JUST 240 Lecture Notes - Lecture 3: Repeated Measures Design, Dependent And Independent Variables

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10 Feb 2018
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Units of analysis: source of the data, what you sample. A researcher took a sample of colleges to determine size of enrollment. Have at least two attributes (answers) which you measure. Mutually exclusive: no overlap in the attributes (only one answer applies) Exhaustive: no gap in the attributes (everyone in the study can answer) Have a level of measurement: nominal, ordinal (qualitative or quantitative), interval, or ratio. Hidden variable another variable you have not identified or considered being involved (c). Correlation between a and b, as a changes b changes. Can be in the same (+) or opposite (-) direction. No third hidden variable c. two types: preceding (c causes a & b) or intervening (a causes. Measure height: use a ruler (not a scale), repeated measures yields same result, produces actual height, in half inch increments (accepted standard for the situation) Nominal: mutually exclusive, exhaustive, attributes equal just different.

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