Examining the Flynn Effect in the General Social Survey Vocabulary test using item response theory

Personality and Individual Differences

Volumn 48, Issue 3, 2010, Pages 294-298

  Alexander Beaujean, A ^a   Sheng, Yanyan ^b  

^a BAYLOR UNIVERSITY   (United States)

^b SOUTHERN ILLINOIS UNIVERSITY   (United States)

Author keywords

Flynn Effect; General Social Survey; Item response theory

Indexed keywords

EID: 71749121780     PISSN: 01918869     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.paid.2009.10.019     Document Type: Article

References (46)

1. Baker F.B., and Kim S.-H. Item response theory: Parameter estimation techniques. 2nd ed. (2004), Mercel Dekker, New York
2. Beaujean A.A., and Osterlind S.J. Using item response theory to assess the Flynn Effect in the National Longitudinal Study of Youth 79 Children and Young Adults data. Intelligence 36 (2008) 455-463
3. Bernstein I.H., and Teng G. Factoring items and factoring scales are different: Evidence for multidimensionality due to item categorization. Psychological Bulletin 105 (1989) 465-477
4. Blair C., Gamsonb D., Thornec S., and Bakerd D. Rising mean IQ: Cognitive demand of mathematics education for young children, population exposure to formal schooling, and the neurobiology of the prefrontal cortex. Intelligence 33 (2005) 93-106
5. Bontempo D.E., and Hofer S.M. Assessing factorial invariance in cross-sectional and longitudinal studies. In: Ong A.D., and van Dulmen M. (Eds). Handbook of methods in positive psychology (2007), Oxford University Press, New York 153-175
6. Borsboom D. Measuring the mind: Conceptual issues in contemporary psychometrics (2005), Cambridge University, Cambridge
7. Brand C.R. The g factor: General intelligence and its implications (1996), Wiley, Chichester
8. Byrne B.M., Shavelson R.J., and Muthén B. Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. Psychological Bulletin 105 (1989) 456-466
9. Carroll J.B. The higher-stratum structure of cognitive abilities: Current evidence supports g and about ten broad factors. In: Nyborg H. (Ed). The scientific study of general intelligence: Tribute to Arthur R. Jensen (2003), Pergamon, New York 5-21
10. Chan D. The conceptualization and analysis of change over time: An integrative approach incorporating longitudinal mean and covariance structures analysis (LMACS) and multiple indicator latent growth modeling (MLGM). Organizational Research Methods 1 (1998) 421-483
11. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. (1988), Erlbaum, Mahwah, NJ
12. Crocker L., and Algina J. Introduction to classical and modern test theory (1986), Wadsworth, Belmont, CA
13. Daley T.C., Whaley S.E., Sigman M.D., Espinosa M.P., and Neumann C. IQ on the rise: The Flynn Effect in rural Kenyan children. Psychological Science 14 (2003) 215-219
14. Davis, J. A., Smith, T. W., & Marsden, P. V. (2007a). General social surveys, 1972-2008. [machinereadable data file] Chicago: National Opinion Research Center [producer]. Storrs, CT: The Roper Center for Public Opinion Research, University of Connecticut [distributor].
15. Davis J.A., Smith T.W., and Marsden P.V. General social surveys, 1972-2006: Cumulative codebook (2007), National Opinion Research Center (National Data Program for the Social Sciences Series, no. 18), Chicago
16. du Toit M. IRT from SSI (2003), Scientific Software International, Lincolnwood, IL
17. Embretson S.E., and Reise S.P. Item response theory for psychologists (2000), Erlbaum, Mahwah, NJ
18. Flieller A. Application du modele de Rasch a un probleme de comparaison de generations [applications of the Rasch model to a problem of intergenerational comparison]. Bulletin de Psychologie 42 (1988) 86-91
19. Flora D.B., and Curran P.J. An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods 9 (2004) 466-491
20. Flynn J.R. The mean IQ of Americans: Massive gains 1932-1978. Psychological Bulletin 95 (1984) 29-51
21. Flynn J.R. Massive IQ gains in 14 nations: What IQ tests really measure. Psychological Bulletin 101 (1987) 171-191
22. Flynn J.R. What is intelligence?: Beyond the Flynn Effect (2007), Cambridge University, New York
23. Flynn J.R. The WAIS-III and WAIS-IV: Daubert motions favor the certainly false over the approximately true. Applied Neuropsychology 16 (2009) 98-104
24. Glöckner-Rist A., and Hoijtink H. The best of both worlds: Factor analysis of dichotomous data using item response theory and structural equation modeling. Structural Equation Modeling 10 (2003) 544-565
25. Herrnstein R.J., and Murray C. Bell curve: Intelligence and class structure in American life (1996), Free Press, New York
26. In: Holland P., and Wainer H. (Eds). Differential item functioning (1993), Lawrence Erlbaum, Hillsdale, NJ
27. Jensen A.R. The g factor: The science of mental ability (1998), Praeger, Westport, CN
28. Jensen A.R. Vocabulary and general intelligence. Behavioral and Brain Science 24 (2001) 1109-1110
29. Kamata A., and Bauer D.J. A note on the relation between factor analytic and item response theory models. Structural Equation Modeling 15 (2008) 136-153
30. Kanaya T., Scullin M.H., and Ceci S.J. The Flynn Effect and US Policies: The impact of rising IQ scores on American society via mental retardation diagnoses. American Psychologist 58 (2003) 778-790
31. Lord F.M. Applications of item response theory to practical testing problems (1980), Lawrence Erlbaum, Hillsdale, NJ
32. Lynn R. What has caused the Flynn Effect? Secular increases in the Development Quotients of infants. Intelligence 37 (2009) 16-24
33. Malhotra N., Krosnick J.A., and Haertel E. The psychometric properties of the GSS wordsum vocabulary test (methodological report no. 111) (2007), National Opinion Research Center, Chicago
34. McDonald R.P. Factor analysis and related methods (1985), Erlbaum, Hillside, NJ
35. Meredith W. Measurement invariance, factor analysis and factorial invariance. Psychometrika 58 (1993) 525-543
36. Mingroni M.A. The secular rise in IQ: Giving heterosis a closer look. Intelligence 32 (2004) 65-83
37. Mokken R.J. A theory and procedure of scale analysis (1971), De Gruyter, Berlin
38. Muthén, L. K., & Muthén, B. O. (1998-2007). Mplus user's guide. Los Angeles, CA: Author.
39. Rizopoulos D. Ltm: An R package for latent variable modeling and item response theory analyses. Journal of Statistical Software 17 (2006) 1-25
40. Sanborn K.J., Truscott S.D., Phelps L., and McDougal J.L. Does the Flynn Effect differ by IQ level in samples of students classified as learning disabled?. Journal of Psycheducational Assessment 21 (2003) 145-159
41. Sattler J.M. Assessment of children: Cognitive foundations. 5th ed. (2008), Author, La Mesa, CA
42. Sijtsma K., and Molenaar I.W. Introduction to nonparametric item response theory (2002), Sage, Thousand Oaks, CA
43. Sundet J.M., Barlaug D.G., and Torjussen T.M. The end of the Flynn Effect? A study of secular trends in mean intelligence test scores of Norwegian conscripts during half a century. Intelligence 32 (2004) 349-362
44. Thorndike R.L. Two screening tests of verbal intelligence. Journal of Applied Psychology 26 (1942) 128-135
45. Wicherts J.M., Dolan C.V., Hessen D.J., Oosterveld P., Baal G.C.M., van Boomsma D.I., et al. Are intelligence tests measurement invariant over time?: Investigating the nature of the Flynn Effect. Intelligence 32 (2004) 509-537
46. Zimowski M.F. Multiple-group analyses. In: du Toit M. (Ed). IRT from SSI (2003), Lincoln, Lincolnwood, IL 531-537