人文科学研究科Graduate School of Humanities
LIN700B3（言語学 / Linguistics 700）言語学特殊演習 Ⅰ BSeminar: Linguistics I B
ブライアン・ウィスナー
授業コードなどClass code etc
| 学部・研究科Faculty/Graduate school | 人文科学研究科Graduate School of Humanities |
| 添付ファイル名Attached documents | |
| 年度Year | 2023 |
| 授業コードClass code | X0253 |
| 旧授業コードPrevious Class code | |
| 旧科目名Previous Class title | |
| 開講時期Term | 秋学期授業/Fall |
| 曜日・時限Day/Period | 金4/Fri.4 |
| 科目種別Class Type | |
| キャンパスCampus | 市ヶ谷 |
| 教室名称Classroom name | 研究室（Web掲示板のオフィスアワーで場所を確認すること） |
| 配当年次Grade | 院人英・博士後期課程・必修科目 |
| 単位数Credit(s) | 2 |
| 備考（履修条件等）Notes | |
| 実務経験のある教員による授業科目Class taught by instructors with practical experience | |
| カテゴリーCategory |
英文学専攻 （博士後期課程） |
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Outline (in English)
This course examines the role of advanced research methods and statistics in applied linguistics.
Upon successful completion of this course, students are expected to be able to do the following: (a) define and describe quantitative research methods commonly used in applied linguistics; (b) perform statistical analyses using Excel, SPSS, JASP, R, Winsteps, and Facets; (c) input data and apply an appropriate method of analysis; and (d) report the results of statistical analyses in APA format.
Reading assignments will be given for each class. Students should complete the reading assignments before each class and be prepared to discuss the content of the readings.
Final grades will be calculated based on the following:
Presentations: 50%
Data Analysis Assignment: 50%
授業で使用する言語Default language used in class
英語 / English
授業の概要と目的（何を学ぶか）Outline and objectives
This course examines the role of advanced research methods and statistics in applied linguistics.
＜講義題目＞
応用言語学の研究に必要な方法論の修得 Research Methods in Applied Linguistics
到達目標Goal
Upon successful completion of this course, students are expected to be able to do the following: (a) define and describe quantitative research methods commonly used in applied linguistics; (b) perform statistical analyses using Excel, SPSS, JASP, R, Winsteps, and Facets; (c) input data and apply an appropriate method of analysis; and (d) report the results of statistical analyses in APA format.
この授業を履修することで学部等のディプロマポリシーに示されたどの能力を習得することができるか（該当授業科目と学位授与方針に明示された学習成果との関連）Which item of the diploma policy will be obtained by taking this class?
ディプロマポリシーのうち、「DP1」「DP2」「DP3」「DP4」に関連
授業で使用する言語Default language used in class
英語 / English
授業の進め方と方法Method(s)（学期の途中で変更になる場合には、別途提示します。 /If the Method(s) is changed, we will announce the details of any changes. ）
Most classes will consist of group discussions and lectures on research methods and statistical analyses. Time will be allotted for students to perform statistical analyses in the computer lab. The course content and examples presented in class will focus on general topics and second language research. Feedback will be given after each presentation.
アクティブラーニング（グループディスカッション、ディベート等）の実施Active learning in class (Group discussion, Debate.etc.)
あり / Yes
フィールドワーク（学外での実習等）の実施Fieldwork in class
なし / No
授業計画Schedule
授業形態/methods of teaching：対面/face to face
※各回の授業形態は予定です。教員の指示に従ってください。
第1回[オンライン/online]：Research methods in applied linguistics
Introduction to research methods and the concepts covered in this course
第2回[対面/face to face]：Fundamental measurement
Principles of measuring constructs
第3回[対面/face to face]：Construct modeling
Construct definition and instrument development
第4回[対面/face to face]：Data screening
Screening data prior to conducting analyses
第5回[対面/face to face]：Rasch analyses
Analyzing dichotomous data
第6回[対面/face to face]：Rasch rating scale analyses
Analyzing rating scale data
第7回[対面/face to face]：Multifaceted Rasch measurement
Conducting and interpreting multifaceted Rasch analyses
第8回[対面/face to face]：Correlation and univariate analyses
Conducting and interpreting correlation and univariate analyses
第9回[対面/face to face]：Multiple regression
Conducting and interpreting multiple regression
第10回[オンライン/online]：Multivariate analysis of variance and covariance
Conducting and interpreting multivariate analyses
第11回[オンライン/online]：Principal components and factor analysis
Background of principal components and factor analysis
第12回[オンライン/online]：Applying factor analysis
Factor analyzing data
第13回[オンライン/online]：Structural equation modeling
Background of structural equation modeling
第14回[オンライン/online]：Applying structural equation modeling
Conducting and interpreting structural equation modeling
授業時間外の学習（準備学習・復習・宿題等）Work to be done outside of class (preparation, etc.)
本授業の準備学習・復習時間は、各2時間を標準とします。
Reading assignments will be given for each class. Students should complete the reading assignments before each class and be prepared to discuss the content of the readings.
テキスト（教科書）Textbooks
There is no required textbook for this course.
参考書References
Jenifer Larson-Hall. (2016). A guide to doing statistics in second language research using SPSS and R (2nd ed.). Routledge.
Andy Field. (2013). Discovering statistics using SPSS (4th ed.). Sage.
Andy Field et al. (2012). Discovering statistics using R. Sage.
Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th edition). Pearson.
Fred L. Perry, Jr. (2011). Research in applied linguistics: Becoming a discerning consumer. Routledge.
Publication Manual of the American Psychological Association (APA Manual)
成績評価の方法と基準Grading criteria
Presentations: 50%
Data Analysis Assignment: 50%
Students will be evaluated based on in-class presentations related to the content covered in class and their performance on a data analysis assignment. A highly evaluated presentation shows synthesis and clear explanation of the relevant material. The data analysis assignment will be assessed on the accuracy and thoroughness of the statistical results and the format in which they are presented. Details will be given in class.
学生の意見等からの気づきChanges following student comments
Not applicable.
担当教員の専門分野等
＜専門領域＞ 第二言語習得・英語教育学
＜研究テーマ＞ 第二言語習得におけるメタ言語的知識の役割、言語テストの妥当性
＜主要研究業績＞
・『MY WAY: English Communication I』 共著 2013年3月 三省堂
・『MY WAY: English Expression I』 共著 2013年3月 三省堂
・『英語教育学の実証的研究法入門』 共著 2012年8月 研究社