000			01943 a2200181 4500
999			_c129874 _d129874
005			20200904150105.0
008			200904b ||||| |||| 00| 0 eng d
020			_a9781138335486
082			_a519.5 _bTHR
100			_aThrane, Christer _91953
245			_aApplied regression analysis: _bdoing, interpreting and reporting
260			_aAbingdon, Oxon ; New York, NY : _bRoutledge, _c2020
300			_aviii, 191 p.
520			_a"This book is an introduction to regression analysis focusing on the practicalities of doing regression analysis on real life data. 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 complimented by practical examples of real-life data analysis using statistics software such as Stata, R and SPSS. The first two parts 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. The third part of the book deals with how to practically handle violations of the classical linear regression assumptions, regression modelling for categorical y-variables and instrumental variable (IV) regression. The fourth part of the book 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. This book is written primarily for those who need to do regression analysis in practice, and not only to understand how this method works in theory. The book's accessible approach is recommended for students from across the social sciences"
650			_aRegression analysis _92092
650			_a Social sciences - Statistical methods _9307
942			_cBK