Running head: RESEARCH DESIGN FOR ONE-WAY ANOVA
Research Design for One-Way Anova
RESEARCH DESIGN FOR ONE-WAY ANOVA
Analysis of variance provides an understanding of the means of variables that are being
investigated. One way ANOVA incorporate both dependent and an independent variable where
the independent variable that is included in the study is usually a categorical variable which
contains two or more unrelated groups while the dependent variable is usually a continuous
variable that is measured on ratio or interval scale. There are important assumptions that need to
be considered to successfully ensure that the selected statistical test can be applied. Therefore,
there is number of assumptions that are critical in ensuring that one-way ANOVA is successfully
applied. Therefore the key assumptions include the dependent variable should be measured at the
interval or ration level, the observations made should be independent of each other, the
dependent variable that is being considered should normally be distributed and the need for
homogeneity of variances.
This research will incorporate afrobarometer dataset where the focus of the research will...