NIDA Research Monograph, Number 142 [Printed in 1994]
This monograph is not available by chapter. The Table of Contents (below) is shown to assist in locating information prior to downloading the monograph.
Download Monograph142.pdf - Advances in Data Analysis for Prevention Intervention Research (2.7 MB)
Table of Contents
New Statistical Methods for Substance Use Prevention Research-----1
Linda M. Collins and Larry A. Seitz
Analysis With Missing Data in Drug Prevention Research-----13
John W. Graham, Scott M. Hofer, and Andrea M. Piccinin
Latent Class Analysis of Substance Abuse Patterns-----64
John S. Uebersax
Latent Transition Analysis and How It Can Address Prevention Research Questions-----81
Linda M. Collins, John W. Graham, Susannah Scarborough Rousculp, Penny L. Fidler, Jia Pan, and William B. Hansen
Incorporating Trend Data To Aid in the Causal Interpretation of Individual-Level Correlations Among Variables: Examples Focusing on the Recent Decline in Marijuana Use-----112
Jerald G. Bachman
Multilevel Models for Hierarchically Nested Data: Potential Applications in Substance Abuse Prevention Research-----140
Ita G. G. Kreft
Seven Ways To Increase Power Without Increasing N-----184
William B. Hansen and Linda M. Collins
Designing and Analyzing Studies of Onset, Cessation, and Relapse: Using Survival Analysis in Drug Abuse Prevention Research-----196
Judith D. Singer and John B. Willett
Time Series Models of Individual Substance Abusers-----264
Wayne F. Velicer
Use and Misuse of Repeated Measures Designs-----302
Robert S. Barcikowski and Randall R. Robey
Meta-Analytical Issues for Prevention Intervention Research-----342
Nan Tobler
Dynamic Systems-Modeling as a Means To Estimate Community-Based Prevention Effects-----404
Barry M. Kibel and Harold D. Holder
|
