Teacher Emotion Management in the Classroom: Appraisal

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Teacher Emotion Management in the Classroom: Appraisal TEACHER EMOTION MANAGEMENT IN THE CLASSROOM: APPRAISAL, REGULATION, AND COPING DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in the Graduate School of The Ohio State University By Mei-Lin Chang, M.A. The Ohio State University 2009 Dissertation Committee: Approved by Dr. Eric Anderman, Advisor __________________________ Dr. Heather Davis, Co-Advisor Adviser Dr. Anita Woolfolk Hoy __________________________ Dr. Richard Lomax Co-adviser College of Education and Human Ecology Copyright by Mei-Lin Chang 2009 Abstract Compared with other professions, teachers in P-12 schools seem to experience the highest level of emotional exhaustion. The purpose of this study was to examine teacher emotions within the context of teachers’ appraisals and the ways they regulate and cope with their emotions. This was done by exploring novice teachers’ appraisals of classroom disruptive behavior situations and by investigating the adaptive coping and emotion regulation strategies that ease teacher burnout. The underlying framework of this study is appraisal theory. Appraisal theory stresses a cognitive view of emotions: emotions are elicited by appraisals (evaluations/ judgments) of events and situations (Smith & Lazarus, 1990). Thus, judgments teachers make about the behaviors in the classroom underlie the emotions that are aroused. While appraisals are central to teachers’ emotional experiences in the classroom, emotion regulation and coping are considered as integral features of emotional process dynamics as well (Lazarus, 2002). This study was conducted by an on-line survey which collected data from 555 novice teachers in Ohio. In order to examine the antecedents of teacher emotions and the coping strategies teacher employed, the survey includes two parts: general ii and context-specific measures. General measures were developed to capture teacher’s sense of efficacy, emotion regulation patterns, and teacher burnout. In the context-specific measure, the participants self-identified and described a recent classroom incident in which they felt emotionally challenged. After describing the incident, participants responded to the survey items to identify the intensity of the discrete emotions, their emotional appraisals and coping strategies to the incident. Data were analyzed by using structural equation modeling (SEM, a method to build a model in explaining and exploring relations between variables). Two models were submitted to LISREL. The fit indices indicate an acceptable fit for both models (model 1: χ2=1195.26, df =678, RMSEA=0.04, SRMR=0.06, GFI=0.90, AGFI= 0.88 and CFI=0.96 and model 2: χ2=1367.06, df =693, RMSEA=0.04, SRMR=0.07, GFI=0.89, AGFI= 0.87 and CFI=0.96). Both models were able to explain how those antecedent judgments lead to teachers’ emotion and how the consequent emotions contribute to their feelings of burnout. Model two allows the researcher to examine the mediating effects of coping between teacher emotions and teacher burnout. Overall, model two explained 39% of the variance in unpleasant emotions, 41% in burnout, 13% in emotion-focused coping, and 9% in problem-focused coping reported by teachers. This study reveals a strong correlation between the appraisals teachers made iii about the incident and the intensity of emotions. In addition, the more intense the discrete emotions (e.g. anger, frustration, disappointment, and challenge) teachers felt from the one episode, the more likely teachers would eventually feel burned out. Emotion regulation by suppression was found to contributing to teacher burnout. Lastly, teacher efficacy and problem-focused coping strategies were found to be effective in easing burnout. This study adds new findings to the teacher burnout literature through examining teachers’ appraisals and emotion regulation processes in the classroom context. This study also addresses the substantial need for empirically-driven attention to emotion management through the judgments teachers make in their classrooms. The findings will help teachers become resilient to the potential stress and emotional exhaustion of the teaching profession. iv Dedicated to my family: my father, Chen-Liang; my mother, Chin-Chu my husband, Yung-Li (Luke); and my son, William v Acknowledgements I am very grateful for the support, encouragement, inspiration, wisdom, guidance, and friendship from many people around me during the process of completing my dissertation. I would like to start my thanks to my dearly advisor, Dr. Heather A. Davis. Words can hardly describe how much I feel I am blessed to have Dr. Davis as my advisor. Without her guidance and encouragement, I could not have accomplished many things throughout the four years. I cherish every step that she had carried me through this doctoral study: from finding a funding to support my doctoral study, developing a survey, analyzing the data, publishing my work in journal, completing my dissertation, to building my career. In addition, her expertise in emotion regulation and teacher-student relationships guided me through the inquiry of this project. She is not only an adviser for me, but also a great mentor, a dear friend, and a scholarly model. She made me believe what I could accomplish and succeed in this career. She gave me every kind of training I need to become a researcher. She will always be my role model in many ways: her scholarship, her genuine caring and rigorous expectations to her students, her critical and in-depth feedback for students’ work, and her humor. Because of her, I am who I am today as an educational researcher and a teacher educator. My heartfelt gratitude also goes to Dr. Eric Anderman who has become my advisor during my fourth year. It was with his kindly and warmly support that I was able to get through the final and critical stage of my doctoral study. Working with him, I was able to develop a critical eye in examining my data and my analysis. vi I am also very grateful for his advice and help with publication, teaching, and job search. I would like to express my gratitude to Dr. Anita Woolfolk Hoy. I have tremendous respect of her accomplishments in the field of educational psychology. She is the kindest and humblest scholar I have ever met. Her warm demeanor to her students will always be my example. I can’t describe how fortunate I think I am to be one of her students. I greatly appreciate her thoughtful comments and feedback for this project. It was in many of her seminars that I was exposed the important scholarly work in teacher efficacy and teacher motivation. I also am very appreciative of the tremendous support from Dr. Richard Lomax. I can’t thank him enough for his mentoring during my doctoral study. His classes in quantitative methods provided me with a solid foundation on which this project was launched. He also has significant contribution to this project with his expertise in Structural Equation Modeling. Through his mentoring, I was able to carry out the data analysis successfully. In addition, his patience with my every little trivial question helped me to build my confidence in completing this project. There are many faculty in the program that I would like to extend my gratitude. I am very thankful for Dr. Robert Hite’s comments when I was developing this study during my candidacy; Dr. O’Connell’s expertise and advices in factor analysis when I was developing my instruments; Dr. Tuckman’s caring through these four years; and Dr. Lynley Anderman’s advice with publication. There are people who helped me to collect the data that I owe my thanks to: Dr. Loadman and Raeal Moore in the Teacher Quality Partnership project. Mr. Bryan Yontz from Wittenberg University, Dr. Joy Cowdery from Muskingum College, Ms. Pamela Nickell from Wilmington College. Without their help, I would not be able to vii recruit pre-service teachers for my pilot study and in-service teachers for my dissertation study. I am incredibly thankful for my dear colleagues in the program. Without their inspirations and help, I could not have completed my doctoral study. Carey Andrezjewski, Ryan Poirier, and Evan Straub were my important models in this doctoral study. They have always been there to provide any help whenever I need it. They are also like my academic sisters/brothers in holding my hands through this process from listening to my ideas, helping me refining my ideas, to reviewing my documents. I am very grateful for my peers, Sarah Kozel Silverman, Melissa Newberry, Mike Yough, Paige Bruening, Tony Durr and Kimberly Hughes who offered their invaluable time and advice for reviewing my instruments and documents. I would like to give special thanks to Sarah Kozel Silverman who has inspired me intellectually during my doctoral study. I was very fortunate to experience my doctoral education synchronically with her. I am also thankful for Heather Dawson and DeLeon Gray who have also supported me on this path. I also want to thank my Taiwanese and Chinese fellows who gave me endless support: I-Chia Chou, WeiJia Ren, Jian Li, Sophia Lee, Carrie Lin, Ian Wei, Tony, and MengPei. My greatest gratitude goes to I-Chia, who has supported me from the very beginning of my doctoral study. She has helped my writing with her expertise in literacy and she has also helped take care of my son during my last phase of writing. My deepest gratitude goes to my family: my mother, my strength, Chin-Chu; my father, my stronghold, Cheng-Liang; my sisters, my shelter, Mei-Chuan, Bi-Yu; my brother, my shoulder, Yu-Zhen; and my encourager and helper, my father- and mother-in-law, Taih-Siung Liang, and Yuan-Hsiang Tso. Without the love, viii support, and prayer from you all, I could not have completed this project. I also owe my special thanks to my mother and my father-in-law who sacrificed their time and energy to take care of me and my son, William during the final stage of the completion of the dissertation.
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