How to make sense of statistics / by Stephen Gorard.

Format:

Book

Author/Creator:

Gorard, Stephen, author.

Language:

English

Subjects (All):

Research Methods & Evaluation--Quantitative/Statistical Research--Research Methods.

Research Methods & Evaluation.

Physical Description:

1 online resource (320 pages)

Edition:

1st edition.

Core New Edition.

Place of Publication:

Thousand Oaks : SAGE Publications Ltd., 2021.

Summary:

In a new textbook designed for students new to statistics and social data, Stephen Gorard focuses on non-inferential statistics as a basis to ensure students have basic statistical literacy. Understanding why we have to learn statistics and seeing the links between the numbers and real life is a crucial starting point. Using engaging, friendly, approachable language this book will demystify numbers from the outset, explaining exactly how they can be used as tools to understand the relationships between variables. This text assumes no previous mathematical or statistical knowledge, taking the reader through each basic technique with step-by-step advice, worked examples, and exercises. Using non-inferential techniques, students learn the foundations that underpin all statistical analysis and will learn from the ground up how to produce theoretically and empirically informed statistical results.

Contents:

HOW TO MAKE SENSE OF STATISTICS - FRONT COVER

HOW TO MAKE SENSE OF STATISTICS

COPYRIGHT

CONTENTS

DETAILED CONTENTS

LIST OF FIGURES

LIST OF TABLES

ABOUT THE AUTHOR

PREFACE

ONLINE RESOURCES

PART I - INTRODUCTION

CHAPTER 1 - WHY WE USE NUMBERS IN RESEARCH

CHAPTER 2 - WHAT IS A NUMBER? ISSUES OF MEASUREMENT

PART II - BASIC ANALYSES

CHAPTER 3 - WORKING WITH ONE VARIABLE

CHAPTER 4 - WORKING WITH TABLES OF CATEGORICAL VARIABLES

CHAPTER 5 - EXAMINING DIFFERENCES BETWEEN REAL NUMBERS

CHAPTER 6 - SIGNIFICANCE TESTS: HOW TO CONDUCT THEM AND WHAT THEY DO NOT MEAN

CHAPTER 7 - SIGNIFICANCE TESTS: WHY WE SHOULD NOT REPORT THEM

PART III - ADVANCED ISSUES FOR ANALYSIS

CHAPTER 8 - THE ROLE OF JUDGEMENT IN ANALYSIS

CHAPTER 9 - RESEARCH DESIGNS

CHAPTER 10 - SAMPLING AND POPULATIONS

CHAPTER 11 - WHAT IS RANDOMNESS?

CHAPTER 12 - HANDLING MISSING DATA: THE IMPORTANCE OF WHAT WE DO NOT KNOW

CHAPTER 13 - HANDLING MISSING DATA: MORE COMPLEX ISSUES

CHAPTER 14 - ERRORS IN MEASUREMENTS

PART IV - MODELLING WITH DATA

CHAPTER 15 - CORRELATING TWO REAL NUMBERS

CHAPTER 16 - PREDICTING MEASUREMENTS USING SIMPLE LINEAR REGRESSION

CHAPTER 17 - PREDICTING MEASUREMENTS USING MULTIPLE LINEAR REGRESSION

CHAPTER 18 - ASSUMPTIONS AND LIMITATIONS IN REGRESSION

CHAPTER 19 - PREDICTING OUTCOMES USING LOGISTIC REGRESSION

CHAPTER 20 - DATA REDUCTION TECHNIQUES

PART V - CONCLUSION

CHAPTER 21 - PRESENTING DATA FOR YOUR AUDIENCE

GLOSSARY

REFERENCES

INDEX.

Notes:

Core Textbook.

Includes bibliographical references.

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Description based on publisher supplied metadata and other sources.

ISBN:

9781036212841

103621284X

9781529755879

1529755875

9781529755862

1529755867

OCLC:

1238579748

Publisher Number:

T256738