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chi square

AB
SMALL DIFFERENCE BETWEEN PERCENTSit is hard to attain significance with the chi square when this is small
MCNEMARversion of chi square appropriate for two-by-two repeated measures designs
OBSERVED FREQUENCIESit is easier to attain statistical significance when this differs greatly from theoretical frequencies
EXPECTED FREQUENCIESchi square should not be used when these are less than 5 per cell
DFdetermined by the rows and columns of the contingency table: (r - 1) * (c - 1)
LARGE Nchi square can more easily attain statistical significance with this
NON-PARAMETRIC TEST FOR SIGNIFICANCE (GOODNESS OF FIT)chi square is this type of test
NOMINALchi square reduces data to this level of measurement
YATESversion of chi square corrected for use with small samples in two by two contingency table
VALIDa measure which measures what it purports to measure
RELIABLEa measure which measures consistently
SENSITIVEa measure of a variable capable of detecting subjects who qualify
SPECIFICa measure of a variable capable of excluding subjects who do not qualify


Professor of Psychology
Crafton Hills College
Long Beach, CA

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