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Learn moreThis 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
