STATISTICAL POWER ANALYSIS WITH MISSING DATA

By JENNIFER MOORE

CHAPTER 1 INTRODUCTION CHAPTER 2 THE LISREL MODEL CHAPTER 3 MISSING DATA: AN OVERVIEW CHAPTER 4 ESTIMATING STATISTICAL POWER WITH COMPLETE DATA CHAPTER 5 EFFECTS OF SELECTION ON MEANS, VARIANCES, AND COVARIANCES CHAPTER 6 TESTING COVARIANCES AND MEAN DIFFERENCES WITH MISSING DATA CHAPTER 7 TESTING GROUP DIFFERENCES IN LONGITUDINAL CHANGE CHAPTER 8 EFFECTS OF FOLLOWING UP VIA DIFFERENT PATTERNS WHEN DATA ARE RANDOMLY OR SYSTEMATICALLY MISSING CHAPTER 9 USING MONTE CARLO SIMULATION APPROACHES TO STUDY STATISTICAL POWER WITH MISSING DATA CHAPTER 10 ADDITIONAL ISSUES WITH MISSING DATA IN STRUCTURAL EQUATION MODELS CHAPTER 11 SUMMARY AND CONCLUSIONS