教學大綱 Syllabus

科目名稱：實驗語言學

Course Name: Experimental Linguistics
  • 學年學期：112-2 Spring Semester, 2024
  • 科目代碼：555744001 Course No.555744001

修別：選

Type of Credit: Elective

3.0

學分數

Credit(s)

20

預收人數

Number of Students

課程資料Course Details
  • 開課單位：語言碩一、語言博一、語言碩二、語言博二 Course Department:Institute of Linguistics/G/1&2
  • 授課老師：賴瑶鍈 Instructor: LAI YAO-YING
  • 先修科目：無Prerequisite(N/A)
  • 上課時間：三D56 Session: wed13-16

課程簡介Course Description

This course aims to guide students to conduct experimental research in linguistics grounded on theoretical frameworks. Experimental design, methodologies, and ethics in human language processing research will be discussed. We will go through the steps of experimentation and implementation, introduce the methods of data analysis and visualization using R, discuss how to interpret and report results rooted in theories and models of language processing, and practice writing up an experimental report. We will also discuss current trends and debates in the field. Special attention will be paid to integrating linguistic theories with experimental investigation, and how the two inform each other. The course has a strong practical component; each student will develop own project on language processing using experimental research method based on personal interest.  

核心能力分析圖 Core Competence Analysis Chart

能力項目說明

    課程目標與學習成效Course Objectives & Learning Outcomes

    In this course, the students will learn:                     

    • Rationales of theoretically-grounded experimentation, scientific methods, and the hypothesis-testing approach
    • Principles and ethics of human subject research
    • Methodologies of conducting experiments in linguistics
    • Methods of data analysis, result interpretation and reporting with logical reasoning
    • Practical skills for writing up an experimental article
    • The interplay and collaboration between linguistics, cognitive psychology, and neuroscience.

                          

    Through this course, the students will be able to:

    • Understand the importance of theoretically-driven experimentation in linguistics
    • Be familiar with the ethics of academic research and human subject testing
    • Design and conduct experiments for scientific investigation in the field
    • Analyze data with visualization and evaluate the results critically
    • Write up an experimental work in the format of journal articles
    • Apply logical reasoning and independent critical thinking from a multidimensional perspective, and
    • Obtain skills and experience of academic discussions and presentations

    每周課程進度與作業要求 Course Schedule & Requirements

    教學週次Course Week 彈性補充教學週次Flexible Supplemental Instruction Week 彈性補充教學類別Flexible Supplemental Instruction Type
    週次
    Week
    課程主題
    Topic
    課程內容與指定閱讀
    Content and Reading Assignment
    教學活動與作業
    Teaching Activities and Homework
    學習投入時間
    Student workload expectation
    In-class Hours
    Outside-of-class Hours
    1
    (2/21)
    Overview
    Course Introduction
    & Project discussion
    Lecture
    & Meetings
    3
    3
    2
    (2/28)
    		 國定假日(二二八紀念日)    
    3
    (3/06)
    Basic principles
    Scientific Methods
    Logic of hypothesis-testing:
    from linguistic theories to processing models
    Lecture, Discussion,
    & Reading
    3
    5
    4
    (3/13)
    Methodology
    Paradigms & Techniques:
    Pros and Cons
    Lecture, Discussion,
    & Reading
    3
    5
    5
    (3/20)
    Methodology
    Experimental designs
    & Rationales
    Discussion
    [Project proposal]
    3
    5
    6
    (3/27)
    		 Methodology
    Variables, Norming,
    Confounds and pitfalls
    Presentation
    & Discussion
    [Proposal revision]
    		 3 5
    7
    (4/03)
    		 校際活動週停課    
    8
    (4/10)
    		 Research ethics
    Ethics of human subjects research
    IRB protocols
    Lecture, Discussion,
    & Reading
    		 3 5
    9
    (4/17)
    Implementation
    Logistics of data acquisition:
    Procedures & practical skills
    Lecture
    & Discussion
    3
    5
    10
    (4/24)
    Implementation
    Experiment implementation
    Data acquisition
    Group Discussion
    3
    6
    11
    (5/01)
    Progress report #1
    Progress report #1
    & Discussion
    R statistical software: orientation
    Presentation
    & Discussion
    [Progress report #1]
    3
    		 6
    12
    (5/08)
    Data analysis
    using R
    R: Data screening, wrangling & preprocessing
    Lecture
    & Discussion
    3
    6
    13
    (5/15)
    Data analysis
    using R
    R: Statistical analysis I
    (Descriptive stats,
    T-test, ANOVA)
    Lecture, Discussion, and Reading
    3
    6
    14
    (5/22)
    Data analysis
    using R
    R: Statistical analysis II
    (Linear mixed-effects model)
    Data Visualization
    Lecture, Discussion,
    & Reading
    3
    6
    15
    (5/29)
    Progress report #2
    Progress report #2
    & Discussion
    Discussion
    [Progress report #2]
    3
    6
    16
    (6/05)
    Results
    Result interpretation & presentation
    Writing up an experimental report
    Lecture, Discussion,
    & Reading
    3
    6
    17
    (6/12)
    Project wrap-up
    Term project presentation
    Lecture
    & Discussion
    3
    6
    18
    (6/19)
    		 Final week Term paper submission
    Written report submission
    3
    6

     

     

     

    授課方式Teaching Approach

    35%

    講述 Lecture

    30%

    討論 Discussion

    0%

    小組活動 Group activity

    0%

    數位學習 E-learning

    35%

    其他： Others: 實作、數據收集與分析

    評量工具與策略、評分標準成效Evaluation Criteria

    Experimental proposal: 10%

    Progress reports (x2): 20%

    Data analysis assignment: 10%

    Paper summary: 10%

    Term project final report: 50% 

     

    *Academic Integrity:

    All students must remain truthful in presentations, papers, and reports throughout the course. Plagiarism, lying, falsification, fabrication, improper use of electronic devices, taking others' ideas without permission, or other dishonesty will not be tolerated and will result in penalties according to the university policy.

    指定/參考書目Textbook & References

     
    The readings and references are subject to change, to be adjusted according to the needs of the enrolled students and the course schedule.
     
    • Abbuhl et al. (2013) Experimental research design. In Research methods in linguistics.
    • Arunachalam, S. (2013). Experimental methods for linguists. Language and Linguistics Compass, 7(4), 221-232.
    • Beavers, J., & Sells, P. (2014). Constructing and supporting a linguistic analysis. Research methods in linguistics, 397.
    • Black, M. (2018). Critical thinking: An introduction to logic and scientific method. Pickle Partners Publishing.
    • Byrd, D., & Mintz, T. H. (2010). Scientific Method and Experimental Design. In Discovering speech, words, and mind. John Wiley & Sons.
    • Culicover, P. W., & Jackendoff, R. (2010). Quantitative methods alone are not enough: Response to Gibson and Fedorenko. Trends in Cognitive Sciences, 14(6), 234-235.
    • Cummins, C., & Katsos, N. (Eds.). (2019). The Oxford Handbook of Experimental Semantics and Pragmatics. Oxford University Press.
    • Fiedler, K., & Schwarz, N. (2016). Questionable research practices revisited. Social Psychological and Personality Science, 7(1), 45-52.
    • Gibbs, R. (2019). Experimental pragmatics. In Huang, Y. (Ed.) Oxford Handbook of Pragmatics. New York, NY: Oxford University Press, 310–325.
    • Gibbs Jr, R. W., & Colston, H. L. (2020). Pragmatics Always Matters: An Expanded Vision of Experimental Pragmatics. Frontiers in Psychology, 11.
    • Gibson, E., & Fedorenko, E. (2013). The need for quantitative methods in syntax and semantics research. Language and Cognitive Processes, 28(1-2), 88-124.
    • Gibson, E., & Fedorenko, E. (2010). Weak quantitative standards in linguistics research. Trends in cognitive sciences, 14(6), 233-234.
    • Goodman, S. (2008, July). A dirty dozen: twelve p-value misconceptions. In Seminars in hematology (Vol. 45, No. 3, pp. 135-140). WB Saunders.
    • Gries (2013) Basic significance testing. In Research methods in linguistics.
    • Grieve, J. (2021). Observation, experimentation, and replication in linguistics. Linguistics, 59(5), 1343-1356.
    • Noveck, I. A., & Reboul, A. (2008). Experimental pragmatics: A Gricean turn in the study of language. Trends in cognitive sciences, 12(11), 425-431.
    • Piñango, M. (2023). What Experimentation Reveals about Linguistic Meaning and its Cognitive Structure. OUP.
    • Schütze, C. T., & Sprouse, J. (2014). Judgment data. In Research Methods in Linguistics, ed. Robert J. Podesva and Devyani Sharma, 27-50.
    • Vasishth, S. (2023). Some right ways to analyze (psycho) linguistic data. Annual Review of Linguistics, 9, 273-291.
    • Zhou, X., Ye, Z., Cheung, H., & Chen, H. C. (2009). Processing the Chinese language: An introduction. Language and Cognitive Processes, 24(7-8), 929-946.
     

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