Stats II 1

6 flashcards · Other · by Daniel F.

1. Types of data

   Nonmetric or qualitative data: presence of a feature Metric or quantitative: quantifying an attribute

2. Measurement scales

   nominal: 0 or 1 ordinal: rankable interval: no zero ratio: zero is a reference

3. Types of missing data

   Missing Completely At Random does not depend on variables Missing At Random does depend on variables

4. handle missing data

   ignore delete pair sample size doesn't change inconsistent sample size listwise complete dataset biased data due to MCAR impute mean hot deck replace with similar respondent cold deck select donor from another dataset Rules < 10%: Ignore or use any imputation method 10-20 %: Hot deck imputation (assuming MCAR) >10%: Delete

5. Choose an adequate technique for the analysis

   Is the sample size large enough? Are the assumptions required by the chosen analysis technique satisfied by the data? Do we have all the necessary data to apply correctly the chosen analysis technique?

6. types of samples

   independent samples no correspondence in data dependent samples correspondence in data always same number of observations