Nursing 3340A/B Lecture 11: 3340 Week 11 Lecture Elaboration Model
6 Dec 2017
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One or two tails: paired t test, 2 tailed. Independent samples: both samples are randomly selected within the population of interest, paired samples. Individuals in one sample are matched with those in the other sample: e. g. testing the same people before and after a treatment, e. g. twin studies. Bivariate analysis will allow us to: comparison of two variables simultaneously, look at their associations (yes/no, assess the strength of their associations (weak, moderate, strong, bivariate crosstabs, yes/no, strength (weak, moderate, strong, direction of association (ordinal/interval, ratio) In this lecture, we are going to discuss association between variables in survey data rather than experimental data. Independent variable: dependent variable, cannot say that independent is the only thing causing the dependent, trying to figure out association between the other possible varibles. Religious service attendance reported by men and women in 1996. Sometimes researchers do construct their tables to percentage across.
