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                                    34%u8de8%u57df%u7814%u7a76%u7684%u63a2%u7d22%u8207%u6574%u5408%u7136%u5df2%u884c%u4e4b%u6709%u5e74%uff0c%u537b%u4ecd%u6709%u56f0%u96e3%u9700%u8981%u514b%u670d%u3002%u4e26%u4e14%u53ef%u4ee5%u60f3%u898b%u7684%u662f%uff0c%u5728%u8a2d%u6cd5%u89e3%u6c7a%u524d%u8ff0%u8abf%u67e5%u6a21%u5f0f%u76f8%u95dc%u554f%u984c%u7684%u540c%u6642%uff0c%u6211%u5011%u53ef%u80fd%u5f88%u5feb%u53c8%u8981%u9762%u81e8%u65b0%u7684%u6311%u6230%uff1b%u9019%u4e9b%u8abf%u67e5%u7814%u7a76%u65b9%u6cd5%u4e0a%u7684%u96e3%u984c%uff0c%u4ecd%u9700%u8981%u5927%u5bb6%u5171%u540c%u52aa%u529b%uff0c%u624d%u80fd%u627e%u51fa%u6700%u4f73%u7684%u89e3%u6c7a%u65b9%u6848%u3002%u53c3%u8003%u6587%u737b%u4e8e%u82e5%u84c9%u3001%u675c%u7d20%u8c6a%uff082022%uff09%u3002%u3008%u7db2%u8def%u8abf%u67e5%u7684%u6ce8%u610f%u529b%u6aa2%u6e2c%u5c0d%u984c%u9805%u56de%u61c9%u6642%u9593%u8207%u554f%u5377%u5b8c%u586b%u7684%u5f71%u97ff%u3009%uff0c%u300a%u8abf%u67e5%u7814%u7a76%u2015%u65b9%u6cd5%u8207%u61c9%u7528%u300b%u7b2c 48 %u671f%uff0c%u9801 7-46%u3002%u5433%u5fd7%u6587%u3001%u8b1d%u6dd1%u60e0%u3001%u5f35%u9451%u5982%u3001%u7a0b%u666f%u7433%uff082022%uff09%u3002%u3008COVID-19 %u75ab%u60c5%u4e0b%u7684%u5bb6%u5ead%u6c23%u6c1b%uff1a%u5bb6%u9577%u7684%u60c5%u7dd2%u8abf%u7bc0%u3001%u7126%u616e%u8207%u8abf%u9069%uff0c%u4ee5%u53ca%u5152%u7ae5%u60c5%u7dd2%u7d93%u9a57%u7684%u95dc%u806f%u6027%u3009%uff0c%u300a%u8abf%u67e5%u7814%u7a76%u2015%u65b9%u6cd5%u8207%u61c9%u7528%u300b%u7b2c 49 %u671f%uff0c%u9801 47-90%u3002%u674e%u653f%u5fe0%uff082004%uff09%u3002%u3008%u7db2%u8def%u8abf%u67e5%u6240%u9762%u81e8%u7684%u554f%u984c%u8207%u89e3%u6c7a%u5efa%u8b70%u3009%uff0c%u300a%u8cc7%u8a0a%u793e%u6703%u7814%u7a76%u300b%u7b2c 6 %u671f%uff0c%u9801 1-24%u3002%u9673%u9d3b%u5609%uff082019%uff09%u3002%u3008%u6210%u672c%u8003%u91cf%u4e0b%u96d9%u5e95%u518a%u96fb%u8a71%u8abf%u67e5%u7684%u6a23%u672c%u914d%u7f6e%u3009%uff0c%u300a%u9078%u8209%u7814%u7a76%u300b%u7b2c 26 %u5377%u7b2c 1 %u671f%uff0c%u980131-56%u3002%u5ed6%u57f9%u73ca%u3001%u856d%u9326%u708e%u3001%u694a%u96c5%u60e0%u3001%u5f6d%u4f73%u73b2%u3001%u5289%u4ecb%u5b87%uff082022%uff09%u3002%u3008%u96d9%u5e95%u518a%u96fb%u8a71%u8abf%u67e5%u7d44%u5408%u8a2d%u8a08%u6b0a%u6578%u4e4b%u61c9%u7528%u3009%uff0c%u300a%u8abf%u67e5%u7814%u7a76%u2015%u65b9%u6cd5%u8207%u61c9%u7528%u300b%uff08%u5df2%u63a5%u53d7%uff09%u3002https://www.rchss.sinica.edu.tw/srma/journals/3591%u3002American Association for Public Opinion Research (AAPOR). (2010). AAPOR 2010 Cell Phone Task Force Report.Baffour, B., Haynes, M., Western, M., Pennay, D., Misson, S., & Martinez, A. (2016). Weighting strategies for combining data from dual-frame telephone surveys: Emerging evidence from Australia. Journal of Official Statistics, 32(3), 549-578.Chang, C. (2021). How morality judgments influence humor perceptions of prankvertising. International Journal of Advertising, 40(2), 246-271.Fu, Y.-C., Chan, T.-C., Chu, Y.-H., & Hwang, J.-S. (2022). Using contact tracing from interlocking diaries to map mood contagion along network chains. Scientific Reports, 12(1), 3400.Lohr, S. L. (2021). Multiple-frame surveys for a multiple-data-source world. Survey Methodology, 47(2), 229-263. McPhee, C., Barlas, F., Brigham, N., Darling, J., Dutwin, D., Jackson, C., Kirzinger, A., Little, R., Lorenz, E., Marlar, J., Mercer, A., Scanlon, P. J., Weiss, S., & Wronski, L. (2022). Data Quality Metrics for Online Samples: Considerations for Study Design and Analysis. https://aapor.org/wp-content/uploads/2023/02/Task-Force-Report-FINAL.pdfMenold, N., & Toepoel, V. (2022). Do different devices perform equally well with different numbers of scale points and response formats? A test of measurement invariance and reliability. Sociological Methods & Research, online first, https://doi.org/10.1177/00491241221077237
                                
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