Multiple Regression: A Primer Paul D. Allison is an English-language study book on multiple regression within the social sciences. This reference work offers a concise and clear introduction, aimed at students and professionals in higher education.
The book covers multiple regression in an organized way through questions and answers. Essential topics, such as reading and interpreting regression tables and evaluating results, are explained in the first chapters. More complex topics, for example around multicollinearity, follow in later sections. This makes it possible to close the book after each chapter with a clear understanding of the key points.
Multiple regression plays a central role in data analysis within the social sciences, because it helps in investigating explanations and correlations. This book is therefore a valuable tool for anyone who wants to master this statistical method.
It aligns thematically with topics such as Social research and statistics, SOCIAL SCIENCE / Research, and SOCIAL SCIENCE / Statistics.
Series: Undergraduate Research Methods & Statistics in the Social Sciences