5. Counting Helps to enable you to see what's there by counting frequency of occurrence of recurrent events.
6. Making contrasts and comparisons Establishing similarities and difference between and within data sets.
7. Partitioning variables Splitting variables may help in finding more coherent descriptions and explanations.
8. Subsuming particulars into the general Linking specific data to general concepts and categories.
9. Factoring Attempting to discover the factors underlying the process under investigation
10. Noting relations between variables Using matrix display and other methods to study interrelationships between different parts of the data.
11. Finding intervening variables Trying to establish the presence and effects of variables intervening between observed variables.
12. Building a logical chain of evidence Trying to understand trends and patterns through developing logical relationships.
13. Making conceptual/theoretical coherence Moving from data to constructs to theories through analysis and categorization.