SOWK 2502 Study Guide - Midterm Guide: Dependent And Independent Variables, Null Hypothesis, Statistical Inference
11 Mar 2014
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Document Summary
Binary variable: a dichotomous variable whose values are 0 (reflecting absence of any quantity of the variable) and 1 (reflecting presence of the variable). Bivariate analysis: a statistical analysis of the relationship between two variables. Conceptualization: the first step in the measurement process, in which the researcher selects the variables to be measured; delineating the exact meaning of the independent and dependent variables. Constant: a characteristic that has the same value for all individuals in a research study. Continuous variable: variable that may theoretically assume any value between two points on the measurement scale; it can thus have an infinite number of possible values between those points. Correlated variables: variables whose values are associated in a systematic way with values in the others. Correlation analysis: statistical methods that allow us to discover, describe, and measure the strength and direction of associations between and among variables; include the various techniques of computing correlation coefficients and regression analyses.
