6 Best Books on Categorical Data Analysis

We have compiled a list of the Best Reference Books on Categorical Data Analysis, which are used by students of top universities, and colleges. This will help you choose the right book depending on if you are a beginner or an expert. Here is the complete list of Categorical Data Analysis Books with their authors, publishers, and an unbiased review of them as well as links to the Amazon website to directly purchase them. If permissible, you can also download the free PDF books on Categorical Data Analysis below.

 
1."Categorical Data Analysis (Wiley Series in Probability and Statistics)" by Alan Agresti
“Categorical Data Analysis (Wiley Series in Probability and Statistics)” Book Review: The book explores contemporary techniques for analyzing univariate and correlated categorical multivariate responses. It encompasses a wide range of subjects, including smoothing, regularization methods, and classification methods. The book also delves into the topics of linear discriminant analysis, classification trees, and cluster analysis. Biostatisticians, as well as researchers in the fields of social and behavioral sciences, medicine, and public health, will find this book helpful.

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2."Categorical Data Analysis by AIC (Mathematics and its Applications)" by Y Sakamoto
“Categorical Data Analysis by AIC (Mathematics and its Applications)” Book review: This book provides a comprehensive and practical approach to analyzing categorical data. It introduces the Akaike Information Criterion (AIC) and the Akaike Bayesian Information Criterion (ABIC), which serve as its basis. The book discusses topics such as categorical variable selection, non-parametric density estimation, and its application to non-parametric testing. It is an essential read for statisticians in mathematics, as well as those working in social sciences, behavioral sciences, and engineering.

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3."Applied Categorical and Count Data Analysis" by Wan Tang
“Applied Categorical and Count Data Analysis” Book Review: This book delves into the statistical analysis of discrete data, encompassing categorical and count outcomes. It addresses several topics, including contingency tables, logistic models, and Poisson regression models. Furthermore, the book covers models for zero-modified count performance, reliability studies, and techniques for handling missing data. Graduate and senior undergraduate students studying biostatistics will find this book beneficial.

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4."Categorical Data Analysis (Wiley Series in Probability and Statistics)" by Alan Agresti
“Categorical Data Analysis (Wiley Series in Probability and Statistics)” Book Review: The book presents cutting-edge techniques for analyzing both univariate and correlated categorical multivariate responses. It covers topics such as smoothing, regularization methods, and classification techniques. The book also offers an explanation of the linear discriminant analysis, classification trees, and cluster analysis. Its coverage makes it a valuable resource for biostatisticians and researchers in the fields of social and behavioral sciences, medicine, and public health.

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5."Head First Data Analysis" by Michael Milton
“Head First Data Analysis:” Book Review: This book serves as a learner’s guide to understanding big numbers, and statistics, and making informed decisions. In today’s world, deciphering information is crucial for organizations and associations. If your work involves managing and analyzing various data, this book will teach you how to collect and organize data, separate noise from reality, identify significant patterns, draw conclusions, predict the future, and communicate your findings to others. Whether you’re a product designer assessing the market potential of a new product or service, a marketing manager evaluating or predicting the effectiveness of a campaign, a salesperson who needs data to support product launches, or a solo entrepreneur responsible for data-intensive functions and more, Head First Data Analysis offers an exceptional approach to learning what you need to know to transform raw data into a critical business tool.

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6."Performing Data Analysis Using IBM SPSS" by Lawrence S Meyers and Glenn C Gamst
“Performing Data Analysis Using IBM SPSS” Book Review: The book provides an explanation of statistical procedures using an example problem, an in-depth analysis, and corresponding datasets. Each method is illustrated with a step-by-step approach, including a mathematical explanation, a research objective, and a dataset with accompanying screenshots. The topics covered in this book include IBM SPSS statistical techniques, descriptive statistics procedures, bivariate correlation, and survival analysis. This book will be useful for researchers and students in various fields who want to learn statistical analysis using IBM SPSS.

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We have put a lot of effort into researching the best books on Categorical Data Analysis and came out with a recommended list and their reviews. If any more book needs to be added to this list, please email us. We are working on free pdf downloads for books on Categorical Data Analysis and will publish the download link here. Fill out this Categorical Data Analysis books pdf download" request form for download notification.

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