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Dimensionality of the Raven's Advanced Progressive Matrices: Sex differences and visuospatial ability
16 references·2 citing·44 second hop
Dimensionality of the Raven's Advanced Progressive Matrices: Sex differences and visuospatial ability (2015)Dimensionality of the Raven's Advanced Pr…Advanced Progressive Matrices (2010)Advanced Progressive MatricesCHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research (2008)CHC theory and the human cogn…What do Raven's Matrices measure? An analysis in terms of sex differences (2005)What do Raven's Matrices meas…Sex differences on the progressive matrices: A meta-analysis (2004)Sex differences on the progre…Sex differential item functioning in the Raven's Advanced Progressive Matrices: evidence for bias (2003)Sex differential item functio…Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Cutoff criteria for fit index…College-Sample Psychometric and Normative Data on a Short Form of the Raven Advanced Progressive Matrices Test (1999)College-Sample Psychometric a…Raven's Advanced Progressive Matrices: Norms for First-Year University Students and the Development of a Short Form (1998)Raven's Advanced Progressive …Principles and Practice of Structural Equation Modeling (1998)Principles and Practice of St…Verbal overshadowing effects on Raven's advanced progressive matrices: Evidence for multidimensional performance determinants (1995)Verbal overshadowing effects …Testing Structural Equation Models. (1994)Testing Structural Equation M…Gender-related differences in intelligence: Application of confirmatory factor analysis (1994)Gender-related differences in…Alternative Ways of Assessing Model Fit (1992)Alternative Ways of Assessing…What one intelligence test measures: A theoretical account of the processing in the Raven Progressive Matrices Test. (1990)What one intelligence test me…Methodology Review: Assessing Unidimensionality of Tests and ltenls (1985)Methodology Review: Assessing…Raven's Progressive Matrices: A Review and Critical Evaluation (1958)Raven's Progressive Matrices:…An Examination of the Convergent Validity of the ICAR16 and WAIS-IV (2020)An Examination of the Converg…The future of the ageing workforce in engineering: relics or resources? 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References

  • 1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives108,592 cited
  • 1998Principles and Practice of Structural Equation Modeling36,041 cited
  • 1992Alternative Ways of Assessing Model Fit27,192 cited
  • 1994Testing Structural Equation Models.14,120 cited
  • 1990What one intelligence test measures: A theoretical account of the processing in the Raven Progressive Matrices Test.1,648 cited
  • 2008CHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research1,354 cited
  • 1985Methodology Review: Assessing Unidimensionality of Tests and ltenls1,014 cited
  • 2004Sex differences on the progressive matrices: A meta-analysis300 cited
  • 1998Raven's Advanced Progressive Matrices: Norms for First-Year University Students and the Development of a Short Form295 cited
  • 2010Advanced Progressive Matrices158 cited
  • 1958Raven's Progressive Matrices: A Review and Critical Evaluation139 cited
  • 1995Verbal overshadowing effects on Raven's advanced progressive matrices: Evidence for multidimensional performance determinants129 cited
  • 2005What do Raven's Matrices measure? An analysis in terms of sex differences121 cited
  • 1999College-Sample Psychometric and Normative Data on a Short Form of the Raven Advanced Progressive Matrices Test

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90 cited
  • 2003Sex differential item functioning in the Raven's Advanced Progressive Matrices: evidence for bias72 cited
  • 1994Gender-related differences in intelligence: Application of confirmatory factor analysis64 cited
  • Cited by

    • 2020An Examination of the Convergent Validity of the ICAR16 and WAIS-IV38 cited
    • 2019The future of the ageing workforce in engineering: relics or resources?8 cited