Investigating change across time in prevalence or association: the challenges of cross-study comparative research and possible solutions

Cross-study research initiatives to understand change across time are an increasingly prominent component of social and health sciences, yet they present considerable practical, analytical and conceptual challenges. First, we discuss the key challenges to comparative research as a basis for detectin...

Full description

Saved in:
Bibliographic Details
Published in:Discover social science and health 2022-10, Vol.2 (1), p.18-14, Article 18
Main Authors: Bann, David, Wright, Liam, Goisis, Alice, Hardy, Rebecca, Johnson, William, Maddock, Jane, McElroy, Eoin, Moulton, Vanessa, Patalay, Praveetha, Scholes, Shaun, Silverwood, Richard J., Ploubidis, George B., O’Neill, Dara
Format: Article
Language:English
Subjects:
Age
Associations
Biomedicine
Cohort analysis
Comparative analysis
Comparative research
Confounding (Statistics)
Cross-sectional studies
Cross-study analysis
Health disparities
Health sciences
Investigations
Measurement
Missing data
Mitigation
Newcomers
Perspective
Social mobility
Social Sciences
Syntax
Teaching
Time trends
Trends
Upward mobility
Citations: Items that this one cites
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-c4911-1e377255e05ca1eac964264c4afa97ea84084409ef0c73582a84ad3fc57b79353
cites cdi_FETCH-LOGICAL-c4911-1e377255e05ca1eac964264c4afa97ea84084409ef0c73582a84ad3fc57b79353
container_end_page 14
container_issue 1
container_start_page 18
container_title Discover social science and health
container_volume 2
creator Bann, David
Wright, Liam
Goisis, Alice
Hardy, Rebecca
Johnson, William
Maddock, Jane
McElroy, Eoin
Moulton, Vanessa
Patalay, Praveetha
Scholes, Shaun
Silverwood, Richard J.
Ploubidis, George B.
O’Neill, Dara
description Cross-study research initiatives to understand change across time are an increasingly prominent component of social and health sciences, yet they present considerable practical, analytical and conceptual challenges. First, we discuss the key challenges to comparative research as a basis for detecting societal change, as well as possible solutions. We focus on studies which investigate changes across time in outcome occurrence or the magnitude and/or direction of associations. We discuss the use and importance of such research, study inclusion, sources of bias and mitigation, and interpretation. Second, we propose a structured framework (a checklist) that is intended to provide guidance for future authors and reviewers. Third, we outline a new open-access teaching resource that offers detailed instruction and reusable analytical syntax to guide newcomers on techniques for conducting comparative analysis and data visualisation (in both R and Stata formats).
doi_str_mv 10.1007/s44155-022-00021-1
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_6d3372dbabaa451baeeb3986af501983</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_6d3372dbabaa451baeeb3986af501983</doaj_id><sourcerecordid>2731055503</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4911-1e377255e05ca1eac964264c4afa97ea84084409ef0c73582a84ad3fc57b79353</originalsourceid><addsrcrecordid>eNp9ks9u1DAQxiMEotXSF-CALHHhErBjO445IKGKPytV4gJna-JMsl5l7cVOVuob8Ng4m1JaDlxsy_ObzzOeryheMvqWUareJSGYlCWtqpJSWrGSPSkuK8VZSUWtnz44XxRXKe0XSNVaNPx5ccFrzhTT9LL4tfUnTJMbYHJ-IHYHfkACNoaUyOQOSJwnx4gnGNFbJCESSClYl_ng35Nph0vSmKMDJhJ6ck4t0zR3t8SGwxFiRk9IIiaEaHcEfEeOmXHtiCSFcV6U0oviWQ9jwqu7fVP8-Pzp-_XX8ubbl-31x5vSCs1yl8iVqqREKi0wBKtrUdXCCuhBK4RG0EYIqrGnVnHZVPkGOt5bqVqlueSbYrvqdgH25hjdAeKtCeDM-SLEwUCcnB3R1B3nqupaaAGEZC0gtlw3NfSSMt3wrPVh1TrO7QE7i36KMD4SfRzxbmeGcDK6Zlydi3lzJxDDzznPwRxcsjiO4DHMySwzpFJKurz1-h90H-bo81dlqtK8qmVeN0W1UucpROzvi2HULL4xq29M9o05-8awnPTqYRv3KX9ckgG-AimH8pzj37f_I_sbbp3QdA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2729326529</pqid></control><display><type>article</type><title>Investigating change across time in prevalence or association: the challenges of cross-study comparative research and possible solutions</title><source>Applied Social Sciences Index &amp; Abstracts (ASSIA)</source><source>Publicly Available Content Database</source><source>Springer Nature - SpringerLink Journals - Fully Open Access</source><source>Coronavirus Research Database</source><creator>Bann, David ; Wright, Liam ; Goisis, Alice ; Hardy, Rebecca ; Johnson, William ; Maddock, Jane ; McElroy, Eoin ; Moulton, Vanessa ; Patalay, Praveetha ; Scholes, Shaun ; Silverwood, Richard J. ; Ploubidis, George B. ; O’Neill, Dara</creator><creatorcontrib>Bann, David ; Wright, Liam ; Goisis, Alice ; Hardy, Rebecca ; Johnson, William ; Maddock, Jane ; McElroy, Eoin ; Moulton, Vanessa ; Patalay, Praveetha ; Scholes, Shaun ; Silverwood, Richard J. ; Ploubidis, George B. ; O’Neill, Dara</creatorcontrib><description>Cross-study research initiatives to understand change across time are an increasingly prominent component of social and health sciences, yet they present considerable practical, analytical and conceptual challenges. First, we discuss the key challenges to comparative research as a basis for detecting societal change, as well as possible solutions. We focus on studies which investigate changes across time in outcome occurrence or the magnitude and/or direction of associations. We discuss the use and importance of such research, study inclusion, sources of bias and mitigation, and interpretation. Second, we propose a structured framework (a checklist) that is intended to provide guidance for future authors and reviewers. Third, we outline a new open-access teaching resource that offers detailed instruction and reusable analytical syntax to guide newcomers on techniques for conducting comparative analysis and data visualisation (in both R and Stata formats).</description><identifier>ISSN: 2731-0469</identifier><identifier>EISSN: 2731-0469</identifier><identifier>DOI: 10.1007/s44155-022-00021-1</identifier><identifier>PMID: 36317190</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Age ; Associations ; Biomedicine ; Cohort analysis ; Comparative analysis ; Comparative research ; Confounding (Statistics) ; Cross-sectional studies ; Cross-study analysis ; Health disparities ; Health sciences ; Investigations ; Measurement ; Missing data ; Mitigation ; Newcomers ; Perspective ; Social mobility ; Social Sciences ; Syntax ; Teaching ; Time trends ; Trends ; Upward mobility</subject><ispartof>Discover social science and health, 2022-10, Vol.2 (1), p.18-14, Article 18</ispartof><rights>The Author(s) 2022</rights><rights>The Author(s) 2022.</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4911-1e377255e05ca1eac964264c4afa97ea84084409ef0c73582a84ad3fc57b79353</citedby><cites>FETCH-LOGICAL-c4911-1e377255e05ca1eac964264c4afa97ea84084409ef0c73582a84ad3fc57b79353</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2729326529?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2729326529?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,12826,25732,27903,27904,30978,36991,36992,38495,43874,44569,74159,74873</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36317190$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bann, David</creatorcontrib><creatorcontrib>Wright, Liam</creatorcontrib><creatorcontrib>Goisis, Alice</creatorcontrib><creatorcontrib>Hardy, Rebecca</creatorcontrib><creatorcontrib>Johnson, William</creatorcontrib><creatorcontrib>Maddock, Jane</creatorcontrib><creatorcontrib>McElroy, Eoin</creatorcontrib><creatorcontrib>Moulton, Vanessa</creatorcontrib><creatorcontrib>Patalay, Praveetha</creatorcontrib><creatorcontrib>Scholes, Shaun</creatorcontrib><creatorcontrib>Silverwood, Richard J.</creatorcontrib><creatorcontrib>Ploubidis, George B.</creatorcontrib><creatorcontrib>O’Neill, Dara</creatorcontrib><title>Investigating change across time in prevalence or association: the challenges of cross-study comparative research and possible solutions</title><title>Discover social science and health</title><addtitle>Discov Soc Sci Health</addtitle><addtitle>Discov Soc Sci Health</addtitle><description>Cross-study research initiatives to understand change across time are an increasingly prominent component of social and health sciences, yet they present considerable practical, analytical and conceptual challenges. First, we discuss the key challenges to comparative research as a basis for detecting societal change, as well as possible solutions. We focus on studies which investigate changes across time in outcome occurrence or the magnitude and/or direction of associations. We discuss the use and importance of such research, study inclusion, sources of bias and mitigation, and interpretation. Second, we propose a structured framework (a checklist) that is intended to provide guidance for future authors and reviewers. Third, we outline a new open-access teaching resource that offers detailed instruction and reusable analytical syntax to guide newcomers on techniques for conducting comparative analysis and data visualisation (in both R and Stata formats).</description><subject>Age</subject><subject>Associations</subject><subject>Biomedicine</subject><subject>Cohort analysis</subject><subject>Comparative analysis</subject><subject>Comparative research</subject><subject>Confounding (Statistics)</subject><subject>Cross-sectional studies</subject><subject>Cross-study analysis</subject><subject>Health disparities</subject><subject>Health sciences</subject><subject>Investigations</subject><subject>Measurement</subject><subject>Missing data</subject><subject>Mitigation</subject><subject>Newcomers</subject><subject>Perspective</subject><subject>Social mobility</subject><subject>Social Sciences</subject><subject>Syntax</subject><subject>Teaching</subject><subject>Time trends</subject><subject>Trends</subject><subject>Upward mobility</subject><issn>2731-0469</issn><issn>2731-0469</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9ks9u1DAQxiMEotXSF-CALHHhErBjO445IKGKPytV4gJna-JMsl5l7cVOVuob8Ng4m1JaDlxsy_ObzzOeryheMvqWUareJSGYlCWtqpJSWrGSPSkuK8VZSUWtnz44XxRXKe0XSNVaNPx5ccFrzhTT9LL4tfUnTJMbYHJ-IHYHfkACNoaUyOQOSJwnx4gnGNFbJCESSClYl_ng35Nph0vSmKMDJhJ6ck4t0zR3t8SGwxFiRk9IIiaEaHcEfEeOmXHtiCSFcV6U0oviWQ9jwqu7fVP8-Pzp-_XX8ubbl-31x5vSCs1yl8iVqqREKi0wBKtrUdXCCuhBK4RG0EYIqrGnVnHZVPkGOt5bqVqlueSbYrvqdgH25hjdAeKtCeDM-SLEwUCcnB3R1B3nqupaaAGEZC0gtlw3NfSSMt3wrPVh1TrO7QE7i36KMD4SfRzxbmeGcDK6Zlydi3lzJxDDzznPwRxcsjiO4DHMySwzpFJKurz1-h90H-bo81dlqtK8qmVeN0W1UucpROzvi2HULL4xq29M9o05-8awnPTqYRv3KX9ckgG-AimH8pzj37f_I_sbbp3QdA</recordid><startdate>20221027</startdate><enddate>20221027</enddate><creator>Bann, David</creator><creator>Wright, Liam</creator><creator>Goisis, Alice</creator><creator>Hardy, Rebecca</creator><creator>Johnson, William</creator><creator>Maddock, Jane</creator><creator>McElroy, Eoin</creator><creator>Moulton, Vanessa</creator><creator>Patalay, Praveetha</creator><creator>Scholes, Shaun</creator><creator>Silverwood, Richard J.</creator><creator>Ploubidis, George B.</creator><creator>O’Neill, Dara</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><general>Springer</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QJ</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20221027</creationdate><title>Investigating change across time in prevalence or association: the challenges of cross-study comparative research and possible solutions</title><author>Bann, David ; Wright, Liam ; Goisis, Alice ; Hardy, Rebecca ; Johnson, William ; Maddock, Jane ; McElroy, Eoin ; Moulton, Vanessa ; Patalay, Praveetha ; Scholes, Shaun ; Silverwood, Richard J. ; Ploubidis, George B. ; O’Neill, Dara</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4911-1e377255e05ca1eac964264c4afa97ea84084409ef0c73582a84ad3fc57b79353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Age</topic><topic>Associations</topic><topic>Biomedicine</topic><topic>Cohort analysis</topic><topic>Comparative analysis</topic><topic>Comparative research</topic><topic>Confounding (Statistics)</topic><topic>Cross-sectional studies</topic><topic>Cross-study analysis</topic><topic>Health disparities</topic><topic>Health sciences</topic><topic>Investigations</topic><topic>Measurement</topic><topic>Missing data</topic><topic>Mitigation</topic><topic>Newcomers</topic><topic>Perspective</topic><topic>Social mobility</topic><topic>Social Sciences</topic><topic>Syntax</topic><topic>Teaching</topic><topic>Time trends</topic><topic>Trends</topic><topic>Upward mobility</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bann, David</creatorcontrib><creatorcontrib>Wright, Liam</creatorcontrib><creatorcontrib>Goisis, Alice</creatorcontrib><creatorcontrib>Hardy, Rebecca</creatorcontrib><creatorcontrib>Johnson, William</creatorcontrib><creatorcontrib>Maddock, Jane</creatorcontrib><creatorcontrib>McElroy, Eoin</creatorcontrib><creatorcontrib>Moulton, Vanessa</creatorcontrib><creatorcontrib>Patalay, Praveetha</creatorcontrib><creatorcontrib>Scholes, Shaun</creatorcontrib><creatorcontrib>Silverwood, Richard J.</creatorcontrib><creatorcontrib>Ploubidis, George B.</creatorcontrib><creatorcontrib>O’Neill, Dara</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index &amp; Abstracts (ASSIA)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</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)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Publicly Available Content Database</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Discover social science and health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bann, David</au><au>Wright, Liam</au><au>Goisis, Alice</au><au>Hardy, Rebecca</au><au>Johnson, William</au><au>Maddock, Jane</au><au>McElroy, Eoin</au><au>Moulton, Vanessa</au><au>Patalay, Praveetha</au><au>Scholes, Shaun</au><au>Silverwood, Richard J.</au><au>Ploubidis, George B.</au><au>O’Neill, Dara</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Investigating change across time in prevalence or association: the challenges of cross-study comparative research and possible solutions</atitle><jtitle>Discover social science and health</jtitle><stitle>Discov Soc Sci Health</stitle><addtitle>Discov Soc Sci Health</addtitle><date>2022-10-27</date><risdate>2022</risdate><volume>2</volume><issue>1</issue><spage>18</spage><epage>14</epage><pages>18-14</pages><artnum>18</artnum><issn>2731-0469</issn><eissn>2731-0469</eissn><abstract>Cross-study research initiatives to understand change across time are an increasingly prominent component of social and health sciences, yet they present considerable practical, analytical and conceptual challenges. First, we discuss the key challenges to comparative research as a basis for detecting societal change, as well as possible solutions. We focus on studies which investigate changes across time in outcome occurrence or the magnitude and/or direction of associations. We discuss the use and importance of such research, study inclusion, sources of bias and mitigation, and interpretation. Second, we propose a structured framework (a checklist) that is intended to provide guidance for future authors and reviewers. Third, we outline a new open-access teaching resource that offers detailed instruction and reusable analytical syntax to guide newcomers on techniques for conducting comparative analysis and data visualisation (in both R and Stata formats).</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>36317190</pmid><doi>10.1007/s44155-022-00021-1</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2731-0469
ispartof Discover social science and health, 2022-10, Vol.2 (1), p.18-14, Article 18
issn 2731-0469
2731-0469
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_6d3372dbabaa451baeeb3986af501983
source Applied Social Sciences Index & Abstracts (ASSIA); Publicly Available Content Database; Springer Nature - SpringerLink Journals - Fully Open Access; Coronavirus Research Database
subjects Age
Associations
Biomedicine
Cohort analysis
Comparative analysis
Comparative research
Confounding (Statistics)
Cross-sectional studies
Cross-study analysis
Health disparities
Health sciences
Investigations
Measurement
Missing data
Mitigation
Newcomers
Perspective
Social mobility
Social Sciences
Syntax
Teaching
Time trends
Trends
Upward mobility
title Investigating change across time in prevalence or association: the challenges of cross-study comparative research and possible solutions
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T13%3A01%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Investigating%20change%20across%20time%20in%20prevalence%20or%20association:%20the%20challenges%20of%20cross-study%20comparative%20research%20and%20possible%20solutions&rft.jtitle=Discover%20social%20science%20and%20health&rft.au=Bann,%20David&rft.date=2022-10-27&rft.volume=2&rft.issue=1&rft.spage=18&rft.epage=14&rft.pages=18-14&rft.artnum=18&rft.issn=2731-0469&rft.eissn=2731-0469&rft_id=info:doi/10.1007/s44155-022-00021-1&rft_dat=%3Cproquest_doaj_%3E2731055503%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c4911-1e377255e05ca1eac964264c4afa97ea84084409ef0c73582a84ad3fc57b79353%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2729326529&rft_id=info:pmid/36317190&rfr_iscdi=true