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研究生:李敦仁
研究生(外文):Lee, Duen Ren
論文名稱:父母參與對青少年學習成長軌跡的影響之貫時追蹤研究:以TEPS資料分析為例
論文名稱(外文):The panel study of the effects of parental involvement on adolescent academic growth trajectories in Taiwan: evidence from Taiwan education panel survey
指導教授:余民寧余民寧引用關係
指導教授(外文):Yu, Min Ning
學位類別:博士
校院名稱:國立政治大學
系所名稱:教育研究所
學門:教育學門
學類:綜合教育學類
論文種類:學術論文
畢業學年度:99
語文別:中文
論文頁數:171
中文關鍵詞:父母參與學習成長軌跡臺灣教育長期追蹤資料庫潛在成長曲線模型固定樣本貫時追蹤研究
外文關鍵詞:parental involvementacademic growth trajectoriesTEPSlatent growth curve modelingpanel study
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過去關於父母參與效果的研究發現:父母參與有助於提升子女的學習成就。由於父母參與被視為一種社會資本或文化資本的延伸,父母參與的愈多,其子女學習效果也愈好。有鑑於此,本研究主要在探討父母參與在家庭社經地位和子女學習成就之間所扮演的角色,並將研究目的細分為三個研究議題。首先,根據智力發展理論與認知能力成長曲線相關研究,第一個議題探討臺灣青少年學生學習成長軌跡的發展與變化情形為何?接著,運用 Bourdieu 的文化資本與 Coleman 的社會資本的概念說明父母參與的重要性,其它兩個議題則探討家庭社經地位對子女學習成長軌跡的影響歷程中,父母參與扮演著中介效果還是交互作用效果?
原始資料來源取自臺灣教育長期追蹤資料庫(Taiwan Education Panel Survey)公共使用版中的第一波到第四波國中長期追蹤樣本,使用潛在成長曲線模型進行次級資料分析。研究結果發現:1.就整體學習發展型態來看,臺灣青少年學生學習成長軌跡的發展是一種非線性遞增減速的成長曲線,年級愈高,學習成長速率愈慢;2.就個別學習成長軌跡而言,學生間起始狀態與成長速率有個別差異現象,進一步透過潛在成長混合模型的分析,發現學生學習成長軌跡的發展型態並無類別上的差異;3.學生的起始能力會影響學習成長速率的變化而產生馬太效應;4.隨著時間的遞移,高起始能力組的學生,其學習成長速率高於低起始能力組的學生,兩者的學習成就間差距會逐漸擴大而產生扇形擴散效應;5.父母參與對子女學習成就表現有顯著正向的短期立即效果與長期延宕效果,但波段與波段之間的延宕效果則沒有顯著差異;6.在家庭社經地位對子女學習成長軌跡的影響歷程中,父母參與扮演著部份中介而不調節的影響效果。
最後,依據上述研究發現,就研究結果與研究方法兩方面,將提出相關研究建議以供實務參考及後續研究之用。

The previous research has shown that parental involvement produces measurable gains in student achievement. Since parental involvement is seen as a form of social capital and cultural capital, it is possible that the more a student owns parental involvement, the bigger the effect is. Thus, this study explores what role parental involvement plays between parents’ social-economic status and their children’s academic performance. The major purpose is further categorized into three specific questions. Based on the intelligence developmental theory and growth curve analyses of cognitive ability, the first is to inquire what patterns the development and change of academic growth trajectories of Taiwanese teenager’s academic performance are. Using the concepts of Bourdieu’s cultural capital and Coleman’s social capital to explain the importance of parental involvement, the other two purposes are to explore whether the effects of parental involvement on adolescent academic growth trajectories are mediated or moderated by family socioeconomic status.
Using the data from the public released core panel data of the Taiwan Education Panel Survey (TEPS) in 2001, 2003, 2005, and 2007, this study employs the method of the latent growth curve modeling to address research questions. The results are the following: (1) Academic growth trajectory of Taiwan adolescence’s achievement reveals a nonlinear de-accelerating growth curve; (2) There are significant individual differences in both the initial status and growth rate of achievement among students, but further employing different latent growth mixture models shows no individual differences in the patterns of academic growth trajectories; (3) The Matthew Effects occur in the academic growth trajectories of Taiwanese teenagers; (4) Students with lower initial status learn more slowly over time than those with higher initial status do, and the “fan-spread” effect is found; (5) There are positive short-term and longer term effects of parental involvement on the Taiwanese adolescents’ academic achievement performance, but no significant difference among patterns of longer term effects over 6 years; (6) The effects of parental involvement are partially mediated, but not moderated by family SES.
Finally, the study discusses the implications of parental involvement and suggests directions for future research.

謝辭……………………………………………….……………….I
中文摘要……………………………………………….…………Ⅲ
英文摘要……………………………………………….…………V

第一章 緒論
第一節 研究背景與動機………………………………………1
第二節 研究目的與研究問題…………………………………5
第三節 名詞釋義………………………………………………6
第四節 研究限制………………………………………………8

第二章 文獻探討
第一節 TEPS綜合分析能力與青少年認知能力的發展和變化………………………………………………………11
第二節 父母參與的理論基礎與實徵研究……………………21
第三節 固定樣本貫時追蹤研究………………………………41

第三章 研究設計與實施
第一節 研究架構與研究假設的依據…………………………57
第二節 研究對象與資料來源…………………………………61
第三節 變項的定義與測量……………………………………64
第四節 資料處理與分析策略…………………………………69

第四章 結果與討論
第一節 有效分析樣本的基本描述統計………………………77
第二節 臺灣青少年學習成長軌跡的發展與變化……………85
第三節 父母參與的中介效果分析…………………………….95
第四節 家庭社經地位與父母參與的交互作用效果分析……103
第五節 綜合討論………………………………………………105.

第五章 結論與建議
第一節 結論……………………………………………………111
第二節 建議……………………………………………………114

參考文獻
壹、中文部分……………………………………………………119
貮、西文部分……………………………………………………120

附錄
附錄一 關於變項測量與處理的STATA語法………............... 133
附錄二 分析青少年學習成長軌跡的Mplus語法..................... 141
附錄三 檢定父母參與中介效果的Mplus語法…………..…. 147
附錄四 檢定家庭社經地位與父母參與交互作用效果的Mplus語法……………………………………………151










表 次
表1 研究假設的理論與文獻之依據…………………………........60
表2 TEPS國中樣本資料蒐集進程表……………………………..62
表3 本研究各種操作化模型………………………………………75
表4 有效分析樣本描述統計分析摘要表…………………………79
表5 低、中、高三種起始能力組別描述統計分析摘要表………80
表6 與父母親同住有效分析樣本描述統計分析摘要表…………82
表7 四波學習成就未加權相關係數矩陣、平均數與標準差……83
表8 家庭社經地位、父母參與和四波學習成就的未加權相關係數矩陣、平均數與標準差 …………………………………84
表9 潛在成長曲線測量模型的適配度指標摘要表………………88
表10 找出最佳的學習成長軌跡類別數………………………….90
表11 二因子非線性成長曲線模型參數估計結果摘要表……….91.
表12 三種不同起始能力組別的學生在學習成長量的差異檢定結果分析摘要表….…………………………………………..93
表13 檢定父母參與中介效果的潛在成長曲線模型分析摘要表..101
表14 家庭社經地位與父母參與對學習成長軌跡及四波學習成就的效果量………………………………………..………...102

圖 次
圖1 能力之架構示意…………………………………................12
圖2 Bayley的智力成長曲線……………………………………15
圖3 Gf-Gc理論的智力成長曲線之理論描述………………….16
圖4 Gf-Gc理論的語文與非語文智力成長曲線……………….17
圖5 父母參與和孩童表現之影響因素模型……………………36
圖6 一般典型的潛在成長曲線模型路徑圖……………………47
圖7 二因子非線性潛在成長曲線模型…………………………50
圖8 二因子非線性潛在成長混合模型…………………………52
圖9 以父母參與為中介變項的條件潛在成長曲線模型………54
圖10 家庭社經地位與父母參與交互作用的潛在成長曲線模型56
圖11 學習成長軌跡………………………………………………57
圖12 父母參與的中介效果………………………………………58
圖13 家庭社經地位與父母參與的交互作用效果………………59
圖14 類型一:第一段斜率和第二段斜率呈倒V字型…............70
圖15 類型二:第一段斜率和第二段斜率呈V字型……………71.
圖16 類型三:第二段斜率和第三段斜率呈倒V字型………….71
圖17 類型四:第二段斜率和第三段斜率呈V字型.…………….72
圖18 類型五:第一、二段斜率漸升與第三段斜率呈倒V字型…72
圖19 類型六:第一、二段斜率漸降與第三段斜率呈V字型…...73
圖20 從2,592筆資料隨機抽取1%所繪製的學習成長曲線……78
圖21 高、中、低三種起始能力組別的學習成長曲線…………81
圖22 二因子非線性成長曲線模型參數估計結果圖示…………92
圖23 臺灣青少年的學習成長曲線圖……………………………92
圖24 學習成長軌跡測量模型的參數估計結果圖示……………94
圖25 家庭社經地位對學習成長軌跡影響效果的參數估計結果圖示.............................................96
圖26 家庭社經地位對父母參與影響效果的參數估計結果圖示..97
圖27 父母參與對學習成長軌跡影響效果的參數估計結果圖示..98
圖28 以父母參與為中介變項的潛在成長曲線模型參數估計結..99
果圖示………………………………………………………......100
圖29家庭社經地位與父母參與的交互作用效果模型參數估計
結果圖示……………………………………………………......104

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