Models for Non-Modelers: Understanding the Use of Models for Social Scientists and Others

Models for Non-Modelers is a book that teaches non-modelers to understand and critically appraise data and statistical models. It includes worked examples and boxed text for more technical aspects and examines AI and causality. It is suitable for graduate students and researchers in the social sciences.

Format: Paperback / softback
Length: 112 pages
Publication date: 10 August 2023
Publisher: Taylor & Francis Ltd

Models for Non-Modelers is a comprehensive guide that aims to empower non-modelers, particularly social scientists, with the knowledge and skills necessary to understand and critically evaluate models. While data and statistical models are extensively employed in fields such as epidemiology, climate science, and systems design, their complexity can pose significant challenges for individuals without the requisite training. This book is specifically designed to address this gap and provide a valuable resource for non-modelers.

The book begins by delving into the fundamentals of modeling, covering topics such as problem identification, model selection, and interpretation. It employs extensive examination of common models in both visual and text formats to facilitate a clear understanding of their underlying principles and practical applications. In-depth worked examples and boxed text are included to provide a deeper technical understanding, making the content accessible to readers with varying mathematical backgrounds.

Throughout the book, a strong emphasis is placed on the importance of understanding the problems inherent in models, both in terms of their logical structure and their implementation. By examining specific models in epidemiology and climate change scholarship, the book explores the role of AI and the challenges associated with causality analysis. This interdisciplinary approach ensures that readers gain a comprehensive understanding of the field.

Designed for graduate students and researchers in the social sciences, this book offers valuable insights into the assessment of models and the steps required to apply them in their own research. It serves as a comprehensive guide for those embarking on quantitative methods and statistical analysis for research data analysis. With its clear and concise writing style, Models for Non-Modelers is an essential resource for anyone seeking to enhance their understanding of modeling and its applications in the social sciences.

Dimension: 234 x 156 (mm)
ISBN-13: 9781032357379