ECLS-B Sample Design, Weights, Variance, and Missing Data

#### Table of Contents

- ECLS-B Sample Design, Weights, Variance, and Missing Data
- Module Objectives
- ECLS-B Sample Design: Clustering
- ECLS-B Sample Design: Clustering (Continued)
- ECLS-B Sample Design: Oversampling
- Purpose of Weights: Review
- Sampling Weights for the ECLS-B
- Sampling Weights for the ECLS-B (Continued)
- Sampling Weights for the ECLS-B (Continued)
- ECLS-B Nomenclature for Weight Varibles: Component
- ECLS-B Nomenclature for Weight Varibles: Study Rounds
- Examples of ECLS-B Weight Names
- Selection of Weight for Analysis
- Selection of Weight for Analysis (Continued)
- Selection of Weight for Analysis (Continued)
- Selection of Weight for Analysis (Continued)
- Weight Considerations When Using Child Assessment Data
- Weight Considerations When Analyzing AIAN Children
- A Look at Weights in the ECLS-B Data
- Weighted Data Sum to the Population Total
- Standard Error Calculation in ECLS-B: Replication Techniques
- Standard Error Calculation in ECLS-B: Taylor Series Linearization
- Missing Data Values Used in the ECLS-B Data
- Exceptions to Standard Usage for Missing Data Values
- Example of Recoding Missing Data
- Example of Recoding Missing Data (Continued)
- Example of Recoding Missing Data: Q#1
- Example of Recoding Missing Data: Q#2
- Example of Recoding Missing Data
- Module Summary
- Module Resources