Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2025-01-04T03:34:04.608Z Has data issue: false hasContentIssue false

Testing Significance of differences between Two Chi-Squares

Published online by Cambridge University Press:  01 January 2025

Dennis L. Knepp
Affiliation:
The Johns Hopkins University
Doris R. Entwisle
Affiliation:
The Johns Hopkins University

Abstract

This paper presents a way to test the difference between two X2's. The test requires evaluating the difference with respect to the Tm(x) Bessel function. Included is a table of the 5 percent and 1 percent points for the Bessel function with degrees of freedom up to 100.

Type
Original Paper
Copyright
Copyright © 1969 The Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

*

This investigation was supported by National Science Foundation Grant Number GE 9846.

References

Attneave, F. Applications of information theory to psychology, 1959, New York: Holt.Google Scholar
Collinge, R. M. Gamma function algorithm 31. Communications of the Association for Computing Machinery, 1961, 4, 105105.CrossRefGoogle Scholar
Garner, W. R. Uncertainty and structure as psychological concepts, 1962, New York: Wiley.Google Scholar
Green, D. M. & Swets, J. A. Signal detection theory and psychophysics, 1966, New York: Wiley.Google Scholar
McGill, W. J. Multivariate information transmission. Psychometrika, 1954, 19, 97116.CrossRefGoogle Scholar
Pearson, K., Stouffer, S. A. & David, F. N. Further applications in statistics of the T m(x) Bessel function. Biometrika, 1932, 24, 293350.Google Scholar
Pearson, K., Jeffrey, G. B. & Elderton, E. M. On the distribution of the first product moment-coefficient, in samples drawn from an indefinitely large population. Biometrika, 1929, 21, 164193.CrossRefGoogle Scholar
United States Department of Commerce, National Bureau of Standards. Handbook of mathematical functions. Washington, D. C.: U. S. Government Printing Office. 1964, 379444.Google Scholar