A Collation of Chi Square Formulae

作者: Howard P. Iker

DOI: 10.2466/PR0.1963.13.2.623

关键词: CalculusNotationContingency tableSimple (abstract algebra)Series (mathematics)PsychologyRelevance (information retrieval)StatisticsConstant (mathematics)Range (mathematics)Moment (mathematics)

摘要: Sfinz?nary.-A series of formulae for chi square are presented use with one- and two-classification cables. The formulae, written a constant statistical notation, represent an overview the literature in area designed to provide investigator short-cuts calculation square. Formulae discussed within framework tables which they best apply; worked example is provided each major formula. Over recent years, non-parametric techniques have grown both number. Certainly most widely used known such (~3. ~5s generally simple so long as number cells table or it applied small. When, however, these conditions not met, calculations may become tedious time consuming. Many ingenious been overcome this problem. Unfortunately, user whom faces certain problems attempting them. He finds that scattered books journals always easily available at moment needed; addition, he will seldom find evaluation various methods ro rheir applicability si~acions and, finally, moves from one author another invariably encounter abrupt changes statisrical notation obscure basic relevance utility presented. Thus, too unusual researcher position depending upon few sources knows well comfortable despite fact typically be deficient their coverage techniques. In doing, loses access wide range material can aid him his day research activity. It purpose paper, then, present reference source users: collection x2 organized about apply, merits limitations, wrirten standardized notation. This paper does cover X%n contingency more than two cross-classifications since method often depend hypothesis rested; discussion topic covered by Bartlett (1935), Irwin (1949), Lancaster ( 1951 ), Mayo (1959), Mood (1950), 'Supported, part, grant Forcl Foundation NlMH Grant 2M-7521-C1.

参考文章(11)
Herbert D. Kimmel, The relationship between chi-square and size of sample The general case Journal of Applied Psychology. ,vol. 40, pp. 415- 416 ,(1956) , 10.1037/H0040488
Samuel T. Mayo, Toward strengthening the contingency table as a statistical method. Psychological Bulletin. ,vol. 56, pp. 461- 470 ,(1959) , 10.1037/H0049017
H. W. Norton, Calculation of Chi-Square for Complex Contingency Tables Journal of the American Statistical Association. ,vol. 40, pp. 251- 258 ,(1945) , 10.1080/01621459.1945.10501855
J. P. Sutcliffe, A general method of analysis of frequency data for multiple classification designs. Psychological Bulletin. ,vol. 54, pp. 134- 137 ,(1957) , 10.1037/H0046086
Herbert D. Kimmel, The relationship between chi square and size of sample in two-celled tables. Journal of Applied Psychology. ,vol. 40, pp. 61- 62 ,(1956) , 10.1037/H0043787
Don Lewis, C. J. Burke, The use and misuse of the chi-square test. Psychological Bulletin. ,vol. 46, pp. 433- 489 ,(1949) , 10.1037/H0059088
John B. Carroll, C. C. Bennett, Machine short-cuts in the computation of chisquare and the contingency coefficient Psychometrika. ,vol. 15, pp. 441- 447 ,(1950) , 10.1007/BF02288873
Henry Edward Garrett, Statistics in psychology and education ,(1926)
J. O. IRWIN, A note on the subdivision of chi2 into components. Biometrika. ,vol. 36, pp. 130- 134 ,(1949) , 10.1093/BIOMET/36.1-2.130