Investigation of Single-Case Multiple-Baseline Randomization Tests of Trend and Variability

Previous simulation studies of randomization tests applied in single-case educational intervention research contexts have typically focused on A-to-B phase changes in means/levels. In the present simulation study, we report the results of two multiple-baseline investigations, one targeting between-p...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Educational psychology review 2021-06, Vol.33 (2), p.713-737
Hauptverfasser: Levin, Joel R., Ferron, John M., Gafurov, Boris S.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 737
container_issue 2
container_start_page 713
container_title Educational psychology review
container_volume 33
creator Levin, Joel R.
Ferron, John M.
Gafurov, Boris S.
description Previous simulation studies of randomization tests applied in single-case educational intervention research contexts have typically focused on A-to-B phase changes in means/levels. In the present simulation study, we report the results of two multiple-baseline investigations, one targeting between-phase changes in slopes/trends and the other targeting between-phase changes in variability. For each of these measures, we examine the comparative type I errors and powers of several randomization test procedures that have previously appeared in the literature. In so doing, we propose an alternative measure of variability that is more sensitive to detecting between-phase change than is the variance itself. We conclude by providing a summary table of recommended randomization test procedures for assessing different types of intervention-based effects associated with level, trend, and variability.
doi_str_mv 10.1007/s10648-020-09549-7
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2523914111</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A713723085</galeid><ericid>EJ1295972</ericid><jstor_id>48750322</jstor_id><sourcerecordid>A713723085</sourcerecordid><originalsourceid>FETCH-LOGICAL-c402t-762190ff216f9f28ab77bf14571e75cdb1a433a1af657d6c34c34f5bfd757cf23</originalsourceid><addsrcrecordid>eNqNkF9rFDEUxYdSwbb6BYTCQJ9T782fuTuP7dLWSkXQVQo-hMxMsmSZTdZktlA_vVlH6qskkNyc-7s5nKp6h3CJAPQ-IzRywYADg1bJltFRdYKKBBOieTwud5DAiDePr6vTnDcA0JIUJ9WP-_Bk8-TXZvIx1NHVX31Yj5YtTbb1p_04-V2prks1-mDrLyYMcet_ze2rguYDtEo2DHXR6u8medP50U_Pb6pXzozZvv17nlXfbm9Wyw_s4fPd_fLqgfUS-MSo4diCcxwb1zq-MB1R51AqQkuqHzo0UgiDxjWKhqYXsmynOjeQot5xcVZdzHN3Kf7cF0t6E_cplC81V1y0KBGxdF3OXWszWu2Di1MyfVmD3fo-But8eb8iFMQFLFQB-Az0KeacrNO75LcmPWsEfUhdz6nrkrr-k7qmAp3PkE2-fwFuPiJvVUsHr2LWc9HC2qZ_Xv9n6iZPMb2MlQtSIDgXvwGxc5gj</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2523914111</pqid></control><display><type>article</type><title>Investigation of Single-Case Multiple-Baseline Randomization Tests of Trend and Variability</title><source>EBSCOhost Education Source</source><source>SpringerLink Journals - AutoHoldings</source><creator>Levin, Joel R. ; Ferron, John M. ; Gafurov, Boris S.</creator><creatorcontrib>Levin, Joel R. ; Ferron, John M. ; Gafurov, Boris S.</creatorcontrib><description>Previous simulation studies of randomization tests applied in single-case educational intervention research contexts have typically focused on A-to-B phase changes in means/levels. In the present simulation study, we report the results of two multiple-baseline investigations, one targeting between-phase changes in slopes/trends and the other targeting between-phase changes in variability. For each of these measures, we examine the comparative type I errors and powers of several randomization test procedures that have previously appeared in the literature. In so doing, we propose an alternative measure of variability that is more sensitive to detecting between-phase change than is the variance itself. We conclude by providing a summary table of recommended randomization test procedures for assessing different types of intervention-based effects associated with level, trend, and variability.</description><identifier>ISSN: 1040-726X</identifier><identifier>EISSN: 1573-336X</identifier><identifier>DOI: 10.1007/s10648-020-09549-7</identifier><language>eng</language><publisher>New York: Springer Science + Business Media</publisher><subject>Analysis ; Child and School Psychology ; Dispersion measures (Statistics) ; Education ; Educational Psychology ; Educational Research ; Educational tests &amp; measurements ; Hypothesis Testing ; Intervention ; INTERVENTION STUDY ; Learning and Instruction ; Methods ; Resampling (Statistics) ; Statistical Analysis ; Trends</subject><ispartof>Educational psychology review, 2021-06, Vol.33 (2), p.713-737</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020</rights><rights>COPYRIGHT 2021 Springer</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c402t-762190ff216f9f28ab77bf14571e75cdb1a433a1af657d6c34c34f5bfd757cf23</citedby><cites>FETCH-LOGICAL-c402t-762190ff216f9f28ab77bf14571e75cdb1a433a1af657d6c34c34f5bfd757cf23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10648-020-09549-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10648-020-09549-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1295972$$DView record in ERIC$$Hfree_for_read</backlink></links><search><creatorcontrib>Levin, Joel R.</creatorcontrib><creatorcontrib>Ferron, John M.</creatorcontrib><creatorcontrib>Gafurov, Boris S.</creatorcontrib><title>Investigation of Single-Case Multiple-Baseline Randomization Tests of Trend and Variability</title><title>Educational psychology review</title><addtitle>Educ Psychol Rev</addtitle><description>Previous simulation studies of randomization tests applied in single-case educational intervention research contexts have typically focused on A-to-B phase changes in means/levels. In the present simulation study, we report the results of two multiple-baseline investigations, one targeting between-phase changes in slopes/trends and the other targeting between-phase changes in variability. For each of these measures, we examine the comparative type I errors and powers of several randomization test procedures that have previously appeared in the literature. In so doing, we propose an alternative measure of variability that is more sensitive to detecting between-phase change than is the variance itself. We conclude by providing a summary table of recommended randomization test procedures for assessing different types of intervention-based effects associated with level, trend, and variability.</description><subject>Analysis</subject><subject>Child and School Psychology</subject><subject>Dispersion measures (Statistics)</subject><subject>Education</subject><subject>Educational Psychology</subject><subject>Educational Research</subject><subject>Educational tests &amp; measurements</subject><subject>Hypothesis Testing</subject><subject>Intervention</subject><subject>INTERVENTION STUDY</subject><subject>Learning and Instruction</subject><subject>Methods</subject><subject>Resampling (Statistics)</subject><subject>Statistical Analysis</subject><subject>Trends</subject><issn>1040-726X</issn><issn>1573-336X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkF9rFDEUxYdSwbb6BYTCQJ9T782fuTuP7dLWSkXQVQo-hMxMsmSZTdZktlA_vVlH6qskkNyc-7s5nKp6h3CJAPQ-IzRywYADg1bJltFRdYKKBBOieTwud5DAiDePr6vTnDcA0JIUJ9WP-_Bk8-TXZvIx1NHVX31Yj5YtTbb1p_04-V2prks1-mDrLyYMcet_ze2rguYDtEo2DHXR6u8medP50U_Pb6pXzozZvv17nlXfbm9Wyw_s4fPd_fLqgfUS-MSo4diCcxwb1zq-MB1R51AqQkuqHzo0UgiDxjWKhqYXsmynOjeQot5xcVZdzHN3Kf7cF0t6E_cplC81V1y0KBGxdF3OXWszWu2Di1MyfVmD3fo-But8eb8iFMQFLFQB-Az0KeacrNO75LcmPWsEfUhdz6nrkrr-k7qmAp3PkE2-fwFuPiJvVUsHr2LWc9HC2qZ_Xv9n6iZPMb2MlQtSIDgXvwGxc5gj</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Levin, Joel R.</creator><creator>Ferron, John M.</creator><creator>Gafurov, Boris S.</creator><general>Springer Science + Business Media</general><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>7XB</scope><scope>88B</scope><scope>88G</scope><scope>8A4</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>M0P</scope><scope>M2M</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope></search><sort><creationdate>20210601</creationdate><title>Investigation of Single-Case Multiple-Baseline Randomization Tests of Trend and Variability</title><author>Levin, Joel R. ; Ferron, John M. ; Gafurov, Boris S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c402t-762190ff216f9f28ab77bf14571e75cdb1a433a1af657d6c34c34f5bfd757cf23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analysis</topic><topic>Child and School Psychology</topic><topic>Dispersion measures (Statistics)</topic><topic>Education</topic><topic>Educational Psychology</topic><topic>Educational Research</topic><topic>Educational tests &amp; measurements</topic><topic>Hypothesis Testing</topic><topic>Intervention</topic><topic>INTERVENTION STUDY</topic><topic>Learning and Instruction</topic><topic>Methods</topic><topic>Resampling (Statistics)</topic><topic>Statistical Analysis</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Levin, Joel R.</creatorcontrib><creatorcontrib>Ferron, John M.</creatorcontrib><creatorcontrib>Gafurov, Boris S.</creatorcontrib><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Education Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Education Periodicals</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Education Collection</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Education Database</collection><collection>Psychology Database</collection><collection>ProQuest One Education</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><jtitle>Educational psychology review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Levin, Joel R.</au><au>Ferron, John M.</au><au>Gafurov, Boris S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1295972</ericid><atitle>Investigation of Single-Case Multiple-Baseline Randomization Tests of Trend and Variability</atitle><jtitle>Educational psychology review</jtitle><stitle>Educ Psychol Rev</stitle><date>2021-06-01</date><risdate>2021</risdate><volume>33</volume><issue>2</issue><spage>713</spage><epage>737</epage><pages>713-737</pages><issn>1040-726X</issn><eissn>1573-336X</eissn><abstract>Previous simulation studies of randomization tests applied in single-case educational intervention research contexts have typically focused on A-to-B phase changes in means/levels. In the present simulation study, we report the results of two multiple-baseline investigations, one targeting between-phase changes in slopes/trends and the other targeting between-phase changes in variability. For each of these measures, we examine the comparative type I errors and powers of several randomization test procedures that have previously appeared in the literature. In so doing, we propose an alternative measure of variability that is more sensitive to detecting between-phase change than is the variance itself. We conclude by providing a summary table of recommended randomization test procedures for assessing different types of intervention-based effects associated with level, trend, and variability.</abstract><cop>New York</cop><pub>Springer Science + Business Media</pub><doi>10.1007/s10648-020-09549-7</doi><tpages>25</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1040-726X
ispartof Educational psychology review, 2021-06, Vol.33 (2), p.713-737
issn 1040-726X
1573-336X
language eng
recordid cdi_proquest_journals_2523914111
source EBSCOhost Education Source; SpringerLink Journals - AutoHoldings
subjects Analysis
Child and School Psychology
Dispersion measures (Statistics)
Education
Educational Psychology
Educational Research
Educational tests & measurements
Hypothesis Testing
Intervention
INTERVENTION STUDY
Learning and Instruction
Methods
Resampling (Statistics)
Statistical Analysis
Trends
title Investigation of Single-Case Multiple-Baseline Randomization Tests of Trend and Variability
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T20%3A47%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Investigation%20of%20Single-Case%20Multiple-Baseline%20Randomization%20Tests%20of%20Trend%20and%20Variability&rft.jtitle=Educational%20psychology%20review&rft.au=Levin,%20Joel%20R.&rft.date=2021-06-01&rft.volume=33&rft.issue=2&rft.spage=713&rft.epage=737&rft.pages=713-737&rft.issn=1040-726X&rft.eissn=1573-336X&rft_id=info:doi/10.1007/s10648-020-09549-7&rft_dat=%3Cgale_proqu%3EA713723085%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2523914111&rft_id=info:pmid/&rft_galeid=A713723085&rft_ericid=EJ1295972&rft_jstor_id=48750322&rfr_iscdi=true