作者: Souraya Sidani , Patrick E. McKnight , Aurelio José Figueredo , Katherine M. McKnight
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摘要: Part 1. A Gentle Introduction to Missing Data. The Concept of Prevalence Why Data Might Be Missing. Impact What's in the Literature? Cost-Benefit Approach - Not Just for Statisticians Anymore. 2. Consequences Three General on Construct Validity. Internal Causal Generalization. Summary. 3. Classifying "The Silence That Betokens". Current Classification System: Mechanisms Expanding System. 4. Preventing by Design. Overall Study Characteristics Target Population and Sample. Collection Measurement. Treatment Implementation. Entry Process. 5. Diagnostic Procedures. Traditional Diagnostics. Dummy Coding Numerical Graphical 6. Selection Analytic Preliminary Steps. Decision Making. 7. Deletion Methods Handling Sets. Complete Case Method. Available Item Individual Growth Curve Analysis. Multisample Analyses. 8. Augmentation Model-Based Markov Chain Monte Carlo. Adjustment Methods. 9. Single Imputation Constant Replacement Random Value Imputation. Nonrandom Imputation: Condition. Multiple Conditions. 10. MI 11. Reporting Results. APA Task Force Recommendations. Stages. TFSI Recommendations Format. 12. Epilogue.