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13 - Multilevel linear models: varying slopes, non-nested models, and other complexities
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14 - Multilevel logistic regression
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Data Analysis Using Regression and Multilevel/Hierarchical Models
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20 - Sample size and power calculations
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A - Six quick tips to improve your regression modeling
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Part 1B - Working with regression inferences
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5 - Logistic regression
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15 - Multilevel generalized linear models
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7 - Simulation of probability models and statistical inferences
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4 - Linear regression: before and after fitting the model
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Glossary
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3 - What Is a Case Study Good For?
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7 - Internal Validity: Process Tracing
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PART II - DOING CASE STUDIES
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Name Index
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Epilogue
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1 - The Conundrum of the Case Study
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PART I - THINKING ABOUT CASE STUDIES
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Acknowledgments
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Frontmatter
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