Computer Programs for Qualitative Data Analysis PDF Download
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Author: Eben Weitzman
Publisher: SAGE
ISBN: 0803955375
Category : Social Science
Languages : en
Pages : 383
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Book Description
Written by qualitative researchers for qualitative researchers, and not presuming extensive computer experience, this user-friendly guide takes a critical look at the wide range of software currently available. The book gives detailed reviews of 24 programs in five major categories: text retrievers, textbase managers, code-and-retrieve programs, code-based theory-builders and conceptual network-builders. In addition, the book provides ratings of over 75 features per program. The authors also offer detailed guidance on the operation of each program, helping the reader to ask key questions about the use of the computer - the nature of the project being undertaken, what time-line analyses are planned and what worksheets are re
Author: Eben Weitzman
Publisher: SAGE
ISBN: 0803955375
Category : Social Science
Languages : en
Pages : 383
Get Book Here
Book Description
Written by qualitative researchers for qualitative researchers, and not presuming extensive computer experience, this user-friendly guide takes a critical look at the wide range of software currently available. The book gives detailed reviews of 24 programs in five major categories: text retrievers, textbase managers, code-and-retrieve programs, code-based theory-builders and conceptual network-builders. In addition, the book provides ratings of over 75 features per program. The authors also offer detailed guidance on the operation of each program, helping the reader to ask key questions about the use of the computer - the nature of the project being undertaken, what time-line analyses are planned and what worksheets are re
Author: Satyaprakash Sethy
Publisher: Bluerose Publishers
ISBN: 9393809607
Category : Computers
Languages : en
Pages : 234
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Book Description
Information Technology that refers to the convergence of computer, communication and content technologies plays catalytic role in emergence of new socio-economic applications. Need of introducing Data Analysis and Computer Application as SEC Paper to all the undergraduate students. It was needed to build problem-solving skills among the students just before they enter the professional courses. And this book has been published as per the CBCS Syllabus. The purpose of this course is to introduce basic computer skills to students at UG level in non technical subjects. After completion of this course, the students are expected to acquire some basic knowledge about computers and to develop some basic skills in using computers for data storage, compilation, analysis and presentations.
Author: Allen Webster
Publisher: Routledge
ISBN: 1136593098
Category : Business & Economics
Languages : en
Pages : 488
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Book Description
Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues. Every day, decision-makers face problems that require constructive actions with significant consequences, and regression procedures can prove a meaningful and valuable asset in the decision-making process. This text is designed to help students achieve a full understanding of regression and the many ways it can be used. Taking into consideration current statistical technology, Introductory Regression Analysis focuses on the use and interpretation of software, while also demonstrating the logic, reasoning, and calculations that lie behind any statistical analysis. Furthermore, the text emphasizes the application of regression tools to real-life business concerns. This multilayered, yet pragmatic approach fully equips students to derive the benefit and meaning of a regression analysis. This text is designed to serve in a second undergraduate course in statistics, focusing on regression and its component features. The material presented in this text will build from a foundation of the principles of data analysis. Although previous exposure to statistical concepts would prove helpful, all the material needed for an examination of regression analysis is presented here in a clear and complete form.
Author: John Chambers
Publisher: Springer Science & Business Media
ISBN: 0387759360
Category : Computers
Languages : en
Pages : 515
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Book Description
John Chambers turns his attention to R, the enormously successful open-source system based on the S language. His book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated. This is the only advanced programming book on R, written by the author of the S language from which R evolved.
Author: Martin Theus
Publisher: CRC Press
ISBN: 1420011065
Category : Computers
Languages : en
Pages : 293
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Book Description
Interactive Graphics for Data Analysis: Principles and Examples discusses exploratory data analysis (EDA) and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from datasets.Fundamentals of Interactive Statistical GraphicsThe first part of the book summarizes principles and methodology, demons
Author: Domenico Talia
Publisher: Elsevier
ISBN: 0128029145
Category : Computers
Languages : en
Pages : 152
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Book Description
Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud. Coverage includes scalable data mining and knowledge discovery techniques together with cloud computing concepts, models, and systems. Specific sections focus on map-reduce and NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book examines research trends such as Big Data pervasive computing, data-intensive exascale computing, and massive social network analysis. - Introduces data analysis techniques and cloud computing concepts - Describes cloud-based models and systems for Big Data analytics - Provides examples of the state-of-the-art in cloud data analysis - Explains how to develop large-scale data mining applications on clouds - Outlines the main research trends in the area of scalable Big Data analysis
Author: Nigel Fielding
Publisher: SAGE
ISBN: 9780803974838
Category : Reference
Languages : en
Pages : 218
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Book Description
This work is intended for researchers, academics and students across the social sciences.
Author: J.P. Verma
Publisher: Springer Science & Business Media
ISBN: 8132207866
Category : Social Science
Languages : en
Pages : 499
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Book Description
This book provides readers with a greater understanding of a variety of statistical techniques along with the procedure to use the most popular statistical software package SPSS. It strengthens the intuitive understanding of the material, thereby increasing the ability to successfully analyze data in the future. The book provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of research problems. This book focuses on providing readers with the knowledge and skills needed to carry out research in management, humanities, social and behavioural sciences by using SPSS.
Author: Udo Kelle
Publisher: SAGE Publications Limited
ISBN:
Category : Reference
Languages : en
Pages : 248
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Book Description
Methodological and theoretical issues involved in using computers in qualitative research are examined in this guide. Strategies for computer-assisted qualitative analysis include the discussion of networks of categories; the means of evaluation; and ways of combining analysis techniques.
Author: Rafael A. Irizarry
Publisher: CRC Press
ISBN: 1498775861
Category : Mathematics
Languages : en
Pages : 537
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Book Description
This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.
