• Albright, A. E., & Allen, R. S. (2018). HPV misconceptions among college students: The role of health literacy. Journal of Community Health, 43(6), 1192-1200. https://doi.org/10.1007/s10900-018-0539-4
• Andrich, D., & Marais, I. (2019). Review of Principles of Test Analysis Using Rasch Measurement Theory. In A Course in Rasch Measurement Theory (pp. 327-342). https://doi.org/10.1007/978-981-13-7496-8_29
• Annas, G. J., Mariner, W. K., & Parmet, W. E. (2008). Pandemic Preparedness: The Need for a Public Health Approach.
• Ashrafi-Rizi, H., & Kazempour, Z. (2020). Information typology in coronavirus (COVID-19) crisis; a commentary. Archives of Academic Emergency Medicine, 8(1), e19. https://doi.org/10.22037/aaem.v8i1.591
• Bakhtiar, T. (2016). Optimal intervention strategies for cholera outbreak by education and chlorination. IOP Conference Series: Earth and Environmental Science, 31(1). https://doi.org/10.1088/1755-1315/31/1/012022
• Barennes, H., Harimanana, A. N., Lorvongseng, S., Ongkhammy, S., & Chu, C. (2010). Paradoxical risk perception and behaviours related to Avian Flu outbreak and education campaign, Laos. BMC Infectious Diseases, 10(March 2006). https://doi.org/10.1186/1471-2334-10-294
• Bond, T., & Fox, C. M. (2007). Applying the Rasch Model: Fundamental Measurement in the Human Sciences, Second Edition (2 edition).
• Burns, K. E. A., Duffett, M., Kho, M. E., Meade, M. O., Adhikari, N. K. J., Sinuff, T., Cook, D. J., & Group, for the A. (2008). A guide for the design and conduct of self-administered surveys of clinicians. Canadian Medical Association Journal, 179(3), 245-252. https://doi.org/10.1503/cmaj.080372
• Chou, Y.-T., & Wang, W.-C. (2010). Checking Dimensionality in Item Response Models with Principal Component Analysis on Standardized Residuals. Educational and Psychological Measurement, 70(5), 717-731. https://doi.org/10.1177/0013164410379322
• Christensen, K. B., Makransky, G., & Horton, M. (2017). Critical values for Yen’s Q3: Identification of local dependence in the Rasch model using residual correlations. Applied Psychological Measurement, 41(3), 178-194. https://doi.org/10.1177/0146621616677520
• Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. In Educational Research (4th ed., Vol. 4). Pearson Education.
• DeVon, H. A., Block, M. E., Moyle-Wright, P., Ernst, D. M., Hayden, S. J., Lazzara, D. J., Savoy, S. M., & Kostas-Polston, E. (2007). A Psychometric Toolbox for Testing Validity and Reliability. Journal of Nursing Scholarship, 39(2), 155-164. https://doi.org/10.1111/j.1547-5069.2007.00161.x
• Dörnyei, Z. (2003). Questionnaires in Second Language Research: Construction, Administration, and Processing. Lawrence Erlbaum Associates.
• Easton, M. (2020, June 18). Social media “spreading virus conspiracy theories.” BBC News. Retrieved from https://www.bbc.com/news/uk-53085640
• Erduran, S. (2020). Science education in the era of a pandemic. Science & Education, 29(2), 233-235. https://doi.org/10.1007/s11191-020-00122-w
• Fauzi, A., Husamah, H., Miharja, F. J., Fatmawati, D., Permana, T. I., & Hudha, A. M. (2020). Exploring COVID-19 Literacy Level among Biology Teacher Candidates. Eurasia Journal of Mathematics, Science and Technology Education, 16(7), em1864. https://doi.org/10.29333/ejmste/8270
• Gerbing, D. W., & Anderson, J. C. (1988). An Updated Paradigm for Scale Development Incorporating Unidimensionality and Its Assessment. Journal of Marketing Research, 25(2), 186-192. https://doi.org/10.1177/002224378802500207
• Golino, H. F., Gomes, C. M. A., Commons, M. L., & Miller, P. M. (2014). The construction and validation of a developmental test for stage identification: Two exploratory studies. Behavioral Development Bulletin, 19(3), 37-54. https://doi.org/10.1037/h0100589
• Goni, Mohammd Dauda, Naing, N. N., Hasan, H., Wan-Arfah, N., Deris, Z. Z., Arifin, W. N., Baaba, A. A., & Njaka, S. (2020). A Confirmatory Factor Analysis of the knowledge, attitude and practice questionnaire towards prevention of Respiratory tract infections during Hajj and Umrah [Preprint]. In Review. https://doi.org/10.21203/rs.3.rs-18609/v1
• Goni, M. D., Hasan, H., Naing, N. N., Wan-Arfah, N., Deris, Z. Z., Arifin, W. N., & Baaba, A. A. (2019). Assessment of knowledge, attitude and practice towards prevention of respiratory tract infections among hajj and umrah pilgrims from Malaysia in 2018. International Journal of Environmental Research and Public Health, 16(22), 1-11. https://doi.org/10.3390/ijerph16224569
• Goni, M. D., Naing, N. N., Hasan, H., Wan-Arfah, N., Deris, Z. Z., Arifin, W. N., Hussin, T. M. A. R., Abdulrahman, A. S., Baaba, A. A., & Arshad, M. R. (2020). Development and validation of knowledge, attitude and practice questionnaire for prevention of respiratory tract infections among Malaysian Hajj pilgrims. BMC Public Health, 20(1), 189. https://doi.org/10.1186/s12889-020-8269-9
• Grace, M., & Bay, J. L. (2011). Developing a pedagogy to support science for health literacy. Asia-Pacific Forum on Science Learning and Teaching, 12(2), 1-13.
• Gugus Tugas Percepatan Penanganan COVID-19. (2020). Materi Edukasi—Pengantar | Gugus Tugas Percepatan Penanganan COVID-19. In Covid19.go.id.
• Hagell, P., & Westergren, A. (2016). Sample Size and Statistical Conclusions from Tests of Fit to the Rasch Model According to the Rasch Unidimensional Measurement Model (Rumm) Program in Health Outcome Measurement. Journal of Applied Measurement, 17(4), 416-431.
• He, Q., & Wheadon, C. (2013). The effect of sample size on item parameter estimation for the partial credit model. International Journal of Quantitative Research in Education, 1(3), 297-315. https://doi.org/10.1504/IJQRE.2013.057692
• Höttecke, D., & Allchin, D. (2020). Reconceptualizing nature‐of‐science education in the age of social media. Science Education, 104(4), 641-666. https://doi.org/10.1002/sce.21575
• Hu, Z., Song, C., Xu, C., Jin, G., Chen, Y., Xu, X., Ma, H., Chen, W., Lin, Y., Zheng, Y., Wang, J., hu, zhibin, Yi, Y., & Shen, H. (2020). Clinical Characteristics of 24 Asymptomatic Infections with COVID-19 Screened among Close Contacts in Nanjing, China. https://doi.org/10.1101/2020.02.20.20025619
• Ismail, N. E., Jimam, N. S., Dapar, M. L. P., & Ahmad, S. (2020). Validation and Reliability of Healthcare Workers’ Knowledge, Attitude, and Practice Instrument for Uncomplicated Malaria by Rasch Measurement Model. Frontiers in Pharmacology, 10, 1521. https://doi.org/10.3389/fphar.2019.01521
• Jacque, B., Koch-Weser, S., Faux, R., & Meiri, K. (2016). Addressing health literacy challenges with a cutting-edge infectious disease curriculum for the high school biology classroom. Health Education & Behavior, 43(1), 43-53. https://doi.org/10.1177/1090198115596163
• Jones-Jang, S. M., Mortensen, T., & Liu, J. (2019). Does media literacy help identification of fake news? Information literacy helps, but other literacies don’t. American Behavioral Scientist, 000276421986940. https://doi.org/10.1177/0002764219869406
• Jones-Konneh, T. E. C., Murakami, A., Sasaki, H., & Egawa, S. (2017). Intensive education of health care workers improves the outcome of ebola virus disease: Lessons learned from the 2014 outbreak in Sierra Leone. Tohoku Journal of Experimental Medicine, 243(2), 101-105. https://doi.org/10.1620/tjem.243.101
• Kabat, G. C. (2017). Taking distrust of science seriously. EMBO Reports, 18(7), 1052-1055. https://doi.org/10.15252/embr.201744294
• Kain, T., & Fowler, R. (2019). Preparing intensive care for the next pandemic influenza. Critical Care, 23(1), 1-9. https://doi.org/10.1186/s13054-019-2616-1
• Karlsen, H., Mehli, L., Wahl, E., & Staberg, R. L. (2015). Teaching outbreak investigation to undergraduate food technologists. British Food Journal, 117(2), 766-778. https://doi.org/10.1108/BFJ-02-2014-0062
• Kim, S., & Kyllonen, P. C. (2006). Rasch Rating Scale Modeling of Data from the Standardized Letter of Recommendation. ETS Research Report Series, 2006(2), i-22. https://doi.org/10.1002/j.2333-8504.2006.tb02038.x
• Kjellström, S., Golino, H., Hamer, R., van Rossum, E. J., & Almers, E. (2016). Psychometric properties of the Epistemological Development in Teaching Learning Questionnaire (EDTLQ): An inventory to measure higher order epistemological development. Frontline Learning Research, 4(5), 1-33. https://doi.org/10.14786/flr.v4i5.239
• Kook, S. H., & Varni, J. W. (2008). Validation of the Korean version of the pediatric quality of life inventory^TM 4.0 (PedsQL^TM) generic core scales in school children and adolescents using the rasch model. Health and Quality of Life Outcomes, 6, 41. https://doi.org/10.1186/1477-7525-6-41
• Kouadio, I. K., Aljunid, S., Kamigaki, T., Hammad, K., & Oshitani, H. (2012). Infectious diseases following natural disasters: Prevention and control measures. Expert Review of Anti-Infective Therapy, 10(1), 95-104. https://doi.org/10.1586/eri.11.155
• Kraemer, M. U. G., Yang, C.-H., Gutierrez, B., Wu, C.-H., Klein, B., Pigott, D. M., Group†, O. C.-19 D. W., du Plessis, L., Faria, N. R., Li, R., Hanage, W. P., Brownstein, J. S., Layan, M., Vespignani, A., Tian, H., Dye, C., Pybus, O. G., & Scarpino, S. V. (2020). The effect of human mobility and control measures on the COVID-19 epidemic in China. Science, 368(6490), 493-497. https://doi.org/10.1126/science.abb4218
• Lewandowsky, S., Mann, M. E., Brown, N. J. L., & Friedman, H. (2016). Science and the public: Debate, denial, and skepticism. Journal of Social and Political Psychology, 4(2), 537-553. https://doi.org/10.5964/jspp.v4i2.604
• Linacre, J. (1994). Sample Size and Item Calibration Stability. Rasch Measurement Transactions, 7, 328.
• Linacre, J. M. (1998). Detecting multidimensionality: Which residual data-type works best? Journal of Outcome Measurement, 2(3), 266-283.
• Lipovetsky, S. (2020). Modern Psychometrics With R. Technometrics, 62(1), 135-137. https://doi.org/10.1080/00401706.2019.1708675
• Malm, H., May, T., Francis, L. P., Omer, S. B., Salmon, D. A., & Hood, R. (2008). Ethics, pandemics, and the duty to treat. American Journal of Bioethics, 8(8), 4-19. https://doi.org/10.1080/15265160802317974
• McDonald, R. P., & Ho, M.-H. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7(1), 64-82. https://doi.org/10.1037/1082-989x.7.1.64
• Mohd Hanafiah, K., & Wan, C. Da. (2020). Public knowledge, perception and communication behavior surrounding COVID-19 in Malaysia. https://doi.org/10.31124/advance.12102816.v1
• Müller, S., Kohlmann, T., & Wilke, T. (2015). Validation of the Adherence Barriers Questionnaire - an instrument for identifying potential risk factors associated with medication-related non-adherence. BMC Health Services Research, 15(1), 153. https://doi.org/10.1186/s12913-015-0809-0
• Olapegba, P. O., & Ayandele, O. (2020). Survey data of COVID-19-related Knowledge, Risk Perceptions and Precautionary Behavior among Nigerians. Data in Brief, 105685. https://doi.org/10.1016/j.dib.2020.105685
• Rahman, A., & Sathi, N. J. (2020). Knowledge, attitude, and preventive practices toward COVID-19 among Bangladeshi internet users. Electronic Journal of General Medicine, 17(5), em245. https://doi.org/10.29333/ejgm/8223
• Rodrigues, I. B., Adachi, J. D., Beattie, K. A., & MacDermid, J. C. (2017). Development and validation of a new tool to measure the facilitators, barriers and preferences to exercise in people with osteoporosis. BMC Musculoskeletal Disorders, 18. https://doi.org/10.1186/s12891-017-1914-5
• Saefi, M., Fauzi, A., Kristiana, E., Adi, W. C., Muchson, M., Setiawan, M. E., Islami, N. N., Ningrum, D. E. A. F., Ikhsan, M. A., & Ramadhani, M. (2020). Survey data of COVID-19-related knowledge, attitude, and practices among Indonesian undergraduate students. Data in Brief, 31, 105855. https://doi.org/10.1016/j.dib.2020.105855
• Sahu, P. (2020). Closure of Universities Due to Coronavirus Disease 2019 (COVID-19): Impact on Education and Mental Health of Students and Academic Staff. Cureus, 12. https://doi.org/10.7759/cureus.7541
• Saravara, S. I. I. I. J. (2007). Business continuity planning in higher education due to pandemic outbreaks business continuity planning in higher education due to pandemic outbreaks: A faculty perspective. Journal of Security Education, 2(3), 41-51. https://doi.org/10.1300/J460v02n03
• Singhal, T. (2020). A review of Coronavirus Disease-2019 (COVID-19). The Indian Journal of Pediatrics, 87. https://doi.org/10.1007/s12098-020-03263-6
• Sirkeci, I., & Yüceşahin, M. (2020). Coronavirus and Migration: Analysis of Human Mobility and the Spread of COVID-19. Migration Letters, 17, 379-398. https://doi.org/10.33182/ml.v17i2.935
• Smith, A. B., Rush, R., Fallowfield, L. J., Velikova, G., & Sharpe, M. (2008). Rasch fit statistics and sample size considerations for polytomous data. BMC Medical Research Methodology, 8(1), 33. https://doi.org/10.1186/1471-2288-8-33
• Tabachnick, B. G., & Fidell, L. S. (2007). Using Multivariate Statistics (5th ed). Pearson/Allyn & Bacon.
• Takahashi, S., Sato, K., Kusaka, Y., & Hagihara, A. (2017). Public preventive awareness and preventive behaviors during a major influenza epidemic in Fukui, Japan. Journal of Infection and Public Health, 10(5), 637-643. https://doi.org/10.1016/j.jiph.2017.04.002
• Taylor, D. L., Kahawita, T. M., Cairncross, S., & Ensink, J. H. J. (2015). The impact of water, sanitation and hygiene interventions to control cholera: A systematic review. PLoS ONE, 10(8), 1-19. https://doi.org/10.1371/journal.pone.0135676
• Tennant, A., & Conaghan, P. G. (2007). The Rasch measurement model in rheumatology: What is it and why use it? When should it be applied, and what should one look for in a Rasch paper? Arthritis & Rheumatism, 57(8), 1358-1362. https://doi.org/10.1002/art.23108
• Uscinski, J. E., Enders, A. M., Klofstad, C., Seelig, M., Funchion, J., Everett, C., Wuchty, S., Premaratne, K., & Murthi, M. (2020). Why do people believe COVID-19 conspiracy theories? Harvard Kennedy School Misinformation Review. https://doi.org/10.37016/mr-2020-015
• Wadood, Md. A., Mamun, A., Rafi, Md. A., Islam, kamrul Md., Mohd, S., Lee Lee, L., & Hossain, Md. G. (2020). Knowledge, attitude, practice and perception regarding COVID-19 among students in Bangladesh: Survey in Rajshahi University. https://doi.org/10.1101/2020.04.21.20074757
• Wang, C., Cheng, Z., Yue, X.-G., & McAleer, M. (2020). Risk Management of COVID-19 by Universities in China. Journal of Risk and Financial Management, 13(2), 36. https://doi.org/10.3390/jrfm13020036
• Zhong, B.-L., Luo, W., Li, H.-M., Zhang, Q.-Q., Liu, X.-G., Li, W.-T., & Li, Y. (2020). Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: A quick online cross-sectional survey. International Journal of Biological Sciences, 16(10), 1745-1752. https://doi.org/10.7150/ijbs.45221

Vancouver

Saefi M, Fauzi A, Kristiana E, Adi WC, Muchson M, Setiawan ME, et al. Validating of Knowledge, Attitudes, and Practices Questionnaire for Prevention of COVID-19 infections among Undergraduate Students: A RASCH and Factor Analysis. EURASIA J Math Sci Tech Ed. 2020;16(12):em1926. https://doi.org/10.29333/ejmste/9352

APA

Saefi, M., Fauzi, A., Kristiana, E., Adi, W. C., Muchson, M., Setiawan, M. E., . . . Ramadhani, M. (2020). Validating of Knowledge, Attitudes, and Practices Questionnaire for Prevention of COVID-19 infections among Undergraduate Students: A RASCH and Factor Analysis. Eurasia Journal of Mathematics, Science and Technology Education, 16(12), em1926. https://doi.org/10.29333/ejmste/9352

AMA

Saefi M, Fauzi A, Kristiana E, et al. Validating of Knowledge, Attitudes, and Practices Questionnaire for Prevention of COVID-19 infections among Undergraduate Students: A RASCH and Factor Analysis. EURASIA J Math Sci Tech Ed. 2020;16(12), em1926. https://doi.org/10.29333/ejmste/9352

Chicago

Saefi, Muhammad, Ahmad Fauzi, Evi Kristiana, Widi Cahya Adi, M Muchson, M Eval Setiawan, Novita Nurul Islami, Dian Eka Aprilia Fitria Ningrum, M Alifudin Ikhsan, and Mavindra Ramadhani. "Validating of Knowledge, Attitudes, and Practices Questionnaire for Prevention of COVID-19 infections among Undergraduate Students: A RASCH and Factor Analysis". Eurasia Journal of Mathematics, Science and Technology Education 2020 16 no. 12 (2020): em1926. https://doi.org/10.29333/ejmste/9352

Harvard

Saefi, M., Fauzi, A., Kristiana, E., Adi, W. C., Muchson, M., Setiawan, M. E., . . . Ramadhani, M. (2020). Validating of Knowledge, Attitudes, and Practices Questionnaire for Prevention of COVID-19 infections among Undergraduate Students: A RASCH and Factor Analysis. Eurasia Journal of Mathematics, Science and Technology Education, 16(12), em1926. https://doi.org/10.29333/ejmste/9352

MLA

Saefi, Muhammad et al. "Validating of Knowledge, Attitudes, and Practices Questionnaire for Prevention of COVID-19 infections among Undergraduate Students: A RASCH and Factor Analysis". Eurasia Journal of Mathematics, Science and Technology Education, vol. 16, no. 12, 2020, em1926. https://doi.org/10.29333/ejmste/9352