Chapter 19 Puzzle

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Across
  1. 3. Analyses that test research hypotheses using different assumption or different strategies.
  2. 7. A value grater than 3 times the interquartile range above the third or below first quartiles.
  3. 10. Listing of each variable together with information about placement in the file, codes associated with the values of the variable, and other basic information.
Down
  1. 1. Process of transforming data into symbols or numbers.
  2. 2. Approach in which cases are deleted selectively, on a variable-by-variable basis.
  3. 4. Filling in missing data with values believed to be good estimates of what the values would have been if they weren’t missing.
  4. 5. Analysis of those cases for which there are no missing data. Based on assumption of MCAR.
  5. 6. Differences in participant characteristics over time
  6. 8. Most desirable type of missing value pattern. Occurs when cases with missing values are just a random subsample of all cases (Acronym).
  7. 9. Combining data across different sites.