54 lines
1.8 KiB
JSON
54 lines
1.8 KiB
JSON
[
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{
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"name": "Kruskall Wallis Test",
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"variable1": {
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"name": "independent variable",
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"type": [nominal, ordinal]
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},
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"variable2": {
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"name": "dependent variable",
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"type": [ordinal, interval, ratio]
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},
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"info": ""
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},
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{
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"name": "Mann-Whitney U Test",
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"variable1": {
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"name": "independent variable",
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"type": [nominal, ordinal]
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},
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"variable2": {
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"name": "dependent variable",
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"type": [ordinal, interval, ratio]
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},
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"info": "The Mann-Whitney U test requires that the independent variable consists of just 2
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categorical groups (e.g. questions with yes/no answers). If your independent variable
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contains more groups then the Kruskall Wallis test should be used."
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},
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{
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"name": "Chi-Square Test",
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"variable1": {
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"name": "first variable",
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"type": [nominal, ordinal]
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},
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"variable2": {
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"name": "second variable",
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"type": [nominal, ordinal]
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},
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"info": "The Chi Square test requires that both variables be categorical (i.e. nominal or ordinal).
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Both variables should contain 2 or more distinct categorical groups (e.g.
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2 groups: yes/no answers, 3 groups: low/medium/high income) Furthermore, these groups must
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be independent (i.e. no subjects are in more than one group)."
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},
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{
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"name": "Chi-Square goodness of fit",
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"variable1": {
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"name": "first variable",
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"type": [nominal, ordinal]
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},
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"info": "The Chi Square goodness of fit takes one categorical variable. It is used to see if the
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different categories in that variable follow the same distribution that you would expect.",
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"nullHypothesis": "There is no significant difference between the observed and the expected value."
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}
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]
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