Combining modelling strategies to analyse Teaching Styles data

This paper combines two estimation procedures: Iterative Generalized Least Squares as used in the software MLwiN; Gibbs Sampling as employed in thesoftware BUGS to produce a modelling strategy that respects the hierarchical natureof the Teaching Styles data and also allows for the endogeneity proble...

Full description

Saved in:
Bibliographic Details
Published in:Quality & quantity 2002-05, Vol.36 (2), p.113-127
Main Author: SPENCER, Neil H
Format: Article
Language:English
Subjects:
Economic models
Educational sciences
Estimation
Sampling
Studies
Teaching Methods
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c287t-9971d815084817f47146009de866fefeb10f60fc4b1f383bd1ea4d76483463f93
cites
container_end_page 127
container_issue 2
container_start_page 113
container_title Quality & quantity
container_volume 36
creator SPENCER, Neil H
description This paper combines two estimation procedures: Iterative Generalized Least Squares as used in the software MLwiN; Gibbs Sampling as employed in thesoftware BUGS to produce a modelling strategy that respects the hierarchical natureof the Teaching Styles data and also allows for the endogeneity problems encountered when examining pupil progress.[PUBLICATION ABSTRACT]
doi_str_mv 10.1023/A:1014969805388
format article
fullrecord <record><control><sourceid>proquest_pasca</sourceid><recordid>TN_cdi_proquest_miscellaneous_60438376</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>60438376</sourcerecordid><originalsourceid>FETCH-LOGICAL-c287t-9971d815084817f47146009de866fefeb10f60fc4b1f383bd1ea4d76483463f93</originalsourceid><addsrcrecordid>eNpdkM1LxDAQxYMoWFfPXougt-rMJs0kHoSl-AULHlzPJW2TtUs_1iZ76H9vi3vy9Abeb4Y3j7FrhHuEJX9YPSKg0FIrSLlSJyzClHhCSqSnLALgPEmR6JxdeL8DQABBEXvK-raou7rbxm1f2aaZJx8GE-y2tj4OfWw604zexhtryu_Z_gxjM1mVCeaSnTnTeHt11AX7enneZG_J-uP1PVutk3KpKCRaE1YKU1BCITlBKCSArqyS0llnCwQnwZWiQMcVLyq0RlQkheJCcqf5gt393d0P_c_B-pC3tS-nuKaz_cHnEsS0R3ICb_6Bu_4wTB_4nBTB3NQM3R4h40vTuMF0Ze3z_VC3Zhhz5BKV4Jr_AitVY5E</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>787010236</pqid></control><display><type>article</type><title>Combining modelling strategies to analyse Teaching Styles data</title><source>International Bibliography of the Social Sciences (IBSS)</source><source>ABI/INFORM Global</source><source>Springer Nature</source><source>Social Science Premium Collection (Proquest) (PQ_SDU_P3)</source><source>Sociology Collection</source><source>Sociological Abstracts</source><creator>SPENCER, Neil H</creator><creatorcontrib>SPENCER, Neil H</creatorcontrib><description>This paper combines two estimation procedures: Iterative Generalized Least Squares as used in the software MLwiN; Gibbs Sampling as employed in thesoftware BUGS to produce a modelling strategy that respects the hierarchical natureof the Teaching Styles data and also allows for the endogeneity problems encountered when examining pupil progress.[PUBLICATION ABSTRACT]</description><identifier>ISSN: 0033-5177</identifier><identifier>EISSN: 1573-7845</identifier><identifier>DOI: 10.1023/A:1014969805388</identifier><identifier>CODEN: QQEJAV</identifier><language>eng</language><publisher>Dordrecht: Springer</publisher><subject>Economic models ; Educational sciences ; Estimation ; Sampling ; Studies ; Teaching Methods</subject><ispartof>Quality &amp; quantity, 2002-05, Vol.36 (2), p.113-127</ispartof><rights>2003 INIST-CNRS</rights><rights>Kluwer Academic Publishers 2002</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c287t-9971d815084817f47146009de866fefeb10f60fc4b1f383bd1ea4d76483463f93</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/787010236/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/787010236?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,12847,21394,21395,27344,27924,27925,33223,33611,33612,33774,33775,34530,34531,36060,36061,43733,44115,44363,74221,74639,74895</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=13618439$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>SPENCER, Neil H</creatorcontrib><title>Combining modelling strategies to analyse Teaching Styles data</title><title>Quality &amp; quantity</title><description>This paper combines two estimation procedures: Iterative Generalized Least Squares as used in the software MLwiN; Gibbs Sampling as employed in thesoftware BUGS to produce a modelling strategy that respects the hierarchical natureof the Teaching Styles data and also allows for the endogeneity problems encountered when examining pupil progress.[PUBLICATION ABSTRACT]</description><subject>Economic models</subject><subject>Educational sciences</subject><subject>Estimation</subject><subject>Sampling</subject><subject>Studies</subject><subject>Teaching Methods</subject><issn>0033-5177</issn><issn>1573-7845</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><sourceid>ALSLI</sourceid><sourceid>BHHNA</sourceid><sourceid>HEHIP</sourceid><sourceid>M0C</sourceid><sourceid>M2R</sourceid><sourceid>M2S</sourceid><recordid>eNpdkM1LxDAQxYMoWFfPXougt-rMJs0kHoSl-AULHlzPJW2TtUs_1iZ76H9vi3vy9Abeb4Y3j7FrhHuEJX9YPSKg0FIrSLlSJyzClHhCSqSnLALgPEmR6JxdeL8DQABBEXvK-raou7rbxm1f2aaZJx8GE-y2tj4OfWw604zexhtryu_Z_gxjM1mVCeaSnTnTeHt11AX7enneZG_J-uP1PVutk3KpKCRaE1YKU1BCITlBKCSArqyS0llnCwQnwZWiQMcVLyq0RlQkheJCcqf5gt393d0P_c_B-pC3tS-nuKaz_cHnEsS0R3ICb_6Bu_4wTB_4nBTB3NQM3R4h40vTuMF0Ze3z_VC3Zhhz5BKV4Jr_AitVY5E</recordid><startdate>20020501</startdate><enddate>20020501</enddate><creator>SPENCER, Neil H</creator><general>Springer</general><general>Springer Nature B.V</general><scope>IQODW</scope><scope>0-V</scope><scope>3V.</scope><scope>7U4</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88G</scope><scope>88J</scope><scope>8BJ</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHHNA</scope><scope>CCPQU</scope><scope>DWI</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HEHIP</scope><scope>JBE</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>M2M</scope><scope>M2O</scope><scope>M2R</scope><scope>M2S</scope><scope>MBDVC</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>WZK</scope></search><sort><creationdate>20020501</creationdate><title>Combining modelling strategies to analyse Teaching Styles data</title><author>SPENCER, Neil H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c287t-9971d815084817f47146009de866fefeb10f60fc4b1f383bd1ea4d76483463f93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Economic models</topic><topic>Educational sciences</topic><topic>Estimation</topic><topic>Sampling</topic><topic>Studies</topic><topic>Teaching Methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>SPENCER, Neil H</creatorcontrib><collection>Pascal-Francis</collection><collection>ProQuest Social Sciences Premium Collection【Remote access available】</collection><collection>ProQuest Central (Corporate)</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>ProQuest_ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Sociological Abstracts</collection><collection>ProQuest One Community College</collection><collection>Sociological Abstracts</collection><collection>ProQuest Central Korea</collection><collection>International Bibliography of the Social Sciences</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Sociology Collection</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>ProQuest Psychology Journals</collection><collection>ProQuest research library</collection><collection>Social Science Database (ProQuest)</collection><collection>Sociology Database</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Sociological Abstracts (Ovid)</collection><jtitle>Quality &amp; quantity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>SPENCER, Neil H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Combining modelling strategies to analyse Teaching Styles data</atitle><jtitle>Quality &amp; quantity</jtitle><date>2002-05-01</date><risdate>2002</risdate><volume>36</volume><issue>2</issue><spage>113</spage><epage>127</epage><pages>113-127</pages><issn>0033-5177</issn><eissn>1573-7845</eissn><coden>QQEJAV</coden><abstract>This paper combines two estimation procedures: Iterative Generalized Least Squares as used in the software MLwiN; Gibbs Sampling as employed in thesoftware BUGS to produce a modelling strategy that respects the hierarchical natureof the Teaching Styles data and also allows for the endogeneity problems encountered when examining pupil progress.[PUBLICATION ABSTRACT]</abstract><cop>Dordrecht</cop><pub>Springer</pub><doi>10.1023/A:1014969805388</doi><tpages>15</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0033-5177
ispartof Quality & quantity, 2002-05, Vol.36 (2), p.113-127
issn 0033-5177
1573-7845
language eng
recordid cdi_proquest_miscellaneous_60438376
source International Bibliography of the Social Sciences (IBSS); ABI/INFORM Global; Springer Nature; Social Science Premium Collection (Proquest) (PQ_SDU_P3); Sociology Collection; Sociological Abstracts
subjects Economic models
Educational sciences
Estimation
Sampling
Studies
Teaching Methods
title Combining modelling strategies to analyse Teaching Styles data
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T03%3A09%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pasca&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Combining%20modelling%20strategies%20to%20analyse%20Teaching%20Styles%20data&rft.jtitle=Quality%20&%20quantity&rft.au=SPENCER,%20Neil%20H&rft.date=2002-05-01&rft.volume=36&rft.issue=2&rft.spage=113&rft.epage=127&rft.pages=113-127&rft.issn=0033-5177&rft.eissn=1573-7845&rft.coden=QQEJAV&rft_id=info:doi/10.1023/A:1014969805388&rft_dat=%3Cproquest_pasca%3E60438376%3C/proquest_pasca%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c287t-9971d815084817f47146009de866fefeb10f60fc4b1f383bd1ea4d76483463f93%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=787010236&rft_id=info:pmid/&rfr_iscdi=true