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... > contexts > population characteristics > health > public health > epidemiology > statistics and research methods > chi-square test
... > social science subjects > education > educational systems > curriculum > curriculum studies > inquiry and research > quantitative research > quantitative data analysis > chi-square test
... > social science subjects > social research > research methods and evaluation > quantitative research > quantitative data analysis > chi-square test
... > social science subjects > education > educational systems > curriculum > curriculum studies > inquiry and research > quantitative research > quantitative data analysis > inferential statistics > chi-square test
... > social science subjects > social research > research methods and evaluation > quantitative research > quantitative data analysis > inferential statistics > chi-square test
... > social science subjects > psychology > applied psychology > industrial and organizational psychology > foundations: measurement theory and statistics > inferential statistics > chi-square test

Preferred term

chi-square test  

Definition(s)

  • The chi-square test is a nonparametric test of the statistical significance of a relation between two nominal or ordinal variables. Because a chi-square analyzes grosser data than do parametric tests such as t tests and analyses of variance (ANOVAs), the chi-square test can report only whether groups in a sample are significantly different in some measured attribute or behavior; it does not allow one to generalize from the sample to the population from which it was drawn. [Source: Encyclopedia of Research Design; Chi-Square Test]

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URI

http://data.loterre.fr/ark:/67375/N9J-PT0CSW3B-L

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