{"id":{"repo_id":"utmb","oai_identifier":"oai:utmb-ir.tdl.org:2152.3/12704"},"canonical_url":"https://search.dev.ndltd.org/etd/utmb/oai:utmb-ir.tdl.org:2152.3/12704","repository":{"repo_id":"utmb","name":"University of Texas Medical Branch","base_url":"https://utmb-ir.tdl.org/server/oai/request"},"display":{"title":"Quantitative Analysis of Hardiness within Night Shift Nurses: A Survey-Based Study","abstract":"The research examined the relationship between fixed night shift nurses and their level of hardiness, utilizing the Dispositional Resilience Scale (DRS-15). The study focused on nurses in acute care settings, categorized into four groups based on years of night shift experience. Employing a cross-sectional quantitative design, data was collected via an online survey including demographic questions and the DRS-15. The theoretical framework was the society-to-cells resilience theory, integrating multiple levels of analysis to understand human development. Statistical analyses included descriptive statistics, Pearson&apos;s r correlation, and one-way ANOVA. Key findings revealed that nurses working fixed night shifts for 7-9 years demonstrated the highest levels of hardiness on the DRS-15 scale. Furthermore, the analysis of the three components of hardiness, commitment, control, and challenge, showed nurses scored highest within the variable of commitment. The study contributes to the understanding of hardiness in night shift nurses, potentially informing strategies for nurse retention, improving work environments, and developing targeted interventions to enhance nurses&apos; resilience.","abstract_html":"The research examined the relationship between fixed night shift nurses and their level of hardiness, utilizing the Dispositional Resilience Scale (DRS-15). The study focused on nurses in acute care settings, categorized into four groups based on years of night shift experience. Employing a cross-sectional quantitative design, data was collected via an online survey including demographic questions and the DRS-15. The theoretical framework was the society-to-cells resilience theory, integrating multiple levels of analysis to understand human development. Statistical analyses included descriptive statistics, Pearson&amp;apos;s r correlation, and one-way ANOVA. Key findings revealed that nurses working fixed night shifts for 7-9 years demonstrated the highest levels of hardiness on the DRS-15 scale. Furthermore, the analysis of the three components of hardiness, commitment, control, and challenge, showed nurses scored highest within the variable of commitment. The study contributes to the understanding of hardiness in night shift nurses, potentially informing strategies for nurse retention, improving work environments, and developing targeted interventions to enhance nurses&amp;apos; resilience.","abstract_has_math":false,"creators":["Brunson, Megan 1973-"],"institution":"The University of Texas Medical Branch at Galveston","degree_name":"PhD in Nursing (Doctoral)","degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Verklan, mtverkla@utmb.edu"],"committee_chairs":[],"committee_members":["Rounds, lrounds@utmb.edu","Scruth, elizabeth.scruth@kp.org"],"year":2025,"date_issued":"2025-08","date_published":"2025-08","updated_at":"2026-07-24T05:50:59Z","subjects":[],"languages":["English"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2152.3/12704","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Verklan, mtverkla@utmb.edu"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Rounds, lrounds@utmb.edu","Scruth, elizabeth.scruth@kp.org"]},{"key":"dc:creator","label":"Author","values":["Brunson, Megan 1973-"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-07-07T14:00:14Z"]},{"key":"dc:date.issued","label":"Date","values":["2025-08"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["PhD in Nursing (Doctoral)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["The University of Texas Medical Branch at Galveston"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["English"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/2152.3/12704"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The research examined the relationship between fixed night shift nurses and their level of hardiness, utilizing the Dispositional Resilience Scale (DRS-15). The study focused on nurses in acute care settings, categorized into four groups based on years of night shift experience. Employing a cross-sectional quantitative design, data was collected via an online survey including demographic questions and the DRS-15. The theoretical framework was the society-to-cells resilience theory, integrating multiple levels of analysis to understand human development. Statistical analyses included descriptive statistics, Pearson&apos;s r correlation, and one-way ANOVA. Key findings revealed that nurses working fixed night shifts for 7-9 years demonstrated the highest levels of hardiness on the DRS-15 scale. Furthermore, the analysis of the three components of hardiness, commitment, control, and challenge, showed nurses scored highest within the variable of commitment. The study contributes to the understanding of hardiness in night shift nurses, potentially informing strategies for nurse retention, improving work environments, and developing targeted interventions to enhance nurses&apos; resilience."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Quantitative Analysis of Hardiness within Night Shift Nurses: A Survey-Based Study"]}]}],"canonical_facts":{"dc:contributor.advisor":["Verklan, mtverkla@utmb.edu"],"dc:contributor.committeemember":["Rounds, lrounds@utmb.edu","Scruth, elizabeth.scruth@kp.org"],"dc:creator":["Brunson, Megan 1973-"],"dc:date.accessioned":["2025-07-07T14:00:14Z"],"dc:date.issued":["2025-08"],"dc:description.abstract":["The research examined the relationship between fixed night shift nurses and their level of hardiness, utilizing the Dispositional Resilience Scale (DRS-15). The study focused on nurses in acute care settings, categorized into four groups based on years of night shift experience. Employing a cross-sectional quantitative design, data was collected via an online survey including demographic questions and the DRS-15. The theoretical framework was the society-to-cells resilience theory, integrating multiple levels of analysis to understand human development. Statistical analyses included descriptive statistics, Pearson&apos;s r correlation, and one-way ANOVA. Key findings revealed that nurses working fixed night shifts for 7-9 years demonstrated the highest levels of hardiness on the DRS-15 scale. Furthermore, the analysis of the three components of hardiness, commitment, control, and challenge, showed nurses scored highest within the variable of commitment. The study contributes to the understanding of hardiness in night shift nurses, potentially informing strategies for nurse retention, improving work environments, and developing targeted interventions to enhance nurses&apos; resilience."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["https://hdl.handle.net/2152.3/12704"],"dc:language.iso":["English"],"dc:title":["Quantitative Analysis of Hardiness within Night Shift Nurses: A Survey-Based Study"],"dc:type":["Thesis"],"thesis:degree_name":["PhD in Nursing (Doctoral)"],"thesis:institution_name":["The University of Texas Medical Branch at Galveston"]},"updated_at":"2026-07-24T05:50:59Z"}