qualitative data analysis pat bazeley

Qualitative Data Analysis - Pat Bazeley

Balancing theoretical foundations with practical strategies, this book helps you develop an approach to your qualitative analysis that is both systematic and insightful. It demonstrates the importance of tying analysis into every aspect of research, from design, through data collection and management, to writing up, and provides step-by-step guidance on how to embed analysis from start to finish. Grounded in the reality of doing research, this second edition:  • Presents visual and text-based methods for analysis, using manual and digital tools  • Inspires confidence as you code, connect and interrogate observational, text and visual data  • Showcases best practice and helps you navigate real-life dilemmas using case studies of research from across the social sciences. Together with rich online resources including videos, datasets and journal articles, this is an important new edition for all students undertaking qualitative research, with a focus on analysis and design.

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Qualitative Data Analysis - International Student Edition - Johnny Saldana, A. Michael Huberman, Matthew B. Miles

"This comprehensive, practical, user-friendly book provides a wealth of data analysis strategies that are essential for any qualitative research. It is a must-have tool book for moving from data analysis to writing for publication!"   –Guofang Li, University of British Columbia, Canada  Miles, Huberman, and Saldaña’s Qualitative Data Analysis: A Methods Sourcebook is the authoritative text for analyzing and displaying qualitative research data. The Fourth Edition maintains the analytic rigor of previous editions while showcasing a variety of new visual display models for qualitative inquiry. Graphics are added to the now-classic matrix and network illustrations of the original co-authors. Five chapters have been substantially revised, and the appendix’s annotated bibliography includes new titles in research methods. Graduate students and established scholars from all disciplines will find this resource an innovative compendium of ideas for the representation and presentation of qualitative data. As the authors demonstrate, when researchers "think display," their analyses of social life capture the complex and vivid processes of the people and institutions studied.

Objev podobné jako Qualitative Data Analysis - International Student Edition - Johnny Saldana, A. Michael Huberman, Matthew B. Miles

Qualitative Data Analysis

With numerous approaches to choose from, knowing where to start when doing qualitative data analysis (QDA) can be a challenge. This book gives you direction with an accessible and thorough introduction to nine different approaches to QDA, written by a multi-disciplinary team with years of experience teaching and analysing data using these methods.  With a clear focus on the ‘how to’ of QDA, each chapter includes:  •Step-by-step descriptions of how to apply each approach in your research •Online and in-text activities to help you practice your skills •Annotated reading lists so you can dig deeper into key topics •Case studies from a range of disciplines so you can see how each approach works in practice. The perfect companion on your journey through QDA, the book also offers a comprehensive introduction to the use of NVivo QDA software, helping both new and experienced researchers get to grips with the essentials. Â

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Successful Qualitative Research - Victoria Clarke, Virginia Braun

*Shortlisted for the BPS Book Award 2014 in the Textbook Category* *Winner of the 2014 Distinguished Publication Award (DPA) from the Association for Women in Psychology (AWP)* Successful Qualitative Research: A Practical Guide for Beginners is an accessible, practical textbook. It sidesteps detailed theoretical discussion in favor of providing a comprehensive overview of strategic tips and skills for starting and completing successful qualitative research. Uniquely, the authors provide a "patterns framework" to qualitative data analysis in this book, also known as "thematic analysis." The authors walk students through a basic thematic approach, and compare and contrast this with other approaches. This discussion of commonalities, explaining why and when each method should be used, and in the context of looking at patterns, will provide students with complete confidence for their qualitative research journey. This textbook will be an essential textbook for undergraduates and postgraduates taking a course in qualitative research or using qualitative approaches in a research project.

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Doing Qualitative Research - David Silverman

Need practical advice on how to do your first qualitative research project? This book will guide you through each step of the research process: from brainstorming ideas and working with your supervisor to navigating the field to writing up your results. Driven by examples from other students’ projects, the book features discussions on translating social problems into research topics, collecting data in the wake of a pandemic, and guidance from Qualitative Data Analysis Software expert Christian Schmieder to help you summarise, categorise, and review qualitative data. A new chapter on how much data you need answers the age-old question: ‘how many interviews or case studies are enough?’It also includes: - Articles and websites to build your bibliography - Questions to test your knowledge - Videos from world-leading qualitative experts - Activities to dig deeper into key concepts and think critically about research - Lessons-learned discussions with other researchers - Exercises to help you choose the right path for your project.  Key features: in addition to the online Silverman Workshops, the book includes top tips, end-of-chapter checklists to test your understanding, and annotated further reading so you can develop your knowledge further.

Objev podobné jako Doing Qualitative Research - David Silverman

Developing Theory Through Qualitative Inquiry - Johnny Saldana

This unique text shows researchers how to develop theories derived through qualitative inquiry. Johnny Saldaña illustrates how a theory is a research-based statement with an accompanying explicating narrative that contains six properties: concepts, propositional logic, parameters/variation, explanation/causation, generalizability/transferability, and the improvement of social life. The book features hundreds of examples of theories and metatheories from a wide range of disciplines and includes end-of-chapter activities for exercising the skills necessary to develop original theories. Just as Saldaña demystifies coding and qualitative data analysis in his bestselling Sage books, Developing Theory Through Qualitative Inquiry presents an accessible introduction to the principles and methods of theorizing for social insight.

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Data Analysis in Qualitative Research - Iddo Tavory, Stefan Timmermans

From two experts in the field comes an accessible, how-to guide that will help researchers think more productively about the relation between theory and data at every stage of their work. In Data Analysis in Qualitative Research, Iddo Tavory and Stefan Timmermans provide a how-to guide filled with tricks of the trade for researchers who hope to take excellent qualitative data and transform it into powerful scholarship. In their previous book, Abductive Analysis: Theorizing Qualitative Research, Timmermans and Tavory offered a toolkit for innovative theorizing in the social sciences. In this companion, they go one step further to show how to uncover the surprising revelations that lie waiting in qualitative data—in sociology and beyond.  In this book, they lay out a series of tools designed to help both novice and expert scholars see and understand their data in surprising ways. Timmermans and Tavory show researchers how to “stack the deck” of qualitative research in favor of locating surprising findings that may lead to theoretical breakthroughs, whether by engaging with theory, discussing research strategies, or walking the reader through the process of coding data. From beginning to end of a research project, Data Analysis in Qualitative Research helps social scientists ... Unknown localization key: "more"

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Qualitative Content Analysis in Practice - Margrit Schreier

Qualitative content analysis is a powerful method for analyzing large amounts of qualitative data collected through interviews or focus groups. It is frequently employed by students, but introductory textbooks on content analysis have largely focused on the quantitative version of the method. In one of the first to focus on qualitative content analysis, Margrit Schreier takes students step-by step through:- creating a coding frame- segmenting the material- trying out the coding frame- evaluating the trial coding - carrying out the main coding- what comes after qualitative content analysis- making use of software when conducting qualitative content analysis.Each part of the process is described in detail and research examples are provided to illustrate each step. Frequently asked questions are answered, the most important points are summarized, and end of chapter questions provide an opportunity to revise these points. After reading the book, students are fully equiped to conduct their own qualitative content analysis.Designed for upper level undergraduate, MA, PhD students and researchers across the social sciences, this is essential reading for all those who want to use qualitative content analysis.

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Qualitative Content Analysis - Philipp Mayring

In eight clear-cut steps, this book provides a systematic introduction to qualitative content analysis and how you can use it in each stage of your research project, no matter the type or amount of data. Developed by a leading expert in the field and based on years of teaching experience, this book offers an essential framework for interpreting qualitative data for any social sciences student or researcher. To support you in choosing the best approach for your research, this book includes: ·      Examples of how QCA can be applied to various research processes ·      An introduction to text analysis and its different approaches ·      Discussions of how to use QCA software to benefit your research ·    An online how-to manual to help you get the most out of QCAmap software. It also introduces the process of scientific research, and integrates qualitative and quantitative analysis into the step-by-step approach.

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Qualitative Comparative Analysis in Mixed Methods Research and Evaluation - Heather Kane, Leila Kahwati

Qualitative Comparative Analysis in Mixed Methods Research and Evaluation provides a user-friendly introduction for using Qualitative Comparative Analysis (QCA) as part of a mixed methods approach to research and evaluation. Offering practical, in-depth, and applied guidance for this unique analytic technique that is not provided in any current mixed methods textbook, the chapters of this guide skillfully build upon one another to walk researchers through the steps of QCA in logical order. To enhance and further reinforce learning, authors Leila C. Kahwati and Heather L. Kane provide supportive learning objectives, summaries, and exercises, as well as author-created datasets for use in R via the companion site.  Qualitative Comparative Analysis in Mixed Methods Research and Evaluation is Volume 6 in SAGE’s Mixed Methods Research Series.

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Qualitative Data Collection Tools - Felice D. Billups

Qualitative Data Collection Tools is a new and unique supplementary text that will guide students and new researchers to design, develop, pilot, and employ qualitative tools in order to collect qualitative data. An often-omitted subject in general qualitative textbooks, qualitative tools form the backbone of the data collection process. Students and new researchers are frequently left to create their own qualitative tools from scratch, an unnecessary hurdle in the qualitative research design process. Author Felice D. Billups has used her experience as a qualitative researcher, and in teaching and advising students about qualitative research, to develop the templates in this book as a starting point for readers conducting original qualitative research. The author briefly describes each method of data collection and offers readers suggestions for using and adapting the qualitative instrument templates within the text. Templates of interview protocols, focus group moderator guides, content analysis tools, document analysis tools, reflective questionnaires, diary and journal logs, and observational rubrics give the reader either a cut-and-paste solution for their own research or a starting point to design their own personalized qualitative tools. The first three chapters illuminate the qualitative data collection process and the role each type of qualitative tool plays in ... Unknown localization key: "more"

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Interpreting Qualitative Data - David Silverman

In his signature pragmatic and friendly style, David Silverman acts as your stand-in supervisor in the seventh edition of this book, taking you step-by-step through different methods for making sense of qualitative data. Whether you are interested in analysing visual images, interviews, focus groups or online data, this book provides a clear framework for using qualitative data to answer your research questions. The book provides: • A strong grounding in research design principles so you can embed best practice into your research project. • Diverse real-world examples so you can see how principles are applied in practice. • Coverage of new developments in qualitative research including working with online data. If you are new to qualitative research or conducting your first research project in the social sciences, this book gives you the practical grounding in qualitative methods you need to get started.Â

Objev podobné jako Interpreting Qualitative Data - David Silverman

Interpreting Qualitative Data - David Silverman

In his signature pragmatic and friendly style, David Silverman acts as your stand-in supervisor in the seventh edition of this book, taking you step-by-step through different methods for making sense of qualitative data. Whether you are interested in analysing visual images, interviews, focus groups or online data, this book provides a clear framework for using qualitative data to answer your research questions. The book provides: • A strong grounding in research design principles so you can embed best practice into your research project. • Diverse real-world examples so you can see how principles are applied in practice. • Coverage of new developments in qualitative research including working with online data. If you are new to qualitative research or conducting your first research project in the social sciences, this book gives you the practical grounding in qualitative methods you need to get started.Â

Objev podobné jako Interpreting Qualitative Data - David Silverman

Data Analysis with Python - Rituraj Dixit

An Absolute Beginner''s Guide to Learning Data Analysis Using Python, a Demanding Skill for TodayKey FeaturesHands-on learning experience of Python''s fundamentals.Covers various examples of how to code end-to-end data analysis with easy illustrations.An excellent starting point to begin your data analysis journey with Python programming.DescriptionIn an effort to provide content for beginners, the book Data Analysis with Python provides a concrete first step in learning data analysis. Written by a data professional with decades of experience, this book provides a solid foundation in data analysis and numerous data science processes. In doing so, readers become familiar with common Python libraries and straightforward scripting techniques.Python and many of its well-known data analysis libraries, such as Pandas, NumPy, and Matplotlib, are utilized throughout this book to carry out various operations typical of data analysis projects.Following an introduction to Python programming fundamentals, the book combines well-known numerical calculation and statistical libraries to demonstrate the fundamentals of programming, accompanied by many practical examples. This book provides a solid groundwork for data analysis by teaching Python programming as well as Python''s built-in data analysis capabilities.What you will learnLearn the fundamentals of core Python programming for data analysis.Master Python''s most demanding data analysis and visualization libraries, ... Unknown localization key: "more"

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Interactive Visual Data Analysis - Christian Tominski, Heidrun Schumann

In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data.The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways. Addressing today’s large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis. The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis.The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make the book ... Unknown localization key: "more"

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Data Visualisation in Qualitative Research - Maria Lorono-Leturiondo

Learn to meet your day-to-day needs in creating data visualisation, without needing a qualification in graphic design or computational science.The 8-step guide aids you in creating simple data visualisations that clearly communicates your qualitative data. The author:• Draws on real-world data to inform your own representations of data• Provides easy to replicate examples to help you learn by doing • Compares case studies from around the world • Features advice from experts across the social sciences, and related industries.Whether you are taking a course, or just one lecture, this is the ideal companion to help you transform your data visualisation.Â

Objev podobné jako Data Visualisation in Qualitative Research - Maria Lorono-Leturiondo

Qualitative Research - Sharan B. Merriam, Elizabeth J. Tisdell, Heather L. Stuckey-Peyrot

The essential guide to understanding, designing, conducting, and presenting a qualitative research study Qualitative Research: A Guide to Design and Implementation, 5th Edition is filled with practical advice and proven guidance for designing and implementing qualitative research studies, and for communicating findings clearly and effectively. Readers will develop a strong foundation in qualitative research theory and application, including an understanding of data sources, data analysis tools, and the types of qualitative research. This revised Fifth Edition offers an expanded interdisciplinary focus, covering qualitative research in the medical and health professions, the social sciences, education, and the humanities. It also covers new tools and technologies—including discussion of AI in qualitative research—that facilitate the process of conducting, analyzing, and presenting research. Written in reader-friendly terms, Qualitative Research is accessible to both novice and experienced researchers. Discover the theories, techniques, and analysis methods that make for rigorous qualitative studiesConsider issues related to online data collection, interpretation of results, and qualitative research ethicsLearn to develop a strong theoretical framework to guide qualitative studiesDiscover how qualitative research is used in many fields, including healthcare Qualitative Research: A Guide to Design and Implementation is an indispensable reference for students and researchers looking to grow their knowledge ... Unknown localization key: "more"

Objev podobné jako Qualitative Research - Sharan B. Merriam, Elizabeth J. Tisdell, Heather L. Stuckey-Peyrot

An Introduction to Categorical Data Analysis - Alan Agresti

A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the ... Unknown localization key: "more"

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Multivariate Data Analysis - Barry Babin, Joseph Hair, William ) Black, Rolph Anderson

For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational in today’s world of analytics. Multivariate Data Analysis serves as the perfect companion for graduate and postgraduate students undertaking statistical analysis for business degrees, providing an application-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques.

Objev podobné jako Multivariate Data Analysis - Barry Babin, Joseph Hair, William ) Black, Rolph Anderson

R for Data Analysis in easy steps - Mike McGrath

The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in recent years. The emerging Internet of Things (IoT) gathers increasing amounts of data that can be analyzed to gain useful insights into trends.R for Data Analysis in easy steps, 2nd edition has an easy-to-follow style that will appeal to anyone who wants to produce graphic visualizations to gain insights from gathered data. The book begins by explaining core programming principles of the R programming language, which stores data in “vectors” from which simple graphs can be plotted. Next, it describes how to create “matrices” to store and manipulate data from which graphs can be plotted to provide better insights. This book then demonstrates how to create “data frames” from imported data sets, and how to employ the “Grammar of Graphics” to produce advanced visualizations that can best illustrate useful insights from your data.R for Data Analysis in easy steps, 2nd edition contains separate chapters on the major features of the R programming language. There are complete example programs that demonstrate how to create Line graphs, Bar charts, Histograms, Scatter graphs, Box plots, and more. The code for each ... Unknown localization key: "more"

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Doing Good Qualitative Research

In Doing Good Qualitative Research, Jennifer Cyr and Sara Wallace Goodman bring together over forty experts to provide one of the first comprehensive introductions to using qualitative methods across the social sciences. From concept formation and case selection to fieldwork, analysis, write-up, and publication, this volume provides accessible and practical advice to completing a qualitative research project. In addition to the basics of practicing qualitative research, chapters also discuss rarely covered but important topics, including fieldwork and mental health, interviewing vulnerable populations, fieldwork in violent contexts, and conducting fieldwork as a minoritized scholar. Each chapter introduces the theoretical considerations and best practices involved in the application of qualitative data collection and analysis. Additionally, contributors provide first-person accounts of methodology in action, address the expected and unexpected challenges associated with conducting qualitative research, and demonstrate the real-world applications of academic debates. Doing Good Qualitative Research is an engaging one-stop primer for both scholars and students carrying out qualitative research-based projects, from start to finish.

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Qualitative Research Methods - Pranee Liamputtong

Qualitative Research Methods, fifth edition, is one of the few texts on qualitative research methods written and published in Australia. This multidisciplinary text is written simply and provides an accessible and practical guide to conducting and analysing qualitative data effectively for undergraduate and postgraduate students entering people-facing professions. It agrees with the ideology that in order to understand people''s behaviour, we must first attempt to understand the meanings and interpretations that people give to that behaviour. The content and pedagogical approach introduces students to an updated overview of the research process and helps them navigate through the practical ways of carrying out qualitative research methods: from writing a qualitative research proposal to the application of qualitative enquiry across different groups of individuals. Qualitative Research Methods continues to be an easy to read, solid foundation for students in a variety of disciplines and ensures they are well prepared to conduct qualitative research across real-world projects.

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Qualitative Research - Nicole Mittenfelner Carl, Sharon M. Ravitch

The second edition of Qualitative Research focuses on cultivating and bridging theoretical, methodological, and conceptual aspects to provide insight into their interactions in qualitative research. This comprehensive text helps students understand the central concepts, topics, and skills necessary to engage in rigorous, valid, and respectful qualitative research. Authors Sharon M. Ravitch and Nicole Mittenfelner Carl have written this text with student researchers in mind, balancing communicating the foundations and processes of qualitative research with clarity and simplicity while also capturing its complexity and layers. Whether students are new to qualitative research or not, this book will help students develop and deepen their understanding of an approach to research that seeks, designs for, and engages criticality in research. The new edition of this book includes a more prominently-placed and expanded discussion of research ethics as crucial to students′ inquiry, more information on reflexivity in data collection and individual methods for qualitative data collection, a more in-depth chapter on coding and other types of qualitative data analysis, and more thorough resource sections including connections to the extensive appendices so students can further their qualitative research journey. Included with this title: The password-protected Instructor Resource Site (formally known as SAGE Edge) offers access ... Unknown localization key: "more"

Objev podobné jako Qualitative Research - Nicole Mittenfelner Carl, Sharon M. Ravitch

Python for Data Analysis 3e - Wes McKinney

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples

Objev podobné jako Python for Data Analysis 3e - Wes McKinney

Applied Data Analysis for Urban Planning and Management

This book showcases the different ways in which contemporary forms of data analysis are being used in urban planning and management. It highlights the emerging possibilities that city-regional governance, technology and data have for better planning and urban management - and discusses how you can apply them to your research. Including perspectives from across the globe, it’s packed with examples of good practice and helps to demystify the process of using big and open data. Learn about different kinds of emergent data sources and how they are processed, visualised and presented. Understand how spatial analysis and GIS are used in city planning. See examples of how contemporary data analytics methods are being applied in a variety of contexts, such as ‘smart’ city management and megacities. Aimed at upper undergraduate and postgraduate students studying spatial analysis and planning, this timely text is the perfect companion to enable you to apply data analytics approaches in your research.

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Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365) - Wayne Winston

Master business modeling and analysis techniques with Microsoft Excel and transform data into bottom-line results. Award-winning educator Wayne Winston''s hands-on, scenario-focused guide helps you use today''s Excel to ask the right questions and get accurate, actionable answers. More extensively updated than any previous edition, new coverage ranges from one-click data analysis to STOCKHISTORY, dynamic arrays to Power Query, and includes six new chapters. Practice with over 900 problems, many based on real challenges faced by working analysts. Solve real problems with Microsoft Excel—and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Use recent Power Query enhancements to connect, combine, and transform data sources more effectively Use the LAMBDA and LAMBDA helper functions to create Custom Functions without VBA Use New Data Types to import data including stock prices, weather, information on geographic areas, universities, movies, and music Build more sophisticated and compelling charts Use the new XLOOKUP function to revolutionize your lookup formulas Master new Dynamic Array formulas that allow you to sort and filter data with formulas and find all UNIQUE entries Illuminate insights from geographic and temporal data with 3D Maps Improve decision-making with probability, Bayes'' theorem, and Monte Carlo simulation and scenarios Use ... Unknown localization key: "more"

Objev podobné jako Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365) - Wayne Winston

An Introduction to Secondary Data Analysis with IBM SPSS Statistics - John MacInnes

Many professional, high-quality surveys collect data on people′s behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and ′clean′ secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you′ll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book′s companion website give you an opportunity to practice, check your understanding and work hands on with real data as you′re learning.

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Bioimage Data Analysis Workflows

This Open Access textbook provides students and researchers in the life sciences with essential practical information on how to quantitatively analyze data images. It refrains from focusing on theory, and instead uses practical examples and step-by step protocols to familiarize readers with the most commonly used image processing and analysis platforms such as ImageJ, MatLab and Python. Besides gaining knowhow on algorithm usage, readers will learn how to create an analysis pipeline by scripting language; these skills are important in order to document reproducible image analysis workflows.The textbook is chiefly intended for advanced undergraduates in the life sciences and biomedicine without a theoretical background in data analysis, as well as for postdocs, staff scientists and faculty members who need to perform regular quantitative analyses of microscopy images.

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An Introduction to Statistics and Data Analysis Using Stata® - Lisa Daniels, Nicholas W. Minot

The Second Edition of An Introduction to Statistics and Data Analysis Using Stata®: From Research Design to Final Report provides an integrated approach to methods, statistics, data analysis, and interpretation of results. The book features examples from social science research and news articles along with concise descriptions of statistics, allowing readers to understand the context of data analysis while also learning to communicate the results.

Objev podobné jako An Introduction to Statistics and Data Analysis Using Stata® - Lisa Daniels, Nicholas W. Minot

Qualitative Research in Business and Management - Michael D Myers

This accessible, comprehensive yet remarkably concise textbook is designed to help students and researchers in business and management with their research project. It covers key qualitative research methods, data collection techniques and explores how to analyse qualitative data, before providing invaluable advice on how to write up your research and get published. Now in its fourth edition, Qualitative Research in Business and Management has been updated to reflect the growing popularity of online research and secondary data collection, with new content on AI, the digitalization of qualitative research and virtual fieldwork. Michael D. Myers is Professor of Information Systems in the Department of Information Systems and Operations Management at the University of Auckland Business School, Auckland, New Zealand.

Objev podobné jako Qualitative Research in Business and Management - Michael D Myers

Geographical Data Science and Spatial Data Analysis - Chris Brunsdon, Lex Comber

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-where – and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges.Whilst other books describe different flavours of Data Analytics in R and other programming languages, there are none that consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and Spatial Analytics. This is a ‘learning by doing’ textbook, building on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping. It details the theoretical issues in analyses of Big Spatial Data and developing practical skills in the reader for addressing these with confidence.

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A Practical Guide to Data Analysis - Andrew Jones, Christiansen

Using statistics to analyse research data can be tricky when you are getting started. This book shows you how to effectively conduct statistical analysis in both R and SPSS without getting overwhelmed by complex theories and formulas.It is a practical manual that uses worked examples to help you get to grips with running statistical tests using commonly used software. Straightforward and clear, it assumes no prior knowledge and calmly takes you from reading the first page to completing your own analysis.It also: Covers all the statistics you need to know to pass your exam and do well at coursework Presents varied, adaptable solutions to common problems. Embeds road-tested best practice into every stage of your analysis. Provides you with programming skills that boost your employability.  Gives any essential theory in a simple, easy to follow, manner Helps to bridge the gap between using SPSS and R (or vice versa)If you want to strengthen your grasp of statistics, overcome statistics anxiety or just pass your course - this is the guide for you.Â

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Video Data Analysis - Anne Nassauer, Nicolas Legewie

Nominated for the Ludwik Fleck Prize - awarded annually to an exemplary book in Science and Technology Studies that contributes to the global STS community Nominated for the Robert K. Merton Book Award - this is awarded annually in recognition of an outstanding book on science, knowledge, and/or technology.  Video data is transforming the possibilities of social science research. Whether through mobile phone footage, body-worn cameras or public video surveillance, we have access to an ever-expanding pool of data on real-life situations and interactions. This book provides a flexible framework for working with video data and understanding what it says about social life. With examples from a range of real video research projects, the book showcases step-by-step how to analyse any kind of data, including both found and generated videos. It also includes a non-technical discussion of computer vision and its opportunities for social science research. With this book you will be able to: ·      Complete each step of the research process fully and efficiently, from data collection to management, analysis, and interpretation ·      Use video data in an ethical and effective way to maximise its impact ·  ... Unknown localization key: "more"

Objev podobné jako Video Data Analysis - Anne Nassauer, Nicolas Legewie

Introduction to Statistics and Data Analysis - Christina Olséni, Roxy Peck

Peck and Olsen’s INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 7th Edition helps you develop the ability to think statistically through its focus on conceptual understanding, use of real data and interpretation and communication of statistical information. Graphical displays of complex data sets are now common both online and in print media, and it is important to be able to interpret these types of displays. The 7th edition contains a new section on graphical displays of multivariable data, with a focus on extracting information and learning from them. WebAssign for Statistics accompanies this text. Designed by educators, WebAssign helps you learn not just do homework. WebAssign grants access to the ebook, assessments and analytics to enable you to be a self-sufficient learner and help you succeed in your course.

Objev podobné jako Introduction to Statistics and Data Analysis - Christina Olséni, Roxy Peck

The Coding Manual for Qualitative Researchers - Johnny Saldana

Unlock the full potential of your qualitative research projects with this invaluable manual from world-renowned authority Johnny Saldaña. This essential guide delves into the latest advancements in coding, including the integration of AI tools like ChatGPT-4, empowering researchers to enhance their data analysis processes and outcomes.This clearly updated edition offers:· Comprehensive Coverage: Explore over 35 coding methods, complete with datasets, software screenshots, and multidisciplinary academic references.· Global Appeal: Designed for an international readership, with inclusive data and real-world examples.· Practical Guidance: Clear, academically grounded advice that bridges the gap between data generation and analysis, ensuring credibility and trustworthiness.· Modern Relevance: Facilitates both manual and online coding, with detailed insights into CAQDAS and digital data handling.Ideal for students, researchers, and professionals in education, the social sciences, and beyond, this manual with its’ accompanying online resources is your go-to reference for mastering qualitative coding and data analysis in the AI era.

Objev podobné jako The Coding Manual for Qualitative Researchers - Johnny Saldana

Qualitative Research as Stepwise-Deductive Induction - Aksel Tjora

This book provides thorough guidance on various forms of data generation and analysis, presenting a model for the research process in which detailed data analysis and generalization through the development of concepts are central. Based on an inductive principle, which begins with raw data and moves towards concepts or theories through incremental deductive feedback loops, the ‘stepwise-deductive induction’ approach advanced by the author focuses on the analysis phase in research. Concentrating on creativity, structuring of analytical work, and collaborative development of generic knowledge, it seeks to enable researchers to extend their insight of a subject area without having personally to study all the data generated throughout a project. A constructive alternative to Grounded Theory, the approach advanced here is centred on qualitative research that aims at developing concepts, models, or theories on basis of a gradual paradigm to reduce complexity. As such, it will appeal to scholars and students across the social sciences with interests in methods and the analysis of qualitative data of various kinds.

Objev podobné jako Qualitative Research as Stepwise-Deductive Induction - Aksel Tjora

Noise and Vibration Analysis - Anders Brandt

NOISE AND VIBRATION ANALYSIS Complete guide to signal processing and modal analysis theory, with coverage of practical applications and a plethora of learning tools Featuring numerous line diagrams and illustrations, the newly revised and updated Second Edition of Noise and Vibration Analysis is a comprehensive and practical guide that combines both signal processing and modal analysis theory with their practical application in noise and vibration analysis. This new edition has been updated with three new chapters covering experimental modal analysis, operational modal analysis, and practical vibration measurements. Taking a practical learning approach, the text includes exercises that allow the content to be developed in an academic course framework or as supplementary material for private and further study, including multiple choice questions at the end of each chapter. An accompanying website hosts a MATLAB® toolbox, additional problems and examples, and videos. Written by a highly qualified author with significant experience in the field, Noise and Vibration Analysis covers topics such as: Dynamic signals and systems, covering periodic, random, and transient signals, RMS value and power, and the Continuous Fourier TransformTime data analysis, covering the sampling theorem, analog, digital, smoothing, and acoustic octave filters, time data differentiation, and FFT-based processingStatistics and random ... Unknown localization key: "more"

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Leading Intelligence Analysis - Bruce E. Pease

"Bruce Pease has written a much needed book on a long ignored topic: how does one lead analysts? Most analysis is at some level a group activity, whether in government or the private sector. Much has been written about good versus bad analysis and how to train analysts, but Pease, himself a veteran senior CIA analyst and manager, focuses on what the leaders of these analysts need to know and should be thinking about. Leadership matters in analysis as in all other endeavors, and Pease offers invaluable guidance on how to lead effectively. This book is a must for anyone in a leadership role in an analytic enterprise." —Mark M. Lowenthal, PhD, Intelligence & Security Academy, LLC Written by an experienced professional who has led Navy Intelligence and CIA analysts in high-stakes situations, Leading Intelligence Analysis introduces the fundamental managerial skills and practical tools needed to lead analysis projects conducted by individuals and teams. Author Bruce Pease provides insights into key questions such as What kind of environment draws out a team’s best work? What brings out their creativity? When does pressure bring out their best insights? When does pressure sap their intellectual energy? and What kind of team builds ... Unknown localization key: "more"

Objev podobné jako Leading Intelligence Analysis - Bruce E. Pease

Expanding Approaches to Thematic Analysis

Expanding Approaches to Thematic Analysis: Creative Engagements with Qualitative Data springboards readers into a world where generating themes from qualitative data is a creative, experimental, and wondrous process!While no one ever said it had to be, thematic analysis is invariably described as a step-by-step process that involves coding. Yet qualitative data analysis is more than a technical procedure—it invokes imagination and inspiration—intuitional engagements that are as vital to the data analysis process as they are difficult to describe. This edited book begins with two premises: (1) there is more than one way to theme data, and (2) qualitative researchers do not have to code to get to themes. Each chapter introduces readers to a different approach to thematic analysis, explores that approach’s theoretical and disciplinary roots, and illustrates how that approach can be used to generate themes. Approaches include annotating, memoing, storying, writing, composing poems, artmaking, meditating, and more, expanding conceptualizations of what themes and thematic analysis can be. The book also includes ‘methodologies in action’: helpful examples of creative theming from doctoral students and early career scholars.This book is as much a provocation for engaging thematic analysis beyond/without/in addition to coding as it is a resource for anyone interested ... Unknown localization key: "more"

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Applied Plant Science Experimental Design and Statistical Analysis Using SAS® OnDemand for Academics - Associate Professor Edward Durner

The correct design, analysis and interpretation of plant science experiments is imperative for continued improvements in agricultural production worldwide. The enormous number of design and analysis options available for correctly implementing, analysing and interpreting research can be overwhelming. SAS® is the most widely used statistical software in the world and SAS® OnDemand for Academics is now freely available for academic institutions.This is a user-friendly guide to statistics using SAS® OnDemand for Academics, ideal for facilitating the design and analysis of plant science experiments. It presents the most frequently used statistical methods in an easy-to-follow and non-intimidating fashion, and teaches the appropriate use of SAS® within the context of plant science research. This book:- Covers experimental designs and data analysis protocols- Is presented as a how-to guide with many examples- Includes freely downloadable data sets- Examines key topics such as merging data frames, multivariate analysis and linear regressionAuthored by an experienced teacher of applied plant science statistics, this book assumes no prior background in statistics and guides users through the appropriate methodologies in research. It is an invaluable tool for advanced undergraduate and graduate students, in addition to researchers, extension consultants, faculty and technicians.

Objev podobné jako Applied Plant Science Experimental Design and Statistical Analysis Using SAS® OnDemand for Academics - Associate Professor Edward Durner

Ecology: The Experimental Analysis of Distribution and Abundance - Charles Krebs

Charles Krebs'' best-selling majors-level text approaches ecology as a series of problems that are best understood by evaluating empirical evidence through data analysis and application of quantitative reasoning. No other text presents analytical, quantitative, and statistical ecological information in an equally accessible style for students. Reflecting the way ecologists actually practice, the new edition emphasises the role of experiments in testing ecological ideas and discusses many contemporary and controversial problems related to distribution and abundance. Ecology: The Experimental Analysis of Distribution and Abundance, 6th Edition builds on a clear writing style, historical perspective, and emphasis on data analysis with an updated, reorganised discussion of key topics and two new chapters on climate change and animal behavior. Key concepts and key terms are now included at the beginning of each chapter to help students focus on what is most important within each chapter, mathematical analyses are broken down step by step in a new feature called “Working with the Data,” concepts are reinforced throughout the text with examples from the literature, and end-of-chapter questions and problems emphasise application.

Objev podobné jako Ecology: The Experimental Analysis of Distribution and Abundance - Charles Krebs

Political Analysis Using R - James E. Monogan III

This book provides a narrative of how R can be useful in the analysis of public administration, public policy, and political science data specifically, in addition to the social sciences more broadly. It can serve as a textbook and reference manual for students and independent researchers who wish to use R for the first time or broaden their skill set with the program. While the book uses data drawn from political science, public administration, and policy analyses, it is written so that students and researchers in other fields should find it accessible and useful as well. By the end of the first seven chapters, an entry-level user should be well acquainted with how to use R as a traditional econometric software program. The remaining four chapters will begin to introduce the user to advanced techniques that R offers but many other programs do not make available such as how to use contributed libraries or write programs in R. The book details how to perform nearly every task routinely associated with statistical modeling: descriptive statistics, basic inferences, estimating common models, and conducting regression diagnostics. For the intermediate or advanced reader, the book aims to open up the wide array of sophisticated ... Unknown localization key: "more"

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Direction Dependence Analysis - Alexander von Eye, Wolfgang Wiedermann

While regression analysis is widely understood, it falls short in determining the causal direction of relationships in observational data. In this groundbreaking volume, Wiedermann and von Eye introduce Direction Dependence Analysis (DDA), a novel method that leverages variable information often overlooked by traditional techniques, such as higher-order moments like skewness and kurtosis. DDA reveals the asymmetry properties of regression and correlation, enabling researchers to evaluate competing causal hypotheses, assess the roles of variables in causal flows, and develop statistical methods for testing causal direction. This book provides a comprehensive formal description of DDA, illustrated with both artificial and real-world data examples. Additionally, readers will find free software implementations of DDA, making this an essential resource for researchers seeking to enhance their understanding of causal relationships in data analysis.

Objev podobné jako Direction Dependence Analysis - Alexander von Eye, Wolfgang Wiedermann

Market Research and Analysis - MARCUS GONCALVES

This book provides a comprehensive discussion of market research and analysis, covering key concepts, process descriptions, qualitative and quantitative techniques for market research and data analysis, and application scenarios. Although it is not an academic textbook, it is geared toward business management professionals and graduate students who want to enhance their skills in addressing management decision problems (MDP) and test them for statistical significance. Readers will appreciate the breadth and depth of this subject, market research techniques, and how they are relevant to the business enterprise, whether it is a startup entrepreneurship or an established business organization. This book guides readers on how to conduct market research and solve business challenges. The structure of the book is based on the six steps of the market research process: problem definition, development of an approach to the problem, research design formulation, fieldwork and data collection, data preparation, qualitative and quantitative analysis, statistical test of significance of results, report preparation, and presentation.

Objev podobné jako Market Research and Analysis - MARCUS GONCALVES

Quantitative Text Analysis Using R - Anna Wohlmann, Julian Bernauer

Grounded in examples from across the social sciences, this book walks you through the process of doing quantitative text analysis step by step. Clear and accessible, it empowers you to progress from beginner level to understanding and using computational social science concepts with ease. Covering key steps in the research process like ethics, data collection, and model choice, it helps you develop important research skills – and equips you with the programming tools you need to handle text data without error.The textbook offers R software guidance at an easy-to-follow pace, the book presents the coding skills you need to collect and prepare data, providing a strong foundation as you move into data analysis. It will:·    Help you develop key data skills like cleaning, managing, classifying and visualizing data·    Encourage your ability to be critical and reflective when dealing with data·    Offer clear guidance on using messy, real-world data and big data from sources like WikipediaSupported by practical online resources including extensive coding examples and software guidance, this book will give you confidence in applying your programming skills and enable you to take control of handling textual data in your own research.Â

Objev podobné jako Quantitative Text Analysis Using R - Anna Wohlmann, Julian Bernauer

THULE Montážní Kit 5028 pro patky Evo Clamp TH7105 (TH5028)

Montážní kit THULE 5028 je příslušenství určené pro bezpečné připevnění střešního nosiče na vozidlo. Je kompatibilní s patkami THULE Evo Clamp TH7105 a vybranými modely vozidel, jako je Renault Espace 5-dr MPV. Zajišťuje správnou a bezpečnou instalaci nosiče.

  • Zajišťuje maximální bezpečnost a správnost uchycení střešního nosiče.
  • Plně kompatibilní s patkami THULE Evo Clamp TH7105.
  • Originální příslušenství Thule pro dlouhou životnost a spolehlivost.
  • Jednoduchá montáž pro bezpečné připevnění nosiče na střechu vozidla.

Objev podobné jako THULE Montážní Kit 5028 pro patky Evo Clamp TH7105 (TH5028)

Člověče, nezlob se! Pat a Mat 2 v 1

Desková hra Člověče, nezlob se! s motivem Pat a Mat obsahuje dvě herní varianty. První je zjednodušená verze s obrázkovou kostkou pro nejmenší děti, druhá je klasická číselná varianta. Hra je určena pro děti od 3 let a má rozměry 33 × 23 × 3 cm.

  • Dvě herní varianty v jedné krabici
  • Zjednodušená verze s obrázkovou kostkou pro malé děti
  • Kvalitní provedení s oblíbeným motivem Pat a Mat
  • Vhodné pro děti již od 3 let věku

Objev podobné jako Člověče, nezlob se! Pat a Mat 2 v 1

Tontarelli Koš na tříděný odpad Patty 2, 13 + 8 l, bílá

Koš Patty 2 od Tontarelli je určen pro tříděný odpad a obsahuje dvě nádoby o objemu 13 a 8 litrů. Pedál umožňuje otevření víka jedné z nádob. Koš lze používat se sáčky na odpadky nebo bez nich.

  • Dvě oddělené nádoby pro snadné třídění odpadu
  • Pedál pro pohodlné otevření víka
  • Možnost použití se sáčkem i bez sáčku
  • Kompaktní design vhodný do každé domácnosti

Objev podobné jako Tontarelli Koš na tříděný odpad Patty 2, 13 + 8 l, bílá

Storage Solutions Kuchyňský kovový vozík 3 patra 44 x 31,5 x 79,5 cm, bílá

Kuchyňský kovový vozík se třemi patry poskytuje univerzální úložný prostor pro domácnost. Má rozměry 44 × 31,5 × 79,5 cm, pevnou konstrukci a hmotnost 2,7 kg pro snadnou manipulaci. Vybaven je čtyřmi otočnými kolečky a koši s vysokými okraji.

  • Víceúčelový úložný prostor na třech patrech
  • Pevná kovová konstrukce v elegantní bílé barvě
  • Snadné přesouvání díky čtyřem otočným kolečkům
  • Koše s vysokými okraji pro bezpečné uložení

Objev podobné jako Storage Solutions Kuchyňský kovový vozík 3 patra 44 x 31,5 x 79,5 cm, bílá

Storage Solutions Kuchyňský kovový vozík 3 patra 44 x 31,5 x 79,5 cm, černá

Kovový vozík se třemi patry o rozměrech 44 × 31,5 × 79,5 cm poskytuje víceúčelový úložný prostor. Konstrukce z pevného kovu s otočnými kolečky umožňuje snadné přesouvání. Vysoké okraje košů zabraňují vypadávání uložených předmětů.

  • Tři prostorné patra s vysokými okraji pro bezpečné uložení
  • Pevná kovová konstrukce s hmotností 2,7 kg pro lehkou manipulaci
  • Čtyři otočná kolečka pro snadné přesouvání
  • Univerzální černé provedení vhodné do různých místností

Objev podobné jako Storage Solutions Kuchyňský kovový vozík 3 patra 44 x 31,5 x 79,5 cm, černá