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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 謝清麟(Ching-Lin Hsieh) | |
| dc.contributor.author | Kuan-Wei Chen | en |
| dc.contributor.author | 成冠緯 | zh_TW |
| dc.date.accessioned | 2022-11-24T03:45:06Z | - |
| dc.date.available | 2021-07-23 | |
| dc.date.available | 2022-11-24T03:45:06Z | - |
| dc.date.copyright | 2021-07-23 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-07-16 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/81355 | - |
| dc.description.abstract | "背景：情緒辨識 (emotional recognition) 是人們判讀他人情緒之能力，通常包含快樂、悲傷、生氣、厭惡、害怕、驚訝、輕蔑，以及平靜/無情緒等8種情緒類別之辨識。思覺失調症患者普遍罹患情緒辨識損傷，影響其人際互動以及社會功能。目前常用之情緒辨識測驗因評估向度不完整、缺乏個別情緒類別指標、心理計量特性大多未知與缺乏華人刺激物等限制，難以提供完整、精準且適用於國人之情緒辨識評估。 目的：發展適用於思覺失調症患者之電腦化情緒辨識影音測驗 (Computerized Emotional Recognition Video Test, CERVT)，並驗證其心理計量特性，包含建構效度、羅序–受測者信度、再測信度、隨機測量誤差、練習效應，以及已知族群效度。 方法：本研究分為二階段：（一）以4步驟發展CERVT：(1) 建立初版測驗：自「台灣地區華人情緒與相關心理生理資料庫—基本情緒聲調」擇取包含8種情緒類別之影音刺激物，以組成初版測驗；(2) 臨床施測初版測驗：施測於思覺失調症患者及健康成人；(3) 分析並決定CERVT最終版測驗（含驗證建構效度、信度及已知族群效度）：針對初版測驗分析多向度羅序模型之適配度，挑選測量特性良好之題目作為最終版測驗；(4) 發展電腦施測介面。（二）驗證CERVT之心理計量特性：患者接受2次測驗（間隔2週），以檢驗CERVT之再測信度、隨機測量誤差以及練習效應。 研究結果：第一階段中，初版測驗共238題（8種情緒），並施測於446位受測者（含269位患者及177位健康成人）。刪除21題適配度不佳之題目後，剩餘217題之適配度良好 (infit and outfit mean square = 0.53–1.36)，且8種情緒向度之第一個殘差主成份特徵值小 (≤ 3.0)，支持個別單向度之假設。其中26題具嚴重性別差異試題功能 (differential item functioning, DIF)，為控制其性別偏差，故於施測這些題目時會依據受測者之性別給予不同分數。各向度皆具有良好至極佳的信度（平均信度 = 0.85–0.93），並有良好之已知族群效度 (Cohen’s d = -1.41–-0.75)。第二階段共75位患者參與，結果顯示CERVT各向度具可接受至良好的再測信度 (intraclass correlation coefficient = 0.66–0.81) 與稍高的隨機測量誤差 (percentage of standard error of measurement = 11.0%–19.2%)。 結論：CERVT可評估8種情緒辨識能力，且有可接受之信效度，具備潛力可應用於臨床與研究，以提供完整、準確且有效之情緒辨識評估。 " | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-24T03:45:06Z (GMT). No. of bitstreams: 1 U0001-1507202111525800.pdf: 2715887 bytes, checksum: 19d34a9967d08668315adba4e9ffe033 (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | 口試委員會審定書 I 中文摘要 II 英文摘要 IV 圖目錄 VIII 表目錄 IX 第一章 情緒辨識簡介 1 第一節 情緒辨識之定義與重要性 1 第二節 情緒辨識相關理論 2 第三節 情緒辨識之影響因子 6 第二章 思覺失調症之情緒辨識損傷 8 第一節 思覺失調症簡介 8 第二節 思覺失調症患者之情緒辨識損傷 9 第三章 情緒辨識測驗之介紹與評析 11 第一節 良好情緒辨識測驗之主要特性 11 第二節 常用情緒辨識測驗之介紹 15 第三節 常用情緒辨識測驗之缺點及影響 18 第四節 情緒辨識測驗電腦化之優勢 19 第五節 多向度羅序模型 (multidimensional Rasch model) 20 第四章 研究目的 22 第五章 研究方法 23 第一節 階段一：發展CERVT 23 第二節 階段二：驗證CERVT之心理計量特性 30 第六章 研究結果 32 第一節 階段一：CERVT之發展 32 第二節 階段二：驗證CERVT之心理計量特性 39 第七章 討論 40 第八章 結論 49 參考文獻 50 附錄一、CERVT各向度題目之難度及模型適配度 85 | |
| dc.language.iso | zh-TW | |
| dc.subject | 思覺失調症 | zh_TW |
| dc.subject | 情緒辨識 | zh_TW |
| dc.subject | 電腦化測驗 | zh_TW |
| dc.subject | 心理計量特性 | zh_TW |
| dc.subject | computerized testing | en |
| dc.subject | emotional recognition | en |
| dc.subject | psychometric property | en |
| dc.subject | schizophrenia | en |
| dc.title | 發展適用於思覺失調症患者之電腦化情緒辨識影音測驗 | zh_TW |
| dc.title | Development of a computerized emotional recognition video test in patients with schizophrenia | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 博士 | |
| dc.contributor.oralexamcommittee | 薛漪平(Hsin-Tsai Liu),陳柏熹(Chih-Yang Tseng),江心瑜,黃小玲 | |
| dc.subject.keyword | 思覺失調症,情緒辨識,電腦化測驗,心理計量特性, | zh_TW |
| dc.subject.keyword | schizophrenia,emotional recognition,computerized testing,psychometric property, | en |
| dc.relation.page | 96 | |
| dc.identifier.doi | 10.6342/NTU202101482 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2021-07-16 | |
| dc.contributor.author-college | 醫學院 | zh_TW |
| dc.contributor.author-dept | 職能治療研究所 | zh_TW |
| 顯示於系所單位： | 職能治療學系 | |
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