A brief guide to sampling in educational settings

This tutorial gives an overview of sampling techniques commonly used in the field of education such as simple randomized sampling, stratification methods and (multistage) cluster randomized sampling. Advantages and disadvantages of these techniques are described without diving too deep into sampling...

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Main Author:	George, Ann Cathrice
Format:	Article
Language:	English
Published:	Université d'Ottawa 2021-09-01
Series:	Tutorials in Quantitative Methods for Psychology
Subjects:	sampling randomized sampling stratification cluster randomized sampling large-scale assessment. r
Online Access:	https://www.tqmp.org/RegularArticles/vol17-3/p286/p286.pdf

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spelling	doaj-6cd04e6b66214025bbc260c44650a3492021-09-24T10:08:23ZengUniversité d'OttawaTutorials in Quantitative Methods for Psychology1913-41262021-09-0117328629810.20982/tqmp.17.3.p286A brief guide to sampling in educational settingsGeorge, Ann CathriceThis tutorial gives an overview of sampling techniques commonly used in the field of education such as simple randomized sampling, stratification methods and (multistage) cluster randomized sampling. Advantages and disadvantages of these techniques are described without diving too deep into sampling theory. Instead, each technique is exemplified with data and program code in R. Finally, all presented techniques are combined to show the complexity of samples in famous educational large-scale studies such as PISA. Again an example with R code illustrates the theoretical descriptions.https://www.tqmp.org/RegularArticles/vol17-3/p286/p286.pdfsamplingrandomized samplingstratificationcluster randomized samplinglarge-scale assessment.r
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	George, Ann Cathrice
spellingShingle	George, Ann Cathrice A brief guide to sampling in educational settings Tutorials in Quantitative Methods for Psychology sampling randomized sampling stratification cluster randomized sampling large-scale assessment. r
author_facet	George, Ann Cathrice
author_sort	George, Ann Cathrice
title	A brief guide to sampling in educational settings
title_short	A brief guide to sampling in educational settings
title_full	A brief guide to sampling in educational settings
title_fullStr	A brief guide to sampling in educational settings
title_full_unstemmed	A brief guide to sampling in educational settings
title_sort	brief guide to sampling in educational settings
publisher	Université d'Ottawa
series	Tutorials in Quantitative Methods for Psychology
issn	1913-4126
publishDate	2021-09-01
description	This tutorial gives an overview of sampling techniques commonly used in the field of education such as simple randomized sampling, stratification methods and (multistage) cluster randomized sampling. Advantages and disadvantages of these techniques are described without diving too deep into sampling theory. Instead, each technique is exemplified with data and program code in R. Finally, all presented techniques are combined to show the complexity of samples in famous educational large-scale studies such as PISA. Again an example with R code illustrates the theoretical descriptions.
topic	sampling randomized sampling stratification cluster randomized sampling large-scale assessment. r
url	https://www.tqmp.org/RegularArticles/vol17-3/p286/p286.pdf
work_keys_str_mv	AT georgeanncathrice abriefguidetosamplingineducationalsettings AT georgeanncathrice briefguidetosamplingineducationalsettings
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A brief guide to sampling in educational settings

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