Investigating Spearman's hypothesis by means of multi-group confirmatory factor analysis

被引:67
|
作者
Dolan, CV [1 ]
机构
[1] Univ Amsterdam, NL-1018 WB Amsterdam, Netherlands
关键词
D O I
10.1207/S15327906MBR3501_2
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Differences between blacks and whites on cognitive ability tests have been attributed to a fundamental difference between these groups in general intelligence (or g, as it is denoted). The hypothesized difference in g gives rise to Spearman's hypothesis, which states that the differences in the means of the tests are related to the tests' factor loadings on g. Jensen has investigated this hypothesis by correlating differences in means and tests' g loadings. The aim of the present article is to investigate B-W differences using multi-group confirmatory factor analysis. The advantages of multi-group confirmatory factor analysis over Jensen's test of Spearman's hypothesis are discussed. A published data set is analyzed. Strict factorial invariance is tested and judged to be tenable. Various models are tested, which do and do not incorporate g. It is observed that it is difficult to distinguish between several hypotheses, including and excluding g, concerning group differences. The inability to distinguish between competing models using multi-group confirmatory factor analysis makes it difficult to draw clear conclusions about the exact nature of black-white differences in cognitive abilities. The implications of the results for Jensen's test of Spearman's hypothesis are discussed.
引用
收藏
页码:21 / 50
页数:30
相关论文
共 50 条
  • [21] Multi-group and hierarchical confirmatory factor analysis of the Wechsler Intelligence Scale for Children Fifth Edition: What does it measure?
    Reynolds, Matthew R.
    Keith, Timothy Z.
    INTELLIGENCE, 2017, 62 : 31 - 47
  • [22] CONFIRMATORY ANALYSIS OF FACTOR STABILITY HYPOTHESIS
    BECHTOLDT, HP
    PSYCHOMETRIKA, 1974, 39 (03) : 319 - 326
  • [23] Particle Implementation of the Multi-group Multi-target Probability Hypothesis Density Filter for Multi-group Target Tracking
    Li, Yunxiang
    Xiao, Huaitie
    Wu, Hao
    Liu, Huan
    2015 8th International Congress on Image and Signal Processing (CISP), 2015, : 1474 - 1478
  • [24] A Multi-Group Confirmatory Factor Analyses of the Lupuspro Between Southern California and Filipino Samples of Patients with SLE
    Azizoddin, Desiree
    Olmstead, R.
    Cost, Chelsie
    Racaza, Geraldine Zamora
    Ayeroff, Julia
    Sumner, Lekeisha
    Weisman, Michael
    Nicassio, Perry M.
    Jolly, Meenakshi
    ARTHRITIS & RHEUMATOLOGY, 2016, 68
  • [25] Does Trust Mean the Same for Migrants and Natives? Testing Measurement Models of Political Trust with Multi-group Confirmatory Factor Analysis
    Stéfanie André
    Social Indicators Research, 2014, 115 : 963 - 982
  • [26] Does Trust Mean the Same for Migrants and Natives? Testing Measurement Models of Political Trust with Multi-group Confirmatory Factor Analysis
    Andre, Stefanie
    SOCIAL INDICATORS RESEARCH, 2014, 115 (03) : 963 - 982
  • [27] Student Perceptions in Measuring Teaching Behavior Across Six Countries: A Multi-Group Confirmatory Factor Analysis Approach to Measurement Invariance
    Andre, Stefanie
    Maulana, Ridwan
    Helms-Lorenz, Michelle
    Telli, Sibel
    Chun, Seyeoung
    Fernandez-Garcia, Carmen-Maria
    de Jager, Thelma
    Irnidayanti, Yulia
    Inda-Caro, Mercedes
    Lee, Okhwa
    Safrina, Rien
    Coetzee, Thys
    Jeon, Meae
    FRONTIERS IN PSYCHOLOGY, 2020, 11
  • [29] Passenger satisfaction: a multi-group analysis
    Antonucci, Laura
    Crocetta, Corrado
    d'Ovidio, Francesco D.
    Toma, Ernesto
    QUALITY & QUANTITY, 2014, 48 (01) : 337 - 345
  • [30] Spearman's hypothesis and Amerindians: A meta-analysis
    te Nijenhuis, Jan
    van den Hoek, Michael
    Armstrong, Elijah L.
    INTELLIGENCE, 2015, 50 : 87 - 92