人文科学研究科Graduate School of Humanities
LIN500B3（言語学 / Linguistics 500）言語科学方法論ＢResearch Methods in Linguistic Sciences 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 | X0238 |
| 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 | 木1/Thu.1 |
| 科目種別Class Type | |
| キャンパスCampus | 市ヶ谷 |
| 教室名称Classroom name | BT1007 |
| 配当年次Grade | 院人英・修士課程・専門科目 |
| 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 （修士課程） |
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Outline (in English)
This course examines the role of research methods and statistics in the linguistic sciences.
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 the linguistic sciences; (b) perform statistical analyses using Excel, JASP, and R; (c) input data and apply an appropriate method of analysis; and (d) report the results of statistical analyses in APA format.
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%; Final 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 research methods and statistics in the linguistic sciences.
＜講義題目＞
言語科学の研究に必要な方法論の修得 Research Methods in the Linguistic Sciences
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 the linguistic sciences; (b) perform statistical analyses using Excel, JASP, and R; (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」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. The course content and examples presented in class will focus on general topics and second language research. This course is conducted in English. 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：オンライン/online
※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 the linguistic sciences
Introduction to why research is conducted and the concepts covered in this course
第2回[オンライン/online]：Variables & levels of measurement
Classification and measurement of variables
第3回[オンライン/online]：Visual descriptive statistics
Creating graphs and plots
第4回[オンライン/online]：Statistical assumptions
Methods of addressing statistical assumptions
第5回[オンライン/online]：Correlation
Background and calculation of Pearson's correlation coefficient
第6回[オンライン/online]：Other methods of correlation
Calculation of Spearman's correlation coefficient
第7回[オンライン/online]：Linear regression
Background and calculation of linear regression
第8回[オンライン/online]：Multiple regression
Calculating and interpreting multiple regression
第9回[オンライン/online]：T-tests and research design
Background of t-tests and calculation of a paired-samples t-test and an independent samples t-test
第10回[オンライン/online]：ANOVA, planned comparisons, and post-hoc tests
Background and calculation of ANOVA
第11回[オンライン/online]：Factorial ANOVA
Background and calculation of factorial ANOVA
第12回[オンライン/online]：Repeated-measures ANOVA
Background and calculation of repeated-measures ANOVA
第13回[オンライン/online]：Factor analysis
Background of factor analysis
第14回[オンライン/online]：Applying factor analysis
Factor analyzing data
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.
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%; Final 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.
その他の重要事項Others
Students should have already taken 言語科学方法論A or an equivalent course.
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