In this part, we will discuss three types of bivariate statistics: first, an independent samples t-test measures if two groups of a continuous variable are different from one another; second, an f-test or ANOVA measures if several groups of one continuous variable are different from one another; third, a chi-square test gauges whether there are differences in a frequency table (i.e., two-by-two table or two-by-three table). Wherever possible we use money spent partying per week as the dependent variable. For the independent variables, we employ an appropriate explanatory variable from our sample survey.
CITATION STYLE
Stockemer, D. (2019). Bivariate Statistics with Categorical Variables. In Quantitative Methods for the Social Sciences (pp. 101–132). Springer International Publishing. https://doi.org/10.1007/978-3-319-99118-4_7
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