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Choosing parametric test
Explanations > Social Research > Analysis > Choosing a parametric test Choosing the test | Discussion | See also
Choosing the testUse the table below to choose the test. See below for further details.
DiscussionParametric tests assume an underlying Normal (bell-shaped) distribution, which is often forced through means of samples (see the Central limit theorem). Test statisticThe test statistic in all tests is calculated as: systematic variation / random variation = (measured difference between sample means) / (mean difference expected by chance) = (variability between treatments) / (variability within treatments) PrinciplesThe common principles of measurement are:
Design typesSingle sample designs take data from a single sample to test a hypothesis about a single population. Independent-measures designs take separate samples from each population or treatment. Related-samples designs, including repeated-measures and matched-subjects designs. Repeated measures designs have only one sample, with each subject being measured in all treatment conditions. In matched-subject designs, each person in one sample is matched with a subject in each of the other samples. See also |
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