psychological Bulletin, 105, 456–466.

    Google Scholar 

  • Cantor, N., and Kihlstrom, J. E (1987). Personality and social intelligence. Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  • Carroll, J. B. (1984). Raymond B. Cattell’s contributions to the theory of cognitive abilities. Multivariate Behavioral Research, 19, 300–306.

    Google Scholar 

  • Carroll, J. B. (1991). No demonstration that “g” is not unitary, but there is more to the story: Comment on Kranzler and Jensen. Intelligence, 15, 423–436.

    Google Scholar 

  • Cattell, R. B. (1973). Personality and mood by questionnaire. San Francisco: Jossey-Bass.

    Google Scholar 

  • Cattell, R. B. (1978). The scientific use of factor analysis in behavioral and life sciences. New York: Plenum.

    Google Scholar 

  • Cattell, R. B. (1979). Personality and learning theory. Vol. 1. The structure of personality in its environment. New York: Springer.

    Google Scholar 

  • Cattell, R. B. (1980). Personality and learning theory. Vol. 2. A systems theory of maturation and learning. New York: Springer.

    Google Scholar 

  • Cattell, R. B. (1982a). The development of attribution theory into spectrad theory, using the general perceptual model. Multivariate Behavioral Research, 17, 169–192.

    Google Scholar 

  • Cattell, R. B. (1982b). The inheritance of personality and ability: Research methods and findings. New York: Academic Press.

    Google Scholar 

  • Cattell, R. B. (1982c). The psychometry of objective motivation measurement: A response to the critique of Cooper and Kline. British Journal of Educational Psychology, 52, 234–241.

    Google Scholar 

  • Cattell, R. B. (1983). Structured personality-learning theory: A wholistic multivariate research approach New York:

    Google Scholar 

  • Praeger. Cattell, R. B. (1985). Human motivation and the dynamic calculus. New York: Praeger.

    Google Scholar 

  • Cattell, R. B. (1987a). Intelligence: Its structure, growth, and action. Amsterdam: North-Holland.

    Google Scholar 

  • Cattell, R. B. (1987b). Psychotherapy by structured learning theory. New York: Springer.

    Google Scholar 

  • Cattell, R. B. (1992a). Human motivation objectively, experimentally analysed. British Journal of Medical Psychology, 65, 237–243.

    PubMed  Google Scholar 

  • Cattell, R. B. (1992b). Superseding the Motivational Distortion Scale. Psychological Reports, 70, 499–502.

    Google Scholar 

  • Cattell, R. B., and Johnson, R. C. (1986). (Eds.), Functional psychological testing: Principles and instruments. New York: Brunner/Mazel.

    Google Scholar 

  • Cattell, R. B., and Krug, S. E. (1986). The number of factors in the 16PF: A review of the evidence with special emphasis on methodological problems. Educational and Psychological Measurement, 46, 509–522.

    Google Scholar 

  • Cattell, R. B., and Schuerger, J. M. (1978). Personality theory in action: Handbook for the O-A (Objective-Analytic) Test Kit. Champaign, IL: Institute for Personality and Ability Testing. Ceci, S. J. (1990). On intelligence... more or less. Englewood Cliffs, NJ: Prentice Hall.

    Google Scholar 

  • Child, D. (1990). The essentials of factor analysis ( 2nd ed. ). London: Cassell.

    Google Scholar 

  • Clark, L. A., and Livesley, W. J. (in press). Two approaches to identifying the dimensions of personality disorder: Convergence on the five-factor model. In P T. Costa, Jr., and T. A. Widiger (Eds.), Personality disorders and the five factor model of personality Washington, DC: American Psychological Association.

    Google Scholar 

  • Clark, L. A., McEwen, J. L., Collard, L. M., and Hickok, L. G. (1993). Symptoms and traits of personality disorder: Two new methods for their assessment. Psychological Assessment, 5, 81–91.

    Google Scholar 

  • Clark, L. A., Vorhies, V., and McEwen, J. L. (in press). Personality disorder symptomatology from the five-factor perspective. In P. T. Costa, Jr., and T. A. Widiger (Eds.), Personality disorders and the five factor model of personality Washington, DC: American Psychological Association.

    Google Scholar 

  • Cole, D. A., and Maxwell, S. E. (1985). Multitrait-multimethod comparisons across populations: A confirmatory factor analytic approach. Multivariate Behavioral Research, 20, 389–417.

    Google Scholar 

  • Comrey, A. L. (1980). Handbook of interpretation for the Cornrey Personality Scale. San Diego, CA: Educational and Industrial Testing Service.

    Google Scholar 

  • Comrey, A. L., and Lee, H. B. (1992). A first course in factor analysis (rev. 2nd ed. ). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Conley, J. J. (1984). Longitudinal consistency of adult personality: Self-reported psychological characteristics across 45 years. Journal of Personality and Social Psychology, 47, 1325–1334.

    PubMed  Google Scholar 

  • Connell, J. P. (1987). Structural equation modeling and the study of child development: A question of goodness of fit. Child Development, 58, 167–175.

    Google Scholar 

  • Costa, P. T., and McCrae, R. R. (1992a). Four ways five factors are basic. Personality and Individual Differences, 13, 653–665.

    Google Scholar 

  • Costa, P. T., and McCrae, R. R. (1992b). The NEO Personality Inventory (Revised) manual. Odessa, FL: Psychological Assessment Resources.

    Google Scholar 

  • Costa, P. T., and McCrae, R. R. (1992c). Normal personality assessment in clinical practice: The NEO Personality Inventory. Psychological Assessment, 4, 5–13.

    Google Scholar 

  • Crocker, L., and Algina, J. (1986). Introduction to classical and modern test theory. New York: Holt, Rinehart and Winston.

    Google Scholar 

  • Cronbach, L. J. (1990). Essentials of psychological testing (5th ed.). New York: Harper and Row.

    Google Scholar 

  • Cudeck, R., and Henly, S. J. (1991). Model selection in covariance structures analysis and the “problem” of sample size: A clarification. Psychological Bulletin, 109, 512–519.

    PubMed  Google Scholar 

  • Cuttance, P., and Ecob, R. (Eds.). (1987). Structural modeling by example: Applications in educational, sociological, and behavioral research. New York: Cambridge University Press.

    Google Scholar 

  • Digman, R. M. (1990). Personality structure: Emergence of the five-factor model. Annual Review of Psychology, 41, 417–440.

    Google Scholar 

  • Eaves, L. J., Eysenck, H. J., and Martin, N. G. (1989). Genes, culture and personality. London: Academic Press.

    Google Scholar 

  • Elliott, C. D., Murray, D. J., and Pearson, L. S. (1983). British Ability Scales ( 2nd ed. ). London: Nelson.

    Google Scholar 

  • Eysenck, H. J. (1984). Cattell and the theory of personality. Multivariate Behavioral Research, 19, 323–336.

    Google Scholar 

  • Eysenck, H. J. (1985a). Decline and fall of the Freudian empire. London: Viking.

    Google Scholar 

  • Eysenck, H. J. (1985b). Review of the California Psychological Inventory. In J. V. Mitchell (Ed.), Ninth mental measurements yearbook. Lincoln, NE: Buros Institute of Mental Measurements.

    Google Scholar 

  • Eysenck, H. J. (1990a). Biological dimensions of personality. In L. A. Pervin (Ed.), Handbook of personality: Theory and research. New York: Guilford.

    Google Scholar 

  • Eysenck, H. J. (1990b). Genetic and environment contributions to individual differences: The three major dimensions of personality. Journal of Personality, 98, 245-

    Google Scholar 

  • Eysenck, H. J. (1991). Dimensions of personality: 16, 5, 3? Personality and Individual Differences, 12, 773–790.

    Google Scholar 

  • Eysenck, H. J. (1992). Four ways five factors are not basic. Personality and Individual Differences, 13, 667–673.

    Google Scholar 

  • Eysenck, H. J., and Eysenck, M. W. (1985). Personality and individual differences. New York: Plenum.

    Google Scholar 

  • Eysenck, M. W., and Eysenck, H. J. (1980). Mischel and the concept of personality. British Journal of Psychology, 71, 191–204.

    Google Scholar 

  • Fernandez, E. (1990). Artifact in pain ratings, its implications for test-retest reliability, and correction by a new scaling procedure. Journal of Psychopathology and Behavioral Assessment, 12, 1–15.

    Google Scholar 

  • Fernandez, E., Nygren, T. E., and Thorn, B. E. (1991). An open-transformed scale for correcting ceiling effects and enhancing retest reliability: The example of pain. Perception and Psychophysics, 49, 572–578.

    PubMed  Google Scholar 

  • Friedman, A., Webb, J., and Lewark, R. (1989). Psychological testing with the MMPI London: Erlbaum.

    Google Scholar 

  • Goff, M., and Ackerman, P. L. (1992). Personality-intelligence relations: Assessment of typical engagement. Journal of Educational Psychology, 84, 537–552.

    Google Scholar 

  • Goldberg, L. R. (1992). The development of markers for the big-five factor structure. Psychological Assessment, 4, 26–42.

    Google Scholar 

  • Goldstein, H. (1980). Dimensionality, bias, independence and measurement scale problems in latent trait test score models. British Journal of Mathematical and Statistical Psychology, 33, 234–246.

    Google Scholar 

  • Gorsuch, R. L. (1983). Factor analysis ( 2nd ed. ). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Gorsuch, R. L. (1990). Common factor analysis versus component analysis: Some well and little known facts. Multivariate Behavioral Research, 25, 33–39.

    Google Scholar 

  • Gorsuch, R. L. (1991). UniMult guide (Version 1. 1 ). Altadena, CA: UniMult.

    Google Scholar 

  • Gough, H. G. (1987). California Psychological Inventory (CPI) (rev. ed.). Palo Alto, CA: Consulting Psychologists Press.

    Google Scholar 

  • Gough, H. G. (1989). Review of the Objective-Analytic (O-A) Test Battery. In J. C. Conoley and J. J. Kramer (Eds.), The tenth mental measurements yearbook. Lincoln, NE: Buros Institute of Mental Measurements.

    Google Scholar 

  • Grayson, D. A. (1986). Latent trait analysis of the Eysenck Personality Questionnaire. Journal of Psychiatric Research, 20, 217–235.

    PubMed  Google Scholar 

  • Gruijter, de D. N. M., and Kamp, van der L. J. T. (1990). Generalizability theory. In R. K. Hambleton and J. N. Zaal (Eds.), Advances in educational and psychological testing: Theory and applications. Boston: Kluwer.

    Google Scholar 

  • Guilford, J. P. (1975). Factors and factors of personality. Psychological Bulletin, 82, 802–814.

    PubMed  Google Scholar 

  • Guilford, J. P. (1981). Higher-order structure-of-intellect abilities. Multivariate Behavioral Research, 16, 411–435.

    Google Scholar 

  • Guilford, J. P. (1985). The structure-of-intellect model. In B. B. Wolman (Ed.), Handbook of intelligence: Theories: measurements and applications. New York: Wiley.

    Google Scholar 

  • Guthrie, G. (1985). Review of the Clinical Analysis Questionnaire. In J. V. Mitchell, Jr. (Ed.), Ninth mental measurements yearbook. Lincoln, NE: Buros Institute of Mental Measurements.

    Google Scholar 

  • Guttman, L. (1992). The irrelevance of factor analysis for the study of group differences. Multivariate Behavioral Research, 27, 175–204.

    Google Scholar 

  • Hakstian, A. R., and Cattell, R. B. (1982). The Comprehensive Ability Battery. Champaign, IL: Institute for Personality and Ability Testing.

    Google Scholar 

  • Hakstian, A. R., Rogers, W. T., and Cattell, R. B. (1982). The behavior of number-of-factors rules with simulated data. Multivariate Behavioral Research, 17, 193–219.

    Google Scholar 

  • Hakstian, A. R., and Woolsey, L. K. (1985). Validity studies using the Comprehensive Ability Battery (CAB): IV. Predicting achievement at the university level. Educational and Psychological Measurement, 45, 329–341.

    Google Scholar 

  • Hambleton, R. K., and Swaminathan, H. (1985). Item response theory: Principles and applications.

    Google Scholar 

  • Boston: Kluwer. Hambleton, R. K., Swaminathan, H., and Rogers, H. J. (1991). Fundamentals of item response theory. Newbury Park, CA: Sage.

    Google Scholar 

  • Hayduk, L. A. (1987). Structural equation modeling with LISREL: Essentials and advances. Baltimore, MD: Johns Hopkins University Press.

    Google Scholar 

  • Heck, van G. L. M. (1988). Modes and models in anxiety. Anxiety Research, 1, 199–214.

    Google Scholar 

  • Helmes, E., and Reddon, J. R. (1993). A perspective on developments in assessing psychopathology: A critical review of the MMPI and MMPI-2. Psychological Bulletin, 113, 453–471.

    Google Scholar 

  • Hessler, G. L. (1982). Use and interpretation of the Woodcock-Johnson Psycho-Educational Battery. Allen, TX: DLM Teaching Resources.

    Google Scholar 

  • Hogan, R. (1986). Manual for the Hogan Personality Inventory (HPI). Minneapolis MN: National Computer Systems.

    Google Scholar 

  • Holden, R. R., Kroner, D. G., Fekken, G. C., and Popham, S. M. (1992). A model of personality test item response dissimulation. Journal of Personality and Social Psychology, 63, 272–279.

    Google Scholar 

  • Holden, R. R., Reddon, J. R., Jackson, D. N., and Helmes, E. (1983). The construct heuristic applied to the measurement of psychopathology. Multivariate Behavioral Research, 18, 37–46. Holland, J. L. ( 1985 ). Making vocational choices: A theory of vocational personalities and work environments. Englewood

    Google Scholar 

  • Cliffs, NJ: Prentice-Hall. Horn, J. L. (1988). Thinking about human abilities In J. R. Nesselroade and R. B. Cattell (Eds.), Handbook of multivariate experimental psychology. New York: Plenum.

    Google Scholar 

  • Horn, J. L., and Stankov, L. (1980). Auditory and visual factors of intelligence. Intelligence, 6, 165–185.

    Google Scholar 

  • Horn, J. L., and Stankov, L. (1982). Comments about a chameleon theory: Level I/Level II. Journal of Educational Psychology, 74, 874–878.

    Google Scholar 

  • Howard, R. W. (1993). On what intelligence is. British Journal of Psychology, 84, 27–37.

    PubMed  Google Scholar 

  • Hunter, J. E., Schmidt, F L., and Rauschenberger, J. M. (1984). Methodological, statistical, and ethical issues in the study of bias in psychological tests. In C. E. Reynolds and R. T. Brown (Eds.), Perspectives on bias in mental testing (pp. 41–99 ). New York: Plenum.

    Google Scholar 

  • Hutchinson, T. P. (1991). Controversies in item response theory. Sydney: Rumsby Scientific.

    Google Scholar 

  • Jensen, A. R. (1991). General mental ability: From psychometrics to biology. Diagnostique, 16, 134–144.

    Google Scholar 

  • Jinks, J. L., and Fulker, J. W. (1970). Comparison of the biometrical, genetical, MAVA and classical approaches to the study of human behaviour. Psychological Bulletin, 73, 311–349.

    PubMed  Google Scholar 

  • John, O. P. (1990). The “big five” factor taxonomy: Dimensions of personality in the natural language and in questionnaires. In

    Google Scholar 

  • L. Pervin (Ed.), Handbook of personality theory and research (pp. 66–100). New York: Guilford.

    Google Scholar 

  • John, O. P., Angleitner, A., and Ostendorf, E (1988). The lexical approach to personality: A historical review of trait taxonomic research. European Journal of Personality, 2, 171–203.

    Google Scholar 

  • John, O. P., Hampson, S. E., and Goldberg, L. R. (1991). The basic level in personality-trait hierarchies: Studies of trait use and accessibility in different contexts. Journal of Personality and Social Psychology, 60, 348–361.

    PubMed  Google Scholar 

  • Johnson, R. C. (1986). Personality assessment by observers in normal and psychiatric data. In R. B. Cattell and R. C. Johnson (Eds.) Functional psychological testing: Principles and instruments. New York: Brunner/Mazel

    Google Scholar 

  • Jöreskog, K. G., and Sörbom, D. (1988). PRELIS: A program for multivariate data screening and data summarization. Mooresville, IN: Scientific Software.

    Google Scholar 

  • Jöreskog, K. G., and Sörbom, D. (1989). LISREL 7: A guide to the program and applications ( 2nd ed. ). Chicago, SPSS.

    Google Scholar 

  • Kameoka, V. A. (1986). The structure of the Clinical Analysis Questionnaire and depression symptomatology. Multivariate Behavioral Research, 21, 105–122.

    Google Scholar 

  • Kaplan, D. (1990). Evaluating and modifying covariance structure models: A review and recommendation. Multivariate Behavioral Research, 25, 137–155.

    Google Scholar 

  • Kaufman, A. S. (1990). Assessing adolescent and adult intelligence. Chicago: Allyn and Bacon.

    Google Scholar 

  • Kaufman, A. S., and Kaufman, N. L. (1983). Kaufman Assessment Battery for Children (K-ABC). Circle Pines, MN: American Guidance Service.

    Google Scholar 

  • Kerlinger, F. N. (1986). Foundations of behavioral research ( 3rd ed. ). New York: CBS.

    Google Scholar 

  • Kline, P. (1980). The psychometric model. In A. J. Chapman and D. M. Jones (Eds.), Models of man. Leicester, England: British Psychological Society.

    Google Scholar 

  • Kline, P. (1986). A handbook of test construction: Introduction to psychometric design. London: Methuen.

    Google Scholar 

  • Kline, P. (1993a). The handbook of psychological testing. London: Routledge.

    Google Scholar 

  • Kline, P. (1993b). Personality: The psychometric view. London: Routledge.

    Google Scholar 

  • Kline, P., and Cooper, C. (1984a). A construct validation of the Objective-Analytic Test Battery ( OATS ). Personality and Individual Differences, 5, 323–337.

    Google Scholar 

  • Kline, P., and Cooper, C. (1984b). The factor structure of the Comprehensive Ability Battery. British Journal of Educational Psychology, 54, 106–110.

    Google Scholar 

  • Kranzler, J. H. and Jensen, A. R. (1991). The nature of psychometric “g”: Unitary process of a number of independent processes? Intelligence, 15, 379–422.

    Google Scholar 

  • Krug, S. E. (1980). Clinical Analysis Questionnaire manual. Champaign, IL: Institute for Personality and Ability Testing.

    Google Scholar 

  • Krug, S. E., and Johns, E. F (1986). A large scale cross-validation of second-order personality structure defined by the 16PF. Psychological Reports, 59, 683–693.

    Google Scholar 

  • Livneh, H., and Livneh, C. (1989). The five-factor model of personality: Is evidence of its cross-measure validity premature? Personality and Individual Differences, 10, 75–80.

    Google Scholar 

  • Loehlin, J. C. (1990). Component analysis versus common factor analysis: A case of disputed authorship. Multivariate Behavioral Research, 25, 29–31.

    Google Scholar 

  • MacCallum, R. (1985, July). Some problems in the process of model modification in covariance structure modeling. Paper presented to the European Meeting of the Psychometric Society, Cambridge, England.

    Google Scholar 

  • MacCallum, R. (1986). Specification searches in covariance structure modeling. Psychological Bulletin, 100, 107–120.

    Google Scholar 

  • Marsh, H. W. (1989). Confirmatory factor analyses of multitraitmultimethod data: Many problems and a few solutions. Applied Psychological Measurement, 13, 335–361.

    Google Scholar 

  • Marsh, H. W., and Bailey, M. (1991). Confirmatory factor analyses of multitrait-multimethod data: A comparison of alternative models. Applied Psychological Measurement, 15, 47–70.

    Google Scholar 

  • Marsh, H. W., Balla, J. R., and McDonald, R. P. (1988). Goodnessof-fit indexes in confirmatory factor analysis: The effect of sample size. Psychological Bulletin, 103, 391–410.

    Google Scholar 

  • Marshalek, B., Lohman, D. F., and Snow, R. E. (1983). The complexity continuum in the radex and hierarchical models of intelligence. Intelligence, 7, 107–127.

    Google Scholar 

  • Martin, J. A. (1987). Structural equation modeling: A guide for the perplexed. Child Development, 58, 33–37.

    Google Scholar 

  • Masson, J. M. (1990). Final analysis: The making and unmaking of a psychoanalyst. London: Fontana.

    Google Scholar 

  • Mathews, G. (1989). The factor structure of the I6PF: Twelve primary and three secondary factors. Personality and Individual Differences, 10, 931–940.

    Google Scholar 

  • McArdle, J. J. (1984). On the madness in his method: R. B. Cattell’s contributions to structural equation modeling. Multivariate Behavioral Research, 19, 245–267.

    Google Scholar 

  • McArdle, J. J. (1990). Principal versus principals of structural factor analyses. Multivariate Behavioral Research, 25, 81–87.

    Google Scholar 

  • McCrae, R. R., and Costa, P. T. (1987). Validation of the five-factor model of personality across instruments and observers. Journal of Personality and Social Psychology, 52, 81–90. McCrae, R. R., and Costa, P. T. (1989). The structure of interpersonal traits. Wiggins circumplex and the five-factor model. Journal of Personality and Social Psychology, 56, 586–595. McDonald, R. P. (1985). Factor analysis and related methods. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • McDonald, R. P., and Marsh, H. W. (1990). Choosing a multivariate model: Noncentrality and goodness-of-fit. Psychological Bulletin, 107, 247–255.

    Google Scholar 

  • McKenzie, J. (1988). Three superfactors in the 16PF and their relation to Eysenck’s P, E and N. Personality and Individual Differences, 9, 843–850.

    Google Scholar 

  • Mershon, B., and Gorsuch, R. L. (1988). Number of factors in the personality sphere: Does increase in factors increase predictability of real-life criteria? Journal of Personality and Social Psychology, 55, 675–680.

    Google Scholar 

  • Messick, S. (1992). Multiple intelligence or multilevel intelligence? Selective emphasis on distinctive properties of hierarchy: On Garner’s “Frames of mind” and Stemberg’s “Beyond IQ” in the context of theory and research on the structure of human abilities. Psychological Inquiry, 3, 365–384.

    Google Scholar 

  • Miller, K. M. (1988). The analysis of personality in research and assessment: In tribute to Raymond B. Cattell London: Independent Assessment and Research Centre.

    Google Scholar 

  • Millsap, R. E. (1990). A cautionary note on the detection of method variance in multitrait-multimethod data. Journal of Applied Psychology, 75, 350–353.

    Google Scholar 

  • Mischel, W. (1984). Convergencies and challenges in the search for consistency. American Psychologist, 39, 351–364.

    Google Scholar 

  • Moos, R. (1985). Perimenstrual symptoms: A manual and overview of research with the Menstrual Distress Questionnaire. Palo Alto, CA: Department of Psychiatry and Behavioral Sciences, Stanford University.

    Google Scholar 

  • Morey, L. C. (1991). Personality Assessment Inventory: Professional manual. Odessa, FL: Psychological Assessment Resources.

    Google Scholar 

  • Mulaik, S. A. (1986). Factor analysis and psychometrika: Major developments. Psychometrika, 51, 23–33.

    Google Scholar 

  • Mulaik, S. A. (1987). Toward a conception of causality applicable to experimentation and causal modeling. Child Development, 58, 18–32.

    Google Scholar 

  • Mulaik, S. A. (1990). Blurring the distinctions between component analysis and common factor analysis. Multivariate Behavioral Research, 25, 53–59.

    Google Scholar 

  • Mulaik, S. A., James, L. R., Alstine, van J., Bennett, N., Lind, S., and Stilwell, C. D. (1989). Evaluation of goodness-of-fit indices for structural equation models. Psychological Bulletin, 105, 430–445.

    Google Scholar 

  • Muthén, B. O. (1988). LISCOMP: Analysis of linear structural equations with comprehensive measurement model ( 2nd ed. ). Mooresville, IN: Scientific Software.

    Google Scholar 

  • Nesselroade, J. R., and Cattell, R. B. (Eds.). (1988). Handbook of multivariate experimental psychology (rev. 2nd ed. ). New York: Plenum.

    Google Scholar 

  • Norman, W. T. (1963). Toward an adequate taxonomy of personality attributes: Replicated factor structure in peer nomination personality ratings. Journal of Abnormal and Social Psychology, 66, 574–583.

    PubMed  Google Scholar 

  • O’Toole, B. I., and Stankov, L. (1992). Ultimate validity of psychological tests. Personality and Individual Differences, 13, 699–716.

    Google Scholar 

  • Poon, W. Y., and Lee, S. Y. (1987). Maximum likelihood estimation of multivariate polyserial and polychoric correlation coefficients. Psychometrika, 52, 409–430.

    Google Scholar 

  • Powell, G. E. (1979). Brain and personality. Farnborough, England: Saxon House.

    Google Scholar 

  • Prosser, R., Rasbash, J., and Goldstein, H. (1991). ML3 software for three-level analysis: User’s guide for version 2. London: Institute of Education, University of London.

    Google Scholar 

  • Romney, D. M., and Bynner, J. M. (1992). The structure of personal characteristics. Westport, CT: Praeger.

    Google Scholar 

  • Roseboom, W. W. (1990). Whatever happened to broad perspective? Multivariate Behavioral Research, 25, 61–65.

    Google Scholar 

  • Rudy, T. E., Turk, D. C., and Brody, M. C. (1992). Quantification of biomedical findings in chronic pain: Problems and solutions. In D. Turk and R. Melzack (Eds.), Handbook of pain assessment. New York: Guilford.

    Google Scholar 

  • Russell, E. W., Neuringer, C., and Goldstein, G. (1970). Assessment of brain damage: A neuropsychological key approach. New York: Wiley-Interscience.

    Google Scholar 

  • Schmidt, L. R. (1988). Objective personality tests: Some clinical applications. In K. M. Miller (Ed.), The analysis of personality in research and assessment: In tribute to Raymond B. Cattell. London: Independent Assessment and Research Centre.

    Google Scholar 

  • Schmitt, M. J., and Steyer, R. (1993). A latent state-trait model (not only) for social desirability. Personality and Individual Differences, 14, 519–529.

    Google Scholar 

  • Schmitt, N., and Stults, D. N. (1986). Methodology review: Analysis of multitrait-multimethod matrices. Applied Psychological Measurement, 10, 1–22.

    Google Scholar 

  • Schönemann, P. H. (1990). Facts, fictions, and common sense about factors and components. Multivariate Behavioral Research, 25, 47–51.

    Google Scholar 

  • Schuerger, J. M. (1986). Personality assessment by objective tests. In R. B. Cattell and R. C. Johnson (Eds.), Functional psychological testing: Principles and instruments. New York: Brunner/Mazel.

    Google Scholar 

  • Schuerger, J. M. (1992). The Sixteen Personality Factor Questionnaire and its junior versions. Journal of Counseling and Development, 71, 231–244.

    Google Scholar 

  • Schwartz, B., and Reisberg, D. (1992). Learning and memory. New York: Norton.

    Google Scholar 

  • Shavelson, R., Webb, N. M., and Rowley, G. L. (1989). Gener alizability theory. American Psychologist, 44, 922–932.

    Google Scholar 

  • Snook, S. C., and Gorsuch, R. L. (1989). Principal component analysis versus common factor analysis: A Monte Carlo study. Psychological Bulletin, 106, 148–154.

    Google Scholar 

  • Snow, R. E., Killonen, P. C., and Marshalek, B. (1984). The topography of ability and learning correlations. In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 2 ). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Soldz, S., Budman, S., Demby, A., and Merry, J. (1993). Representation of personality disorders in circumplex and five-factor space: Explorations with a clinical sample. Psychological Assessment, 5, 41–52.

    Google Scholar 

  • Spielberger, C. D., Gorsuch, R. L., Lushene, R. E., Vagg, R R., and Jacobs, G. A. (1986). Manual for the State-Trait Anxiety Inventory-Form Y. Palo Alto, CA: Consulting Psychologists Press.

    Google Scholar 

  • Stankov, L. (1978). Fluid and crystallized intelligence and broad perceptual factors among 11 to 12 year olds. Journal of Educational Psychology, 70, 324–334.

    Google Scholar 

  • Stankov, L. (1980). Psychometric factors as cognitive tasks: A note on Carroll’s “new structure of intellect.” Intelligence, 4, 65–71.

    Google Scholar 

  • Stankov, L. (1983). Attention and intelligence. Journal of Educational Psychology, 75, 471–490.

    Google Scholar 

  • Stankov, L. (1986). Kvashchev’s experiment: Can we boost intelligence? Intelligence, 10, 209–230.

    Google Scholar 

  • Stankov, L. (1987). Level UII: A theory ready to be archived. In S. Modgil and C. Modgil (Eds.), Arthur Jensen: Consensus and controversy. London: Falmers.

    Google Scholar 

  • Stankov, L. (1989). Attentional resources and intelligence: A disappearing link. Personality and Individual Differences, 10, 957–968.

    Google Scholar 

  • Stankov, L., and Chen, K. (1988). Can we boost fluid and crystallized intelligence? A structural modeling approach. Australian Journal of Psychology, 40, 363–376.

    Google Scholar 

  • Stankov, L., and Crawford, J. D. (1983). Ingredients of complexity in fluid intelligence. Learning and Individual Differences, 5, 73–111.

    Google Scholar 

  • Stankov, L., and Cregan, A. (1993). Quantitative and qualitative properties of an intelligence test: Series Completion. Learning and Individual Differences, 5, 137–169.

    Google Scholar 

  • Stankov, L., and Horn, J. L. (1980). Human abilities revealed through auditory tests. Journal of Educational Psychology, 72, 19–42.

    Google Scholar 

  • Stankov, L., Horn, J. L., and Roy, T. (1980). On the relationship between Gf/Gc theory and Jensen’s Level I/Level II theory. Journal of Educational Psychology, 72, 796–809.

    Google Scholar 

  • Stankov, L., and Myors, B. (1990). The relationship between working memory and intelligence: Regression and COSAN analyses. Personality and Individual Differences, 11, 1059–1068.

    Google Scholar 

  • Steiger, J. H. (1989). EzPATH: A supplementary module for SYSTAT and SYGRAPH. Evanston, IL: SYSTAT.

    Google Scholar 

  • Tanaka, J. S. (1987). “How big is big enough?”: Sample size and goodness of fit in structural equation models with latent variables. Child Development, 58, 134–146.

    Google Scholar 

  • Thorndike, R. L. (1982). Applied psychometrics. Boston: Houghton Mifflin.

    Google Scholar 

  • Thomdike, R. L., Hagen, E. P., and Sattler, J. M. (1986). Technical manual: Stanford-Binet Intelligence Scale ( 4th ed. ). Chicago: Riverside.

    Google Scholar 

  • Tupes, E. C., and Christal, R. E. (1961). Recurrent personality factors based on trait ratings. USAF ASD Technical Report, No. 61–97.

    Google Scholar 

  • Velicer, W. F., and Jackson, D. N. (1990a). Component analysis versus common factor analysis: Some issues in selecting an appropriate procedure. Multivariate Behavioral Research, 25, 1–28.

    Google Scholar 

  • Velicer, W. F., and Jackson, D. N. (1990b). Component analysis versus common factor analysis: Some further observations. Multivariate Behavioral Research, 25, 97–114.

    Google Scholar 

  • Wainer, H., Dorms, N. J., Flauger, R., Green, B. F., Mislevy, R. J., Steinberg, L., and Thissen, D. (1990). Computerized adaptive testing: A primer. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Webb, N. M., Shavelson, R. J., and Maddahian, E. (1983). Multivariate generalizability theory. In L. J. Fyans, Jr. (Ed.), New directions for testing and measurement: Generalizability theory (pp. 67–82 ). San Francisco: Jossey-Bass.

    Google Scholar 

  • Wechsler, D. (1991). Wechsler Intelligence Scale for Children-III. San Antonio, TX: Psychological Corporation.

    Google Scholar 

  • Weiss, D. J., and Yoes, M. E. (1990). Item response theory. In R. K. Hambleton and J. N. Zaal (Eds.), Advances in educational and psychological testing: Theory and applications. Boston: Kluwer.

    Google Scholar 

  • Widaman, K. F. (1990). Bias in pattern loadings represented by common factor analysis and component analysis. Multivariate Behavioral Research, 25, 89–95.

    Google Scholar 

  • Wiggins, J. S., and Pincus, A. L. (1992). Personality: Structure and assessment. Annual Review of Psychology, 43,473–504. Wiggins, J. S., and Trapnell, P. D. (in press). Personality structure: The return of the big five. In S. R. Briggs, R. Hogan, and W. H. Jones (Eds.), Handbook of personality psychology Orlando, FL: Academic Press.

    Google Scholar 

  • Williams, L. J., Cote, J. A., and Buckley, M. R. (1989). Lack of method variance in self-reported affect and perceptions at work: Reality or artifact? Journal of Applied Psychology, 74, 462–468.

    Google Scholar 

  • Winer, B. J., Brown, D. R., and Michels, K. M. (1991). Statistical principles in experimental design (rev. 3rd ed. ). New York: McGraw-Hill.

    Google Scholar 

  • Woliver, R. E., and Saeks, S. D. (1986). Intelligence and primary aptitudes: Test design and tests available. In R. B. Cattell and R. C. Johnson (Eds.), Functional psychological testing: Principles and instruments. New York: Brunner/Mazel.

    Google Scholar 

  • Woodcock, R. W., and Mather, N. (1989). Woodcock-Johnson Tests of Cognitive Ability. Allen, TX: DLM Teaching Resources.

    Google Scholar 

  • Zuckerman, M. (1991). Psychobiology of personality. New York: Cambridge University Press.

    Google Scholar 

  • Zuckerman, M. (1992). What is a basic factor and which factors are basic? Turtles all the way down. Personality and Individual Differences, 6, 675–681.

    Google Scholar 

  • Zuckerman, M., Kuhlman, D. M., and Camac, C. (1988). What lies beyond E and N? Factor analyses of scales believed to measure basic dimensions of personality. Journal of Personality and Social Psychology, 54, 96–107.

    Google Scholar 

  • Zuckerman, M., Kuhlman, D. M., Thornquist, M., and Kiers, H. (1991). Five (or three) robust questionnaire scale factors of personality without culture. Personality and Individual Differences, 12, 929–941.

    Google Scholar 

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Boyle, G.J., Stankov, L., Cattell, R.B. (1995). Measurement and Statistical Models in the Study of Personality and Intelligence. In: Saklofske, D.H., Zeidner, M. (eds) International Handbook of Personality and Intelligence. Perspectives on Individual Differences. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-5571-8_20

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