Araştırma Makalesi
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Spontaneous Disaster Volunteer Selection Scale: Validity and Reliability Assessment

Yıl 2025, Cilt: 14 Sayı: 5, 2630 - 2652, 31.12.2025
https://doi.org/10.15869/itobiad.1711975

Öz

Although disaster management practices have advanced considerably in recent years, citizens who are the first to arrive at the disaster scene—due to geographical proximity and a strong motivation to help—continue to play critical roles in emergency response processes. Contemporary disaster management has evolved into a multi-actor framework involving professional response teams, volunteers, civil society organizations, and active citizens. Voluntary engagement has become an indispensable complement to public response capacity, particularly in sudden-onset and large-scale disasters. Nevertheless, the structural criteria governing volunteer participation in disaster response in many countries remain ambiguous. For effective integration, it is essential to establish systematic components such as selection protocols, training standards, role definitions, and responsibility frameworks. In this context, the present study aims to contribute to the development of an effective volunteer selection approach in disaster settings in Türkiye by evaluating the Turkish adaptation, validity, and reliability of the Spontaneous Volunteer Selection Scale developed by Martínez et al. (2021). The target population consisted of students at Erzurum Technical University, and a non-probability convenience sampling method was employed. To minimize sampling error, the sample size was determined to be 417 participants. The instrument was distributed online and in person during the data collection phase, and responses were collected in both digital and printed formats. The original scale was translated into Turkish following established linguistic and cultural validation procedures and subsequently pilot-tested. To assess construct validity, exploratory factor analysis (EFA) was initially conducted, followed by confirmatory factor analysis (CFA) to verify the resulting factor structure. Internal consistency reliability was examined using Cronbach's alpha coefficient. EFA results revealed that five subdimensions explained 55.23% of the total variance. The CFA confirmed acceptable model fit indices for the 24-item, 5-factor structure (χ²/df = 2.229; CFI = 0.91; IFI = 0.91; GFI = 0.90; AGFI = 0.87; RMSEA = 0.054). The overall internal consistency was high (Cronbach's α = 0.88). Based on the findings, the Turkish version of the scale was confirmed to be a valid and reliable instrument comprising five dimensions—Knowledge, Skills/Capabilities, Behavior, Motivation, and Social Desirability—across 24 items.

Etik Beyan

It is declared that scientific and ethical principles have been followed while carrying out and writing this study and that all the sources used have been properly cited. (Erzurum Technical University Rectorate, Scientific Research and Publication Ethics Committee Decision was taken with the decision dated 07.11.2024, numbered 14/16 of the Presidency of the Publication Ethics Committee.)

Teşekkür

I would like to express my sincere gratitude to Pablo Martínez, Daniela Jaime, Monica Moreno, Daniela Contreras, Carolina Bonacic and Mauricio Marín, who contributed the original form to the literature, which made it possible to conduct the study.

Kaynakça

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  • Albris, K. & Lauta, K. C. (2021) Causing wrong while doing good: On the question of liability for volunteers in emergencies. Environmental Hazards, 20(1), 78-91. https://doi.org/10.1080/17477891.2019.1651687.
  • Australian Institute for Disaster Resilience (AIDR), (2017). Communities Responding to Disasters: Planning for Spontaneous Volunteers, Australia.
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  • Bachner, G., Seebauer, S., Pfurtscheller, C. & Brucker, A. (2016). Assessing the benefits of organized voluntary emergency services: Concepts and evidence from flood protection in Austria. Disaster Prevention and Management, 25(3), 298-313. https://doi.org/10.1108/DPM-09-2015-0203.
  • Berrebi, C., Karlinsky, A. & Yonah, H. (2021). Individual and community behavioral responses to natural disasters. Natural hazards, 105, 1541-1569. https://doi.org/10.1007/s11069-020-04365-2.
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  • Carlton, S., Nissen, S. & Wong, J. H. (2022). A crisis volunteer ‘sleeper cell’: An emergent, extending and expanding disaster response organisation. Journal of Contingencies and Crisis Management, 30(4), 391-400. https://doi.org/10.1111/1468-5973.12381.
  • Carvalho, B. P., Silva, W. S. V. D., Barros, M. D. A., Araujo, C. F., & Almeida, S. O. D. (2024) Profiles and motivations of disaster volunteers: a proposed framework in the brazilian context. Revista de Administração da UFSM, 17(3), 1-33. https://doi.org/10.5902/1983465985085.
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Yıl 2025, Cilt: 14 Sayı: 5, 2630 - 2652, 31.12.2025
https://doi.org/10.15869/itobiad.1711975

Öz

Kaynakça

  • Adams, L. & Canclini, S. (2008) Disaster Readiness: A Community - University Partnership. OJIN: The Online Journal of Issues in Nursing, 13(3), 1-7. https://doi.org/10.3912/OJIN.Vol13No03PPT04.
  • Aktürk, Z. & Acemoglu, H. (2012) Tıbbi araştırmalarda güvenilirlik ve geçerlilik. Dicle Tıp Dergisi, 39 (2), 316-319. https://doi.org/10.5798/diclemedj.0921.2012.02.0150.
  • Albris, K. & Lauta, K. C. (2021) Causing wrong while doing good: On the question of liability for volunteers in emergencies. Environmental Hazards, 20(1), 78-91. https://doi.org/10.1080/17477891.2019.1651687.
  • Australian Institute for Disaster Resilience (AIDR), (2017). Communities Responding to Disasters: Planning for Spontaneous Volunteers, Australia.
  • Ayyıldız, H. & Cengiz, E. (2006). Pazarlama modellerinin testinde kullanılabilecek yapısal eşitlik modeli (YEM) üzerine kavramsal bir inceleme. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 11(1), 63-84. https://dergipark.org.tr/tr/pub/sduiibfd/issue/20838/223311.
  • Bachner, G., Seebauer, S., Pfurtscheller, C. & Brucker, A. (2016). Assessing the benefits of organized voluntary emergency services: Concepts and evidence from flood protection in Austria. Disaster Prevention and Management, 25(3), 298-313. https://doi.org/10.1108/DPM-09-2015-0203.
  • Berrebi, C., Karlinsky, A. & Yonah, H. (2021). Individual and community behavioral responses to natural disasters. Natural hazards, 105, 1541-1569. https://doi.org/10.1007/s11069-020-04365-2.
  • Bonett, D. G. & Wright, T. A. (2015). Cronbach's alpha reliability: Interval estimation, hypothesis testing, and sample size planning. Journal of organizational Behavior, 36(1), 3-15. https://doi.org/10.1002/job.1960.
  • Brown, T. (2015). Confirmatory factor analysis for applied research (2nd ed.), New York: The Guilford Press.
  • Bujang, M. A., Omar, E. D. & Baharum, N. A. (2018) A review on sample size determination for Cronbach’s alpha test: a simple guide for researchers. The Malaysian journal of medical sciences, 25(6), 85-99. https://doi.org/10.21315/mjms2018.25.6.9.
  • Bulmer, M.G. (1979). Principles of Statistics. Dover.
  • Büyüköztürk, Ş., Kılıç Çakmak, E., Akgün, Ö. E., Karadeniz, Ş. & Demirel, F. (2016). Bilimsel Araştırma Yöntemleri, Ankara: Pegem Akademi.
  • Büyüköztürk. Ş. (2006). Sosyal bilimler için veri analizi el kitabı, Ankara: Pegem Yayınları.
  • Byrne, B. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd ed.), New York: Routledge.
  • Carlton, S., Nissen, S. & Wong, J. H. (2022). A crisis volunteer ‘sleeper cell’: An emergent, extending and expanding disaster response organisation. Journal of Contingencies and Crisis Management, 30(4), 391-400. https://doi.org/10.1111/1468-5973.12381.
  • Carvalho, B. P., Silva, W. S. V. D., Barros, M. D. A., Araujo, C. F., & Almeida, S. O. D. (2024) Profiles and motivations of disaster volunteers: a proposed framework in the brazilian context. Revista de Administração da UFSM, 17(3), 1-33. https://doi.org/10.5902/1983465985085.
  • Chéron, E., Sudbury-Riley, L. & Kohlbacher, F. (2022) In pursuit of happiness: Disentangling sustainable consumption, consumer alienation, and social desirability. Journal of Consumer Policy, 45(2), 149-173. https://doi.org/10.1007/s10603-021-09498-w.
  • Chung, J. & Monroe, G. S. (2003) Exploring social desirability bias. Journal of Business Ethics, 44, 291-302. https://doi.org/10.1023/A:1023648703356.
  • Clary, E. G. & Snyder, M. (1999) The motivations to volunteer: Theoretical and practical considerations. Current directions in psychological science, 8(5), 156-159. https://doi.org/10.1111/1467-8721.00037.
  • Çokluk, Ö., Şekercioğlu, G. & Büyüköztürk, Ş. (2012). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları. Ankara: Pegem akademi.
  • Çolakoğlu, Ö. M. & Büyükekşi, C. (2014). Açımlayıcı faktör analiz sürecini etkileyen unsurların değerlendirilmesi. Karaelmas Eğitim Bilimleri Dergisi, 2(1), 56-64.
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  • Ergül, B. & Yılmaz, V. (2020). COVID-19 salgını süresince aile içi ilişkilerin doğrulayıcı faktör analizi ile incelenmesi. IBAD Sosyal Bilimler Dergisi, 38-51. https://doi.org/10.21733/ibad.733909.
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  • Garcia, C., Rabadi, G. & Handy, F. (2018). Dynamic resource allocation and coordination for high-load crisis volunteer management. Journal of Humanitarian Logistics and Supply Chain Management, 8(4), 533-556. https://doi.org/10.1108/JHLSCM-02-2018-0019.
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  • Hendriati, N. & Achmat, Z. (2024). The role of burnout and coping in the quality of life among disaster emergency volunteers during the Cianjur earthquake. International Journal of Disaster Risk Reduction, 105, 104362. 1-12. https://doi.org/10.1016/j.ijdrr.2024.104362.
  • Holwitt, P., Strohschneider, S., Zinke, R., Kaiser, S., Kranert, I., Linke, A. & Mähler, M. (2017). A study of motivational aspects initiating volunteerism in disaster management in Germany. Int. J. of Safety and Security Eng., 7(3), 294–302. https://doi.org/10.2495/SAFE-V7-N3-294-302. Hui L. C., Weng C. N. & Leng P. W. (2014). Penang river educational programme: A case study of university students’ involvement in community river and water management. International e-Journal of Community & Industry Engagement, 1(2), 1-6.
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  • LaLone, M. B. (2012). Neighbors helping neighbors: An examination of the social capital mobilization process for community resilience to environmental disasters. Journal of Applied Social Science, 6(2), 209-237. https://doi.org/10.1177/1936724412458483.
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  • Massazza, A., Brewin, C. R. & Joffe, H. (2021). Feelings, thoughts, and behaviors during disaster. Qualitative Health Research, 31(2), 323-337. https://doi.org/10.1177/1049732320968791.
  • Monllor, J., Pavez, I. & Pareti, S. (2020). Understanding informal volunteer behavior for fast and resilient disaster recovery: An application of entrepreneurial effectuation theory. Disaster Prevention and Management: An International Journal, 29(4), 575-589. https://doi.org/10.1108/DPM-05-2019-0151.
  • Nahkur, O., Orru, K., Hansson, S., Jukarainen, P., Myllylä, M., Krüger, M., ... & Rhinard, M. (2022). The engagement of informal volunteers in disaster management in Europe. International Journal of Disaster Risk Reduction, 83, 103413. 1-14. https://doi.org/10.1016/j.ijdrr.2022.103413.
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Yıl 2025, Cilt: 14 Sayı: 5, 2630 - 2652, 31.12.2025
https://doi.org/10.15869/itobiad.1711975

Öz

Kaynakça

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  • Ergül, B. & Yılmaz, V. (2020). COVID-19 salgını süresince aile içi ilişkilerin doğrulayıcı faktör analizi ile incelenmesi. IBAD Sosyal Bilimler Dergisi, 38-51. https://doi.org/10.21733/ibad.733909.
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  • Garcia, C., Rabadi, G. & Handy, F. (2018). Dynamic resource allocation and coordination for high-load crisis volunteer management. Journal of Humanitarian Logistics and Supply Chain Management, 8(4), 533-556. https://doi.org/10.1108/JHLSCM-02-2018-0019.
  • Gilbert, J. (2021). The United States Coast Guard and Spontaneous Volunteers: Collaboration or Chaos During Disaster Response, (Unpublished doctoral dissertation), Monterey, CA; Naval Postgraduate School. USA.
  • Goddard, S. (2017). Disaster preparedness knowledge, beliefs, risk-perceptions, and mitigating factors of disaster preparedness behaviors of undergraduate students at a large midwest university. [Doctoral Dissertation. A.T. Still University]. ProQuest.
  • Hendriati, N. & Achmat, Z. (2024). The role of burnout and coping in the quality of life among disaster emergency volunteers during the Cianjur earthquake. International Journal of Disaster Risk Reduction, 105, 104362. 1-12. https://doi.org/10.1016/j.ijdrr.2024.104362.
  • Holwitt, P., Strohschneider, S., Zinke, R., Kaiser, S., Kranert, I., Linke, A. & Mähler, M. (2017). A study of motivational aspects initiating volunteerism in disaster management in Germany. Int. J. of Safety and Security Eng., 7(3), 294–302. https://doi.org/10.2495/SAFE-V7-N3-294-302. Hui L. C., Weng C. N. & Leng P. W. (2014). Penang river educational programme: A case study of university students’ involvement in community river and water management. International e-Journal of Community & Industry Engagement, 1(2), 1-6.
  • Kaiser, H. F. & Rice J. (1974). Little jiffy, mark IV, Educational and psychological measurement, 34(1), 111-117. https://doi.org/10.1177/001316447403400115.
  • Karagöz, Y. (2016). SPSS and AMOS 23 Uygulamalı istatistiksel analiz, Ankara: Nobel Yayıncılık.
  • Karaman, H., Atar, B. & Çobanoğlu Aktan D. (2017). Açımlayıcı faktör analizinde kullanılan faktör çıkartma yöntemlerinin karşılaştırılması, Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi, 37(3), 1173-1193. https://doi.org/10.17152/gefad.309356.
  • Kranke, D., Weiss, E. L., Heslin, K. C. & Dobalian, A. (2017). “We are disaster response experts”: A qualitative study on the mental health impact of volunteering in disaster settings among combat veterans. Social work in public health, 32(8), 500-509. https://doi.org/10.1080/19371918.2017.1365033.
  • LaLone, M. B. (2012). Neighbors helping neighbors: An examination of the social capital mobilization process for community resilience to environmental disasters. Journal of Applied Social Science, 6(2), 209-237. https://doi.org/10.1177/1936724412458483.
  • Lassiter, K., Alwahishie, A. & Taaffe, K. (2014). Improving volunteer productivity and retention during humanitarian relief efforts. International Journal of Supply Chain Management, 3(2). 1-10. https://doi.org/10.59160/ijscm.v3i2.901.
  • MacCallum, R. C., Browne, M. W. & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological methods, 1(2), 130-149. https://doi.org/10.1037/1082-989X.1.2.130.
  • Martínez, P., Jaime, D., Contreras, D., Moreno, M., Bonacic, C. & Marín, M. (2021). Design and validation of an instrument for selecting spontaneous volunteers during emergencies in natural disasters. International Journal of Disaster Risk Reduction, 59, 102243, 1-8. https://doi.org/10.1016/j.ijdrr.2021.102243.
  • Massazza, A., Brewin, C. R. & Joffe, H. (2021). Feelings, thoughts, and behaviors during disaster. Qualitative Health Research, 31(2), 323-337. https://doi.org/10.1177/1049732320968791.
  • Monllor, J., Pavez, I. & Pareti, S. (2020). Understanding informal volunteer behavior for fast and resilient disaster recovery: An application of entrepreneurial effectuation theory. Disaster Prevention and Management: An International Journal, 29(4), 575-589. https://doi.org/10.1108/DPM-05-2019-0151.
  • Nahkur, O., Orru, K., Hansson, S., Jukarainen, P., Myllylä, M., Krüger, M., ... & Rhinard, M. (2022). The engagement of informal volunteers in disaster management in Europe. International Journal of Disaster Risk Reduction, 83, 103413. 1-14. https://doi.org/10.1016/j.ijdrr.2022.103413.
  • Nelson, J. (2023). Understanding And Leveraging Unaffiliated Volunteers In Disaster, (Master dissertation), Georgetown University Washington, DC. USA.
  • Neubauer, G., Nowak, A., Jager, B., Kloyber, C., Flachberger, C., Foitik, G., & Schimak, G. (2013, October). Crowdtasking–a new concept for volunteer management in disaster relief. In International Symposium on Environmental Software Systems (pp. 345-356). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-41151-9_33.
  • Nissen, S., Carlton, S., Wong, J. H. ve Johnson, S. (2021). ‘Spontaneous’ volunteers? Factors enabling the Student Volunteer Army mobilisation following the Canterbury earthquakes, 2010–2011. International Journal of Disaster Risk Reduction, 53, 102008. 1-9. https://doi.org/10.1016/j.ijdrr.2020.102008.
  • Oral, V. (2025). Factors Affecting the Success of Disaster Response Management: The Case of the 2023 Türkiye Earthquakes. Journal of Contingencies and Crisis Management, 33(3), e70070. https://doi.org/10.1111/1468-5973.70070.
  • Orloff, L. (2011). Managing spontaneous community volunteers in disasters: a field manual, Northwest: Crc Press.
  • O'Steen, B., & Perry, L. (2012). Service-learning as a responsive and engaging curriculum: A higher education institution's response to natural disaster. Curriculum Matters, 8, 171-183. https://doi.org/10.18296/cm.0144.
  • Özdamar, K. (2017). Ölçek ve test geliştirme yapısal eşitlik modellemesi IBM SPSS, IBM SPSS AMOS ve MINTAB uygulamalı, Eskişehir: Nisan Kitabevi.
  • Paciarotti, C., Cesaroni, A. & Bevilacqua, M. (2018). The management of spontaneous volunteers: A successful model from a flood emergency in Italy. International journal of disaster risk reduction, 31, 260-274. https://doi.org/10.1016/j.ijdrr.2018.05.013.
  • Price, P. C., Jhangiani, R. S. & Chiang, I. C. A. (2015). Reliability and validity of measurement. Research methods in psychology. 2nd Canadian Edition, (Ontario: ecampus).
  • Quarantelli, E. L. & Dynes, R. (1977). Different types of organizations in disaster responses and their operational problems, University of Delaware Disaster Research Center Preliminary Paper #41, Delaware. http://udspace.udel.edu/handle/19716/414.
  • Rabiei, P., Arias-Aranda, D. & Stantchev, V. (2023). Introducing a novel multi-objective optimization model for volunteer assignment in the post-disaster phase: Combining fuzzy inference systems with NSGA-II and NRGA. Expert Systems with Applications, 226, 120142. 1-15. https://doi.org/10.1016/j.eswa.2023.120142.
  • Riccardi, M. T. (2016). The power of crowdsourcing in disaster response operations. International Journal of Disaster Risk Reduction, 20, 123-128. https://doi.org/10.1016/j.ijdrr.2016.11.001.
  • Richards, E. A., Novak, J. C., & Davis, L. V. (2009). Disaster response after Hurricane Katrina: A model for an academic–community partnership in Mississippi. Journal of Community Health Nursing, 26(3), 114-120. https://doi.org/10.1080/07370010903034391.
  • Roth, F. & Prior, T. (2019). Volunteerism in disaster management: Opportunities, challenges and instruments for improvement. CSS Risk and Resilience Reports, Center for Security Studies (CSS), ETH Zurich, Switzerland.
  • Satoh, M., Iwamitsu, H., Yamada, E., Kuribayashi, Y., Yamagami-Matsuyama, T., & Yamada, Y. (2018). Disaster nursing knowledge and competencies among nursing university students participated in relief activities following the 2016 Kumamoto earthquakes. SAGE Open Nursing, 4, 1-9. https://doi.org/10.1177/2377960818804918.
  • Shughart, W. F. (2006). Katrinanomics: the politics and economics of disaster relief. Public Choice, 127, 31-53. https://doi.org/10.1007/s11127-006-7731-2.
  • Simsa, R., Rameder, P., Aghamanoukjan, A. & Totter, M. (2019). Spontaneous volunteering in social crises: Self-organization and coordination. Nonprofit and Voluntary Sector Quarterly, 48(2), 103-122. https://doi.org/10.1177/0899764018785472.
  • Smith, W. R., W Robertson, B., K Stephens, K. & Murthy, D. (2021). A different type of disaster response digital volunteer: Looking behind the scenes to reveal coordinating actions of disaster knowledge workers. Journal of Contingencies and Crisis Management, 29(2), 116-130. https://doi.org/10.1111/1468-5973.12352.
  • Stevens, J. P. (2001). Applied multivariate statistics for the social sciences (4th ed.), New Jersey: Lawrence Erlbaum Associates.
  • Straub, D., Boudreau, M. C. & Gefen, D. (2004). Validation guidelines for IS positivist research. Communications of the Association for Information systems, 13(1). 380-427. https://doi.org/10.17705/1CAIS.01324.
  • Strauss, M. E. & Smith, G. T. (2009). Construct validity: Advances in theory and methodology. Annual review of clinical psychology, 5(1), 1-25. https://doi.org/10.1146/annurev.clinpsy.032408.153639.
  • Tabachnick, B. G. & Fidell, L. S. (2007). Using Multivariate Statistics (5th ed.), Boston, MA: Pearson Education.
  • Tabachnick, B. G. & Fidell, L. S. (2013). Using Multivariate Statistics (6th ed.), Newyork: Pearson Education.
  • Tan, Y., Liao, X., Su, H., Li, C., Xiang, J., & Dong, Z. (2017). Disaster preparedness among university students in Guangzhou, China: assessment of status and demand for disaster education. Disaster medicine and public health preparedness, 11(3), 310-317. https://doi.org/10.1017/dmp.2016.124.
  • Tavakol, M. & Dennick, R. (2011). Making sense of Cronbach's alpha. International journal of medical education, 2, 53-55. https://doi.org/10.5116/ijme.4dfb.8dfd.
  • Tavşancıl, E. (2018). Tutumların ölçülmesi ve SPSS ile veri analizi, Ankara: Nobel Yayıncılık.
  • Twigg, J., & Mosel, I. (2017). Emergent groups and spontaneous volunteers in urban disaster response. Environment and Urbanization, 29(2), 443-458. https://doi.org/10.1177/0956247817721413.
  • Vaske, J. J., Beaman, J. & Sponarski, C. C. (2017). Rethinking internal consistency in Cronbach's alpha. Leisure sciences, 39(2), 163-173. https://doi.org/10.1080/01490400.2015.1127189.
  • Whittaker, J., McLennan, B., & Handmer, J. (2015). A review of informal volunteerism in emergencies and disasters: Definition, opportunities and challenges. International Journal of Disaster Risk Reduction, 13, 358-368. https://doi.org/10.1016/j.ijdrr.2015.07.010.
  • Yaşar, M. (2014). İstatistiğe yönelik tutum ölçeği: Geçerlilik ve güvenirlik çalışması. Pamukkale Üniversitesi Eğitim Fakültesi Dergisi, 36(36), 59-75.
  • Yaşlıoğlu, M. (2017). Sosyal bilimlerde faktör analizi ve geçerlilik: Keşfedici ve doğrulayıcı faktör analizlerinin kullanılması. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 46 (Özel sayı), 74-85. https://dergipark.org.tr/en/pub/iuisletme/issue/32177/357061.
  • Yıldırım, S. D., & Demiröz, K. (2025). Disaster experiences of spontaneous volunteers: An evaluation on fires in the Mediterranean Region. Ordu Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Araştırmaları Dergisi, 15(1), 563-600. https://doi.org/10.48146/odusobiad.1510686.
  • Yükseler, M., & Yazgan, J. (2023). Spontaneous Volunteers in Emergencies and Disasters. In M. Mokhtari (Ed.), Natural Hazards: New Insights. IntechOpen. https://doi.org/10.5772/intechopen.109330.
  • Yükseler, M., Yazgan, J., & Tenikler, G. (2024). Anlık gönüllülük olgusunun Türkiye’deki afet ve acil durum yönetimi açısından değerlendirilmesi. Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 26(1), 1-17. https://doi.org/10.33707/akuiibfd.1311962.

Yıl 2025, Cilt: 14 Sayı: 5, 2630 - 2652, 31.12.2025
https://doi.org/10.15869/itobiad.1711975

Öz

Kaynakça

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  • Nissen, S., Carlton, S., Wong, J. H. ve Johnson, S. (2021). ‘Spontaneous’ volunteers? Factors enabling the Student Volunteer Army mobilisation following the Canterbury earthquakes, 2010–2011. International Journal of Disaster Risk Reduction, 53, 102008. 1-9. https://doi.org/10.1016/j.ijdrr.2020.102008.
  • Oral, V. (2025). Factors Affecting the Success of Disaster Response Management: The Case of the 2023 Türkiye Earthquakes. Journal of Contingencies and Crisis Management, 33(3), e70070. https://doi.org/10.1111/1468-5973.70070.
  • Orloff, L. (2011). Managing spontaneous community volunteers in disasters: a field manual, Northwest: Crc Press.
  • O'Steen, B., & Perry, L. (2012). Service-learning as a responsive and engaging curriculum: A higher education institution's response to natural disaster. Curriculum Matters, 8, 171-183. https://doi.org/10.18296/cm.0144.
  • Özdamar, K. (2017). Ölçek ve test geliştirme yapısal eşitlik modellemesi IBM SPSS, IBM SPSS AMOS ve MINTAB uygulamalı, Eskişehir: Nisan Kitabevi.
  • Paciarotti, C., Cesaroni, A. & Bevilacqua, M. (2018). The management of spontaneous volunteers: A successful model from a flood emergency in Italy. International journal of disaster risk reduction, 31, 260-274. https://doi.org/10.1016/j.ijdrr.2018.05.013.
  • Price, P. C., Jhangiani, R. S. & Chiang, I. C. A. (2015). Reliability and validity of measurement. Research methods in psychology. 2nd Canadian Edition, (Ontario: ecampus).
  • Quarantelli, E. L. & Dynes, R. (1977). Different types of organizations in disaster responses and their operational problems, University of Delaware Disaster Research Center Preliminary Paper #41, Delaware. http://udspace.udel.edu/handle/19716/414.
  • Rabiei, P., Arias-Aranda, D. & Stantchev, V. (2023). Introducing a novel multi-objective optimization model for volunteer assignment in the post-disaster phase: Combining fuzzy inference systems with NSGA-II and NRGA. Expert Systems with Applications, 226, 120142. 1-15. https://doi.org/10.1016/j.eswa.2023.120142.
  • Riccardi, M. T. (2016). The power of crowdsourcing in disaster response operations. International Journal of Disaster Risk Reduction, 20, 123-128. https://doi.org/10.1016/j.ijdrr.2016.11.001.
  • Richards, E. A., Novak, J. C., & Davis, L. V. (2009). Disaster response after Hurricane Katrina: A model for an academic–community partnership in Mississippi. Journal of Community Health Nursing, 26(3), 114-120. https://doi.org/10.1080/07370010903034391.
  • Roth, F. & Prior, T. (2019). Volunteerism in disaster management: Opportunities, challenges and instruments for improvement. CSS Risk and Resilience Reports, Center for Security Studies (CSS), ETH Zurich, Switzerland.
  • Satoh, M., Iwamitsu, H., Yamada, E., Kuribayashi, Y., Yamagami-Matsuyama, T., & Yamada, Y. (2018). Disaster nursing knowledge and competencies among nursing university students participated in relief activities following the 2016 Kumamoto earthquakes. SAGE Open Nursing, 4, 1-9. https://doi.org/10.1177/2377960818804918.
  • Shughart, W. F. (2006). Katrinanomics: the politics and economics of disaster relief. Public Choice, 127, 31-53. https://doi.org/10.1007/s11127-006-7731-2.
  • Simsa, R., Rameder, P., Aghamanoukjan, A. & Totter, M. (2019). Spontaneous volunteering in social crises: Self-organization and coordination. Nonprofit and Voluntary Sector Quarterly, 48(2), 103-122. https://doi.org/10.1177/0899764018785472.
  • Smith, W. R., W Robertson, B., K Stephens, K. & Murthy, D. (2021). A different type of disaster response digital volunteer: Looking behind the scenes to reveal coordinating actions of disaster knowledge workers. Journal of Contingencies and Crisis Management, 29(2), 116-130. https://doi.org/10.1111/1468-5973.12352.
  • Stevens, J. P. (2001). Applied multivariate statistics for the social sciences (4th ed.), New Jersey: Lawrence Erlbaum Associates.
  • Straub, D., Boudreau, M. C. & Gefen, D. (2004). Validation guidelines for IS positivist research. Communications of the Association for Information systems, 13(1). 380-427. https://doi.org/10.17705/1CAIS.01324.
  • Strauss, M. E. & Smith, G. T. (2009). Construct validity: Advances in theory and methodology. Annual review of clinical psychology, 5(1), 1-25. https://doi.org/10.1146/annurev.clinpsy.032408.153639.
  • Tabachnick, B. G. & Fidell, L. S. (2007). Using Multivariate Statistics (5th ed.), Boston, MA: Pearson Education.
  • Tabachnick, B. G. & Fidell, L. S. (2013). Using Multivariate Statistics (6th ed.), Newyork: Pearson Education.
  • Tan, Y., Liao, X., Su, H., Li, C., Xiang, J., & Dong, Z. (2017). Disaster preparedness among university students in Guangzhou, China: assessment of status and demand for disaster education. Disaster medicine and public health preparedness, 11(3), 310-317. https://doi.org/10.1017/dmp.2016.124.
  • Tavakol, M. & Dennick, R. (2011). Making sense of Cronbach's alpha. International journal of medical education, 2, 53-55. https://doi.org/10.5116/ijme.4dfb.8dfd.
  • Tavşancıl, E. (2018). Tutumların ölçülmesi ve SPSS ile veri analizi, Ankara: Nobel Yayıncılık.
  • Twigg, J., & Mosel, I. (2017). Emergent groups and spontaneous volunteers in urban disaster response. Environment and Urbanization, 29(2), 443-458. https://doi.org/10.1177/0956247817721413.
  • Vaske, J. J., Beaman, J. & Sponarski, C. C. (2017). Rethinking internal consistency in Cronbach's alpha. Leisure sciences, 39(2), 163-173. https://doi.org/10.1080/01490400.2015.1127189.
  • Whittaker, J., McLennan, B., & Handmer, J. (2015). A review of informal volunteerism in emergencies and disasters: Definition, opportunities and challenges. International Journal of Disaster Risk Reduction, 13, 358-368. https://doi.org/10.1016/j.ijdrr.2015.07.010.
  • Yaşar, M. (2014). İstatistiğe yönelik tutum ölçeği: Geçerlilik ve güvenirlik çalışması. Pamukkale Üniversitesi Eğitim Fakültesi Dergisi, 36(36), 59-75.
  • Yaşlıoğlu, M. (2017). Sosyal bilimlerde faktör analizi ve geçerlilik: Keşfedici ve doğrulayıcı faktör analizlerinin kullanılması. İstanbul Üniversitesi İşletme Fakültesi Dergisi, 46 (Özel sayı), 74-85. https://dergipark.org.tr/en/pub/iuisletme/issue/32177/357061.
  • Yıldırım, S. D., & Demiröz, K. (2025). Disaster experiences of spontaneous volunteers: An evaluation on fires in the Mediterranean Region. Ordu Üniversitesi Sosyal Bilimler Enstitüsü Sosyal Bilimler Araştırmaları Dergisi, 15(1), 563-600. https://doi.org/10.48146/odusobiad.1510686.
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Spontane Afet Gönüllüsü Seçim Ölçeği: Geçerlilik ve Güvenirlik Değerlendirmesi

Yıl 2025, Cilt: 14 Sayı: 5, 2630 - 2652, 31.12.2025
https://doi.org/10.15869/itobiad.1711975

Öz

Afet yönetimi önemli gelişmeler kaydetmiş olsa da coğrafi yakınlık ve yardım motivasyonu nedeniyle olay yerine ilk ulaşan vatandaşlar, müdahale süreçlerinde kritik roller üstlenmektedir. Günümüzde afet yönetimi, profesyonel ekiplerin yanı sıra gönüllüler ve sivil toplumun katılımına dayalı çok aktörlü bir yapıya dönüşmüştür. Özellikle ani ve yaygın etkili afetlerde gönüllü katkısı, kamu kapasitesini tamamlayan vazgeçilmez bir unsur hâline gelmiştir. Ancak gönüllü katılımına ilişkin yapısal kriterler birçok ülkede belirsizliğini korumakta; etkin entegrasyon için seçim, eğitim ve görev tanımlarının netleştirilmesi gerekmektedir. Bu kapsamda mevcut çalışma ile, ülkemizde afet durumlarında etkili bir gönüllü seçimi yaklaşımı geliştirilmesine katkı sağlamak adına Martínez vd. (2021) tarafından geliştirilen 'Spontane Afet Gönüllüsü Seçim Ölçeği'nin Türkçe geçerlilik ve güvenilirliğinin değerlendirilmesi amaçlanmıştır. Araştırmanın evrenini Erzurum Teknik Üniversitesi öğrencileri oluşturmakta olup, örneklem seçiminde tesadüfi olmayan örnekleme yöntemlerinden kolayda örnekleme yöntemi tercih edilmiştir. Örneklem büyüklüğü, hata payını minimize etmek amacıyla 417 kişi olarak belirlenmiştir. Veri toplama sürecinde, gönüllü katılımcılara Spontane Afet Gönüllüsü Seçim Ölçeği hem çevrimiçi hem de yüz yüze yollarla ulaştırılmış; yanıtlar dijital ve basılı formatta elde edilmiştir. Orijinal formdan Türkçeye uyarlanan ölçek, kültürel ve dilsel geçerlik adımları tamamlandıktan sonra ön uygulamayla test edilmiştir. Ölçeğin yapı geçerliliğini değerlendirmek amacıyla öncelikle açımlayıcı faktör analizi (AFA) uygulanmış, elde edilen faktör yapısının doğrulanmasına yönelik olarak da doğrulayıcı faktör analizi (DFA) gerçekleştirilmiştir. Ölçeğin iç tutarlılığı Cronbach alfa katsayısı kullanılarak güvenirlik analizine tabi tutulmuştur. AFA sonucunda toplam varyansın %55,23’ünün beş alt boyut tarafından açıklandığı görülmüştür. Modelin uyum düzeyi, DFA ile değerlendirilmiş olup; 5 faktör 24 ifadeden oluşan ölçüm aracının uyum iyiliği indekslerinin (χ²/df=2.229; CFI=0.91; IFI=0.91; GFI=0.90; AGFI=0.87, RMSEA=0.054) kabul edilebilir bir seviyede olduğu doğrulanmıştır. Ölçeğin iç tutarlılık güvenirliği (Cronbach α=0.88) yüksek bulunmuştur. Çalışma sonucunda, Spontane Afet Gönüllüsü Seçim Ölçeği'nin Bilgi, Beceri/Yetenek, Davranış, Motivasyon ve Sosyal Beğenirlik olmak üzere beş boyut ve yirmi dört maddeden oluşan yapısının Türk kültüründe geçerliliği ve güvenilirliği doğrulanmış bir ölçek olduğu belirlenmiştir.

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Toplam 79 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Risk Politikası, Kent Sosyolojisi ve Toplum Çalışmaları
Bölüm Araştırma Makalesi
Yazarlar

Melikşah Turan 0000-0002-0588-2191

Gönderilme Tarihi 3 Haziran 2025
Kabul Tarihi 19 Aralık 2025
Yayımlanma Tarihi 31 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 14 Sayı: 5

Kaynak Göster

APA Turan, M. (2025). Spontaneous Disaster Volunteer Selection Scale: Validity and Reliability Assessment. İnsan ve Toplum Bilimleri Araştırmaları Dergisi, 14(5), 2630-2652. https://doi.org/10.15869/itobiad.1711975
İnsan ve Toplum Bilimleri Araştırmaları Dergisi  Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı (CC BY NC) ile lisanslanmıştır. 

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