Go to the content. | Move to the navigation | Go to the site search | Go to the menu | Contacts | Accessibility

| Create Account

Natali, Elena (2008) La costruzione di una batteria psico-attitudinale multipla (BPM). [Ph.D. thesis]

Full text disponibile come:

[img]
Preview
Documento PDF
1611Kb

Abstract (english)

Scientific literature contains a great deal of research on intelligence, and several theories have been elaborated in the past years. Although there are different definitions and theories on the actual structure of intelligence, all researchers agree that intelligence is a latent construct and can only be measured through observable behaviours involving cognitive capacity, never directly.
Tests are a typical tool used to measure and assess intelligence, an instrument firmly rooted in antiquity as illustrated by a Chinese author (1980), who cites an initial experiment to create tests to assess candidates for positions at the Imperial Court in the 3rd century. These were based on the assessment of verbal and writing speed, and later evolved to use verbal analogy or uncompleted sentences (Boncori, 2002). However the first official test of intelligence was born in 1905 with Binet and Simon's Metric Scale of Intelligence.
The aim of our paper is to investigate and measure intelligence construct, using both traditional paper-and-pencil tests (P&P) and more recent Computer Adaptive Testing (CAT).
The dissertation is divided into seven chapters.
The first chapter contains a short definition of intelligence and aptitude. It introduces the principal differential theories such as Spearman's unidimensional theory and Thurstone's multidimensional theory, and more recent theories such as Sternberg's theory of practical intelligence, Gardner's multiple intelligences and Goleman's emotional intelligence.
The second chapter reviews the birth of psychometric tools and examines the principal psychometric tests used to measure intelligence and multiple factors in scientific literature.
The third chapter introduces Item Response Theory (IRT). This is the rationale of empiric contributions shown in the 4, 5 and 7 chapters. IRT is a replacement of the famous Classical Test Theory (CTT), which due to its psychometric advantages makes it more useful in the application area than CTT.
The fourth chapter illustrates the first empirical contribution: distribution of the first version of Batteria Psico-attitudinale Multipla (multiple psycho-attitudinal battery) (BPM). BPM is a multidimensional psychometric test of intelligence and it measures three kind of aptitudes: verbal ability, abstract reasoning and logical reasoning. Each aptitude is measured by a specific subtest. Verbal ability is measured by synonyms, contraries and sentence comprehension; abstract reasoning by abstract series and abstract analogies; logical reasoning by numeric series and problems. The distribution was run among 407 subjects, and appropriate statistical analysis was conducted with reference to IRT in order to investigate the psychometrical characteristics of items. On the basis of results the first version of BPM was adjusted and a second version was implemented.
The fifth chapter contains the results of the second distribution of the second version of BPM. As in the first research project, each subtest is monodimensional and reliability values were high. However some items were proved inadequate and further adjustments are necessary.
The sixth chapter examines the Computer Adaptive Testing (CAT). CAT was first used in the 80s, when personal computers became more common and permitted the application of the idea (not new) to adapt the test to the subject's profile. CAT selects specific items on the basis of the level of estimated ability of the subject. Ability is assessed as an ongoing part of the test as the subject answers, ensuring maximum precision.
The seventh chapter illustrates an empirical CAT contribution. On the basis of a collaboration with Italian Air Force two P&P tests of English knowledge were distributed. This was a preliminary phase prior to implementing CAT. Each test was distributed to a batch sample of roughly 300 people in a competitive environment. Results were analysed to assess factorial structure, reliability and each items' psychometric characteristics. On the basis of results, the items with bad item fits were deleted. An equating process was then developed to link two sets of estimated items, which were calibrated on two different samples. The next step will be to implement a CAT application, when this has been defined by the military authorities.


Statistiche Download - Aggiungi a RefWorks
EPrint type:Ph.D. thesis
Tutor:Barbaranelli, Claudio
Ph.D. course:Ciclo 20 > Scuole per il 20simo ciclo > SCIENZE PSICOLOGICHE > PSICOLOGIA SOCIALE E DELLA PERSONALITA'
Data di deposito della tesi:2008
Anno di Pubblicazione:2008
Key Words:Intelligenza, attitudini, Item Response Theory (IRT), Computer Adaptive Testing (CAT)
Settori scientifico-disciplinari MIUR:Area 11 - Scienze storiche, filosofiche, pedagogiche e psicologiche > M-PSI/06 Psicologia del lavoro e delle organizzazioni
Struttura di riferimento:Dipartimenti > Dipartimento di Psicologia Generale
Codice ID:330
Depositato il:14 Oct 2008
Simple Metadata
Full Metadata
EndNote Format

Bibliografia

I riferimenti della bibliografia possono essere cercati con Cerca la citazione di AIRE, copiando il titolo dell'articolo (o del libro) e la rivista (se presente) nei campi appositi di "Cerca la Citazione di AIRE".
Le url contenute in alcuni riferimenti sono raggiungibili cliccando sul link alla fine della citazione (Vai!) e tramite Google (Ricerca con Google). Il risultato dipende dalla formattazione della citazione.

1. Andrich, D. (1988). Rasch Models for Measurement. Newbury Park (CA): Sage. Cerca con Google

2. APA (American Psychological Association) (1954). Technical Recommendations for Psychological Tests and Diagnostic Techniques. Psychological Bulletin, 51, supplemento. Cerca con Google

3. Barbaranelli, C. (2007). Analisi dei dati. Milano: LED. Cerca con Google

4. Barbaranelli, C. e Natali, E. (2005). I test psicologici: teorie e modelli psicometrici. Roma: Carocci. Cerca con Google

5. Bentler, P.M. (1990). Comparative fit indexes in structural equations models. Psychological Bulletin, 107, 238-246. Cerca con Google

6. Binet, A. e Simon, T. (1905). Méthodes nouvelles pour le diagnostic du niveau intellectual des anormaux. L’Année psychologique, 11, 191–336. Cerca con Google

7. Binet, A. e Simon, T. (1916). The development of intelligence in children (E. Kit, Trans.). Baltimore, MD:Williams & Wilkins. Cerca con Google

8. Birnbaum, A. (1968). Some Latent Trait Models and Their Use to Inferring an Examinee's Ability. In Lord, F.M e Novick, M.R. (1968), pp.197-479. Cerca con Google

9. Bock, R.D. (1972). Estimating Item Parameters and Latent Ability When Responses Are Score in Two or More Nominal Categories. Psychometrika, 37, pp.29-51. Cerca con Google

10. Bock, R.D. e Aitkin, M.(1981). Marginal Maximum Likelihood Estimation of Item Parameters. Application of an EM Algorithm. Psychometrika, 46, pp.443-459. Cerca con Google

11. Boncori, L. (2002). Teoria e tecniche dei test. Torino: Bollati Boringhieri. Cerca con Google

12. Burt, C.L. (1961). Intelligence and social mobility. British Journal of Statistical Psychology, 14, 3-24. Cerca con Google

13. Cacciola, C. e Granito, F. (a cura di ) (1992). Test psicometrici. Napoli: Simone. Cerca con Google

14. Carroll, J.B. (1993). Human cognitive abilities: A survey of factor-analytic studies. Cambridge: Cambridge University Press. Cerca con Google

15. Carroll, J.B. (1996). A three-stratum theory of intelligence: Spearman's contribution. In I. Dennis e P. Tapsfield (Eds.), Human abilities: Their nature and measurement. NJ: Lawrence Erlbaum Associates. Cerca con Google

16. Cattell, R.B. (1955). Lo stato attuale della ricerca e costruzione di tests fattoriali di attitudine e personalità . Archivio di Psicologia Neurologica e Psichiatrica, Luglio - Ottobre, fascicolo IV e V. Cerca con Google

17. Cattell, R.B. (1963). The theory of fluid and crystallized intelligence: A crucial experiment. Journal of Educational Psychology, 54, 1-22. Cerca con Google

18. Cattell, R.B. e Cattell, A.K.S. (1981). Misurare l'intelligenza con i test "Culture Fair". Firenze:Organizzazioni speciali. Cerca con Google

19. Cocci, F. (1998). Adattamento italiano del General Clerical Test - e primi dati di taratura. Firenze: Organizzazioni Speciali. Cerca con Google

20. Comrey, A.L. e Lee, H.B. (1992). A First Course in Factor Analysis. Hillsdale (NJ): Lawrence Erlbaum Associates (trad. It: Introduzione all'analisi fattoriale. Milano 1995: LED. Cerca con Google

21. Cronbach, L.G. (1970). Essentials of psychological testing. New York: Harper & Row. Cerca con Google

22. Di Fabio A. (1998). Psicologia dell'orientamento. Firenze: Giunti. Cerca con Google

23. De Mauro, T. (2000). Grande Dizionario Italiano dell'Uso. Torino: UTET Editoria Multimediale. Cerca con Google

24. Drasgow, F., Levine, M.V. e Williams, E.A. (1985). Appropriateness Measurements with Polychotomous Item Response Models and Standardized Indices. British Journal of Mathematical and Statistical Psychology, 38, pp. 67-86. Cerca con Google

25. Dunnette, M.D. (1990). La psicologia nella selezione del personale. Milano: Franco Angeli. Cerca con Google

26. Embretson, S.E. e Reise S.P. (2000). Item Response Theory for Psychologists. Londra: LEA. Cerca con Google

27. Ercolani, A.P. e Perugini, M. (1997). La misura in psicologia. Milano:LED. Cerca con Google

28. Galton, F. (1883). Inquiry into human faculty and its development. London: Mcmillan. Cerca con Google

29. Gardner, H. (1983). Frames of Minds: The theory of multiple intelligence. New York: Basic Books. Cerca con Google

30. Giambelluca, A. e Zizolfi, S. (1983). Contributo alla taratura italiana del test D 70: dati normativi da un campione de 2221 neodiplomati di sesso maschile. Bollettino di Psicologia Applicata, 165, 43-51. Cerca con Google

31. Goleman , D. (1999). Intelligenza emotiva. Milano: BUR Saggi. Cerca con Google

32. Greeno, J.G. (1978). Natures of problem-solving abilities. In W.K. Estes (a cura di) Handbook of learning and cognitive processes. Vol. 5: Human Information Processing. Hillsdale, NJ: Erlbaum. Cerca con Google

33. Guilford, J.P. (1967). The nature of human intelligence. New York: Mcgraw-Hill. Cerca con Google

34. Guilford, J.P. (1982). Cognitive psychology's ambiguities. Some suggested remedies. Psychological Revew, 89, 48-59. Cerca con Google

35. Guttman, L. (1965). A faceted definitions of intelligence. In:R.R. Eiferman (Ed.), Scripta Hierosolymitana (Vol. 14). Jerusalem: Magnes Press. Cerca con Google

36. Haebara, T. (1980). Equating logistic ability scales by a weighted least squares method: Japanese Psychological Research, 22, 144-149. Cerca con Google

37. Hambleton, R.K. e Swaminathan, H. (1985). Item Response Theory: Principles and Applications. Norwell (MA): Kluwer Academic Publishers. Cerca con Google

38. Hambleton, R.K., Swaminathan, H. e Rogers, H. J. (1991). Fundamentals of Item Response Theory. New Delhi: Sage publications. Cerca con Google

39. Hanson, B. e Zeng, L. (2004). ST. A Computer Program for IRT Scale Transformation. http://www.education.uiowa.edu/casma /computer_programs.htm Vai! Cerca con Google

40. Holloway, A.J. (1986) COAB Batteria Attitudinale per Operatori e Programmatori di Computer. Firenze:Organizzazioni Speciali. Cerca con Google

41. Horn, J.L. e Cattell, R.B. (1966). Refinement and test of the theory of fluid and crystallized intelligence. Journal of Educational Psychology, 57, 253-270. Cerca con Google

42. Hu. L. e Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis. Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-35. Cerca con Google

43. Jensen, A.R. (1967). Social class, race, and genetics: Implication for education. Invited address before the American Educational Research Association, New York City, February, 17. Cerca con Google

44. Jensen, A.R. (1980). Bias in mental testing. New York, NY: Free Press. Cerca con Google

45. Jensen, A.R. (1998). The g factor: The science of mental ability. Wesport, CT: Praeger. Cerca con Google

46. Jöreskog, K.G. e Sörbom, D. (1984). LISREL VI: Analysis of linear structural relationship by maximum likelihood, instrumentals variables, and least squares methods. Mooresville, IN: Scientific Software Inc. Cerca con Google

47. Jöreskog, K.G., Sörbom, D., du Toit, S.e du Toit, M. (2000). LISREL 8: New Statistical Features. Chicago: SSI. Cerca con Google

48. Kim, S.H. e Cohen, A.S. (1998). A comparison of linking and concurrent calibration under item response theory. Applied Psychological Measurement, 22(2), 131-143. Cerca con Google

49. Kline, P. (1996). Manuale di psicometria. Roma: Astrolabio. Cerca con Google

50. Koch, D.A. (1993). Testing goes graphical. Journal of Interactive Instruction Development, 5, 14-21. Cerca con Google

51. Kolen, M.J. e Brennan, R.L. (2004). Test Equating, Scaling and Linking. New York: Springer Verlag. Cerca con Google

52. Kourovsty, F. e Rennes, P. (1973). Manuale del D 70. Firenze: Organizzazioni Speciali. Cerca con Google

53. Lemke, E. e Wiersma, W. (1976). Principles of Psychological Measurement. Chicago: Rand McNally College. Cerca con Google

54. Lord, F.M. (1952). A Theory of Test Scores. New York: Psychometric Society. Cerca con Google

55. Lord, F.M (1977). Practical Applications of Item Characteristic Curve Theory. Journal of Educational Measurement, 14, pp.117-138. Cerca con Google

56. Lord, F.M e Novick, M.R. (1968). Statistical Theories of Mental Test Scores. Addison Wesley, Reading (MA). Cerca con Google

57. Masters, G.N. (1982). A Rasch Model For Partial Credit Scoring. Psychometrika, 47, pp.149-174. Cerca con Google

58. Mathews, N.N., Hunt, E.B, e McLeod, C.M. (1980). Strategy choice and strategy training in sentence-picture verification. Journal of Verbal Learning and Verbal Behavior, 19, 531-548. Cerca con Google

59. Mayer, J.D. e Salovey, P. (1997). What is emotional intelligence. In P. Salovey e D. Sluyter (Eds.), Emotional development and emotional intelligence: Implications for educators. (pp. 3-31). New York: Basic Books. Cerca con Google

60. McGee, M. G. (1979).Human spatial abilities: Psychometric studies andenvironmental, genetic, hormonal,and neurological influences. Psychological Bulletin, 86, 889-918. Cerca con Google

61. McLeod, C.M, Hunt, E.B. e Mathews, N.N. (1978). Individual differences in the verification in the sentence - picture relationships. Journal of Verbal Learning and Verbal Behavior, 17, 493-507. Cerca con Google

62. Muraki, E. (1990). Fitting a Polytomous Item Response Model in Likert-type Data. Applied Psychological Measurement, 14, pp. 59-71. Cerca con Google

63. Muraki, E. (1992). A Generalized Partial Credit Model: Application of EM Algorithm. Applied Psychological Measurement, 16, pp. 159-176. Cerca con Google

64. Muraki, E. (1993). Information Functions of the Generalized Partial Credit Model Model. Applied Psychological Measurement, 17, pp. 351-365. Cerca con Google

65. Muthén, L. e Muthèn, B. (1998). Mplus user’s guide. Los Angeles, CA, Muthén e Muthén. Cerca con Google

66. Nunnally, J.C. e Bernstein, I.H. (1994). Psychometric Theory. New York: McGraw-Hill. Cerca con Google

67. Orlando, M. (1997). Item Fit in the Contest of Item Response Theory. Doctoral Dissertation, University of North Caroline. Dissertation Abstracts International, 58/04-B, p.2175. Cerca con Google

68. Orlando, M. e Thissen D. (2000). Likelihood-Based Item-Fit Indices for Dichotomous Item Response Theory Models. Applied Psychological Measurement, vol. 24, n. 1, pp. 50 - 64. Cerca con Google

69. Parshall, C.G., Steward, R. e Ritter, J. (1996). Using an audio computer-based progress exam to test the listening skills of non-native speakers. Paper presented at the Symposium on Educational Technology: Teaching for the 21st Century, April Venezuela. Cerca con Google

70. Perkins, D. (1981). The mind's best work. Cambridge: Harvard University Press. Cerca con Google

71. Polacek, K. (2001). IST-2000 Test di Struttura dell'Intelligenza di Rudolf Amthauer, Burkhard Brocke, Detlev Liepmann, Andrè Beauducel- Adattamento italiano - Manuale. Firenze: Organizzazioni Speciali. Cerca con Google

72. Psychological Corporation (1999) DAT - Differential Aptitude Tests Manuale Quinta Edizione - Adattamento Italiano a cura del Centro Studi O.S.. Firenze: Organizzazioni Speciali. Cerca con Google

73. Psychometric Research Unit, The Hatfield Polytechnic, Hatfield, Hertfordshire (1996). GMA - Graduate and Managerial Assessment manuale. Firenze: Organizzazioni Speciali. Cerca con Google

74. Rasch, G. (1960). Probabilistic Model for some Intelligence and Attainment Test. Copenhagen: Danish Institute for Educational Research. Cerca con Google

75. Raven, J.C. (1962). Progressive Matrici - Serie I e II - Revisione 1962 - Traduzione a cura di G. Ferrara-Mori - MANUALE. Firenze: Organizzazioni Speciali. Cerca con Google

76. Samejima, F. (1969). Estimation of Latent Ability Using a Response Pattern of Graded Scores. Psychometrika Monograph, 17, 34, 4, pp. 100-114. Cerca con Google

77. Samejima, F. (1997). Graded Response Model. In Van Der Linden, Hambleton (1997), pp. 85-100. Cerca con Google

78. Sands, W.A., Waters, B.K. e McBride, J.R. (1997). Computerized Adaptive Testing. From Inquirity to Operation. Washington (DC): American Psycholgoical Association. Cerca con Google

79. Smith, P. e Whetton, C. (1996) GAT - General Ability Tests - Adattamento Italiano a cura del Centro Studi O.S.- Manuale. Firenze: Organizzazioni Speciali. Cerca con Google

80. Smith, P. e Whetton, C. (2004) CRT - Critical Reasoning Tests.- Adattamento Italiano a cura del Centro Studi O.S.- Manuale. Firenze: Organizzazioni Speciali. Cerca con Google

81. Spearman, C.E. (1946). Theory of the general factor, British Journal of Psychology, 36, 117-131. Cerca con Google

82. Steiger, J.H. (1990). Structural model evaluation and modification: an interval estimation approach. Multivariate Behavioral Research, 25, 173-180. Cerca con Google

83. Steiger, J.H e Lind, J.M. (1980). Statistically based tests for the number of common factors. Paper presented at the annual meeting of the Psychometric Society, Iowa City, IA. Cerca con Google

84. Stern, W. 1912. Psychologische Methoden der intelligenzprüfung. Leipzig: Barth. Cerca con Google

85. Sternberg, R.J. (1987). Teorie dell'intelligenza. Milano: Bompiani. Cerca con Google

86. Sternberg, R.J. (2000). Handbook of intelligence. Cambridge University Press. Cerca con Google

87. Sternberg, R.J. e Davidson, J.E. (1982). The mind of the puzzler. Psychology Today, 16, June, 37-44. Cerca con Google

88. Sternberg, R.J. e Davidson, J.E. (1983). Insight in the gifted. Educational Psychologist, 18, 51-57. Cerca con Google

89. Stocking, M.L. e Lord, F.M. (1983). Developing a common metric in item response theory. Applied Psychological Measurement, 7, 201-210. Cerca con Google

90. Terman, L. M. (1916). The measurement of intelligence: An explanation of and a complete guide for the use of the Stanford revision and extension of the Binet-Simon Intelligence Scale. Boston: Houghton Mifflin. Cerca con Google

91. Thissen, D. (1991). MULTILOG User's Guide. Chicago: SSI. Cerca con Google

92. Thissen, D. e Steinberg, L. (1986). A Taxonomy of Item Response Theory. Psychometrika, vol. 51, n. 4, pp. 567 - 577. Cerca con Google

93. Thurstone, L.L. (1938). Primary mental abilities. Chicago: University of Chicago Press. Cerca con Google

94. Tucker, L.R. e Lewis, C. (1973). The reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1-10. Cerca con Google

95. van der Linder, W.J. e Glas, C.A.W. (2003). Computerized Adaptive Testing. Theory and Practice. Dordrecht (NL): Kluwer Academic. Cerca con Google

96. Vernon, P.E. (1971). The structure of human abilities. London: Methuen. Cerca con Google

97. Wainer, H. (2000). Computerized Adaptive Testing. A Primer. London: Lawrence Erlbaum Associates. Cerca con Google

98. Wagner, R.K. e Sternberg, R.J. (1985). Practical Intelligence in real-world pursuits: the role of tacit knowledge. Journal of Personality and Social Psychology, 50, 737-743. Cerca con Google

99. Wechsler, D. (1981). WAIS-R. Wechler Adult Intelligence Scale - Revised. New York: The Psychological Corporation (ed. it.: a cura di C. Laicardi e A. Orsini, WAIS-R - Wechsler Adult Intelligence Scale - Revised. O.S. Organizzazioni Speciali, Firenze, 1997). Cerca con Google

Download statistics

Solo per lo Staff dell Archivio: Modifica questo record