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6 Cards in this Set

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Nominal

Data has no numerical meaning, and arranges variables by group. Examples = ethnicity and gender

Binary

Data that divides variables into only two groups. Example = yes/no, depressed/not depressed/ married/not married

Ordinal

Most ambigiuous, has a rank order but isn't exact, it may have 3-4 levels such as small, smaller, and smallest.

Categorical

General term, refer to any way of arranging a variable into categories.

Scaled

Usually ratio data, has a zero, has fixed increments, often uses a scale with several items that add up to total scores, which will range from 0 to 10. Examples = check list measures, attitude measures.

T tests

The predictor is a binary grouping variable such as yes/no


The outcome variable is a scaled variable (such as symptoms measured on a scale)