Taking the fear out of data analysis completely revised, significantly extended and still fun

"Taking the Fear Out of Data Analysis provides readers with the necessary knowledge and skills to understand, perform, and interpret quantitative data analysis effectively. Acknowledging that people often dislike statistics and quantitative methods, this book illustrates that statistical reason...

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Bibliographic Details
Main Authors: Diamantopoulos, Adamantios, Schlegelmilch, Bodo B. (Author), Halkias, Georgios (Author)
Format: eBook
Language:English
Published: Northampton Edward Elgar Publishing 2023, 2023
Subjects:
Online Access:
Collection: Edward Elgar eBooks Collection Business & Economics - Collection details see MPG.ReNa
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100 1 |a Diamantopoulos, Adamantios 
245 0 0 |a Taking the fear out of data analysis  |h Elektronische Ressource  |b completely revised, significantly extended and still fun  |c Adamantios Diamantopoulos (Professor of International Marketing, Department of Marketing and International Business, University of Vienna), Bodo B. Schlegelmilch (Professor of International Marketing Management, Department of Marketing, WU Vienna, Austria), and Georgios Halkias (Associate Professor of Marketing and Behavioral Research, Department of Marketing, Copenhagen Business School, Denmark) 
260 |a Northampton  |b Edward Elgar Publishing  |c 2023, 2023 
300 |a 346 pages 
505 0 |a Includes bibliographical references and index 
505 0 |a Contents: Pre-publication reviews from around the world -- Introduction to taking the fear out of data analysis -- Part I. Understanding data -- 1. What is data (and can you do it in your sleep)? -- 2. Does sampling have a purpose other than providing employment for statisticians? -- 3. Why should you be concerned about different types of measurement? -- Part II. Preparing data for analysis -- 4. Have you cleaned your data and found the mistakes you made? -- 5. Why do you need to know your objective before you fail to achieve it? -- Part III. Carrying out the analysis -- 6. Why not take it easy initially and describe your data? -- 7. Can you use few numbers in place of many to summarize your data? -- 8. What about using estimation to see what the population looks like? -- 9. How about sitting back and hypothesizing? -- 10. Simple things first: One variable, one sample -- 11. Getting experienced: Making comparisons -- 12. Getting adventurous: Searching for relationships -- 13. Getting hooked: A look into multivariate analysis -- 14. Getting obsessed: A further look into multivariate analysis -- 15. It's all over ... Or is it? -- Index 
653 |a Statistics / Data processing 
700 1 |a Schlegelmilch, Bodo B.  |e [author] 
700 1 |a Halkias, Georgios  |e [author] 
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520 |a "Taking the Fear Out of Data Analysis provides readers with the necessary knowledge and skills to understand, perform, and interpret quantitative data analysis effectively. Acknowledging that people often dislike statistics and quantitative methods, this book illustrates that statistical reasoning can be a fun and intuitive part of our lives. Key Features: - Split into three sections covering how to understand data, preparing data for analysis and carrying out the analysis - Blends theory with practical examples in a logical and straightforward manner to guide readers in making sense of statistical inference - Offers universal knowledge that can be applied to a variety of software applications with limited technical complexity to aid the learning process - Short and concise chapters focusing on the essence of the topics covered, such as analytical techniques that are typically used in behavioral and social science research Significantly revised and updated, this textbook is an essential text for both undergraduate and postgraduate students in fields such as information systems, international business and marketing. It will also be beneficial for practitioners involved in data science, data analytics, and market research"--