{"id":{"repo_id":"baylor","oai_identifier":"oai:baylor-ir.tdl.org:2104/12883"},"canonical_url":"https://search.dev.ndltd.org/etd/baylor/oai:baylor-ir.tdl.org:2104/12883","repository":{"repo_id":"baylor","name":"Baylor University","base_url":"https://baylor-ir.tdl.org/server/oai/request"},"display":{"title":"Psychometric validation of the Collaboration Maturity Model (Col-MM) with credit union employees.","abstract":"To meet the demands of an increasingly volatile, uncertain, complex, and ambiguous environment, organizations have had access to abundant information about best practices and tools needed to build effective team collaboration. However, they have not been able to determine the adequacy of their collaboration maturity efforts at the team level to guide their collaboration development. I validated the survey metrics of the only team Collaboration Maturity Model (Col-MM) that organizations can universally apply and benchmark. I evaluated the metrics presented in the Col-MM conceptual theory by Boughzala and de Vreede (2015). I considered the survey metrics, applying item and scale adjustments to improve clarity while staying true to the original conceptual theory and intent. To validate the adjustments made, I performed a Content Validity Analysis by collaborating with eleven subject matter experts to ensure adherence to the original theory, predict participant comprehension, and represent the entire team collaboration maturity construct. Following a survey of credit union employees, I performed a psychometric evaluation to affirm metric validity. I utilized an Exploratory Factor Analysis (EFA) to establish an initial factor structure by determining the fewest factors and survey items that explain the construct and structure among the survey items. Two Confirmatory Factor Analyses (CFAs) validated the initial factor and instrument structures proposed in the EFA for each factor individually and the overall construct. In concert with the EFA, the CFAs also found that statistically, survey items loaded best on three factors; collaboration characteristics, collaboration management, and collaboration processes, rather than on four factors earlier postulated in theory. Finally, I established measure reliability using Cronbach's Alpha and Pearson's r testing. The investigation revealed that the Col-MM survey metrics are valid, thus providing a valid, reliable, and benchmarkable instrument with broad applicability for organizations of all types and sizes as they evaluate team collaboration maturity.","abstract_html":"To meet the demands of an increasingly volatile, uncertain, complex, and ambiguous environment, organizations have had access to abundant information about best practices and tools needed to build effective team collaboration. However, they have not been able to determine the adequacy of their collaboration maturity efforts at the team level to guide their collaboration development. I validated the survey metrics of the only team Collaboration Maturity Model (Col-MM) that organizations can universally apply and benchmark. I evaluated the metrics presented in the Col-MM conceptual theory by Boughzala and de Vreede (2015). I considered the survey metrics, applying item and scale adjustments to improve clarity while staying true to the original conceptual theory and intent. To validate the adjustments made, I performed a Content Validity Analysis by collaborating with eleven subject matter experts to ensure adherence to the original theory, predict participant comprehension, and represent the entire team collaboration maturity construct. Following a survey of credit union employees, I performed a psychometric evaluation to affirm metric validity. I utilized an Exploratory Factor Analysis (EFA) to establish an initial factor structure by determining the fewest factors and survey items that explain the construct and structure among the survey items. Two Confirmatory Factor Analyses (CFAs) validated the initial factor and instrument structures proposed in the EFA for each factor individually and the overall construct. In concert with the EFA, the CFAs also found that statistically, survey items loaded best on three factors; collaboration characteristics, collaboration management, and collaboration processes, rather than on four factors earlier postulated in theory. Finally, I established measure reliability using Cronbach's Alpha and Pearson's r testing. The investigation revealed that the Col-MM survey metrics are valid, thus providing a valid, reliable, and benchmarkable instrument with broad applicability for organizations of all types and sizes as they evaluate team collaboration maturity.","abstract_has_math":false,"creators":["Dunkel, Tony, 1947-"],"institution":"Baylor University.","degree_name":"Ed.D.","degree_level":"Doctoral","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Gibson, Ashley Nicole, 1985-"],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-12","date_published":"2023-12","updated_at":"2026-07-24T01:08:16Z","subjects":["Collaboration maturity model (Col-MM)","Team collaboration.","Collaboration maturity.","Collaboration management.","Collaboration characteristics.","Collaboration processes."],"languages":["en"],"rights":["Baylor University works are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2104/12883","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Gibson, Ashley Nicole, 1985-"]},{"key":"dc:creator","label":"Author","values":["Dunkel, Tony, 1947-"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2024-07-30T12:44:27Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2024-07-30T12:44:27Z"]},{"key":"dc:date.issued","label":"Date","values":["2023-12"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Doctoral"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ed.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Baylor University."]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Collaboration maturity model (Col-MM)","Team collaboration.","Collaboration maturity.","Collaboration management.","Collaboration characteristics.","Collaboration processes."]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Baylor University works are protected by copyright. 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I validated the survey metrics of the only team Collaboration Maturity Model (Col-MM) that organizations can universally apply and benchmark. I evaluated the metrics presented in the Col-MM conceptual theory by Boughzala and de Vreede (2015). I considered the survey metrics, applying item and scale adjustments to improve clarity while staying true to the original conceptual theory and intent. To validate the adjustments made, I performed a Content Validity Analysis by collaborating with eleven subject matter experts to ensure adherence to the original theory, predict participant comprehension, and represent the entire team collaboration maturity construct. Following a survey of credit union employees, I performed a psychometric evaluation to affirm metric validity. I utilized an Exploratory Factor Analysis (EFA) to establish an initial factor structure by determining the fewest factors and survey items that explain the construct and structure among the survey items. Two Confirmatory Factor Analyses (CFAs) validated the initial factor and instrument structures proposed in the EFA for each factor individually and the overall construct. In concert with the EFA, the CFAs also found that statistically, survey items loaded best on three factors; collaboration characteristics, collaboration management, and collaboration processes, rather than on four factors earlier postulated in theory. Finally, I established measure reliability using Cronbach's Alpha and Pearson's r testing. The investigation revealed that the Col-MM survey metrics are valid, thus providing a valid, reliable, and benchmarkable instrument with broad applicability for organizations of all types and sizes as they evaluate team collaboration maturity."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Psychometric validation of the Collaboration Maturity Model (Col-MM) with credit union employees."]}]}],"canonical_facts":{"dc:contributor.advisor":["Gibson, Ashley Nicole, 1985-"],"dc:creator":["Dunkel, Tony, 1947-"],"dc:date.accessioned":["2024-07-30T12:44:27Z"],"dc:date.available":["2024-07-30T12:44:27Z"],"dc:date.issued":["2023-12"],"dc:description.abstract":["To meet the demands of an increasingly volatile, uncertain, complex, and ambiguous environment, organizations have had access to abundant information about best practices and tools needed to build effective team collaboration. However, they have not been able to determine the adequacy of their collaboration maturity efforts at the team level to guide their collaboration development. I validated the survey metrics of the only team Collaboration Maturity Model (Col-MM) that organizations can universally apply and benchmark. I evaluated the metrics presented in the Col-MM conceptual theory by Boughzala and de Vreede (2015). I considered the survey metrics, applying item and scale adjustments to improve clarity while staying true to the original conceptual theory and intent. To validate the adjustments made, I performed a Content Validity Analysis by collaborating with eleven subject matter experts to ensure adherence to the original theory, predict participant comprehension, and represent the entire team collaboration maturity construct. Following a survey of credit union employees, I performed a psychometric evaluation to affirm metric validity. I utilized an Exploratory Factor Analysis (EFA) to establish an initial factor structure by determining the fewest factors and survey items that explain the construct and structure among the survey items. Two Confirmatory Factor Analyses (CFAs) validated the initial factor and instrument structures proposed in the EFA for each factor individually and the overall construct. In concert with the EFA, the CFAs also found that statistically, survey items loaded best on three factors; collaboration characteristics, collaboration management, and collaboration processes, rather than on four factors earlier postulated in theory. Finally, I established measure reliability using Cronbach's Alpha and Pearson's r testing. The investigation revealed that the Col-MM survey metrics are valid, thus providing a valid, reliable, and benchmarkable instrument with broad applicability for organizations of all types and sizes as they evaluate team collaboration maturity."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["https://hdl.handle.net/2104/12883"],"dc:language.iso":["en"],"dc:rights":["Baylor University works are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission."],"dc:subject":["Collaboration maturity model (Col-MM)","Team collaboration.","Collaboration maturity.","Collaboration management.","Collaboration characteristics.","Collaboration processes."],"dc:title":["Psychometric validation of the Collaboration Maturity Model (Col-MM) with credit union employees."],"dc:type":["Thesis"],"thesis:degree_level":["Doctoral"],"thesis:degree_name":["Ed.D."],"thesis:institution_name":["Baylor University."]},"updated_at":"2026-07-24T01:08:16Z"}