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Statistical Strategies for Small Sample Research - Rick H. Hoyle

Statistical Strategies for Small Sample Research

By: Rick H. Hoyle (Editor)

Hardcover

Published: 1st May 1999
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Published: 30th March 1999
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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: 9780761908852
ISBN-10: 0761908854
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 392
Published: 1st May 1999
Publisher: CORWIN PR INC
Country of Publication: US
Dimensions (cm): 22.86 x 15.24  x 2.54
Weight (kg): 0.74