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...
Saved in:
Published in: | Journal of medical Internet research 2015-09, Vol.17 (9), p.e221-e221 |
---|---|
Main Authors: | , , , , , , |
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 & Abstracts (ASSIA)</source><source>Library & Information Science Abstracts (LISA)</source><source>PMC (PubMed Central)</source><source>Social Science Premium Collection</source><source>Library & 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<.30), high interitem correlations (Ρ>.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<.30), high interitem correlations (Ρ>.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 & 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 & Information Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Library Science Database</collection><collection>Nursing & 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<.30), high interitem correlations (Ρ>.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 |