RESEARCH METHODS LECTURE - 2
- Created by: Holly Russell
- Created on: 04-10-19 10:42
Assessment 1 -
Use correlations multiple regression
Practical report
Quantitative
Provide research questions from previous research
Select variables from analysis
Justify a quantitative design to investigate your research questions
Screen data for assumptions for parametric test
Present descriptive stats (mean, SD)
Analyse and interpret data with approproate stats e.g. correlations/ multiple regression analysis
Still use parametric if not met (pearsons)
Report stats in order - mean, SD, data screening (histograms, shapiro wilks) correlations, multipe regression
nExplain in your assignment that the Pearson’s correlation and multiple regression (and ANOVA) are being done for the purposes of this research study and so will still be undertaken even though the assumptions for these parametric tests have not been met – such as there being a significantly skewed distribution (from the Shapiro Wilk test). You should also state that the results of these analyses must therefore be treated with caution. how measures may relate or predict Dont use age or gender or course studied as predictor Multiple Linear Regression Could enter more tahn one predictor variable into regression analysis Habing more than one may give a beter, accurate prediciton Predictor Variable (PV) 1 = % children attending clinic with low weight Predictor Variable (PV) 2 = Price of millet Criterion Variable (CV) = amount of nutrition related disease in wider population after 6 months Non - Directional hypothesis for correlations H1 = There will be a significant correlation between the percentage of children attending a clinic with low weight and the amount of nutrition related disease in the wider population 6 months later H2 = There will be a significant correlation between the price of millet & the amount of nutrition related disease in the wider population 6 months later Directional hypothesis for correlations H1= There will be a significant positivecorrelation between the percentage of children attending a clinic with low weight and the amount…
Comments
No comments have yet been made