IHS 4504 Lecture Notes - Lecture 5: Effect Size, Statistical Hypothesis Testing, Analysis Of Variance
19 Jul 2020
School
Department
Course
Professor
Document Summary
Understanding results: you don"t need to be a statistician to understand the results section, begin with the central aim and purpose statement, typically outlined by author at end of introduction, listed research questions and hypotheses. If you fail to review the results and the reported statistics of a study then you are essentially putting all your faith in the author"s interpretation: don"t just take their word for it!! They govern how all authors in a specific discipline should report their data so that we can all understand it: once you"ve gotten your feet wet with a few each article gets a bit easier. Sample size: effect size, pre-selected level of significance (0. 05, type of statistical test being performed. Basic descriptive statistics: measures of central tendency, mean, standard deviation (sd, variability, variance, range, skewness, confidence intervals, wider= weaker, narrower= stronger. Descriptives: skewness & iqr: non-normally distributed data, median, mode, range, skewness.
