The Practice Of Data Analysis

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The Practice of Qualitative Data Analysis

Stefan Rädiker,Michael C. Gizzi
The Practice of Qualitative Data Analysis Book PDF

Author : Stefan Rädiker,Michael C. Gizzi
Publisher : BoD – Books on Demand
Page : 182 pages
File Size : 51,9 Mb
Release : 2024-03-08
Category : Language Arts & Disciplines
ISBN : 9783948768171

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The Practice of Qualitative Data Analysis by Stefan Rädiker,Michael C. Gizzi Pdf

This book is a companion to the first volume of The Practice of Qualitative Data Analysis published in 2021. Volume 2 provides an additional nine case studies of real-world examples that illustrate how MAXQDA is used in actual research projects. Each chapter is organized to walk the reader through the research example, beginning with an introduction to the topic, a discussion of data collection and methodological approach, and a step-by-step description of how they used MAXQDA from start to finish, gaining insights into both efficient ways to use MAXQDA and innovative approaches they might not be aware of. Readers can benefit from this book in several ways: - Get inspirations and solutions for their own projects - Learn more about innovative methodological approaches - Avoid pitfalls by learning from the lessons offered by the authors at the end of each chapter - Draw insights from more than 120 screenshots that illustrate qualitative research in practice Audience: - All researchers who want to get to learn the potential of qualitative data analysis with MAXQDA - All MAXQDA users who want to expand their knowledge and skills, regardless of whether they are novices or experts

Data Analysis for the Social Sciences

Douglas Bors
Data Analysis for the Social Sciences Book PDF

Author : Douglas Bors
Publisher : SAGE
Page : 1115 pages
File Size : 43,9 Mb
Release : 2018-01-08
Category : Social Science
ISBN : 9781526422309

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Data Analysis for the Social Sciences by Douglas Bors Pdf

′This book fosters in-depth understanding of the logic underpinning the most common statistical tests within the behavioural sciences. By emphasising the shared ground between these tests, the author provides crucial scaffolding for students as they embark upon their research journey.′ —Ruth Horry, Psychology, Swansea University ′This unique text presents the conceptual underpinnings of statistics as well as the computation and application of statistics to real-life situations--a combination rarely covered in one book. A must-have for students learning statistical techniques and a go-to handbook for experienced researchers.′ —Barbra Teater, Social Work, College of Staten Island, City University of New York Accessible, engaging, and informative, this book will help any social science student approach statistics with confidence. With a well-paced and well-judged integrated approach rather than a simple linear trajectory, this book progresses at a realistic speed that matches the pace at which statistics novices actually learn. Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows students not only how to apply newfound knowledge using IBM SPSS Statistics, but also why they would want to. Spanning statistics basics like variables, constants, and sampling through to t-tests, multiple regression and factor analysis, it builds statistical literacy while also covering key research principles like research questions, error types and results reliability. It shows you how to: Describe data with graphs, tables, and numbers Calculate probability and value distributions Test a priori and post hoc hypotheses Conduct Chi-squared tests and observational studies Structure ANOVA, ANCOVA, and factorial designs Supported by lots of visuals and a website with interactive demonstrations, author video, and practice datasets, this book is the student-focused companion to support students through their statistics journeys.

Compositional Data Analysis in Practice

Michael Greenacre
Compositional Data Analysis in Practice Book PDF

Author : Michael Greenacre
Publisher : CRC Press
Page : 120 pages
File Size : 54,7 Mb
Release : 2018-07-17
Category : Business & Economics
ISBN : 9780429849015

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Compositional Data Analysis in Practice by Michael Greenacre Pdf

Compositional Data Analysis in Practice is a user-oriented practical guide to the analysis of data with the property of a constant sum, for example percentages adding up to 100%. Compositional data can give misleading results if regular statistical methods are applied, and are best analysed by first transforming them to logarithms of ratios. This book explains how this transformation affects the analysis, results and interpretation of this very special type of data. All aspects of compositional data analysis are considered: visualization, modelling, dimension-reduction, clustering and variable selection, with many examples in the fields of food science, archaeology, sociology and biochemistry, and a final chapter containing a complete case study using fatty acid compositions in ecology. The applicability of these methods extends to other fields such as linguistics, geochemistry, marketing, economics and finance. R Software The R package easyCODA, which accompanies this book, can be downloaded from R-Forge as follows: install.packages("easyCODA", repos="") and will be available on CRAN soon. Notice that the R packages ca and vegan also have to be installed (from CRAN in the usual way).

The Practice of Data Analysis

David R. Brillinger,Luisa T. Fernholz,Stephan Morgenthaler
The Practice of Data Analysis Book PDF

Author : David R. Brillinger,Luisa T. Fernholz,Stephan Morgenthaler
Publisher : Princeton University Press
Page : 352 pages
File Size : 40,8 Mb
Release : 2014-07-14
Category : Mathematics
ISBN : 9781400851607

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The Practice of Data Analysis by David R. Brillinger,Luisa T. Fernholz,Stephan Morgenthaler Pdf

This collection of essays brings together many of the world's most distinguished statisticians to discuss a wide array of the most important recent developments in data analysis. The book honors John W. Tukey, one of the most influential statisticians of the twentieth century, on the occasion of his eightieth birthday. Contributors, some of them Tukey's former students, use his general theoretical work and his specific contributions to Exploratory Data Analysis as the point of departure for their papers. They cover topics from "pure" data analysis, such as gaussianizing transformations and regression estimates, and from "applied" subjects, such as the best way to rank the abilities of chess players or to estimate the abundance of birds in a particular area. Tukey may be best known for coining the common computer term "bit," for binary digit, but his broader work has revolutionized the way statisticians think about and analyze sets of data. In a personal interview that opens the book, he reviews these extraordinary contributions and his life with characteristic modesty, humor, and intelligence. The book will be valuable both to researchers and students interested in current theoretical and practical data analysis and as a testament to Tukey's lasting influence. The essays are by Dhammika Amaratunga, David Andrews, David Brillinger, Christopher Field, Leo Goodman, Frank Hampel, John Hartigan, Peter Huber, Mia Hubert, Clifford Hurvich, Karen Kafadar, Colin Mallows, Stephan Morgenthaler, Frederick Mosteller, Ha Nguyen, Elvezio Ronchetti, Peter Rousseeuw, Allan Seheult, Paul Velleman, Maria-Pia Victoria-Feser, and Alessandro Villa. Originally published in 1998. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Missing Data Analysis in Practice

Trivellore Raghunathan
Missing Data Analysis in Practice Book PDF

Author : Trivellore Raghunathan
Publisher : CRC Press
Page : 227 pages
File Size : 51,6 Mb
Release : 2015-10-28
Category : Mathematics
ISBN : 9781482211931

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Missing Data Analysis in Practice by Trivellore Raghunathan Pdf

Missing Data Analysis in Practice provides practical methods for analyzing missing data along with the heuristic reasoning for understanding the theoretical underpinnings. Drawing on his 25 years of experience researching, teaching, and consulting in quantitative areas, the author presents both frequentist and Bayesian perspectives. He describes ea

Spatial Data Analysis

Robert P. Haining
Spatial Data Analysis Book PDF

Author : Robert P. Haining
Publisher : Cambridge University Press
Page : 462 pages
File Size : 45,7 Mb
Release : 2003-04-17
Category : Business & Economics
ISBN : 0521774373

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Spatial Data Analysis by Robert P. Haining Pdf

Spatial Data Analysis: Theory and Practice, first published in 2003, provides a broad ranging treatment of the field of spatial data analysis. It begins with an overview of spatial data analysis and the importance of location (place, context and space) in scientific and policy related research. Covering fundamental problems concerning how attributes in geographical space are represented to the latest methods of exploratory spatial data analysis and spatial modeling, it is designed to take the reader through the key areas that underpin the analysis of spatial data, providing a platform from which to view and critically appreciate many of the key areas of the field. Parts of the text are accessible to undergraduate and master's level students, but it also contains sufficient challenging material that it will be of interest to geographers, social and economic scientists, environmental scientists and statisticians, whose research takes them into the area of spatial analysis.

Multivariate Data Analysis

Kim H. Esbensen,Dominique Guyot,Frank Westad,Lars P. Houmoller
Multivariate Data Analysis Book PDF

Author : Kim H. Esbensen,Dominique Guyot,Frank Westad,Lars P. Houmoller
Publisher : Multivariate Data Analysis
Page : 622 pages
File Size : 42,8 Mb
Release : 2002
Category : Experimental design
ISBN : 8299333032

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Multivariate Data Analysis by Kim H. Esbensen,Dominique Guyot,Frank Westad,Lars P. Houmoller Pdf

"Multivariate Data Analysis - in practice adopts a practical, non-mathematical approach to multivariate data analysis. The book's principal objective is to provide a conceptual framework for multivariate data analysis techniques, enabling the reader to apply these in his or her own field. Features: Focuses on the practical application of multivariate techniques such as PCA, PCR and PLS and experimental design. Non-mathematical approach - ideal for analysts with little or no background in statistics. Step by step introduction of new concepts and techniques promotes ease of learning. Theory supported by hands-on exercises based on real-world data. A full training copy of The Unscrambler (for Windows 95, Windows NT 3.51 or later versions) including data sets for the exercises is available. Tutorial exercises based on data from real-world applications are used throughout the book to illustrate the use of the techniques introduced, providing the reader with a working knowledge of modern multivariate data analysis and experimental design. All exercises use The Unscrambler, a de facto industry standard for multivariate data analysis software packages. Multivariate Data Analysis in Practice is an excellent self-study text for scientists, chemists and engineers from all disciplines (non-statisticians) wishing to exploit the power of practical multivariate methods. It is very suitable for teaching purposes at the introductory level, and it can always be supplemented with higher level theoretical literature."Résumé de l'éditeur.

Compositional Data Analysis in the Geosciences

Antonella Buccianti,G. Mateu-Figueras,Vera Pawlowsky-Glahn
Compositional Data Analysis in the Geosciences Book PDF

Author : Antonella Buccianti,G. Mateu-Figueras,Vera Pawlowsky-Glahn
Publisher : Geological Society of London
Page : 232 pages
File Size : 46,8 Mb
Release : 2006
Category : Mathematics
ISBN : 1862392056

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Compositional Data Analysis in the Geosciences by Antonella Buccianti,G. Mateu-Figueras,Vera Pawlowsky-Glahn Pdf

Since Karl Pearson wrote his paper on spurious correlation in 1897, a lot has been said about the statistical analysis of compositional data, mainly by geologists such as Felix Chayes. The solution appeared in the 1980s, when John Aitchison proposed to use Iogratios. Since then, the approach has seen a great expansion, mainly building on the idea of the `natural geometry' of the sample space. Statistics is expected to give sense to our perception of the natural scale of the data, and this is made possible for compositional data using Iogratios. This publication will be a milestone in this process.

Compositional Data Analysis in Practice

Michael Greenacre
Compositional Data Analysis in Practice Book PDF

Author : Michael Greenacre
Publisher : CRC Press
Page : 120 pages
File Size : 52,8 Mb
Release : 2018-07-17
Category : Business & Economics
ISBN : 9780429849022

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Compositional Data Analysis in Practice by Michael Greenacre Pdf

Compositional Data Analysis in Practice is a user-oriented practical guide to the analysis of data with the property of a constant sum, for example percentages adding up to 100%. Compositional data can give misleading results if regular statistical methods are applied, and are best analysed by first transforming them to logarithms of ratios. This book explains how this transformation affects the analysis, results and interpretation of this very special type of data. All aspects of compositional data analysis are considered: visualization, modelling, dimension-reduction, clustering and variable selection, with many examples in the fields of food science, archaeology, sociology and biochemistry, and a final chapter containing a complete case study using fatty acid compositions in ecology. The applicability of these methods extends to other fields such as linguistics, geochemistry, marketing, economics and finance. R Software The following repository contains data files and R scripts from the book https://github.com/michaelgreenacre/CODAinPractice. The R package easyCODA, which accompanies this book, is available on CRAN -- note that you should have version 0.25 or higher. The latest version of the package will always be available on R-Forge and can be installed from R with this instruction: install.packages("easyCODA", repos="http://R-Forge.R-project.org").

Data Analysis for Business, Economics, and Policy

Gábor Békés,Gábor Kézdi
Data Analysis for Business Economics and Policy Book PDF

Author : Gábor Békés,Gábor Kézdi
Publisher : Cambridge University Press
Page : 741 pages
File Size : 42,5 Mb
Release : 2021-05-06
Category : Business & Economics
ISBN : 9781108483018

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Data Analysis for Business, Economics, and Policy by Gábor Békés,Gábor Kézdi Pdf

A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.

Analyzing Neural Time Series Data

Mike X Cohen
Analyzing Neural Time Series Data Book PDF

Author : Mike X Cohen
Publisher : MIT Press
Page : 615 pages
File Size : 45,9 Mb
Release : 2014-01-17
Category : Psychology
ISBN : 9780262019873

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Analyzing Neural Time Series Data by Mike X Cohen Pdf

A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists. Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the “analyze now” button. The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.

Practical Statistics for Data Scientists

Peter Bruce,Andrew Bruce
Practical Statistics for Data Scientists Book PDF

Author : Peter Bruce,Andrew Bruce
Publisher : "O'Reilly Media, Inc."
Page : 395 pages
File Size : 40,9 Mb
Release : 2017-05-10
Category : Computers
ISBN : 9781491952917

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Practical Statistics for Data Scientists by Peter Bruce,Andrew Bruce Pdf

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

Nonparametric Functional Data Analysis

Frédéric Ferraty,Philippe Vieu
Nonparametric Functional Data Analysis Book PDF

Author : Frédéric Ferraty,Philippe Vieu
Publisher : Springer Science & Business Media
Page : 260 pages
File Size : 42,5 Mb
Release : 2006-11-22
Category : Mathematics
ISBN : 9780387366203

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Nonparametric Functional Data Analysis by Frédéric Ferraty,Philippe Vieu Pdf

Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. At the same time it shows how functional data can be studied through parameter-free statistical ideas, and offers an original presentation of new nonparametric statistical methods for functional data analysis.

Analyzing Qualitative Data with MAXQDA

Udo Kuckartz,Stefan Rädiker
Analyzing Qualitative Data with MAXQDA Book PDF

Author : Udo Kuckartz,Stefan Rädiker
Publisher : Springer
Page : 293 pages
File Size : 52,6 Mb
Release : 2019-05-31
Category : Social Science
ISBN : 9783030156718

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Analyzing Qualitative Data with MAXQDA by Udo Kuckartz,Stefan Rädiker Pdf

This book presents strategies for analyzing qualitative and mixed methods data with MAXQDA software, and provides guidance on implementing a variety of research methods and approaches, e.g. grounded theory, discourse analysis and qualitative content analysis, using the software. In addition, it explains specific topics, such as transcription, building a coding frame, visualization, analysis of videos, concept maps, group comparisons and the creation of literature reviews. The book is intended for masters and PhD students as well as researchers and practitioners dealing with qualitative data in various disciplines, including the educational and social sciences, psychology, public health, business or economics.

R for Data Science

Hadley Wickham,Garrett Grolemund
R for Data Science Book PDF

Author : Hadley Wickham,Garrett Grolemund
Publisher : "O'Reilly Media, Inc."
Page : 521 pages
File Size : 41,6 Mb
Release : 2016-12-12
Category : Computers
ISBN : 9781491910368

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R for Data Science by Hadley Wickham,Garrett Grolemund Pdf

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results