| 研究生: |
黃筠婷 Huang, Yun-Ting |
|---|---|
| 論文名稱: |
學業情緒潛在狀態-特質分析暨學業情緒控制-價值-代價模式之驗證 The Latent State-Trait Analysis of Academic Emotions and The Verification of Academic Emotions Control-Value-Cost Model |
| 指導教授: |
程炳林
Cherng, Biing-Lin |
| 學位類別: |
博士 Doctor |
| 系所名稱: |
社會科學院 - 教育研究所 Institute of Education |
| 論文出版年: | 2020 |
| 畢業學年度: | 108 |
| 語文別: | 中文 |
| 論文頁數: | 174 |
| 中文關鍵詞: | 學業情緒 、潛在狀態-特質分析 、控制-價值理論 、期望-價值模式 、代價 |
| 外文關鍵詞: | Academic emotions, Latent state-trait analysis, Control-value theory, Expectancy-value model, Cost |
| 相關次數: | 點閱:276 下載:0 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
本研究之目的有二:(一)分析國中生從事英語科學習時,所經歷的學業情緒之狀態、特質成份比例。(二)驗證本研究建構之學業情緒控制-價值-代價模式與觀察資料的適配度。
為完成前述目的,本研究共進行二個縱貫研究。在研究一中,本研究以臺灣南部直轄市257位國中一年級學生為研究對象,受試者接受學業情緒量表三次的測量,將蒐集的三波觀察資料進行潛在狀態-特質理論(Latent State-Trait theory)分析。在研究二中,本研究以臺灣南部直轄市587位國中一、二年級年級學生為研究對象,受試者接受學業情緒量表、同儕目標結構量表、教師正向領導量表、自我效能分量表、工作價值分量表、代價量表二次的測量,所蒐集的二波觀察資料以SEM進行考驗。本研究發現如下:
一、研究一的結果發現,愉悅、生氣、焦慮、希望、羞愧和無趣獲得單一特質-多狀態-多方法模式(STMSMM)支持,而無望和自豪獲得單一特質-多狀態模式(STMS)支持。如同本研究的假設,八種情緒同時具有特質和狀態成份,但是無望和自豪並無方法特定性,其餘六種情緒具有方法特定性。進一步分析顯示,八種情緒的特質成份皆大於狀態成份;負向情緒的生氣、焦慮、羞愧、無趣和無望的狀態成份比正向情緒的愉悅、希望、和自豪的狀態成份高,即正向情緒的特質成份比負向情緒的特質成份高。
二、研究二的結果顯示本研究所建構的學業情緒控制-價值-代價模式具有良好整體、內在適配度。在模式潛在變項間的效果方面,環境變項能正向預測評估變項;在潛在變項之交互效果關係方面,學生的希望、自豪與自我效能具有正向交互效果關係;學生的焦慮、希望、無望、無趣與價值具有交互效果關係;學生的生氣、焦慮、羞愧、無望與代價-自尊具有交互效果關係;學生的生氣、焦慮、羞愧、無望、無趣與代價-情緒具有交互效果關係。在學業情緒對環境變項的預測效果方面,學生先前的愉悅、希望、自豪可以正向預測其後的教師正向領導;學生先前的希望、自豪可以正向預測其後的同儕精熟目標,學生先前的無望、無趣負向預測其後的同儕精熟目標;學生先前的生氣、焦慮、羞愧、無望、無趣可以正向預測其後的同儕表現目標、負向預測其後的教師正向領導。研究結果部分支持本研究之假設,環境變項影響評估變項,再影響學業情緒,學業情緒會回饋影響評估變項自我效能、價值、代價及環境變項。
本研究根據研究結果提出建議,以提供國中教學現場及未來研究之參考。
The purposes of the present research were to: (1) analyze the percentages of state and trait of junior high school students’ academic emotions when they learn English in English class. (2) construct the academic emotions control-value-cost model and verify with an empirical model-fitting analysis. There were two longitudinal studies in this research. In study 1, data collected from a longitudinal study with 7th grade junior high school students ( N = 257) were used to analyze the latent state-trait of academic emotions. In study 2, data collected from a longitudinal study with 7th and 8th grade junior high school students ( N = 587) were used to verify the academic emotions control-value-cost model. The present study applied structural equation modeling to analyze the data by using LISREL 8.80 and SPSS for Windows 23.0. The results of the present study were summarized as below: (1) Academic Emotions: enjoyment, anger, anxiety, hope, shame, and boredom fitted STMSMM, and hopelessness and pride fitted STMS. These eight academic emotions all included trait and state. Also, the results showed that there was no method influence in the measurement of hopelessness and pride, and there was method influence in the other six academic emotions. (2) The academic emotions control-value-cost model fitted the data very well. The results showed that the environmental variables can positively predict the appraisal variables, there had been reciprocal relations between academic emotions and appraisal variables, and the previous academic emotions can predict their subsequent environmental variables.
中文部分
毛國楠、劉政宏、彭淑玲、李維光、陳慧娟(2008)。能力信念、學業自我價值後效與學業成就對國小學生學習動機與學習情緒之影響。教育心理學報,39(4),569-588。
吳清山(2013)。正向領導。教育研究月刊,230,136-137。
吳靜吉、程炳林(1992)。國民中小學生學習動機、學習策略與學業成績之相關研究。國立政治大學學報,66,13-39。
李俊青(2007)。學業情緒歷程模式分析(未出版之碩士論文)。國立成功大學,臺南市。
林宴瑛、程炳林(2012)。環境目標結構與控制-價值信念對學業情緒之效果。教育心理學報,44(1),49-72。
林曉芳(2016)。國中生數學科課業任務價值量表之建構。臺中教育大學學報:教育類,30(1),53-80。
陳正昌、程炳林、陳新豐、劉子鍵(2011)。多變量分析方法-統計軟體應用(五版)。臺北市:五南。
陳春方(2015)。從期望價值理論探討智力對學業成就之影響(未出版之碩士論文)。臺北市立大學,臺北市。
陳虹瑾(2007)。國中生社會目標歷程分析:環境-社會與成就目標模式之檢驗(未出版之碩士論文)。國立成功大學,臺南市。
程炳林(2006,09月)。個人目標導向的潛在狀態-特質成份分析。「台灣心理學會第45屆年會」發表之論文,臺北市私立東吳大學。
程炳林(2015)。國中生課業情緒的測量、發展與領域特定性(2/3-3/3)。科技部專題研究計畫成果報告(計畫編號102-2410-H-006 -108 -MY2)。
程炳林、林清山(2001)。中學生自我調整學習量表之建構及其信、效度研究。測驗年刊, 48(1), 1-41。
張憲卿、程炳林(2010)。成敗情境對行動與狀態導向者負向情感、自我效能與工作記憶容量之影響。教育心理學報,41(3),605-634。
黃智淵(2016)。家長自主支持、基本心理需求、自主動機與國小學生學業情緒關係之探究。教育研究學報,50(1),67-92。
施淑慎(2004)。成就目標、自我效能、以及策略使用在考試焦慮上所扮演之角色。國立臺北師範學院學報:教育類,17(1),355-378。
劉玉玲、沈淑芬(2015)。數學自我概念、數學學習策略、數學學業情緒與數學學業成就之研究─自我提升模式觀點。教育心理學報,46(4),491-516。
劉美鈴(2017)。教師正向領導對學生學習表現影響之研究:以資通訊科技運用為中介變項(未出版之碩士論文)。國立清華大學,新竹市。
陳敏瑜、游錦雲(2017)。學生知覺教師期望、能力信念、實用價值與內在價值對臺灣八年級學生數理成就之影響:以 TIMSS 2011 多層次結構方程式模型為例。教育科學研究期刊,62(1),59-102。
蔡欣樺(2015)。父母投入對國中生學習涉入之影響:期望-價值動機之中介效果分析。教育科學期刊,15(2),65-92。
謝傳崇(2011)。校長正向領導-理念、研究與實踐。臺北市:高等教育出版社。
謝傳崇(譯)(2011)。正向領導(原作者:Cameron, K.)。臺北市:巨流。
謝傳崇、許文薇(2014)。國民小學校長正向領導、肯定式探詢策略與教師希望感關係之研究。南大教育研究學報,48(1),67-86。
謝傳崇、陳詩喬、謝宜君(2017)。國民小學教師正向領導、ICT 運用與學生創造力傾向關係之研究。教育行政論壇,9(1),1-27。
謝傳崇、蕭文智、王玉美(2015)。國民小學教師正向領導與學生學習表現關係之研究。學校行政,95,81-101。
謝傳崇、謝宜君(2016)。國民小學教師正向領導對學生幸福感影響之研究。師資培育與教師專業發展期刊,9(3),29-56。
簡嘉菱、程炳林(2013)。環境目標結構、自我決定動機與學業情緒之關係。教育心理學報,44(3),713-734。
蘇筱婷(2017)。大學生知覺教師正向領導、學生正念與其幸福感關係之研究(未出版之碩士論文)。國立臺北教育大學,臺北市。
賴英娟、巫博瀚(2018)。國中生所知覺到的教師自主支持、自我效能及自主動機對學業情緒之影響。課程與教學季刊,21(2),85-110。
西文部分
Ainley, M. & Ainley, J. (2011). Student engagement with science in early adolescence: The contribution of enjoyment to students’ continuing interest in learning about science. Contemporary Educational Psychology, 36(1), 4-12.
Anastasi, A. (1983). Evolving trait concepts. American Psychologist, 38(2), 175-184.
Amelang, M. & Bartussek, D., Stemmler, G. & Hagemann, D. (2006). Differentielle Psychologie und Persönlichkeitspsychologie (5. Auflage). Stuttgart: Kohlhammer.
Bandalos, D. L. (2002). The effects of item parceling on goodness-of-fit and parameter estimate bias in structural equation modeling. Structural Equation Modeling, 9, 78-102.
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: W. H. Freeman.
Beedie, C. J., Terry, P. C., & Lane, A. M. (2005). Distinguishing mood from emotion. Cognition and Emotion, 19, 847-878.
Beck, A. T. (1987). Cognitive models of depression. Journal of Cognitive Psychotherapy, 1(1), 5-37.
Beck, A. T., Davis, D. D., & Freeman, A. (Eds.). (2015). Cognitive therapy of personality disorders (3rd ed.). New York, NY: Guilford Press.
Bieg, M. (2013). Trait and state academic emotions: Two sides of the same coin? (Unpublished doctoral dissertation). Universitat Konstanz, Germany.
Browne, M.W. & Cudeck, R. (1993). Alternative ways of assessing model fit. In Bollen, K.A. & Long, J.S. (Eds.) Testing structural equation models. Newbury Park, CA: Sage, 136-162.
Cohen, J. (1997). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Erlbaum.
Crystal, D. (2003). English as a global language. Cambridge, UK: Cambridge University Press.
Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14(3), 464-504.
Cameron, K. S. (2008). Positive leadership: Strategies for extraordinary performance. San Francisco, CA: Berrett-Kohler.
Danner, D., Hagemann, D., Schankin, A., Hager, M., & Funke, J. (2011). Beyond IQ. A latent state trait analysis of general intelligence, dynamic decision making, and implicit learning. Intelligence, 39(5), 323-334.
Deinzer, R., Steyer, R., Eid, M., Notz, P., Schwenkmezger, P., Ostendorf, F., & Neubauer, A. (1995). Situational effects in trait assessment: The FPI, NEOFFI, and EPI questionnaires. European Journal of Personality, 9(1), 1-23.
Diener, E. (1999). Introduction to the special section on the structure of emotion. Journal of Personality and Social Psychology, 76(5), 803-804.
Downer, J. T., Rimm-Kaufman, S. E., & Pianta, R. C. (2007). How do classroom conditions and children's risk for school problems contribute to children's behavioral engagement in learning? School Psychology Review, 36(3), 413-432.
Dowding, I. & Haufe, S. (2018). Powerful Statistical Inference for Nested Data Using Sufficient Summary Statistics. Frontiers in Human Neurosci, 12:103.
D’Mello, S., Taylor, R. S., & Graesser, A. (2007). Monitoring affective trajectories during complex learning. In D. McNamara & J. Trafton (Eds.), Proceedings of the 29th Annual Cognitive Science Society (pp. 203-208). Austin, TX: Cognitive Science Society.
Eccles, J. S. (2004). Ability self-concepts, expectancies for success, subjective task values, and achievement-related choices. Keynote address at the meeting of the SELF Conference, Berlin, Germany.
Eccles, J. S., & Wigfield, A. (2000). Expectancy-value theory of achievement motivation. Contemporary Education Psychology, 25,68-81.
Eccles, J. S., Wigfield, A., Harold, R. D., & Blumenfeld, P. (1993). Age and gender differences in children’s self and task perceptions during elementary school. Child Development, 64(3), 830-847.
Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109-132.
Eccles, J. S., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J. L., & Midgley, C. (1983). Expectancies, values, and academic behaviors. In J. T. Spence (Ed.) , Achievement and achievement motivation (pp. 75-146). San Francisco, CA: W. H. Freeman.
Eid, M., Schneider, C., & Schwenkmezger, P. (1999). Do you feel better or worse? The validity of perceived deviations of mood states from mood traits. European Journal of Personality, 13(4), 283-306.
Erikson, E. (1968). Identity: Youth and crisis. New York, NY: Norton & Company.
Flake, J. K., Barron, K. E., Hulleman, C., McCoach, B. D., & Welsh, M. E. (2015). Measuring cost: The forgotten component of expectancy-value theory. Contemporary Educational Psychology, 41, 232-244.
Frenzel, A. C., Pekrun, R., & Goetz, T. (2007). Perceived learning environment and students' emotional experiences: A multilevel analysis of mathematics classrooms. Learning and Instruction, 17(5), 478-493.
Feldman, D. B., & Kubota, M. (2015). Hope, self-efficacy, optimism, and academic achievement: Distinguishing constructs and levels of specificity in predicting college grade-point average. Learning and Individual Differences, 37, 210-216.
Fries, S., & Dietz, F. (2007). Learning in the face of temptations: The case of motivational interference. Journal of Experimental Education, 76, 93-112.
Goetz, T., Frenzel, A. C., Pekrun, R., Hall, N. C., & Lüdtke, O. (2007). Between-and within-domain relations of students' academic emotions. Journal of Educational Psychology, 99(4), 715-733.
Galla, B. M., Amemiya, J., & Wang, M.-T. (2018). Using expectancy-value theory to understand academic self-control. Learning and Instruction, 58, 22-33.
Geiser, C., Keller, B.T., Lockhart, G, Eid, M., Cole, D. A., Koch, T.(2015). Distinguishing state variability from trait change in longitudinal data: The role of measurement (non) invariance in latent state-trait analyses. Behavior Research Methods, 47(1), 172-203.
Gaspard, H., Wigfield, A., Jiang, Y., Nagengast, B., Trautwein, U., Marsh, H. W. (2018). Dimensional comparisons: How academic track students’ achievements are related to their expectancy and value beliefs across multiple domains. Contemporary Educational Psychology, 52, 1-14.
Harris, K. R., Graham, S., Urdan, T., McCormick, C. B., Sinatra, G. M., & Sweller, J. (Eds.). (2012). APA handbooks in psychology. APA educational psychology handbook, Vol. 1. Theories, constructs, and critical issues. American Psychological Association.
Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International; Lawrence Erlbaum Associates, Inc
Jiang, Y., Kim, S., & Bong, M. (2016). Measuring cost in the learning context: Scale development and initial validation. Poster presented at the annual meeting of the American Educational Research Association, Washington, DC.
Jiang, Y., Rosenzweig, E. Q., & Gaspard, H. (2018). An expectancy-value-cost approach in predicting adolescent students' academic motivation and achievement. Contemporary Educational Psychology, 54, 139-152.
Jurich, D. (2005). Attribution of boredom: Attentional factors and boredom proneness. (Unpublished doctoral dissertation). New School University, New York.
Keith, N., Hodapp, V., Schermelleh-Engel, K., & Moosbrugger, H. (2003). Cross-sectional and longitudinal confirmatory factor models for the German Test Anxiety Inventory: a construct validation. Anxiety, Stress, and Coping, 16, 251-270.
Luthans, F., & Youssef, C. M. (2007). Emerging positive organizational behavior. Journal of Management, 33, 321-349.
Linnenbrink, E. A. (2006). Emotion research in education: Theoretical and methodological perspectives on the integration of affect, motivation, and cognition. Educational Psychology Review, 18, 307-314.
Linnenbrink, E. A., & Pintrich, P. R. (2002). Achievement goal theory and affect: An asymmetrical bidirectional model. Educational Psychologist, 37(2), 69-78.
Mega, C., Ronconi, L., & De Beni, R. (2014). What makes a good student? How emotions, self-regulated learning, and motivation contribute to academic achievement. Journal of Educational Psychology, 106(1), 121-131.
Meuleman, B., & Billiet, J. (2009). A Monte Carlo sample size study: How many countries are needed for accurate multilevel SEM? Survey Research Methods, 3, 45-58.
Pekrun, R. (1992). The impact of emotions on learning and achievement: Towards a theory of cognitive/motivational mediators. Applied Psychology: An International Review, 41(4), 359-376.
Pekrun, R. (2000). A social-cognitive, control-value theory of achievement emotions. In J. Heckhausen (Ed.), Motivational psychology of human development (pp. 143-163). Oxford, England: Elsevier.
Pekrun, R. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 18(4), 315-341.
Pekrun, R., & Stephens, E. J. (2010). Achievement emotion: A control-value approach. Social and Personality Psychology Compass, 4, 238-255.
Pekrun, R., Frenzel, A. C., Goetz, T., & Perry, R. P. (2007). The control-value theory of achievement emotions: An integrative approach to emotion in education. In P. A. Schutz & R. Pekrun (Eds.), Emotion in education. San Diego, CA: Academic.
Pekrun, R., Goetz, T., Daniels, L. M., Stupnisky, R. H., & Perry, R. P. (2010). Boredom in achievement settings: Exploring control–value antecedents and performance outcomes of a neglected emotion. Journal of Educational Psychology, 102(3), 531-549.
Pekrun, R., Goetz, T., Frenzel, A. C., Barchfeld, P., & Perry, R. P. (2011). Measuring emotions in students’ learning and performance: The achievement emotions questionnaire (AEQ). Contemporary Educational Psychology, 36, 36-48.
Pekrun, R., & Linnenbrink-Garcia, L. (2012). Academic emotions and student engagement. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 259-282). New York, NY: Springer Science + Business Media.
Pekrun, R., Goetz, T., Titz, W., & Perry, R. P. (2002). Academic emotions in students’ self-regulated learning and achievement: A program of qualitative and quantitative research. Educational Psychologist, 37, 91-105.
Pintrich, P. R. (1989). The dynamic interplay of student motivation and cognition in the college classroom. In C. Ames, & M. Maehr (Eds.), Advances in motivation and achievement: Motivation enhancing environments (Vol.6, pp.117-160).Greenwich, CT: JAI Press.
Putnick, D. L., & Bornstein, M. H. (2016). Measurement invariance conventions and reporting: The state of the art and future directions for psychological research. Developmental Review, 41, 71-90.
Pease, C. R., & Lewis, G. J. (2015). Personality links to anger: Evidence for trait interaction and differentiation across expression style. Personality and Individual Differences, 74, 159-164.
Robinson, K. A., Lee, Y.-k., Bovee, E. A., Perez, T., Walton, S. P., Briedis, D., & Linnenbrink-Garcia, L. (2019). Motivation in transition: Development and roles of expectancy, task values, and costs in early college engineering. Journal of Educational Psychology, 111(6), 1081-1102.
Robinson, M. D., & Clore, G. L. (2002). Belief and feeling: Evidence for an accessibility model of emotional self-report. Psychological Bulletin, 128, 934-960.
Seligman, M. E. P., & Csikszentmihalyi, M. (2000). Positive psychology: An introduction. American Psychologist, 55(1), 5-14.
Steyer, R. (1987). Konsistenz und Spezifität: Definition zweier zentraler Begriffe der Differentiellen Psychologie und ein einfaches Modell zu ihrer Identifikation. Zeitschrift für Differentielle und Diagnostische Psychologie, 8, 245-258.
Steyer, R., Ferring, D., & Schmitt, M. J. (1992). States and traits in psychological assessment. European Journal of Psychological Assessment, 8(2), 79-98.
Steyer, R., Geiser, C., & Fiege, C. (2012). Latent state-trait models. In H. Cooper, P. M. Camic, D. L. Long, A. T. Panter, D. Rindskopf, & K. J. Sher (Eds.), APA handbook of research methods in psychology, Vol. 3. Data analysis and research publication (pp. 291-308). Washington, DC: American Psychological Association.
Steyer, R., Schmitt, M., & Eid, M. (1999). Latent state-trait theory and research in personality and individual differences. European Journal of Personality, 13(5), 389-408.
Schraw, G., & Lehman, S. (2001). Situational interest: A review of the literature and directions for future research. Education Psychology Review, 13(1), 23-52.
Shin, H. (2018). The role of friends in help-seeking tendencies during early adolescence: Do classroom goal structures moderate selection and influence of friends? Contemporary Educational Psychology, 53, 135-145.
Tracy, J. L., & Robins, R. W. (2007). The nature of pride. In J. L. Tracy, R. W. Robins, & J. P. Tangney (Eds.), The self-conscious emotions: Theory and research (pp. 263-282). New York, NY: Guilford Press.
Urdan, T., & Midgley, C. (2001). Academic self-handicapping: What we know, what more there is to learn. Education Psychology Review, 13, 115-138.
Wigfield, A. & Eccles, J. S. (2000). Expectancy-value theory of achievement motivation. Contemporary Educational Psychology, 25, 68-81.
Wigfield, A., & Eccles, J. S. (2002). The development of competence beliefs, expectancies for success, and achievement values from childhood through adolescence. In A. Wigfield & J. S. Eccles (Eds.), Development of achievement motivation (pp. 91-120). New York, NY: Academic Press
Ziegler, M., Ehrlenspiel, F., & Brand, R. (2009). Latent state-trait theory: An application in sport psychology. Psychology of Sport and Exercise, 10, 344-349.