{"id":30507,"date":"2023-03-09T00:17:47","date_gmt":"2023-03-08T16:17:47","guid":{"rendered":"https:\/newsletter.sinica.edu.tw\/?p=30507"},"modified":"2023-04-20T00:43:34","modified_gmt":"2023-04-19T16:43:34","slug":"%e3%80%90%e5%b0%88%e6%ac%84%e3%80%91%e8%81%af%e5%90%88%e5%88%86%e6%9e%90%e5%95%8f%e5%8d%b7%e8%aa%bf%e6%9f%a5%e5%af%a6%e9%a9%97%e6%b3%95%e5%9c%a8%e6%94%bf%e6%b2%bb%e5%ad%b8%e7%a0%94%e7%a9%b6%e4%b8%ad","status":"publish","type":"post","link":"https:\/newsletter.sinica.edu.tw\/30507\/","title":{"rendered":"\u3010\u5c08\u6b04\u3011\u806f\u5408\u5206\u6790\u554f\u5377\u8abf\u67e5\u5be6\u9a57\u6cd5\u5728\u653f\u6cbb\u5b78\u7814\u7a76\u4e2d\u7684\u61c9\u7528\uff1a\u4ee5\u7f8e\u570b\u6c11\u773e\u5c0d\u4e2d\u570b\u53ef\u4fe1\u8cf4\u7a0b\u5ea6\u7684\u8a55\u4f30\u70ba\u4f8b"},"content":{"rendered":"

\u6954\u5b50\uff1a\u7121\u6240\u4e0d\u5728\u7684\u591a\u7dad\u5ea6\u6c7a\u7b56<\/strong><\/p>\n

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1.\u4e2d\u570b\u7684\u8ecd\u4e8b\u5be6\u529b
\n2.\u4e2d\u570b\u7684\u7d93\u6fdf\u5be6\u529b
\n3.\u4e2d\u570b\u7684\u653f\u9ad4\u578b\u614b
\n4.\u4e2d\u570b\u7684\u653f\u6b0a\u5408\u6cd5\u6027\u4f86\u6e90
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\n9.\u4e2d\u570b\u63d0\u4f9b\u570b\u969b\u516c\u5171\u8ca1\u7684\u591a\u5be1
\n10.\u4e2d\u570b\u7684\u532f\u7387\u64cd\u7e31<\/p>\n

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\u25b2\u5716 2\uff1a\u806f\u5408\u5206\u6790\u554f\u5377\u8abf\u67e5\u5be6\u9a57\u7684\u7d50\u679c<\/p><\/div>\n

\u7f8e\u4e2d\u95dc\u4fc2\u53ef\u8aaa\u662f\u570b\u969b\u95dc\u4fc2\u4e2d\u7684\u91cd\u4e2d\u4e4b\u91cd\u3002\u570b\u969b\u95dc\u4fc2\u7814\u7a76\u8005\u61c9\u6301\u7e8c\u8015\u8018\uff0c\u77ad\u89e3\u7f8e\u570b\u6c11\u773e\u5982\u4f55\u505a\u51fa\u4e2d\u570b\u662f\u5426\u53ef\u4fe1\u7684\u6b0a\u8861\uff0c\u4ee5\u53ca\u6bcf\u500b\u5c6c\u6027\u5728\u9019\u500b\u5224\u65b7\u5f62\u6210\u4e2d\u6240\u8d77\u5230\u7684\u4f5c\u7528\u3002\u76fc\u85c9\u806f\u5408\u5206\u6790\u554f\u5377\u8abf\u67e5\u5be6\u9a57\u6cd5\u4e4b\u529b\uff0c\u6211\u5011\u80fd\u671d\u9019\u500b\u65b9\u5411\u7e7c\u7e8c\u9081\u958b\u5927\u6b65\u3002<\/p>\n

\n

1<\/sup>Jens Hainmueller, Daniel J. Hopkins, and Teppei Yamamoto, \u201cCausal Inference in Conjoint Analysis: Understanding Multidimensional Choices via Stated Preference Experiments, \u201dPolitical Analysis<\/em> 22, no.1\uff082014\uff09\uff1a1\u201330, https:\/doi.org\/10.1093\/pan\/mpt024<\/a>.
\n2<\/sup>Jens Hainmueller and Daniel J. Hopkins, \u201cThe Hidden American Immigration Consensus: A Conjoint Analysis of Attitudes toward Immigrants,\u201d American Journal of Political Science 59<\/em>, no.3\uff082015\uff09\uff1a529\u201348.
\n3<\/sup>Ronan Tse-min Fu, Astrid Ming-Yu Tsai, and I-Lien Lee, \u201cThe Trust Conundrum: Explaining How Americans View China’s Trustworthiness,\u201d Working Paper\uff082023\uff09, Institute of Political Science, Academia Sinica.
\n4<\/sup>\u76ee\u524d\u628a\u806f\u5408\u5206\u6790\u554f\u5377\u8abf\u67e5\u5be6\u9a57\u6cd5\u61c9\u7528\u5230\u570b\u969b\u95dc\u4fc2\u7684\u7d93\u5178\u61c9\u662f\u4e0b\u9762\u9019\u7bc7\u6587\u7ae0\uff1a Joshua D. Kertzer, Jonathan Renshon, and Keren Yarhi-Milo, \u201cHow Do Observers Assess Resolve?,\u201d British Journal of Political Science<\/em> 51, no.1\uff082021\uff09\uff1a308\u201330, https:\/doi.org\/10.1017\/S0007123418000595<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

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