Cited by 56

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Multi-group covariance and mean structure modeling of the relationship between the WAIS-III common factors and sex and educational attainment in Spain

Dolan, Conor V., Colom, Roberto, Abad, Francisco J., Wicherts, Jelte M., Hessen, David J., van de Sluis, Sophie·2006·Intelligence

Overview

Integrity signals

Registry

Crossref · 10.1016/j.intell.2005.09.003

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Research works printed but not linked: 40

  1. Aluja-Fabregat, 2000, Sex differences in general intelligence defined as g among young adolescents, Personality and Individual Differences, 28, 813, 10.1016/S0191-8869(99)00142-7 · DOI
  2. Ankney, 1992, Sex differences in brain size and mental abilities: A mismeasure of women, too?, Intelligence, 16, 329, 10.1016/0160-2896(92)90013-H · DOI
  3. Ankney, 1995, Sex differences in brain size and mental abilities: Comment on R. Lynn and D. Kimura, Personality and Individual Differences, 18, 423, 10.1016/0191-8869(94)00170-W · DOI
  4. Ashton, M. C., & Lee, K. (in press). Problems with the method of correlated vectors. Intelligence. · DOI · Paper page
  5. Byrne, 1989, Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance, Psychological Bulletin, 105, 456, 10.1037/0033-2909.105.3.456 · DOI
  6. Ceci, 1997, Schooling, intelligence and income, American Psychologist, 52, 1051, 10.1037/0003-066X.52.10.1051 · DOI
  7. Colom, 2002, Education, Wechsler's full scale IQ, and g, Intelligence, 30, 449, 10.1016/S0160-2896(02)00122-8 · DOI
  8. Colom, 2002, Null sex differences in general intelligence: Evidence from the WAIS-III, The Spanish Journal of Psychology, 5, 29, 10.1017/S1138741600005801 · DOI
  9. Colom, 2000, Negligible sex differences in general intelligence, Intelligence, 28, 57, 10.1016/S0160-2896(99)00035-5 · DOI
  10. Dolan, 2001, Investigating Black–White differences in psychometric IQ: Multi-group confirmatory factor analyses of the WISC-R and K-ABC and a critique of the method of corrected factors, vol. 6, 31
  11. Gustafsson, 1984, A unifying model for the structure of intellectual abilities, Intelligence, 8, 179, 10.1016/0160-2896(84)90008-4 · DOI
  12. Gustafsson, 1992, The relevance of factor analysis for the study of group differences, Multivariate Behavioral Research, 27, 239, 10.1207/s15327906mbr2702_7 · DOI
  13. Horn, 1997, On the mathematical relationship between factor or component coefficients and differences in means, Cahiers de Psychologie Cognitive, 16, 721
  14. Horn, 1992, A practical and theoretical guide to measurement invariance in aging research, Experimental Aging Research, 18, 117, 10.1080/03610739208253916 · DOI · Paper page
  15. Hyde, 1988, Gender differences in verbal ability: A meta-analysis, Psychological Bulletin, 104, 53, 10.1037/0033-2909.104.1.53 · DOI · Paper page
  16. Langford, 2001, Is the property of being positively correlated transitive?, The American Statistician, 55, 322, 10.1198/000313001753272286 · DOI
  17. Little, 1997, Mean and covariance structures (MACS) analysis of cross-cultural data: practical and theoretical issues, Multivariate Behavioral Research, 32, 53, 10.1207/s15327906mbr3201_3 · DOI
  18. Lubke, 2001, Investigating group differences using Spearman's hypothesis: An evaluation of Jensen's method, Multivariate Behavioral Research, 36, 299, 10.1207/S15327906299-324 · DOI
  19. Lynn, 1994, Sex differences in intelligence and brain size: A paradox resolved, Personality and Individual Differences, 17, 257, 10.1016/0191-8869(94)90030-2 · DOI
  20. Lynn, 1999, Sex differences in intelligence and brain size: A developmental theory, Intelligence, 27, 1, 10.1016/S0160-2896(99)00009-4 · DOI
  21. Lynn, 2001, Sex differences in general knowledge, Intelligence, 30, 27, 10.1016/S0160-2896(01)00064-2 · DOI
  22. Marsh, 1990, Public/Catholic differences in the high school and beyond data: A multi-group structural equation modeling approach to testing mean differences, Journal of Educational Statistics, 15, 199, 10.2307/1165032 · DOI
  23. Meredith, 1993, Measurement invariance, factor analysis and factorial invariance, Psychometrika, 58, 525, 10.1007/BF02294825 · DOI · Paper page
  24. Millsap, 1997, The investigation of Spearman's hypothesis and the failure to understand factor analysis, Cahiers de Psychologie Cognitive, 16, 750
  25. Millsap, 1991, Confirmatory measurement model comparisons using latent means, Multivariate Behavioral Research, 26, 479, 10.1207/s15327906mbr2603_6 · DOI
  26. Ployhart, 2004, Applications of Mean and Covariance Structure Analysis: Integrating correlational and experimental approaches, Organizational Research Methods, 7, 27, 10.1177/1094428103259554 · DOI
  27. Rindskopf, 1988, Some theory and applications of confirmatory second-order factor analysis, Multivariate Behavioral Research, 23, 51, 10.1207/s15327906mbr2301_3 · DOI
  28. Rock, 1978, The use of analysis of covariance structures for comparing the psychometric properties of multiple variables across populations, Multivariate Behavioral Research, 13, 403, 10.1207/s15327906mbr1304_3 · DOI
  29. Rushton, 1992, Cranial capacity related to sex, rank and race in a stratified sample of 6325 military personnel, Intelligence, 16, 401, 10.1016/0160-2896(92)90017-L · DOI
  30. Rushton, 1996, Brain size and cognitive ability: Correlations with age, sex, social class, and race, Psychonomic Bulletin and Review, 3, 21, 10.3758/BF03210739 · DOI
  31. Saklofske, 2000, Replication of the factor structure of the Wechsler Adult Intelligence Scale-Third edition with a Canadian sample, Psychological Assessment, 12, 436, 10.1037/1040-3590.12.4.436 · DOI
  32. Schafer, 2002, Missing data: Our view of the state of the art, Psychological Methods, 7, 147, 10.1037/1082-989X.7.2.147 · DOI · Paper page
  33. Schmid, 1957, The development of hierarchical factor solutions, Psychometrika, 22, 53, 10.1007/BF02289209 · DOI · Paper page
  34. Sörbom, 1974, A general method for studying differences in factor means and factor structure between groups, British Journal of Mathematical and Statistical Psychology, 27, 229, 10.1111/j.2044-8317.1974.tb00543.x · DOI
  35. Vandenberg, 2000, A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research, Organizational Research Methods, 3, 4, 10.1177/109442810031002 · DOI · Paper page
  36. van der Sluis, S., Posthuma, D., Dolan, C. V., de Geus, E. J. C., Colom, R., and Boomsma, D. I. (in press). Gender differences on the Dutch WAIS-III.
  37. Voyer, 1995, Magnitude of sex differences in spatial abilities: A meta analysis and consideration of critical variables, Psychological Bulletin, 117, 250, 10.1037/0033-2909.117.2.250 · DOI · Paper page
  38. Ward, 2000, Confirmatory factor analysis of the WAIS-III standardization data, Psychological Assessment, 12, 341, 10.1037/1040-3590.12.3.341 · DOI
  39. Wicherts, 2004, A cautionary note on the use of information fit indices in covariance structure modeling with means, Structural Equation Modeling, 11, 45, 10.1207/S15328007SEM1101_3 · DOI
  40. Wicherts, 2004, Are intelligence tests measurement invariant over time? Investigating the nature of the Flynn effect, Intelligence, 32, 509, 10.1016/j.intell.2004.07.002 · DOI · Paper page

Cited by

Sorted by citations

See all 56

Metadata

Authors
Dolan, C. V., Colom, R., Abad, F. J., Wicherts, J. M., Hessen, D. J., & van de Sluis, S.
Venue
Intelligence
Publisher
Elsevier BV
Published
2006-03
Volume
34
Issue
2
Pages
193-210
ISSN
0160-2896
Cited by
56
References
9
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review