Determining Sample Size and Power in Research Studies (Record no. 6448)

MARC details
000 -LEADER
fixed length control field 02195nam a2200205Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field RRU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230604230111.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210901s2020 ||||||||| ||||||| 0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789811552038
040 ## - CATALOGING SOURCE
Original cataloging agency RRU
Language of cataloging English
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title Eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Class No. 519.52
Item number VER
100 ## - FIRST AUTHOR (IF A PERSON)
9 (RLIN) 2303
Name of author Verma, J. P.
245 #0 - TITLE STATEMENT
Title Determining Sample Size and Power in Research Studies
Statement of responsibility Verma J. P.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Springer;
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
No. of pages 127p.
Other physical details 15.6 x 0.97 x 23.39 cm
520 ## - SUMMARY, ETC.
Summary, etc. 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. <br/><br/>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.<br/><br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject heading Security
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan (e.g. reference copy) Home library Current library Date acquired Inventory number Total Checkouts Full call number Accession No Date last seen Date last checked out Item MRP (printed price) Price effective from Koha item type
    Dewey Decimal Classification     Rashtriya Raksha University   01/06/2021 09944 2 519.52 VER 9944 01/08/2023 01/08/2023 4636.00 02/09/2021 Books
© 2024 Rashtriya Raksha University, All Rights Reserved.