Applied Regression Analysis: Doing, Interpreting and Reporting

Applied Regression Analysis: Doing, Interpreting and Reporting is a practical introduction to regression for readers who want more than formulas on a page. Christer Thrane keeps the focus on real-world data, clear interpretation, and the everyday work of reporting results in a scholarly setting.

Rather than assuming a deep mathematical background, the book builds understanding step by step. It starts with simple and multiple linear regression, then moves into the ideas that make regression work in practice: significance testing, sampling, confidence intervals, and the assumptions behind the method. From there, it broadens into regression models for categorical and ordinal outcomes, mediation, and instrumental variable analysis.

From Core Regression to Practical Extensions

The structure is especially useful for readers who want a guided path through the subject. Early chapters establish the basics; later sections address common complications such as non-linearity, interactions, and violations of classical assumptions. The closing chapters connect regression analysis to academic research writing and introduce related approaches that readers may want to explore next.

Why This Book Stands Out

• Practical orientation: built around doing regression analysis on real-life data.
• Accessible approach: designed for readers who want a clear route into the subject.
• Broad coverage: moves from standard linear regression into logistic, ordinal, and IV regression.
• Research-minded perspective: links statistical analysis to reporting and scholarly writing.

Well Suited To

This ebook is a strong fit for students and researchers in the social sciences, as well as anyone who needs a structured introduction to regression analysis that balances interpretation, application, and reporting.

If you are looking for a regression text that is grounded, readable, and methodical, this is a smart addition to your Digital Delights library.