Provides strategies for researchers who routinely address research questions using data from small samples. This book covers such topics as: using multiple imputation software with small sets; computing and combining effect sizes; bootstrap hypothesis testing; latent variable modeling; and, time-series data from small numbers of individuals.
Provides strategies for researchers who routinely address research questions using data from small samples. This book covers such topics as: using mul...
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.
This book provides encouragement and strategies for researchers who routinely address research questions using data from small samples. Chapters co...
Reviews some of the major issues facing researchers who wish to use structural equation modeling. This title includes individual chapters that present developments on specification, estimation and testing, statistical power, software comparisons and analyzing multitrait/multimethod data.
Reviews some of the major issues facing researchers who wish to use structural equation modeling. This title includes individual chapters that present...
