Loading…

Designing and Testing an Inventory for Measuring Social Media Competency of Certified Health Education Specialists

Social media can promote healthy behaviors by facilitating engagement and collaboration among health professionals and the public. Thus, social media is quickly becoming a vital tool for health promotion. While guidelines and trainings exist for public health professionals, there are currently no st...

Full description

Saved in:
Bibliographic Details
Published in:Journal of medical Internet research 2015-09, Vol.17 (9), p.e221-e221
Main Authors: Alber, Julia M, Bernhardt, Jay M, Stellefson, Michael, Weiler, Robert M, Anderson-Lewis, Charkarra, Miller, M David, MacInnes, Jann
Format: Article
Language:English
Subjects:
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-c504t-beb3ae95fda236a7441d00c7e1b51be6b51eee3e4b9942ab3e2daede2c1540183
cites cdi_FETCH-LOGICAL-c504t-beb3ae95fda236a7441d00c7e1b51be6b51eee3e4b9942ab3e2daede2c1540183
container_end_page e221
container_issue 9
container_start_page e221
container_title Journal of medical Internet research
container_volume 17
creator Alber, Julia M
Bernhardt, Jay M
Stellefson, Michael
Weiler, Robert M
Anderson-Lewis, Charkarra
Miller, M David
MacInnes, Jann
description Social media can promote healthy behaviors by facilitating engagement and collaboration among health professionals and the public. Thus, social media is quickly becoming a vital tool for health promotion. While guidelines and trainings exist for public health professionals, there are currently no standardized measures to assess individual social media competency among Certified Health Education Specialists (CHES) and Master Certified Health Education Specialists (MCHES). The aim of this study was to design, develop, and test the Social Media Competency Inventory (SMCI) for CHES and MCHES. The SMCI was designed in three sequential phases: (1) Conceptualization and Domain Specifications, (2) Item Development, and (3) Inventory Testing and Finalization. Phase 1 consisted of a literature review, concept operationalization, and expert reviews. Phase 2 involved an expert panel (n=4) review, think-aloud sessions with a small representative sample of CHES/MCHES (n=10), a pilot test (n=36), and classical test theory analyses to develop the initial version of the SMCI. Phase 3 included a field test of the SMCI with a random sample of CHES and MCHES (n=353), factor and Rasch analyses, and development of SMCI administration and interpretation guidelines. Six constructs adapted from the unified theory of acceptance and use of technology and the integrated behavioral model were identified for assessing social media competency: (1) Social Media Self-Efficacy, (2) Social Media Experience, (3) Effort Expectancy, (4) Performance Expectancy, (5) Facilitating Conditions, and (6) Social Influence. The initial item pool included 148 items. After the pilot test, 16 items were removed or revised because of low item discrimination (r.90), or based on feedback received from pilot participants. During the psychometric analysis of the field test data, 52 items were removed due to low discrimination, evidence of content redundancy, low R-squared value, or poor item infit or outfit. Psychometric analyses of the data revealed acceptable reliability evidence for the following scales: Social Media Self-Efficacy (alpha=.98, item reliability=.98, item separation=6.76), Social Media Experience (alpha=.98, item reliability=.98, item separation=6.24), Effort Expectancy(alpha =.74, item reliability=.95, item separation=4.15), Performance Expectancy (alpha =.81, item reliability=.99, item separation=10.09), Facilitating Conditions (alpha =.66, item reliabili
doi_str_mv 10.2196/jmir.4943
format article
fullrecord <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4642407</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A769355633</galeid><sourcerecordid>A769355633</sourcerecordid><originalsourceid>FETCH-LOGICAL-c504t-beb3ae95fda236a7441d00c7e1b51be6b51eee3e4b9942ab3e2daede2c1540183</originalsourceid><addsrcrecordid>eNptkk1v1DAQhiMEoqVw4A8gS1zawy7-SpxckKql0JUKHLacLceepF4l9mI7Ffvv66ildFFlyR7NPPNaM3qL4j3BS0qa6tN2tGHJG85eFMeEs3pR14K8fBIfFW9i3GJMMW_I6-KIVqxpOK2Pi_AFou2ddT1SzqBriOk-Rmt3Cy75sEedD-g7qDiFubTx2qohJ4xVaOXHHSRweo98h1YQku0sGHQJakg36MJMWiXrHdrsYG6zMcW3xatODRHePbwnxa-vF9ery8XVz2_r1fnVQpeYp0ULLVPQlJ1RlFVKcE4MxloAaUvSQpVvAGDA23kU1TKgRoEBqknJManZSfH5Xnc3tSMYnacJapC7YEcV9tIrKw8rzt7I3t9KXnHKscgCpw8Cwf-e8mbkaKOGYVAO_BQlEURwwcsSZ_Tjf-jWT8Hl8SQtCa0ZE7X4R_VqAGld5_O_ehaV56JqWFlWjGVq-QyVj4HRau-gszl_0HB20JCZBH9Sr6YY5Xrz41lWBx9jgO5xHwTL2UxyNpOczZTZD08X-Ej-dQ-7A-WFxX0</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2512833787</pqid></control><display><type>article</type><title>Designing and Testing an Inventory for Measuring Social Media Competency of Certified Health Education Specialists</title><source>Applied Social Sciences Index &amp; Abstracts (ASSIA)</source><source>Library &amp; Information Science Abstracts (LISA)</source><source>PMC (PubMed Central)</source><source>Social Science Premium Collection</source><source>Library &amp; Information Science Collection</source><source>Publicly Available Content (ProQuest)</source><creator>Alber, Julia M ; Bernhardt, Jay M ; Stellefson, Michael ; Weiler, Robert M ; Anderson-Lewis, Charkarra ; Miller, M David ; MacInnes, Jann</creator><creatorcontrib>Alber, Julia M ; Bernhardt, Jay M ; Stellefson, Michael ; Weiler, Robert M ; Anderson-Lewis, Charkarra ; Miller, M David ; MacInnes, Jann</creatorcontrib><description>Social media can promote healthy behaviors by facilitating engagement and collaboration among health professionals and the public. Thus, social media is quickly becoming a vital tool for health promotion. While guidelines and trainings exist for public health professionals, there are currently no standardized measures to assess individual social media competency among Certified Health Education Specialists (CHES) and Master Certified Health Education Specialists (MCHES). The aim of this study was to design, develop, and test the Social Media Competency Inventory (SMCI) for CHES and MCHES. The SMCI was designed in three sequential phases: (1) Conceptualization and Domain Specifications, (2) Item Development, and (3) Inventory Testing and Finalization. Phase 1 consisted of a literature review, concept operationalization, and expert reviews. Phase 2 involved an expert panel (n=4) review, think-aloud sessions with a small representative sample of CHES/MCHES (n=10), a pilot test (n=36), and classical test theory analyses to develop the initial version of the SMCI. Phase 3 included a field test of the SMCI with a random sample of CHES and MCHES (n=353), factor and Rasch analyses, and development of SMCI administration and interpretation guidelines. Six constructs adapted from the unified theory of acceptance and use of technology and the integrated behavioral model were identified for assessing social media competency: (1) Social Media Self-Efficacy, (2) Social Media Experience, (3) Effort Expectancy, (4) Performance Expectancy, (5) Facilitating Conditions, and (6) Social Influence. The initial item pool included 148 items. After the pilot test, 16 items were removed or revised because of low item discrimination (r&lt;.30), high interitem correlations (Ρ&gt;.90), or based on feedback received from pilot participants. During the psychometric analysis of the field test data, 52 items were removed due to low discrimination, evidence of content redundancy, low R-squared value, or poor item infit or outfit. Psychometric analyses of the data revealed acceptable reliability evidence for the following scales: Social Media Self-Efficacy (alpha=.98, item reliability=.98, item separation=6.76), Social Media Experience (alpha=.98, item reliability=.98, item separation=6.24), Effort Expectancy(alpha =.74, item reliability=.95, item separation=4.15), Performance Expectancy (alpha =.81, item reliability=.99, item separation=10.09), Facilitating Conditions (alpha =.66, item reliability=.99, item separation=16.04), and Social Influence (alpha =.66, item reliability=.93, item separation=3.77). There was some evidence of local dependence among the scales, with several observed residual correlations above |.20|. Through the multistage instrument-development process, sufficient reliability and validity evidence was collected in support of the purpose and intended use of the SMCI. The SMCI can be used to assess the readiness of health education specialists to effectively use social media for health promotion research and practice. Future research should explore associations across constructs within the SMCI and evaluate the ability of SMCI scores to predict social media use and performance among CHES and MCHES.</description><identifier>ISSN: 1438-8871</identifier><identifier>ISSN: 1439-4456</identifier><identifier>EISSN: 1438-8871</identifier><identifier>DOI: 10.2196/jmir.4943</identifier><identifier>PMID: 26399428</identifier><language>eng</language><publisher>Canada: Journal of Medical Internet Research</publisher><subject>Adult ; Classical test theory ; Collaboration ; Communication ; Competence ; Computer industry ; Discrimination ; Disease control ; Empowerment ; Female ; Health Behavior ; Health care ; Health education ; Health Education - manpower ; Health Education - standards ; Health promotion ; Health Promotion - methods ; Health Promotion - standards ; Health status ; Healthy habits ; Humans ; Influence ; Information technology ; Literature reviews ; Male ; Measurement ; Medical personnel ; Original Paper ; Professional Competence - standards ; Professionals ; Psychometrics ; Public health ; Public health education ; Rasch model ; Redundancy ; Reliability ; Reproducibility of Results ; Responsibilities ; Self Efficacy ; Social media ; Social Media - standards ; Social networks ; Social research ; Specialists ; Specialization - standards ; Technology ; Training ; User behavior ; User generated content ; Web 2.0</subject><ispartof>Journal of medical Internet research, 2015-09, Vol.17 (9), p.e221-e221</ispartof><rights>COPYRIGHT 2015 Journal of Medical Internet Research</rights><rights>2015. This work is licensed under http://creativecommons.org/licenses/by/2.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Julia M Alber, Jay M Bernhardt, Michael Stellefson, Robert M Weiler, Charkarra Anderson-Lewis, M David Miller, Jann MacInnes. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 23.09.2015. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c504t-beb3ae95fda236a7441d00c7e1b51be6b51eee3e4b9942ab3e2daede2c1540183</citedby><cites>FETCH-LOGICAL-c504t-beb3ae95fda236a7441d00c7e1b51be6b51eee3e4b9942ab3e2daede2c1540183</cites><orcidid>0000-0002-0822-846X ; 0000-0002-2045-4005 ; 0000-0002-5112-9328 ; 0000-0002-3506-1167 ; 0000-0003-3976-2996 ; 0000-0003-1717-4114 ; 0000-0002-4015-5598</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2512833787/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2512833787?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,883,12833,21368,21381,25740,27292,27911,27912,30986,33598,33599,33893,33894,34122,36999,37000,43720,43879,44577,73976,74164,74881</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26399428$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Alber, Julia M</creatorcontrib><creatorcontrib>Bernhardt, Jay M</creatorcontrib><creatorcontrib>Stellefson, Michael</creatorcontrib><creatorcontrib>Weiler, Robert M</creatorcontrib><creatorcontrib>Anderson-Lewis, Charkarra</creatorcontrib><creatorcontrib>Miller, M David</creatorcontrib><creatorcontrib>MacInnes, Jann</creatorcontrib><title>Designing and Testing an Inventory for Measuring Social Media Competency of Certified Health Education Specialists</title><title>Journal of medical Internet research</title><addtitle>J Med Internet Res</addtitle><description>Social media can promote healthy behaviors by facilitating engagement and collaboration among health professionals and the public. Thus, social media is quickly becoming a vital tool for health promotion. While guidelines and trainings exist for public health professionals, there are currently no standardized measures to assess individual social media competency among Certified Health Education Specialists (CHES) and Master Certified Health Education Specialists (MCHES). The aim of this study was to design, develop, and test the Social Media Competency Inventory (SMCI) for CHES and MCHES. The SMCI was designed in three sequential phases: (1) Conceptualization and Domain Specifications, (2) Item Development, and (3) Inventory Testing and Finalization. Phase 1 consisted of a literature review, concept operationalization, and expert reviews. Phase 2 involved an expert panel (n=4) review, think-aloud sessions with a small representative sample of CHES/MCHES (n=10), a pilot test (n=36), and classical test theory analyses to develop the initial version of the SMCI. Phase 3 included a field test of the SMCI with a random sample of CHES and MCHES (n=353), factor and Rasch analyses, and development of SMCI administration and interpretation guidelines. Six constructs adapted from the unified theory of acceptance and use of technology and the integrated behavioral model were identified for assessing social media competency: (1) Social Media Self-Efficacy, (2) Social Media Experience, (3) Effort Expectancy, (4) Performance Expectancy, (5) Facilitating Conditions, and (6) Social Influence. The initial item pool included 148 items. After the pilot test, 16 items were removed or revised because of low item discrimination (r&lt;.30), high interitem correlations (Ρ&gt;.90), or based on feedback received from pilot participants. During the psychometric analysis of the field test data, 52 items were removed due to low discrimination, evidence of content redundancy, low R-squared value, or poor item infit or outfit. Psychometric analyses of the data revealed acceptable reliability evidence for the following scales: Social Media Self-Efficacy (alpha=.98, item reliability=.98, item separation=6.76), Social Media Experience (alpha=.98, item reliability=.98, item separation=6.24), Effort Expectancy(alpha =.74, item reliability=.95, item separation=4.15), Performance Expectancy (alpha =.81, item reliability=.99, item separation=10.09), Facilitating Conditions (alpha =.66, item reliability=.99, item separation=16.04), and Social Influence (alpha =.66, item reliability=.93, item separation=3.77). There was some evidence of local dependence among the scales, with several observed residual correlations above |.20|. Through the multistage instrument-development process, sufficient reliability and validity evidence was collected in support of the purpose and intended use of the SMCI. The SMCI can be used to assess the readiness of health education specialists to effectively use social media for health promotion research and practice. Future research should explore associations across constructs within the SMCI and evaluate the ability of SMCI scores to predict social media use and performance among CHES and MCHES.</description><subject>Adult</subject><subject>Classical test theory</subject><subject>Collaboration</subject><subject>Communication</subject><subject>Competence</subject><subject>Computer industry</subject><subject>Discrimination</subject><subject>Disease control</subject><subject>Empowerment</subject><subject>Female</subject><subject>Health Behavior</subject><subject>Health care</subject><subject>Health education</subject><subject>Health Education - manpower</subject><subject>Health Education - standards</subject><subject>Health promotion</subject><subject>Health Promotion - methods</subject><subject>Health Promotion - standards</subject><subject>Health status</subject><subject>Healthy habits</subject><subject>Humans</subject><subject>Influence</subject><subject>Information technology</subject><subject>Literature reviews</subject><subject>Male</subject><subject>Measurement</subject><subject>Medical personnel</subject><subject>Original Paper</subject><subject>Professional Competence - standards</subject><subject>Professionals</subject><subject>Psychometrics</subject><subject>Public health</subject><subject>Public health education</subject><subject>Rasch model</subject><subject>Redundancy</subject><subject>Reliability</subject><subject>Reproducibility of Results</subject><subject>Responsibilities</subject><subject>Self Efficacy</subject><subject>Social media</subject><subject>Social Media - standards</subject><subject>Social networks</subject><subject>Social research</subject><subject>Specialists</subject><subject>Specialization - standards</subject><subject>Technology</subject><subject>Training</subject><subject>User behavior</subject><subject>User generated content</subject><subject>Web 2.0</subject><issn>1438-8871</issn><issn>1439-4456</issn><issn>1438-8871</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>ALSLI</sourceid><sourceid>CNYFK</sourceid><sourceid>F2A</sourceid><sourceid>M1O</sourceid><sourceid>PIMPY</sourceid><recordid>eNptkk1v1DAQhiMEoqVw4A8gS1zawy7-SpxckKql0JUKHLacLceepF4l9mI7Ffvv66ildFFlyR7NPPNaM3qL4j3BS0qa6tN2tGHJG85eFMeEs3pR14K8fBIfFW9i3GJMMW_I6-KIVqxpOK2Pi_AFou2ddT1SzqBriOk-Rmt3Cy75sEedD-g7qDiFubTx2qohJ4xVaOXHHSRweo98h1YQku0sGHQJakg36MJMWiXrHdrsYG6zMcW3xatODRHePbwnxa-vF9ery8XVz2_r1fnVQpeYp0ULLVPQlJ1RlFVKcE4MxloAaUvSQpVvAGDA23kU1TKgRoEBqknJManZSfH5Xnc3tSMYnacJapC7YEcV9tIrKw8rzt7I3t9KXnHKscgCpw8Cwf-e8mbkaKOGYVAO_BQlEURwwcsSZ_Tjf-jWT8Hl8SQtCa0ZE7X4R_VqAGld5_O_ehaV56JqWFlWjGVq-QyVj4HRau-gszl_0HB20JCZBH9Sr6YY5Xrz41lWBx9jgO5xHwTL2UxyNpOczZTZD08X-Ej-dQ-7A-WFxX0</recordid><startdate>20150901</startdate><enddate>20150901</enddate><creator>Alber, Julia M</creator><creator>Bernhardt, Jay M</creator><creator>Stellefson, Michael</creator><creator>Weiler, Robert M</creator><creator>Anderson-Lewis, Charkarra</creator><creator>Miller, M David</creator><creator>MacInnes, Jann</creator><general>Journal of Medical Internet Research</general><general>Gunther Eysenbach MD MPH, Associate Professor</general><general>JMIR Publications Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISN</scope><scope>3V.</scope><scope>7QJ</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</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>CNYFK</scope><scope>DWQXO</scope><scope>E3H</scope><scope>F2A</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1O</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><orcidid>https://orcid.org/0000-0002-0822-846X</orcidid><orcidid>https://orcid.org/0000-0002-2045-4005</orcidid><orcidid>https://orcid.org/0000-0002-5112-9328</orcidid><orcidid>https://orcid.org/0000-0002-3506-1167</orcidid><orcidid>https://orcid.org/0000-0003-3976-2996</orcidid><orcidid>https://orcid.org/0000-0003-1717-4114</orcidid><orcidid>https://orcid.org/0000-0002-4015-5598</orcidid></search><sort><creationdate>20150901</creationdate><title>Designing and Testing an Inventory for Measuring Social Media Competency of Certified Health Education Specialists</title><author>Alber, Julia M ; Bernhardt, Jay M ; Stellefson, Michael ; Weiler, Robert M ; Anderson-Lewis, Charkarra ; Miller, M David ; MacInnes, Jann</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c504t-beb3ae95fda236a7441d00c7e1b51be6b51eee3e4b9942ab3e2daede2c1540183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Classical test theory</topic><topic>Collaboration</topic><topic>Communication</topic><topic>Competence</topic><topic>Computer industry</topic><topic>Discrimination</topic><topic>Disease control</topic><topic>Empowerment</topic><topic>Female</topic><topic>Health Behavior</topic><topic>Health care</topic><topic>Health education</topic><topic>Health Education - manpower</topic><topic>Health Education - standards</topic><topic>Health promotion</topic><topic>Health Promotion - methods</topic><topic>Health Promotion - standards</topic><topic>Health status</topic><topic>Healthy habits</topic><topic>Humans</topic><topic>Influence</topic><topic>Information technology</topic><topic>Literature reviews</topic><topic>Male</topic><topic>Measurement</topic><topic>Medical personnel</topic><topic>Original Paper</topic><topic>Professional Competence - standards</topic><topic>Professionals</topic><topic>Psychometrics</topic><topic>Public health</topic><topic>Public health education</topic><topic>Rasch model</topic><topic>Redundancy</topic><topic>Reliability</topic><topic>Reproducibility of Results</topic><topic>Responsibilities</topic><topic>Self Efficacy</topic><topic>Social media</topic><topic>Social Media - standards</topic><topic>Social networks</topic><topic>Social research</topic><topic>Specialists</topic><topic>Specialization - standards</topic><topic>Technology</topic><topic>Training</topic><topic>User behavior</topic><topic>User generated content</topic><topic>Web 2.0</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alber, Julia M</creatorcontrib><creatorcontrib>Bernhardt, Jay M</creatorcontrib><creatorcontrib>Stellefson, Michael</creatorcontrib><creatorcontrib>Weiler, Robert M</creatorcontrib><creatorcontrib>Anderson-Lewis, Charkarra</creatorcontrib><creatorcontrib>Miller, M David</creatorcontrib><creatorcontrib>MacInnes, Jann</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Canada</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index &amp; Abstracts (ASSIA)</collection><collection>ProQuest Nursing and Allied Health Source</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</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>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Library &amp; Information Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Library &amp; Information Sciences Abstracts (LISA)</collection><collection>Library &amp; Information Science Abstracts (LISA)</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>Library Science Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Publicly Available Content (ProQuest)</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><jtitle>Journal of medical Internet research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alber, Julia M</au><au>Bernhardt, Jay M</au><au>Stellefson, Michael</au><au>Weiler, Robert M</au><au>Anderson-Lewis, Charkarra</au><au>Miller, M David</au><au>MacInnes, Jann</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Designing and Testing an Inventory for Measuring Social Media Competency of Certified Health Education Specialists</atitle><jtitle>Journal of medical Internet research</jtitle><addtitle>J Med Internet Res</addtitle><date>2015-09-01</date><risdate>2015</risdate><volume>17</volume><issue>9</issue><spage>e221</spage><epage>e221</epage><pages>e221-e221</pages><issn>1438-8871</issn><issn>1439-4456</issn><eissn>1438-8871</eissn><abstract>Social media can promote healthy behaviors by facilitating engagement and collaboration among health professionals and the public. Thus, social media is quickly becoming a vital tool for health promotion. While guidelines and trainings exist for public health professionals, there are currently no standardized measures to assess individual social media competency among Certified Health Education Specialists (CHES) and Master Certified Health Education Specialists (MCHES). The aim of this study was to design, develop, and test the Social Media Competency Inventory (SMCI) for CHES and MCHES. The SMCI was designed in three sequential phases: (1) Conceptualization and Domain Specifications, (2) Item Development, and (3) Inventory Testing and Finalization. Phase 1 consisted of a literature review, concept operationalization, and expert reviews. Phase 2 involved an expert panel (n=4) review, think-aloud sessions with a small representative sample of CHES/MCHES (n=10), a pilot test (n=36), and classical test theory analyses to develop the initial version of the SMCI. Phase 3 included a field test of the SMCI with a random sample of CHES and MCHES (n=353), factor and Rasch analyses, and development of SMCI administration and interpretation guidelines. Six constructs adapted from the unified theory of acceptance and use of technology and the integrated behavioral model were identified for assessing social media competency: (1) Social Media Self-Efficacy, (2) Social Media Experience, (3) Effort Expectancy, (4) Performance Expectancy, (5) Facilitating Conditions, and (6) Social Influence. The initial item pool included 148 items. After the pilot test, 16 items were removed or revised because of low item discrimination (r&lt;.30), high interitem correlations (Ρ&gt;.90), or based on feedback received from pilot participants. During the psychometric analysis of the field test data, 52 items were removed due to low discrimination, evidence of content redundancy, low R-squared value, or poor item infit or outfit. Psychometric analyses of the data revealed acceptable reliability evidence for the following scales: Social Media Self-Efficacy (alpha=.98, item reliability=.98, item separation=6.76), Social Media Experience (alpha=.98, item reliability=.98, item separation=6.24), Effort Expectancy(alpha =.74, item reliability=.95, item separation=4.15), Performance Expectancy (alpha =.81, item reliability=.99, item separation=10.09), Facilitating Conditions (alpha =.66, item reliability=.99, item separation=16.04), and Social Influence (alpha =.66, item reliability=.93, item separation=3.77). There was some evidence of local dependence among the scales, with several observed residual correlations above |.20|. Through the multistage instrument-development process, sufficient reliability and validity evidence was collected in support of the purpose and intended use of the SMCI. The SMCI can be used to assess the readiness of health education specialists to effectively use social media for health promotion research and practice. Future research should explore associations across constructs within the SMCI and evaluate the ability of SMCI scores to predict social media use and performance among CHES and MCHES.</abstract><cop>Canada</cop><pub>Journal of Medical Internet Research</pub><pmid>26399428</pmid><doi>10.2196/jmir.4943</doi><orcidid>https://orcid.org/0000-0002-0822-846X</orcidid><orcidid>https://orcid.org/0000-0002-2045-4005</orcidid><orcidid>https://orcid.org/0000-0002-5112-9328</orcidid><orcidid>https://orcid.org/0000-0002-3506-1167</orcidid><orcidid>https://orcid.org/0000-0003-3976-2996</orcidid><orcidid>https://orcid.org/0000-0003-1717-4114</orcidid><orcidid>https://orcid.org/0000-0002-4015-5598</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1438-8871
ispartof Journal of medical Internet research, 2015-09, Vol.17 (9), p.e221-e221
issn 1438-8871
1439-4456
1438-8871
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4642407
source Applied Social Sciences Index & Abstracts (ASSIA); Library & Information Science Abstracts (LISA); PMC (PubMed Central); Social Science Premium Collection; Library & Information Science Collection; Publicly Available Content (ProQuest)
subjects Adult
Classical test theory
Collaboration
Communication
Competence
Computer industry
Discrimination
Disease control
Empowerment
Female
Health Behavior
Health care
Health education
Health Education - manpower
Health Education - standards
Health promotion
Health Promotion - methods
Health Promotion - standards
Health status
Healthy habits
Humans
Influence
Information technology
Literature reviews
Male
Measurement
Medical personnel
Original Paper
Professional Competence - standards
Professionals
Psychometrics
Public health
Public health education
Rasch model
Redundancy
Reliability
Reproducibility of Results
Responsibilities
Self Efficacy
Social media
Social Media - standards
Social networks
Social research
Specialists
Specialization - standards
Technology
Training
User behavior
User generated content
Web 2.0
title Designing and Testing an Inventory for Measuring Social Media Competency of Certified Health Education Specialists
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T01%3A21%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Designing%20and%20Testing%20an%20Inventory%20for%20Measuring%20Social%20Media%20Competency%20of%20Certified%20Health%20Education%20Specialists&rft.jtitle=Journal%20of%20medical%20Internet%20research&rft.au=Alber,%20Julia%20M&rft.date=2015-09-01&rft.volume=17&rft.issue=9&rft.spage=e221&rft.epage=e221&rft.pages=e221-e221&rft.issn=1438-8871&rft.eissn=1438-8871&rft_id=info:doi/10.2196/jmir.4943&rft_dat=%3Cgale_pubme%3EA769355633%3C/gale_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c504t-beb3ae95fda236a7441d00c7e1b51be6b51eee3e4b9942ab3e2daede2c1540183%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2512833787&rft_id=info:pmid/26399428&rft_galeid=A769355633&rfr_iscdi=true