


Paperback
Published: 1st May 1999
ISBN: 9780761908869
Number Of Pages: 392
This book provides encouragement and strategies for researchers who routinely address research questions using data from small samples. Chapters cover such topics as: using multiple imputation software with small sets; computing and combining effect sizes; bootstrap hypothesis testing; application of latent variable modeling; time-series data from small numbers of individuals; and sample size, reliability and tests of statistical mediation.
On the Performance of Multiple Imputation for Multivariate Data with Small Sample Size | |
Maximizing Power in Randomized Designs When N is Small | |
Effect Sizes and Significance Levels in Small-Sample Research | |
Statistical Analysis Using Bootstrapping | |
Concepts and Implementation | |
Meta-Analysis of Single-Case Designs | |
Exact Permutational Inference for Categorical and Nonparametric Data | |
Tests of an Identity Correlation Structure | |
Sample Size, Reliability and Tests of Statistical Mediation | |
Pooling Lagged Covariance Structures Based on Short, Multivariate Time Series for Dynamic Factor Analysis | |
Confirmatory Factor Analysis | |
Strategies for Small Sample Sizes | |
Small Samples in Structural Equation State Space Modeling | |
Structural Equation Modeling Analysis with Small Samples Using Partial Least Squares | |
Table of Contents provided by Ingram. All Rights Reserved. |
ISBN: 9780761908869
ISBN-10: 0761908862
Audience:
Professional
Format:
Paperback
Language:
English
Number Of Pages: 392
Published: 1st May 1999
Country of Publication: US
Dimensions (cm): 22.89 x 15.24
x 2.64
Weight (kg): 0.47