Random Coefficient Models 8

8.1 Introduction

8.2 Example: One-Way Random Effects Treatment Structure in a Completely Randomized Design Structure

8.3 Example: Random Student Effects

8.4 Example: Repeated Measures Growth Study

8.4.1 Repeated Measures Analysis

8.4.2 Random Coefficient Analysis

8.4.3 Test of Lack of Fit

8.5 Summary

Data that have a nested or hierarchical structure are common in a wide variety of disciplines, and similar methods for analyzing such data are found in these disciplines under different guises. The analyses considered here fall under the headings of random coefficient models and empirical Bayes models in the statistics literature (Laird and Ware 1982, Strenio, Weisberg, and Bryk 1983, Rutter and ...

Get SAS for Mixed Models, Second Edition, 2nd Edition now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.