Multilevel Analysis for Applied Research: It's Just

Multilevel Analysis for Applied Research: It's Just Regression! It is easy to read and the author does a good job of giving an overview of the basic concept of MLM At the same time the explanations tend to be to long and you need to go through a lot of pages before arriving at the point of the chapter The author tries to ease the reader into thedifficult parts, but ends up making things evenconfusing by making contradictory statements to simplify the ideas in the beginning So make sure you get through the entire thing before being confident th It is easy to read and the author does a good job of giving an overview of the basic concept of MLM At the same time the explanations tend to be to long and you need to go through a lot of pages before arriving at the point of the chapter The author tries to ease the reader into thedifficult parts, but ends up making things evenconfusing by making contradictory statements to simplify the ideas in the beginning So make sure you get through the entire thing before being confident that you have gotten all the facts The text could be organised better, so it would be easier to skip some of the many and lenghty examples without losing any important information Overall it helped me a lot, but it was also a lot of work to find all the relevant paragraphs Good for a conceptual intro to MLM, but his example data sets are confusing I don t recommend as a tutorial for MLM. This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual level dependent variable, such as student reading achievement, and individual level and contextual explanatory factors, such as gender and neighborhood quality Helping readers build on the statistical techniques they already know, Robert Bickel emphasizes the parallels with familiar regression models, shows how to do multilevel modeling using SPSS, and demonstrates how to interpret the results He discusses the strengths and limitations of multilevel analysis and explains specific circumstances in which it offers or does not offer methodological advantages over traditional techniques Overdataset examples from research on educational achievement, income attainment, voting behavior, and other timely issues are presented in numbered procedural steps


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