IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: May 2024

Volume 9 | Issue 5

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: Sampling methods and size determination analytical review
Authors Name: Abingwa John Patrick , Abingwa Hebron Emanuel
Unique Id: IJSDR2308175
Published In: Volume 8 Issue 8, August-2023
Abstract: Research data measures events and indicates exposure of these events. Also, statistics is used to determine if any association detected in the sample is actually real. Majority of the cases will have some association regardless of the magnitude of the association. Statistical approaches exist in applied research which are used to measure frequency. These frequency measures are rates, ratios and proportions. Sampling methods, on the contrary, are used for studies to improve measures accurately, in a limited time and at a bargain. The preference of sampling and sample size determination are quite essential in contractual research investigations to draw right conclusions. If the sample size is very small, even a well performed study may fail to detect important associations, or may estimate associations imprecisely. Equivalently, when the sample size is vast, the study would be more complex and may lead to inaccuracy in results. Methods for sample size estimation and achieving power analysis, bank chiefly on the design and the main measure of the study. There are well laid out procedures for calculating sample size for various study designs and different outcome measures. Besides, there are other procedures for calculating the sample size for two methods of drawing statistical inferences from the study results on the basis of confidence interval method and test of significance method. In the recent past there has been an upsurge in the growth of journals and the number of publications in survey-based studies has greatly increased. However many of these studies, offer limited pertinent sampling methods. It was therefore important to give solitary fountain of information about the sampling and sample size determination to the researchers working in various fields. This paper, hence, gives a review of usually used terms and methods that are appropriate for specific research goals, sample size determination, and describe some sampling methods for research study goals.
Keywords: Sampling, Sample Size, Analytical Review
Cite Article: "Sampling methods and size determination analytical review", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 8, page no.1193 - 1204, August-2023, Available :http://www.ijsdr.org/papers/IJSDR2308175.pdf
Downloads: 000338720
Publication Details: Published Paper ID: IJSDR2308175
Registration ID:208330
Published In: Volume 8 Issue 8, August-2023
DOI (Digital Object Identifier): https://doi.org/10.5281/zenodo.10149245
Page No: 1193 - 1204
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview







Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
ISSN
DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media
IJSDR

Indexing Partner