Sociology 2205A/B Lecture Notes - Lecture 2: Frequency Distribution, Histogram, Straight Edge
16 Sep 2016
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Many schemes used to classify variables including: independent and variable, discrete and continuous variables, noir (no: qualitative) ir : quantitative. Different statistics require different math operations (ranking, addition, etc) So level of measurement of variable tells us which statistics are permissible and appropriate. Categories must be mutually exclusive so that classification is clear. Scores are different from each other, but cannot be treated as numbers: ex: gender. Scores can be ranked from high to low or from more to less. Survey items that measure opinions and attitudes are ordinal. If we can distinguish between scores of variables using terms such as more, less, higher, lower the variable is ordinal. Measures in units that have = intervals. Measured in units that have = intervals. Comparisons and counting of cases, greater than and less than. Summarize distribution of variable by reporting the number of times each score of variable occurred.
