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Multilevel Modeling Using R

Multilevel Modeling Using R

Like its bestselling predecessor Multilevel Modeling Using R Second Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single level and multilevel data. New in the Second Edition: Features the use of lmer (instead of lme) and including the most up to date approaches for obtaining confidence intervals for the model parameters. Discusses measures of R2 (the squared multiple correlation coefficient) and overall model fit. Adds a chapter on nonparametric and robust approaches to estimating multilevel models including rank based heavy tailed distributions and the multilevel lasso. Includes a new chapter on multivariate multilevel models. Presents new sections on micro-macro models and multilevel generalized additive models. This thoroughly updated revision gives the reader state-of-the-art tools to launch their own investigations in multilevel modeling and gain insight into their research. About the Authors: W. Holmes Finch is the George and Frances Ball Distinguished Professor of Educational Psychology at Ball State University. Jocelyn E. Bolin is a Professor in the Department of Educational Psychology at Ball State University. Ken Kelley is the Edward F. Sorin Society Professor of IT Analytics and Operations and the Associate Dean for Faculty and Research for the Mendoza College of Business at the University of Notre Dame.

GBP 56.99
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A Galaxy of Things The Power of Puppets and Masks in Star Wars and Beyond

A Galaxy of Things The Power of Puppets and Masks in Star Wars and Beyond

A Galaxy of Things explores the ways in which all puppets masks makeup-prosthetic figures are material characters using iconic Star Wars characters like Yoda and R2-D2 to illustrate what makes them so compelling. As an epic franchise Star Wars has been defined by creatures droids and masked figures since the original 1977 movie. Author Colette Searls a theatre director and expert in puppetry studies uncovers how non-humans like Chewbacca semi-humans like Darth Maul and even concealed humans like Boba Fett tell meaningful stories that conventional human characters cannot. Searls defines three powers that puppets masked figures and other material characters wield—distance distillation and duality—and analyzes Star Wars’ most iconic robots and aliens to demonstrate how they work across nearly a half-century of live-action films. Yoda and Baby Yoda—two of popular culture’s greatest puppets—use these qualities to transform their human companions. Similarly Darth Vader’s mask functions as a performing object driving mystery and suspense across three film trilogies. The power of material characters has also been wielded in problematic ways such as stereotypes in the representation of service droids and controversial creatures like Jar Jar Binks. Bringing readers forward into the first Star Wars live-action streaming series the book also explores how the early 2020s stories centered material characters in particularly meaningful often redemptive ways. A Galaxy of Things is an accessible guide to puppets masks and other material characters for students and scholars of theatre film puppetry and popular culture studies. It also offers useful perspectives on non-human representation for researchers in object-oriented ontology posthumanism ethnic studies and material culture. | A Galaxy of Things The Power of Puppets and Masks in Star Wars and Beyond

GBP 35.99
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