SOCI 313 Lecture Notes - Lecture 16: Data Analysis, Univariate, Standard Deviation
23 Nov 2015
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Data analysis decisions cannot wait until after data has been collected. Be aware of analysis techniques before collection begins. Research should be designed with data collection in mind. Awareness of size/nature of sample and limitations on analysis. Ratio variables have a "0" start position (temperature) Interval variables have "0" as an arbitrary point. Creation of frequency tables to express number of times a particular variable occurs in a population, expressed as an actual number as well as a percentage. If interval/ratio variables are shown, some categories may be combined as long as they don"t overlap. Median: middle score when all scores have been arranged lowest->highest. Can be used with ordinal or interval/ratio data. Mean: sum of all scores, divided by number of scores. Standard deviation: measures the amount of variation around the mean. Determines existence of a relationship between two variables. Can be used for any variable, but usually for nominal/ordinal data. Calculate percentages within categories, and compare across (horizontally)
