In the mid 1980s a number of researchers began to pursue systematic approaches to the statistical modelling and analysis of hierarchically structured data. Aitkin's early work on teaching styles and his subsequent classic work with Longford initiated a series of developments that by the early 1990s had resulted in a core of established techniques and software. The methods are now finding wide applications in education, epidemiology, geography, child development, and sociology. This new edition aims to integrate existing methodological developments, provide examples, and explain new developments, especially in discrete response data, times series models, random cross classifications, errors of measurement, missing data, and nonlinear models.
Susan Weinschenk has a Ph.D. in Psychology and over 30 years of experience as a behavioral psychologist. She applies neuroscience to predict, understand, and explain what motivates people and how to get people to take action.
Dr. Weinschenk is the author of several books, including How To Get People To Do Stuff, 100 Things Every Presenter Needs To Know About People, 100 Things Every Designer Needs To Know About People, and Neuro Web Design: What makes them click? She is the founder of the Weinschenk Institute. She teaches, speaks, mentors, and consults with Fortune 1000 companies, start-ups, non-profit agencies, and educational institutions, and writes a popular blog: www.theteamw.com/blog, and the “Brain Wise: Work better, work smarter” blog for Psychology Today.