Hypothesis and options are used in the description of beliefs.
Causal comparative research ckv - SlideShare
No manipulation Individual variable is manipulated
Weaker evidence for causation Stronger evidence for causation
Groups already formed Can assign subjects to groups
Researchers observe what HAS happened Researcher can design experiment Associations Between Categorical Variables Categorical variables make it possible to investigate the association between variables using cross break tables and contingency coefficients.
Causal comparative research - SlideShare
The quantitative research design that we select subsequently determines whether we look for relationships, associations, trends or interactions. To learn how to structure (i.e., write out) each of these three types of quantitative research question (i.e., descriptive, comparative, relationship-based research questions), see the article: .
An ex post facto, causal-comparative design was employed
2 or more groups Score for each variable for each subject
1 categorical variable (group member) 2 or more quantitative variables
Analyze data by comparing averages Analyze data using scatterplots and/or
or using crossbreak tables correlation Similarities
At least 1 categorical variable
Compare group performances (average scores) to determine relationships
Typically compare separate groups of subjects
What is causal-comparative research
Thus B and D (local organization and weak state institutions) turn out to be necessary conditions for the occurrence of revolution (in this hypothetical world)-a circumstance that can be verified by inspection of the causal diagram directly.