Understanding quantitative data in educational research / Nicoleta Gaciu.

Includes bibliographical references and index.

Part 1. Understanding quantitative data and R -- Introduction to information, knowledge and quantitative data -- An introduction to R and RStudio -- Part 2. Data visualization -- Graphical representation of data -- Part 3. Providing information about data -- Descriptive statistics -- Measures of dispersion and distributions -- Normal distribution and standardised scores -- Part 4. Making estimations and predictions from data -- Fundamentals of inferential statistics -- Estimation and hypothesis testing -- Part 5. From sample to population -- One-sample tests -- Differences between two independent or dependent samples -- Differences between more than two independent samples -- Differences between more than two dependent samples -- Part 6. Relationships and predictions -- Relationships between variables -- Predictions for independent and dependent variables.

"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." -- provided by publisher.