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Practical Guide to ChIP-seq Data Analysis

Practical Handbook of Thematic Cartography Principles Methods and Applications

Archaeological Spatial Analysis A Methodological Guide

Regression Analysis A Practical Introduction

Regression Analysis A Practical Introduction

This thoroughly practical and engaging textbook is designed to equip students with the skills needed to undertake sound regression analysis without requiring high-level math. Regression Analysis covers the concepts needed to design optimal regression models and to properly interpret regressions. It details the most common pitfalls including three sources of bias not covered in other textbooks. Rather than focusing on equations and proofs the book develops an understanding of these biases visually and with examples of situations in which such biases could arise. In addition it describes how ‘holding other factors constant’ actually works and when it does not work. This second edition features a new chapter on integrity and ethics and has been updated throughout to include more international examples. Each chapter offers examples exercises and clear summaries all of which are designed to support student learning to help towards producing responsible research. This is the textbook the author wishes he had learned from as it would have helped him avoid many research mistakes he made in his career. It is ideal for anyone learning quantitative methods in the social sciences business medicine and data analytics. It will also appeal to researchers and academics looking to better understand regressions. Additional digital supplements are available at: www. youtube. com/channel/UCenm3BWqQyXA2JRKB_QXGyw. | Regression Analysis A Practical Introduction

GBP 39.99
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A Step-by-Step Guide to Exploratory Factor Analysis with SPSS

A Practical Guide to Costumed Interpretation

Elementary Structural Analysis and Design of Buildings A Guide for Practicing Engineers and Students