No Cover Image

Journal article 152 views 26 downloads

Development of a measure of collective efficacy within personal networks: A complement to self-efficacy in self-management support?

Becky Band Orcid Logo, Elizabeth James, David Culliford, Borislav Dimitrov, Anne Kennedy, Anne Rogers, Ivaylo Vassilev

Patient Education and Counseling, Volume: 102, Issue: 7, Pages: 1389 - 1396

Swansea University Author: Becky Band Orcid Logo

  • 67034.VoR.pdf

    PDF | Version of Record

    © 2019 The Authors. This is an open access article under the CC BY-NC-ND license.

    Download (718.14KB)

Abstract

ObjectiveTo develop and evaluate the Collective Efficacy of Networks (CENS) questionnaire to measure perceived collective efficacy within personal social networks.MethodsA mixed methods approach was used, guided by theory and with extensive input from adults with long-term conditions who completed t...

Full description

Published in: Patient Education and Counseling
ISSN: 0738-3991
Published: Elsevier BV 2019
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa67034
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2024-09-02T13:05:02Z
last_indexed 2024-09-02T13:05:02Z
id cronfa67034
recordtype SURis
fullrecord <?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>67034</id><entry>2024-07-09</entry><title>Development of a measure of collective efficacy within personal networks: A complement to self-efficacy in self-management support?</title><swanseaauthors><author><sid>06b53a31f254b004de8649a376ce2fbd</sid><ORCID>0000-0001-5403-1708</ORCID><firstname>Becky</firstname><surname>Band</surname><name>Becky Band</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-07-09</date><deptcode>HSOC</deptcode><abstract>ObjectiveTo develop and evaluate the Collective Efficacy of Networks (CENS) questionnaire to measure perceived collective efficacy within personal social networks.MethodsA mixed methods approach was used, guided by theory and with extensive input from adults with long-term conditions who completed the initial questionnaire (n = 78) with test-retest assessed at 2 weeks (n = 68). A second sample (n = 85) completed a postal questionnaire including CENS, theoretically linked constructs (self-efficacy, social support) and health outcomes (loneliness, mental and physical health).ResultsPrincipal components analysis demonstrated a two-factor structure with 12-items selected to represent Network responsiveness (8 items, Cronbach’s alpha = 0.896) and Access to collective efficacy (4 items, Cronbach’s alpha = .773). Good test-retest reliability was established for both subscales (ricc = .793–.853). Network responsiveness was associated with self-efficacy (r = 342, p = . &lt; 001) and social support (r = .407, p &lt; .001) and predicted reduced loneliness. Access to collective efficacy significantly predicted better mental health; the predictive validity of the subscales improved when combined with self-efficacy.ConclusionThe CENS is an acceptable and psychometrically robust measure of collective efficacy in personal social networks.Practice implicationsMeasuring collective efficacy with self-efficacy will provide useful information for researchers and policymakers interested in capacity for self-management and social determinants of behaviour change.</abstract><type>Journal Article</type><journal>Patient Education and Counseling</journal><volume>102</volume><journalNumber>7</journalNumber><paginationStart>1389</paginationStart><paginationEnd>1396</paginationEnd><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0738-3991</issnPrint><issnElectronic/><keywords>Collective efficacy; Social networks; Personal communities; Assessment; Psychometric evaluation</keywords><publishedDay>1</publishedDay><publishedMonth>7</publishedMonth><publishedYear>2019</publishedYear><publishedDate>2019-07-01</publishedDate><doi>10.1016/j.pec.2019.02.026</doi><url/><notes/><college>COLLEGE NANME</college><department>Health and Social Care School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HSOC</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>The research was funded by the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) Wessex. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.</funders><projectreference/><lastEdited>2024-09-02T14:08:04.5028108</lastEdited><Created>2024-07-09T15:24:34.7594664</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">School of Psychology</level></path><authors><author><firstname>Becky</firstname><surname>Band</surname><orcid>0000-0001-5403-1708</orcid><order>1</order></author><author><firstname>Elizabeth</firstname><surname>James</surname><order>2</order></author><author><firstname>David</firstname><surname>Culliford</surname><order>3</order></author><author><firstname>Borislav</firstname><surname>Dimitrov</surname><order>4</order></author><author><firstname>Anne</firstname><surname>Kennedy</surname><order>5</order></author><author><firstname>Anne</firstname><surname>Rogers</surname><order>6</order></author><author><firstname>Ivaylo</firstname><surname>Vassilev</surname><order>7</order></author></authors><documents><document><filename>67034__31220__b51064bd54ca472f846cc2003da4f7ca.pdf</filename><originalFilename>67034.VoR.pdf</originalFilename><uploaded>2024-09-02T14:05:51.2630766</uploaded><type>Output</type><contentLength>735377</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>© 2019 The Authors. This is an open access article under the CC BY-NC-ND license.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by-nc-nd/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling v2 67034 2024-07-09 Development of a measure of collective efficacy within personal networks: A complement to self-efficacy in self-management support? 06b53a31f254b004de8649a376ce2fbd 0000-0001-5403-1708 Becky Band Becky Band true false 2024-07-09 HSOC ObjectiveTo develop and evaluate the Collective Efficacy of Networks (CENS) questionnaire to measure perceived collective efficacy within personal social networks.MethodsA mixed methods approach was used, guided by theory and with extensive input from adults with long-term conditions who completed the initial questionnaire (n = 78) with test-retest assessed at 2 weeks (n = 68). A second sample (n = 85) completed a postal questionnaire including CENS, theoretically linked constructs (self-efficacy, social support) and health outcomes (loneliness, mental and physical health).ResultsPrincipal components analysis demonstrated a two-factor structure with 12-items selected to represent Network responsiveness (8 items, Cronbach’s alpha = 0.896) and Access to collective efficacy (4 items, Cronbach’s alpha = .773). Good test-retest reliability was established for both subscales (ricc = .793–.853). Network responsiveness was associated with self-efficacy (r = 342, p = . < 001) and social support (r = .407, p < .001) and predicted reduced loneliness. Access to collective efficacy significantly predicted better mental health; the predictive validity of the subscales improved when combined with self-efficacy.ConclusionThe CENS is an acceptable and psychometrically robust measure of collective efficacy in personal social networks.Practice implicationsMeasuring collective efficacy with self-efficacy will provide useful information for researchers and policymakers interested in capacity for self-management and social determinants of behaviour change. Journal Article Patient Education and Counseling 102 7 1389 1396 Elsevier BV 0738-3991 Collective efficacy; Social networks; Personal communities; Assessment; Psychometric evaluation 1 7 2019 2019-07-01 10.1016/j.pec.2019.02.026 COLLEGE NANME Health and Social Care School COLLEGE CODE HSOC Swansea University The research was funded by the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) Wessex. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. 2024-09-02T14:08:04.5028108 2024-07-09T15:24:34.7594664 Faculty of Medicine, Health and Life Sciences School of Psychology Becky Band 0000-0001-5403-1708 1 Elizabeth James 2 David Culliford 3 Borislav Dimitrov 4 Anne Kennedy 5 Anne Rogers 6 Ivaylo Vassilev 7 67034__31220__b51064bd54ca472f846cc2003da4f7ca.pdf 67034.VoR.pdf 2024-09-02T14:05:51.2630766 Output 735377 application/pdf Version of Record true © 2019 The Authors. This is an open access article under the CC BY-NC-ND license. true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title Development of a measure of collective efficacy within personal networks: A complement to self-efficacy in self-management support?
spellingShingle Development of a measure of collective efficacy within personal networks: A complement to self-efficacy in self-management support?
Becky Band
title_short Development of a measure of collective efficacy within personal networks: A complement to self-efficacy in self-management support?
title_full Development of a measure of collective efficacy within personal networks: A complement to self-efficacy in self-management support?
title_fullStr Development of a measure of collective efficacy within personal networks: A complement to self-efficacy in self-management support?
title_full_unstemmed Development of a measure of collective efficacy within personal networks: A complement to self-efficacy in self-management support?
title_sort Development of a measure of collective efficacy within personal networks: A complement to self-efficacy in self-management support?
author_id_str_mv 06b53a31f254b004de8649a376ce2fbd
author_id_fullname_str_mv 06b53a31f254b004de8649a376ce2fbd_***_Becky Band
author Becky Band
author2 Becky Band
Elizabeth James
David Culliford
Borislav Dimitrov
Anne Kennedy
Anne Rogers
Ivaylo Vassilev
format Journal article
container_title Patient Education and Counseling
container_volume 102
container_issue 7
container_start_page 1389
publishDate 2019
institution Swansea University
issn 0738-3991
doi_str_mv 10.1016/j.pec.2019.02.026
publisher Elsevier BV
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str School of Psychology{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}School of Psychology
document_store_str 1
active_str 0
description ObjectiveTo develop and evaluate the Collective Efficacy of Networks (CENS) questionnaire to measure perceived collective efficacy within personal social networks.MethodsA mixed methods approach was used, guided by theory and with extensive input from adults with long-term conditions who completed the initial questionnaire (n = 78) with test-retest assessed at 2 weeks (n = 68). A second sample (n = 85) completed a postal questionnaire including CENS, theoretically linked constructs (self-efficacy, social support) and health outcomes (loneliness, mental and physical health).ResultsPrincipal components analysis demonstrated a two-factor structure with 12-items selected to represent Network responsiveness (8 items, Cronbach’s alpha = 0.896) and Access to collective efficacy (4 items, Cronbach’s alpha = .773). Good test-retest reliability was established for both subscales (ricc = .793–.853). Network responsiveness was associated with self-efficacy (r = 342, p = . < 001) and social support (r = .407, p < .001) and predicted reduced loneliness. Access to collective efficacy significantly predicted better mental health; the predictive validity of the subscales improved when combined with self-efficacy.ConclusionThe CENS is an acceptable and psychometrically robust measure of collective efficacy in personal social networks.Practice implicationsMeasuring collective efficacy with self-efficacy will provide useful information for researchers and policymakers interested in capacity for self-management and social determinants of behaviour change.
published_date 2019-07-01T14:08:03Z
_version_ 1809089805070368768
score 11.036531