IMED2003 Lecture Notes - Lecture 8: Dependent And Independent Variables, 4 The People, Real Change
25 Mar 2020
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Variable types: dependent variables: to measure the effect of the independent variables (a rating scale score) Independent variables: condition which is manipulated (giving a drug) Independent when the data for different participants do not depend on, or relate to, each other: e. g. if we try to predict the weight of humans and also collect height. Weight is related variable to height: e. g. taller people tend to be heavier. Categorical and continuous (or scale) variables: scale (continuous) variables. Compare samples or differences between groups: there are different types of hypothesis testing for different situations, for now, we will look at: A continuous outcome (e. g. age, hb, bsl) No massive outliers: mann-whitney u test. Does not assume normally distributed: wilcoxon signed-rank test. Does not assume normally distribution: chi-squared test (and fisher"s exact test) Used to assess the distribution of a categorical variable between 2 or more groups.
