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Understanding Quantitative Data in Educational Research
Understanding Quantitative Data in Educational Research
Knygos.lt klubas Knygos.lt nariams
228,54 €
-30%
Įprastai
326,49 €
  • Išsiųsime per 12–18 d.d.
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 an…
  • Leidėjas:
  • ISBN-10: 1473982146
  • ISBN-13: 9781473982147
  • Formatas: 19.1 x 23.5 x 2.2 cm, kieti viršeliai
  • Kalba: Anglų

Understanding Quantitative Data in Educational Research (el. knyga) (skaityta knyga) | knygos.lt

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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.

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  • Leidėjas:
  • ISBN-10: 1473982146
  • ISBN-13: 9781473982147
  • Formatas: 19.1 x 23.5 x 2.2 cm, kieti viršeliai
  • Kalba: Anglų

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.

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