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Determining Sample Size and Power in Research Studies

A Manual for Researchers

Authors: Verma, J. P., Verma, Priyam

  • Discusses the procedure of computing sample size for a desired power, by fixing effect size and error rate(α) in different statistical tests
  • Examines the procedure in computing sample size in survey studies for desired accuracy in estimation and in hypothesis testing experiments for a desired effect size
  • Uses numerous screen shots of G*Power software usage to guide readers in determining sample size and power in their studies without using any mathematical formulation
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eBook £51.99
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  • The eBook version of this title will be available soon
  • Due: September 4, 2020
  • ISBN 978-981-15-5204-5
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover £64.99
price for United Kingdom (gross)
  • Due: September 4, 2020
  • ISBN 978-981-15-5203-8
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
About this Textbook

This book addresses sample size and power in the context of research, offering valuable insights for graduate and doctoral students as well as researchers in any discipline where data is generated to investigate research questions. It explains how to enhance the authenticity of research by estimating the sample size and reporting the power of the tests used. Further, it discusses the issue of sample size determination in survey studies as well as in hypothesis testing experiments so that readers can grasp the concept of statistical errors, minimum detectable difference, effect size, one-tail and two-tail tests and the power of the test. The book also highlights the importance of fixing these boundary conditions in enhancing the authenticity of research findings and improving the chances of research papers being accepted by respected journals. 

Further, it explores the significance of sample size by showing the power achieved in selected doctoral studies. Procedure has been discussed to fix power in the hypothesis testing experiment. One should usually have power at least 0.8 in the study because having power less than this will have the issue of practical significance of findings. If the power in any study is less than 0.5 then it would be better to test the hypothesis by tossing a coin instead of organizing the experiment. It also discusses determining sample size and power using the freeware G*Power software, based on twenty-one examples using different analyses, like t-test, parametric and non-parametric correlations, multivariate regression, logistic regression, independent and repeated measures ANOVA, mixed design, MANOVA and chi-square.


About the authors

Prof. J P Verma is currently a Professor and Head, Department of Sport Psychology and Dean of Student Welfare at Lakshmibai National Institute of Physical Education, Gwalior. He has more than 38 years of teaching and research experience, and served as an in-charge Vice Chancellor of LNIPE from November 2014 to September 2015. He also worked as the Director of the Centre for Advanced Studies three years. He holds three master’s degrees in Statistics, Psychology and Computer Application and a Ph.D. in Mathematics. Prof. Verma has published eleven books on research and statistics in the area of management, psychology, exercise science, health, sports and physical education, and 45 research papers/articles, and has developed sports statistics as an academic discipline. He was a visiting fellow at the University of Sydney in 2002 and has held academic visits in universities in Japan, Bulgaria, Qatar, Australia, Poland and Scotland, where he conducted numerous workshops on research methodology, research designs, multivariate analysis and data modeling in the area of management, social sciences, physical education, sports sciences, economics and health sciences.

Priyam Verma is currently pursuing his Ph.D. Economics at the University of Houston, Texas. He completed his M.Phil. in Development Economics and masters in Economics at Indira Gandhi Institute of Development Research (IGIDR), Mumbai. He has worked on monetary policy issues of developing countries, land valuations in rural India and economics of child labor in India. His current interests include econometrics, behavioral economics, experimental economics and macroeconomics.


Buy this book

eBook £51.99
price for United Kingdom (gross)
  • The eBook version of this title will be available soon
  • Due: September 4, 2020
  • ISBN 978-981-15-5204-5
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover £64.99
price for United Kingdom (gross)
  • Due: September 4, 2020
  • ISBN 978-981-15-5203-8
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
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Bibliographic Information

Bibliographic Information
Book Title
Determining Sample Size and Power in Research Studies
Book Subtitle
A Manual for Researchers
Authors
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-5204-5
DOI
10.1007/978-981-15-5204-5
Hardcover ISBN
978-981-15-5203-8
Edition Number
1
Number of Pages
XIII, 127
Number of Illustrations
16 b/w illustrations, 43 illustrations in colour
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works are not included.