Nursing 2250A/B Lecture Notes - Lecture 10: Timbits, Confidence Interval, Null Hypothesis
Document Summary
Conditions required to make a causal statement: x causes y: x precedes y, x and y are correlated, everything else controlled or eliminated. No extraneous variables impacting outcome: we never prove something; we gather evidence that supports our claim. Research validity: design, internal, external, instrument, reliability, validity, statistical, type i error (alpha): false positive, type ii error (beta): false negative. Effect size: effect size can be thought of as how big a difference the intervention made; Or: the degree to which the phenomenon is present in the population or to which the null hypothesis is false, it is hard to detect an effect from an intervention if the sample is small. Inferential statistic analysis: measures of association: i. e. , regression, correlation, t-test, f-test, Multivariate testing etc. : assist in generalizing findings from a sample to a larger population, areas between , there is a statistical difference. Results: results/findings, are provided in text and through the use of tables and figures.