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Titlebook: Determining Sample Size and Power in Research Studies; A Manual for Researc J. P. Verma,Priyam Verma Textbook 2020 Springer Nature Singapor

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發(fā)表于 2025-3-21 17:43:35 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Determining Sample Size and Power in Research Studies
副標(biāo)題A Manual for Researc
編輯J. P. Verma,Priyam Verma
視頻videohttp://file.papertrans.cn/270/269325/269325.mp4
概述Discusses the procedure of computing sample size for a desired power, by fixing effect size and error rate(a) in different statistical tests.Examines the procedure in computing sample size in survey s
圖書封面Titlebook: Determining Sample Size and Power in Research Studies; A Manual for Researc J. P. Verma,Priyam Verma Textbook 2020 Springer Nature Singapor
描述.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
出版日期Textbook 2020
關(guān)鍵詞Sample Size; Power Analysis; Survey Studies; Hypothesis Testing; G* Power; Minimum Detectable Difference;
版次1
doihttps://doi.org/10.1007/978-981-15-5204-5
isbn_softcover978-981-15-5206-9
isbn_ebook978-981-15-5204-5
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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發(fā)表于 2025-3-21 23:25:08 | 只看該作者
R. T. Vinopal,S. A. Wartell,K. S. Kolowskyeconomic status. Consider a situation in which a large number of patients start visiting doctors in the last few weeks; the researcher may develop a theory that existing weather is not conducive for the inhabitants or there is some outbreak of disease(s) in the neighborhood. Similarly, if majority o
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Understanding Concepts in Estimating Sample Size in Hypothesis Testing Experiments,economic status. Consider a situation in which a large number of patients start visiting doctors in the last few weeks; the researcher may develop a theory that existing weather is not conducive for the inhabitants or there is some outbreak of disease(s) in the neighborhood. Similarly, if majority o
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R. T. Vinopal,S. A. Wartell,K. S. Kolowskye theoretical foundations to arrive at the formula for calculating optimal sample size based on the concept of precision. The following chapter will deal with the concept of power, which is used in hypothesis testing.
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發(fā)表于 2025-3-23 01:08:36 | 只看該作者
Responses of Plants to Saline Environmentsirst few illustrations in this chapter. By using similar procedures, one can compute the power in other settings as well. In this chapter, we shall discuss the procedure of estimating sample size and power for different statistical tests by using G*Power software.
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發(fā)表于 2025-3-23 07:49:40 | 只看該作者
Understanding Concepts in Estimating Sample Size in Survey Studies,e theoretical foundations to arrive at the formula for calculating optimal sample size based on the concept of precision. The following chapter will deal with the concept of power, which is used in hypothesis testing.
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