學術產出-Theses

題名 社交互動焦慮與憂鬱的階層特徵預測模式
The hierarchical characteristic predictor model of social interaction anxiety and depression
作者 邱于真
貢獻者 許文耀
邱于真
關鍵詞 社交互動焦慮
憂鬱
害怕正向評價
害怕負向評價
正向情感
負向情感
三元模式
Social interaction anxiety
Depression
Fear of positive evaluation
Fear of negative evaluation
Positive affect
Negative affect
Tripartite model
日期 2008
上傳時間 19-Sep-2009 11:55:21 (UTC+8)
摘要 Clark與Watson(1991)焦慮與憂鬱的三元模式及後續相關理論(Mineka, Watson, & Clark, 1998)對焦慮疾患與憂鬱疾患的高共病率現象提出了解釋:兩疾患高共病率之因乃共同擁有負向情感共同因子,而憂鬱疾患因擁有低正向情感特殊因子使之與焦慮疾患有所區辨。然而透過文獻回顧已知社交互動焦慮疾患與憂鬱疾患皆擁有高負向情感與低正向情感兩類因子(Hughes, Heimberg, Coles, Gibb, Liebowitz, & Schneier, 2006),故目前依三元模式及其相關文獻的架構(Brown, Chorpita, & Barlow, 1998; Hughes et al., 2006; Kashdan, 2002),尚未找出得以區辨社交互動焦慮、憂鬱兩疾患不同之因子。本研究即以三元模式裡已架構的一般因子負向情感、特殊因子正向情感,再加入特殊因子害怕負向評價、以及獨特因子害怕正向評價,來建構社交互動焦慮與憂鬱的階層特徵預測模式:負向情感與正向情感屬於高階因子,為影響著社交互動焦慮與憂鬱的脆弱因子;害怕負向評價與害怕正向評價屬為低階因子,是受到社交互動焦慮與憂鬱影響的症狀向度,其中害怕正向評價即具有能區分社交互動焦慮與憂鬱兩疾患不同之區分因子概念,屬於社交互動焦慮的獨特因子。本研究主要以大學部學生為樣本,共計收取566份問卷,再進行結構方程模式統計分析。結果支持社交互動焦慮與憂鬱的階層特徵預測模式之架構,害怕正向評價為社交互動焦慮的獨特因子,能作為社交互動焦慮、憂鬱間的區分因子。然而本研究假設之一:兩疾患對害怕負向評價此特徵的預測力不同,則在統計分析中未達顯著。最後,提出本研究貢獻與其在臨床上的應用,並進一步探討本研究可能的限制,以及未來研究方向。
Clark and Watson’s (1991) tripartitle model of anxiety and depression and Mineka, Watson, and Clark’s (1998) an integrative hierarchical model of mood and anxiety disorders explain why the comorbility of anxiety and depression (unipolar mood disorders) is high: the reason of high comorbility of anxiety and depression is these two kinds of disorders contain commom factor—negative affect. Besides low positive affect can differentiates depression from anxiety,that is depression contains low positive affect, but anxiety doesn’t. But from research review, both social interaction anxiety and depression associate with negative affect and low positive affect (Hughes, Heimberg, Coles, Gibb, Liebowitz, & Schneier, 2006). Given this finding, on the structure of tripartite model and other relevant studies (Brown, Chorpita, & Barlow, 1998; Hughes et al., 2006; Kashdan, 2002 ), until now the differential factor of social interaction anxiety and depression is not found. In this study, the factors of tripartite model: a general factor—negative affect, and a specific factor—positive affect, are included. Besides, a specific factor—fear of negative evaluation, and a unique factor—fear of positive evaluation, also are added to our research to build the hierarchical characteristic predictor model of social interaction anxiety and depression. In the hierarchical characteristic predictor model, negative affect and positive affect are higher order factors that influence and could be vulnerabilities to social interaction anxiety and depression; fear of negative evaluation and fear of positive evaluation are lower order factors that are influenced by social interaction anxiety and depression and are dimension of symptoms. Fear of positive evaluation is a unique factor of social interaction anxiety, it accounts for the diversity of these two kinds of disorders and is a differentiable key factor. The participants were college students, and the sample consisted of 566 individuals. The data were examined by structural equation modeling. The results were that most of the hypotheses of the hierarchical characteristic predictor model of social interaction anxiety and depression were supported by data analysis. One of the hypotheses: fear of positive evaluation is a unique factor of social interaction anxiety and is a key factor that can distinct social interaction anxiety from depression , was also proved. But one of the other hypotheses: fear of negative evaluation containing amounts of variance attributable to social interaction anxiety and to depression are different; social interaction anxiety contains a more component of fear of negative evaluation than depression does, in this study, the difference was not significant different. Finally, discussing this study’s contribution, practical application in treatment, and the limitations, we give some directions and suggestions for the future research.
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描述 碩士
國立政治大學
心理學研究所
94752018
97
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0094752018
資料類型 thesis
dc.contributor.advisor 許文耀zh_TW
dc.contributor.author (Authors) 邱于真zh_TW
dc.creator (作者) 邱于真zh_TW
dc.date (日期) 2008en_US
dc.date.accessioned 19-Sep-2009 11:55:21 (UTC+8)-
dc.date.available 19-Sep-2009 11:55:21 (UTC+8)-
dc.date.issued (上傳時間) 19-Sep-2009 11:55:21 (UTC+8)-
dc.identifier (Other Identifiers) G0094752018en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/37075-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 心理學研究所zh_TW
dc.description (描述) 94752018zh_TW
dc.description (描述) 97zh_TW
dc.description.abstract (摘要) Clark與Watson(1991)焦慮與憂鬱的三元模式及後續相關理論(Mineka, Watson, & Clark, 1998)對焦慮疾患與憂鬱疾患的高共病率現象提出了解釋:兩疾患高共病率之因乃共同擁有負向情感共同因子,而憂鬱疾患因擁有低正向情感特殊因子使之與焦慮疾患有所區辨。然而透過文獻回顧已知社交互動焦慮疾患與憂鬱疾患皆擁有高負向情感與低正向情感兩類因子(Hughes, Heimberg, Coles, Gibb, Liebowitz, & Schneier, 2006),故目前依三元模式及其相關文獻的架構(Brown, Chorpita, & Barlow, 1998; Hughes et al., 2006; Kashdan, 2002),尚未找出得以區辨社交互動焦慮、憂鬱兩疾患不同之因子。本研究即以三元模式裡已架構的一般因子負向情感、特殊因子正向情感,再加入特殊因子害怕負向評價、以及獨特因子害怕正向評價,來建構社交互動焦慮與憂鬱的階層特徵預測模式:負向情感與正向情感屬於高階因子,為影響著社交互動焦慮與憂鬱的脆弱因子;害怕負向評價與害怕正向評價屬為低階因子,是受到社交互動焦慮與憂鬱影響的症狀向度,其中害怕正向評價即具有能區分社交互動焦慮與憂鬱兩疾患不同之區分因子概念,屬於社交互動焦慮的獨特因子。本研究主要以大學部學生為樣本,共計收取566份問卷,再進行結構方程模式統計分析。結果支持社交互動焦慮與憂鬱的階層特徵預測模式之架構,害怕正向評價為社交互動焦慮的獨特因子,能作為社交互動焦慮、憂鬱間的區分因子。然而本研究假設之一:兩疾患對害怕負向評價此特徵的預測力不同,則在統計分析中未達顯著。最後,提出本研究貢獻與其在臨床上的應用,並進一步探討本研究可能的限制,以及未來研究方向。zh_TW
dc.description.abstract (摘要) Clark and Watson’s (1991) tripartitle model of anxiety and depression and Mineka, Watson, and Clark’s (1998) an integrative hierarchical model of mood and anxiety disorders explain why the comorbility of anxiety and depression (unipolar mood disorders) is high: the reason of high comorbility of anxiety and depression is these two kinds of disorders contain commom factor—negative affect. Besides low positive affect can differentiates depression from anxiety,that is depression contains low positive affect, but anxiety doesn’t. But from research review, both social interaction anxiety and depression associate with negative affect and low positive affect (Hughes, Heimberg, Coles, Gibb, Liebowitz, & Schneier, 2006). Given this finding, on the structure of tripartite model and other relevant studies (Brown, Chorpita, & Barlow, 1998; Hughes et al., 2006; Kashdan, 2002 ), until now the differential factor of social interaction anxiety and depression is not found. In this study, the factors of tripartite model: a general factor—negative affect, and a specific factor—positive affect, are included. Besides, a specific factor—fear of negative evaluation, and a unique factor—fear of positive evaluation, also are added to our research to build the hierarchical characteristic predictor model of social interaction anxiety and depression. In the hierarchical characteristic predictor model, negative affect and positive affect are higher order factors that influence and could be vulnerabilities to social interaction anxiety and depression; fear of negative evaluation and fear of positive evaluation are lower order factors that are influenced by social interaction anxiety and depression and are dimension of symptoms. Fear of positive evaluation is a unique factor of social interaction anxiety, it accounts for the diversity of these two kinds of disorders and is a differentiable key factor. The participants were college students, and the sample consisted of 566 individuals. The data were examined by structural equation modeling. The results were that most of the hypotheses of the hierarchical characteristic predictor model of social interaction anxiety and depression were supported by data analysis. One of the hypotheses: fear of positive evaluation is a unique factor of social interaction anxiety and is a key factor that can distinct social interaction anxiety from depression , was also proved. But one of the other hypotheses: fear of negative evaluation containing amounts of variance attributable to social interaction anxiety and to depression are different; social interaction anxiety contains a more component of fear of negative evaluation than depression does, in this study, the difference was not significant different. Finally, discussing this study’s contribution, practical application in treatment, and the limitations, we give some directions and suggestions for the future research.en_US
dc.description.tableofcontents 第一章 緒論 1
研究背景與動機 1
第二章 文獻探討 5
第一節 社交焦慮與憂鬱的三元模式理論及其延伸理論與社交焦慮 5
第二節 社交焦慮與憂鬱的共病現象與三元模式理論 10
小結 三元模式及其延伸相關理論與社交互動焦慮、憂鬱之當前未解決問題
與本研究目的 12
第四節 其他相關聯的臨床特徵 13
第三章 研究假設 26
第一節 社交互動焦慮與憂鬱的階層特徵預測模式假設 26
第二節 競爭模式 28
第三節 社交互動焦慮與憂鬱的階層特徵預測模式與兩種競爭模式的適切性-契合度指標之假設 30
第四章 研究方法 33
第一節 研究對象 33
第二節 研究工具 35
第三節 統計方法 42
第五章 研究結果 45
第一節 測量變項的描述統計 45
第二節 資料處理與參數估計 46
第三節 模式評鑑 50
第四節 假設模式的模式修飾檢查 52
第五節 FPE作為社交焦慮獨特因子之論述 53
第六節 FNE作為社交互動焦慮、憂鬱的特殊因子—展現在兩者間的歸因變異 量是否有所差異 56
第七節 社交互動焦慮對FNE與FPE的預測度 57
第六章 討論與建議 59
第一節 討論與建議 59
第二節 限制與建議 64
參考文獻 65
附錄 實際施測使用問卷 83
表次
表1 三類別因子假設 27
表2 受試者年齡與各量表之描述統計、內部一致性信度係數 45
表3 測量變項的共變數矩陣 47
表4 假設模式的標準化解 48
表5 本研究假設模式與競爭模式的契合度指標 50
表6 巢套模式比較—加入Dep到FPE路徑新模式與假設模式之卡方差異檢定結 果 55
表7 巢套模式比較—加入Dep到FPE路徑新模式與設定Dep到FPE路徑、SIA到FPE路徑參數相等新模式之卡方差異檢定結果 55
表8 巢套模式比較—假設模式與設定Dep到FNE路徑、SIA到FNE路徑參數相等新模式之卡方差異檢定結果 57
表9 巢套模式比較—假設模式與設定SIA到FNE路徑、SIA到FPE路徑參數相等新模式之卡方差異檢定結果 58
圖次
圖1 社交互動焦慮與憂鬱的階層特徵預測模式 27
圖2 競爭模式 30
圖3 假設模式的模式設定 43
圖4 假設模式的標準化解 49
圖5 加入憂鬱到害怕正向評價路徑新模式的標準化解 54
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dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0094752018en_US
dc.subject (關鍵詞) 社交互動焦慮zh_TW
dc.subject (關鍵詞) 憂鬱zh_TW
dc.subject (關鍵詞) 害怕正向評價zh_TW
dc.subject (關鍵詞) 害怕負向評價zh_TW
dc.subject (關鍵詞) 正向情感zh_TW
dc.subject (關鍵詞) 負向情感zh_TW
dc.subject (關鍵詞) 三元模式zh_TW
dc.subject (關鍵詞) Social interaction anxietyen_US
dc.subject (關鍵詞) Depressionen_US
dc.subject (關鍵詞) Fear of positive evaluationen_US
dc.subject (關鍵詞) Fear of negative evaluationen_US
dc.subject (關鍵詞) Positive affecten_US
dc.subject (關鍵詞) Negative affecten_US
dc.subject (關鍵詞) Tripartite modelen_US
dc.title (題名) 社交互動焦慮與憂鬱的階層特徵預測模式zh_TW
dc.title (題名) The hierarchical characteristic predictor model of social interaction anxiety and depressionen_US
dc.type (資料類型) thesisen
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