HST250H1 Study Guide - Midterm Guide: Ethnomethodology, Causal Model, Predictive Validity
27 Oct 2017
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Inferential statistics: trying to find the cause and effect, cross tabulation, nominal, ordinal or interval. Identify relationships between two ro more variables by cross classifying cases: use when, we want a visual measure of whether differences between groups are large enough to indicate a relationship, means analysis. It is the null hypothesis that is tested: one-tailed. If the direction of the relationship is predicted: two tailed. If the direction of the relationship is not predicted. In non-experimental procedure when testing for intervening variables. Research bias: systematic distortion of research conclusion. Present in data irregardless of measures taken. Systematic error: a skew or bias in the data towards a particular direction. Independent variable: thought to cause something x. Dependent variable: the variable being explained y. Qualifier variable: something that further helps to describe the situation. Intervening variable: have a mediating or moderating effect, a chance in x causes a change in z which in turn causes a change in y.
