chi-square test

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chi-square test:

see statisticsstatistics,
science of collecting and classifying a group of facts according to their relative number and determining certain values that represent characteristics of the group.
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chi-square test

[′kī ¦skwer ′test]
(statistics)
A generalization, and an extension, of a test for significant differences between a binomial population and a multinomial population, wherein each observation may fall into one of several classes and furnishes a comparison among several samples instead of just two.
References in periodicals archive ?
A chi square test revealed a significant difference between responses and treatment conditions, [chi square] (1, N = 19) = 5.
A regression analysis of the groups pointed tot eh same differences noted from the Chi square test and both were confirmed by the t-test and f-test statistics.
First, to determine the overall effectiveness of the SPS in identifying high risk patients, a one-group chi square test was employed comparing base line suicidal frequency data with observed numbers of suicidal incidents.
Although one might expect those planners selling long-term care insurance to be better informed or to have stronger feelings concerning the seriousness of the catastrophic illness problem than those not selling long-term care insurance, a chi square test failed to show a statistically significant
Three statistical analyses aided analyzing the results: Chi Square Test of Independence, Correlation and ANOVA (Analysis of Variation).
Chi Square Test of Significance, Part II: Experimental Design Chapter 15.
The authors cover measures of central tendency, correlation, regression, chi square test of significance, analysis of variance, group comparisons, and split block design.
A chi square test was used in analyzing the data to determine if there were significant differences between levels of assertiveness and participants' age, birth order, ethnicity, academic classification and prior history of counseling.
As the socio-demographic characteristics of non-respondent caregivers were unknown, characteristics of patients with respondent caregivers and patients with non-respondent caregivers were obtained from the patient's medical record and were analyzed for statistical significance using a Chi Square Test of Independence (Table 2).