{"product_id":"applied-regression-analysis-9781138335486","title":"Applied Regression Analysis","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eContrary 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 i\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e“This book finds a rare balance between applied statistical analysis and theory, giving students the confidence to apply regression analysis in their projects, while being aware of the potential pitfalls.” — \u003cstrong\u003eJohan A. Elkink\u003c\/strong\u003e,\u003cem\u003e Associate Professor in Social Science Research Methods, University College Dublin, Ireland\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e“This book provides a short and bright path to understand the meaning and usefulness of regression analysis. If you are a student or policy maker with limited econometrics skills this book equips you with the right and sufficient skills.” — \u003cstrong\u003eDr. Maty Konte\u003c\/strong\u003e,\u003cem\u003e United Nations University\u003c\/em\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003ePart 1: The Basics\u003c\/strong\u003e 1. What is regression analysis? 2. Linear regression with a single independent variable 3. Linear regression with several independent variables: Multiple regression \u003cstrong\u003ePart 2: The Foundations\u003c\/strong\u003e 4. Samples and populations, statistical uncertainty and testing of statistical significance 5. The assumptions of regression analysis \u003cstrong\u003ePart 3: The Extensions\u003c\/strong\u003e 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 \u003cstrong\u003ePart 4: Regression Purposes, Academic Regression Projects and the Way Ahead\u003c\/strong\u003e 10. Regression purposes in various academic settings and how to perform them 11. The way ahead: Related techniques \u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":51019482497367,"sku":"9781138335486","price":52.24,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781138335486.jpg?v=1750780401","url":"https:\/\/bookcurl.com\/products\/applied-regression-analysis-9781138335486","provider":"Book Curl","version":"1.0","type":"link"}