Statistical Applications 2: Categorical Data Analysis and Multiple Imputation of Missing Data
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Session 1
Using STATA for Categorical Data Analysis
(Substantive interpretations for non-linear models)
Spostinstall Spostinstall
Relogit Relogit
Session 1(續)  
Session 2
Multiple Imputations of Missing Data: Theory and Methods
Amelia Amelia
附註: PDA檔 ZIP檔  EXE檔 

Reference Papers:

  1. Wong, Raymond Sin-Kwok. 1996. “The Social Composition of Communist Parties of Czechoslovakia and Hungary in the 1980s.” Social Forces 75: 61-90.
  2. Long, J. Scott and Jeremy Freese. 2000. “Listing and Interpreting Transformed Coefficients from Certain Regression Models.” Stata Technical Bulletin 57: 27-34.
  3. Freese, Jeremy and J. Scott Long. 2000.”Tests for the Multinomial Logit Models.” Stata Technical Bulletin 58: 19-25.
  4. King, Gary, James Honaker, Anne Joseph, and Kenneth Scheve. 2001. “Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation.” American Political Science Review 95: 49-69.
  5. Schafer, Joseph L and J. W. Graham. 2002. “Missing Data: Our View of the Stata of the Art.” Psychological Methods 7: 147-177.