Thrane, Christer <br/><br/>
Applied regression analysis:  doing, interpreting and reporting 

 - New York  Routledge  2020 
 - viii, 191 p. 
<br/><br/> Table of contents:<br/>Part 1: The Basics  1. What is regression analysis?  2. Linear regression with a single independent variable  3. Linear regression with several independent variables: Multiple regression  Part 2: The Foundations  4. Samples and populations, statistical uncertainty and testing of statistical significance  5. The assumptions of regression analysis  Part 3: The Extensions  6. Beyond linear regression: Non-additivity, non-linearity and mediation  7. A categorical dependent variable: Logistic (logit) regression and related methods  8. An ordered (ordinal) dependent variable: Logistic (logit) regression  9. The quest for a causal effect: Instrumental variable (IV) regression  Part 4: Regression Purposes, Academic Regression Projects and the Way Ahead  10. Regression purposes in various academic settings and how to perform them  11. The way ahead: Related techniques<br/><br/>[https://www.routledge.com/Applied-Regression-Analysis-Doing-Interpreting-and-Reporting/Thrane/p/book/9781138335486] 
<br/><br/> This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data.<br/><br/>Contrary to other textbooks on regression, this book is based on the idea that you do not necessarily need to know much about statistics and mathematics to get a firm grip on regression and perform it to perfection. This non-technical point of departure is complemented by practical examples of real-life data analysis using statistics software such as Stata, R and SPSS. Parts 1 and 2 of the book cover the basics, such as simple linear regression, multiple linear regression, how to interpret the output from statistics programs, significance testing and the key regression assumptions. Part 3 deals with how to practically handle violations of the classical linear regression assumptions, regression modeling for categorical y-variables and instrumental variable (IV) regression. Part 4 puts the various purposes of, or motivations for, regression into the wider context of writing a scholarly report and points to some extensions to related statistical techniques<br/><br/>(https://www.routledge.com/Applied-Regression-Analysis-Doing-Interpreting-and-Reporting/Thrane/p/book/9781138335486) 
<br/><br/><label>ISBN: </label>9781138335486 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Regression analysis<br/>Social sciences--Statistical method
<br/><br/><label>Dewey Class. No.: </label>519.536  / THR