Abstract
In most cognitive tests of conventional design the subject gains a mark for every problem correctly solved within a time limit. The score thus gained depends in part on the choice of problems attempted, in part on the rate at which the subject works, and in part on the extent to which he abandons problems which, given greater persistence, he might eventually solve correctly. Furthermore, the extent to which these different aspects of test and performance influence total score is quite unknown. Clearly, such a single score can be only an incomplete and probably quite inadequate summary of a very complicated problem solving performance.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Andrich D (1978) A binomial latent trait model for the study of Lickert style attitude questionnaires. Br J Math Stat Psychol 31: 84–98
Berger M (1976) A study of the Eysenck-Furneaux approach to the analysis of performance on intelligence tests. Ph D thesis, University of London
Birnbaum A (1968) Some latent trait models and their use in inferring an examinee’s ability. Chapters 17–20 In: Lord FM, Novick MR (eds) Statistical theories of mental test scores. Addison-Wesley, Reading MA, pp 395–479
Brierley H (1967) Intelligence measurements. Nature 214: 1056
Brierley H (1969) The intellectural speed and accuracy of psychiatric patients diagnosed as neurotic. PhD thesis, University of Leeds
Cox DR (1962) Renewal theory. Methuen, London
David FN,Moeschberger ML (1978)The theory of competing risks.Griffin,London
Eysenck HJ (1953) Uses and abuses of psychology. Penguin, Harmondsworth
Eysenck HJ (1967) Intelligence assessment: a theoretical and experimental approach. Br J Educ Psychol 37: 81–98
Eysenck HJ (ed) (1973) The measurement of intelligence. M T P Press, Lancaster
Fischer G (1974) Einführung in die Theorie psychologischer Tests. H Huber, Bern
Furneaux WD (1952) Some speed, error, and difficulty relationships within a problem solving situation. Nature 170: 3
Furneaux WD (1955) The Nufferno tests. NFER bull 6:32–36 National Foundation for Educational Research, Slough
Furneaux WD (1960) Intellectual abilities and problem solving behaviour. In: Eysenck HJ (ed) Handbook of abnormal psychology. Pitman, London, pp 167–192
Hanna JF (1969) Some information measures for testing stochastic models. J Math Psychol 6: 294–310
Iseler A (1970) Leistungsgeschwindigkeit und Leistungsgüte. Beltz, Weinheim
Joreskog KG (1967) Some contributions to maximum likelihood factor analysis. Psychometrika 32: 443–482
Joreskog KG (1969) A general approach to confirmatory maximum likelihood factor analysis.Psychometrika 34: 183–202
Joreskog KG (1970) A general method for analysis of covariance structures. Biometrika 57: 239–251
Kalbfleisch JD, Prentice RL (1980) The statistical analysis of failure time data. Wiley, New York
Lord FM (1968) An analysis of the verbral scholastic aptitude test using Birnbaum’s three parameter logistic model. Educ Psychol Meas 28: 989–1020
Lord FM, Novick MR (1968) Statistical theories of mental test scores. Addison-Wesley, Reading Ma.
Parzen E (1960) Modern probability theory and its applications. Wiley, New York
Ramsey JO (1975) Solving implicit equations in data analysis. Psychometrika 40: 337–360
Rasch G (1960a) Probabilistic models for some intelligence and attainment tests. Paedagogiske Institut, Copenhagen
Rasch G ( 1960 b) On general laws and the meaning of measurement in Psychology. In: Neman J Proceedings of the fourth Berkeley symposium on mathematical statistics. University of California Press, Berkeley London, pp 321–333
Thorndike EL (1925) The improvement of mental measurement. J Educ Res 11: 1–11
Thorndike EL, Bergman EO, Cobb MY, Woodyard E (1927); The measurement of intelligence. Columbia University, Teachers College, New York.
Thurstone LL (1937) Ability, motivation and speed. Psychometrika 2: 249–254
Van der Ven AHGS (1969) The binomial error model applied to time limit tests. Schippers,Nijmegen
Van der Ven AHGS (1971) Time limit tests: a critical review. Psychologie (Bern) 26: 580
White PO ( 1973 a) A mathematical model for individual differences in problem solving. In: Elithorn A, Jones D (eds) Artificial and human thinking. Elsevier, Amsterdam, pp 235–240
White PO (1973b) Individual differences in speed, accuracy and persistence: a mathematical model for problem solving. In: Eysenck HJ (ed); The measurement of intelligence. Press, MTP Press, Lancaster, pp 246–260
White PO (1976) A note on Keats’ generalization of the Rasch model. Psychometrika 41: 405
Wiseman M (1975) Omissiveness, personality and intelligence: some latent trait models. PhD thesis, University of London
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1982 Springer-Verlag, Berlin Heidelberg
About this chapter
Cite this chapter
White, P.O. (1982). Some Major Components in General Intelligence. In: Eysenck, H.J. (eds) A Model for Intelligence. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-68664-1_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-68664-1_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-68666-5
Online ISBN: 978-3-642-68664-1
eBook Packages: Springer Book Archive