Taking the Fear Out of Data Analysis: Completely Revised, Significantly Extended and Still Fun

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

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.

Author(s): Diamantopoulos, Adamatios; Schlegemilch, Bodo B.; Halkias, Georgios
Edition: 2
Publisher: EE ELGAR
Year: 2023

Language: English
Commentary: quantitative data analysis effectively, Statistics
Pages: 347
Tags: quantitative data analysis effectively, Statistics

Front Matter
Copyright
Contents in brief
Full Contents
To the reader
Instead of a preface
About the authors
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