CHYS 3P15 Lecture Notes - Lecture 9: Contingency Table, Karl Pearson, Level Of Measurement
14 Mar 2014
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Introduction: social scientists are interested in uncovering the associations or relationships between several variables, to simultaneously analyze two variables that cannot be ranked or ordered, you need to use bivariate analysis for nominal variables. What you need to begin answering these questions: a representative sample, a knowledge of the level of measurement of each variable, a knowledge of bivariate statistics and measures of association. Analysis with two nominal variables: the first step for performing bivariate analysis is organizing the data so that patterns can be easily discerned. *note that these will not always be clear* Bivariate statistics: visualizing a relationship: need to make data intelligible to identify the existence of relationships, often convenient to use a cross-tabulation or contingency table, put independent variable (iv) in columns, dependent variable (dv) in rows (if known) It is always useful to able to see relationships in bivariate tables.
