Commentary: Spearman's 'The proof and measurement of association between two things'

International Journal of Epidemiology

Volumn 39, Issue 5, 2010, Pages 1159-1161

  de Klerk, Nick ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION COEFFICIENT; DATA ANALYSIS; FACTORIAL ANALYSIS; MEASUREMENT; MEDICAL LITERATURE; NOTE; PRIORITY JOURNAL; PUBLICATION;

BIAS (EPIDEMIOLOGY); EPIDEMIOLOGY; FACTOR ANALYSIS, STATISTICAL; HISTORY, 20TH CENTURY; HUMANS; PSYCHOLOGY, EXPERIMENTAL; PSYCHOMETRICS; RESEARCH;

EID: 78149253032     PISSN: 03005771     EISSN: 14643685     Source Type: Journal    
DOI: 10.1093/ije/dyq200     Document Type: Note

References (22)

1. Spearman C. The proof and measurement of association between two things. Am J Psychol 1904;15:72-101. Reprinted Int J Epidemiol 2010;39:1137-50.
2. Spearman C. 'General Intelligence,' objectively determined and measured. Am J Psychol 1904;15:201-92.
3. Kraemer HC. Extension of the Kappa coefficient. Biometrics 1980;36:207-16.
4. Miller J, Ulrich R. On the analysis of psychometric functions: the Spearman-Karber method. Percept Psychophys 2001;63:1399-420.
5. Bross I. Estimates of the LD50: a critique. Biometrics 1950; 6:413-23.
6. Lovie P, Lovie AD. Charles Edward Spearman, F.R.S. (1863-1945). Notes Rec R Soc 1996;50:75-88.
7. Perks J. Spearman and the importance of archives. Psychologist 2006;19:722-25.
8. Pearson K. Mathematical contributions to the theory of evolution. III. Regression, heredity, and panmixia. Philos T R Soc Lond 1896;187:253-318.
9. Pearson K. On an extension of the method of correlation by grades or ranks. Biometrika 1914;10:416-18.
10. Hotelling H, Pabst MR. Rank correlation and tests of significance involving no assumption of normality. Ann Math Stat 1936;7:29-43.
11. Siegel S. Nonparametric Statistics for the Behavioral Sciences. Tokyo: McGraw-Hill Kogakusha, 1956.
12. Fleiss JL, Shrout PE. The effects of measurement errors on some multivariate procedures. Am J Public Health 1977; 67:1188-91.
13. Greenland S. The effect of misclassification in the presence of covariates. Am J Epidemiol 1980;112: 564-69.
14. Marshall JR, Hastrup JL. Mismeasurement and the resonance of strong confounders: Uncorrelated errors. Am J Epidemiol 1996;143:1069-78.
15. Marshall JR, Hastrup JL, Ross JS. Mismeasurement and the resonance of strong confounders: correlated errors. Am J Epidemiol 1999;150:88-96.
16. Davey Smith G, Phillips AN. Inflation in epidemiology: 'The proof and measurement of association between two things' revisited. Br Med J 1996;312: 1659-61.
17. Hutcheon JA, Chiolero A, Hanley JA. Random measurement error and regression dilution bias. Br Med J 2010; 340:c2289.
18. Armstrong BG. Effect of measurement error on epidemiological studies of environmental and occupational exposures. Occup Environ Med 1998;55: 651-56.
19. Fisher RA. Statistical Methods for Research Workers. 10th edn. Edinburgh: Oliver and Boyd, 1948.
20. Pearson K. Correction of a misstatement by Mr Major Greenwood, Junior. Biometrika 1914;10:418-19.
21. Yule GU. On the theory of correlation. J R Stat Soc 1897; 60:812-54.
22. Anscombe FJ. Graphs in statistical analysis. Am Stat 1973; 27:17-21.