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Taking the Fear Out of Data Analysis Adamantios Diamantopoulos

Taking the Fear Out of Data Analysis von Adamantios Diamantopoulos

Taking the Fear Out of Data Analysis Adamantios Diamantopoulos

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Zusammenfassung

This work guides the reader through the process of data analysis and features hints and warnings. It should be of interest to those studying quantitative methods in all disciplines, in particular marketing, management, economics and psychology.

Taking the Fear Out of Data Analysis Zusammenfassung

Taking the Fear Out of Data Analysis: A Step-by-Step Approach Adamantios Diamantopoulos

This text is aimed at students who may not like statistics but who need to understand the subject in order to complete their course or gain employment. It is a comprehensive but digestible introduction to statistics, guiding the reader through the number crunching of data analysis without memorising formulae. It is designed to help students understand the theory of data analysis. The text is divided into three parts - understanding data, preparing data for analysis and carrying out analysis - which link the stages of the data analysis process. Examples are used throughout and hints and warnings emphasise key points. This text is suitable for all students studying quantitative methods.

Taking the Fear Out of Data Analysis Bewertungen

Introduction PART 1: UNDERSTANDING DATA 1. What is Data (And Should You Lose Any Sleep Over It)? 2. Does Sampling Have A Purpose Other than Providing Employment for Statisticians? 3. Why Should You be Concerned about Measurement and are Some Measures Better than Others? PART 2: PREPARING DATA FOR ANALYSIS 4. Have You Cleaned Your Data and Found the Mistakes You Made? 5. Do You Have Access to a Computer Package or Must You Employ A Computer Whiz-Kid? 6. Why Do You Need to Know Your Objective Before You Fail to Achieve It? 7. Why Not Take it Easy Initially and Describe Your Data? 8. Can You Use Few Numbers in Place of Many to Summarise Your Data? 9. What about Using Estimation to See What the Population Looks Like? PART 3: CARRYING OUT THE ANALYSIS 10. How about Sitting Back and Hypothesising? 11. Simple Things First: One Variable, One Sample 12. Getting Experienced: Making Comparisons 13. Getting Adventurous: Searching for Relationships PART 4: PRESENTING THE ANALYSIS 14. A Look into A Multivariate Future 15. It?s All Over, or Is It? Appendices Index

Über Adamantios Diamantopoulos

Dr Bodo Schlegelmilch is Chair of International Marketing Management at the Vienna University of Economics.

Inhaltsverzeichnis

Introduction. PART 1: UNDERSTANDING DATA. 1. What is Data (And Should You Lose Any Sleep Over It)? 2. Does Sampling Have A Purpose Other than Providing Employment for Statisticians? 3. Why Should You be Concerned about Measurement and are Some Measures Better than Others? PART 2: PREPARING DATA FOR ANALYSIS. 4. Have You Cleaned Your Data and Found the Mistakes You Made? 5. Do You Have Access to a Computer Package or Must You Employ A Computer Whiz-Kid? 6. Why Do You Need to Know Your Objective Before You Fail to Achieve It? 7. Why Not Take it Easy Initially and Describe Your Data? 8. Can You Use Few Numbers in Place of Many to Summarise Your Data? 9. What about Using Estimation to See What the Population Looks Like? PART 3: CARRYING OUT THE ANALYSIS. 10. How about Sitting Back and Hypothesising? 11. Simple Things First: One Variable, One Sample. 12. Getting Experienced: Making Comparisons. 13. Getting Adventurous: Searching for Relationships. PART 4: PRESENTING THE ANALYSIS. 14. A Look into A Multivariate Future. 15. Its All Over, or Is It? Appendices. Index.

Zusätzliche Informationen

GOR001573095
9781861524300
1861524307
Taking the Fear Out of Data Analysis: A Step-by-Step Approach Adamantios Diamantopoulos
Adamantios Diamantopoulos
Gebraucht - Sehr Gut
Broschiert
Cengage Learning EMEA
19970408
304
N/A
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