Understanding Quantitative Data in Educational Research.

Format:

Book

Author/Creator:

Gaciu, Nicoleta.

Language:

English

Subjects (All):

Quantitative research--Methodology.

Quantitative research.

Education--Research--Methodology.

Education.

Physical Description:

1 online resource (376 p.)

Edition:

1st ed.

Place of Publication:

London : SAGE Publications, Limited, 2021.

Summary:

This book is designed to help Education students gain confidence in analysing and interpreting quantitative data and using appropriate statistical tests, by exploring, in plain language, a variety of data analysis methods.Highly practical, each chapter includes step-by-step instructions on how to run specific statistical tests using R, practical tips on how to interpret results correctly and exercises to put into practice what students have learned.It also includes guidance on how to use R and RStudio, how to visualise quantitative data, and the fundamentals of inferential statistics, estimations and hypothesis testing.Nicoleta Gaciu is Senior Lecturer in Education at Oxford Brookes University.

Contents:

UNDERSTANDING QUANTITATIVE DATA IN EDUCATIONAL RESEARCH - FRONT COVER

UNDERSTANDING QUANTITATIVE DATA IN EDUCATIONAL RESEARCH

COPYRIGHT

CONTENTS

ABOUT THE AUTHOR

ABOUT THE ONLINE RESOURCES

ACKNOWLEDGEMENTS

INTRODUCTION

PART ONE - UNDERSTANDING QUANTITATIVE DATA AND R

CHAPTER 1 - INTRODUCTION TO INFORMATION, KNOWLEDGE AND QUANTITATIVE DATA

CHAPTER 2 - AN INTRODUCTION TO R AND RSTUDIO

PART TWO - DATA VISUALISATION

CHAPTER 3 - GRAPHICAL REPRESENTATION OF DATA

PART THREE - PROVIDING INFORMATION ABOUT DATA

CHAPTER 4 - DESCRIPTIVE STATISTICS

CHAPTER 5 - MEASURES OF DISPERSION AND DISTRIBUTIONS

CHAPTER 6 - NORMAL DISTRIBUTION AND STANDARDISED SCORES

PART FOUR - MAKING ESTIMATIONS AND PREDICTIONS FROM DATA

CHAPTER 7 - FUNDAMENTALS OF INFERENTIAL STATISTICS

CHAPTER 8 - ESTIMATION AND HYPOTHESIS TESTING

PART FIVE - FROM SAMPLE TO POPULATION

CHAPTER 9 - ONE-SAMPLE TESTS

CHAPTER 10 - DIFFERENCES BETWEEN TWO INDEPENDENT OR DEPENDENT SAMPLES

CHAPTER 11 - DIFFERENCES BETWEEN MORE THAN TWO INDEPENDENT SAMPLES

CHAPTER 12 - DIFFERENCES BETWEEN MORE THAN TWO DEPENDENT SAMPLES

PART SIX - RELATIONSHIPS AND PREDICTIONS

CHAPTER 13 - RELATIONSHIPS BETWEEN VARIABLES

CHAPTER 14 - PREDICTIONS FOR INDEPENDENT AND DEPENDENT VARIABLES

BIBLIOGRAPHY

INDEX.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9781036211578

1036211576

9781529743937

1529743931

9781529743920

1529743923

OCLC:

1450102375