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Over the past several decades, item response theory (IRT) and item response modeling (IRM) have become increasingly popular in the behavioral, educational, social, business, marketing, clinical, and health sciences.
Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using the powerful software program R.
Introduces students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach. Featuring examples from EQS, LISREL, and Mplus, this is a beginner's guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs.
Introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level. This book examines in detail how each multivariate technique can be implemented using SPSS and SAS and Mplus. It is useful for graduate and advanced undergraduate students in the behavioural, social, and educational sciences.
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