Presenting Statistical Results Effectively

This book provides practical guidance for interpreting and discussing statistical results, covering key concepts such as analytic and presentation techniques, cognitive processes, distribution assessment, and result communication. It is tailored for statistics students and researchers and can be applied to various models and contexts.

Format: Hardback
Length: 456 pages
Publication date: 20 December 2021
Publisher: SAGE Publications Ltd

This comprehensive guide is a must-have for any statistics student or researcher seeking to interpret and discuss their results in a way that not only gives them meaning but also maximizes their impact on their target audience. Whether your data involves a wide range of variables or a specific focus, this book provides a roadmap for analysis and presentation that can be easily extended to other models and contexts.

The book is divided into several chapters, each dedicated to a specific aspect of building statistical models and communicating their results. Here's a breakdown of the key chapters:

Chapter 1: Introduction to Statistical Modeling and Data Analysis
This chapter provides an overview of statistical modeling and data analysis, including the types of data and models commonly used in research. It also introduces the cognitive processes involved in decoding information and the importance of understanding these processes to effectively communicate your results.

Chapter 2: Finding the Right Analytic and Presentation Techniques
In this chapter, you'll learn how to identify the appropriate analytic and presentation techniques for your type of data. You'll explore different types of statistical models, such as linear and non-linear models, and learn when and how to choose the most suitable model for your research question. You'll also learn how to assess distributions and relationships among variables and how to use tables or graphs to effectively present your results.

Chapter 3: Understanding the Cognitive Processes Involved in Decoding Information
This chapter delves into the cognitive processes involved in decoding information, including attention, memory, and perception. You'll learn how to design your study to maximize the impact of your results on your target audience and how to use visual aids such as tables or graphs to enhance understanding and retention.

Chapter 4: Assessing Distributions and Relationships Among Variables
In this chapter, you'll learn how to assess distributions and relationships among variables using statistical tools such as histograms, scatter plots, and correlation analysis. You'll also learn how to identify outliers and how to use statistical models to predict future outcomes.

Chapter 5: Building, Comparing, and Presenting Results for Linear and Non-Linear Models
This chapter provides hands-on guidance on building, comparing, and presenting results for linear and non-linear models. You'll learn how to fit statistical models to your data and how to interpret the results in a meaningful way. You'll also learn how to present your results in a clear and concise manner, using tables or graphs to effectively communicate your findings.

Chapter 6: Working with Univariate, Bivariate, and Multivariate Distributions
In this chapter, you'll learn how to work with univariate, bivariate, and multivariate distributions, including the normal distribution, binomial distribution, and Poisson distribution. You'll also learn how to use statistical models to analyze data with multiple variables and how to interpret the results in a meaningful way.

Chapter 7: Communicating the Processes Involved in and Importance of Your Results
In this chapter, you'll learn how to communicate the processes involved in and the importance of your results to your target audience. You'll learn how to use language that is clear, concise, and accessible to a wide range of readers, including non-statistics professionals. You'll also learn how to use visual aids such as charts, graphs, and diagrams to enhance understanding and retention.

In addition to the practical guidance provided in each chapter, the book also includes numerous examples and case studies to illustrate the key concepts and techniques discussed. These examples and case studies are drawn from a wide range of fields, including psychology, economics, and social sciences.

Whether you're a beginner in statistics or a seasoned researcher seeking to improve your skills, this book offers a comprehensive and practical guide to interpreting and discussing your results in a way that maximizes their impact on your target audience. It's a must-have resource for anyone who wants to build statistical models and effectively communicate their findings.

Weight: 1030g
Dimension: 246 x 189 (mm)
ISBN-13: 9781446269800