Search Results for: Data Analysis Using Regression And Multilevel Hierarchical Models

This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.

A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.

New edition of a text in which Raudenbush (U. of Michigan) and Bryk (sociology, U. of Chicago) provide examples, explanations, and illustrations of the theory a

Hierarchical Linear Models launches a new Sage series, Advanced Quantitative Techniques in the Social Sciences. This introductory text explicates the theory and

Students in the sciences, economics, psychology, social sciences, and medicine take introductory statistics. Statistics is increasingly offered at the high scho