学部・大学院区分
Undergraduate / Graduate		人文・博前
時間割コード
Registration Code		2022905
科目区分
Course Category		専門科目
Specialized Courses
カリキュラム年度
Curriculum
2022年度入学以降
教育プログラム・分野・専門等
Major
G30 LCS
科目名　【日本語】
Course Title		リサーチメソッド（2022入学～）
科目名　【英語】
Course Title		Research Methods (Enrolled in/after 2022)
コースナンバリングコード
Course Numbering Code		HUMLG5105E
担当教員　【日本語】
Instructor		松下　千雅子 ○
担当教員　【英語】
Instructor		MATSUSHITA Chikako ○
開講期・開講時間帯
Term / Day / Period		秋集中 その他 その他
Intensive(Fall) Other Other
隔年開講
Biennial class
単位数
Credits		2
対象学年
Year
他学部生の受講の可否
Propriety of Other department student's attendance
授業形態
Course style		演習
Seminar
教職【入学年度】
Teacher's License
教職【教科】
Teacher's License
学芸員資格（該当の有無）
Curator's Qualifications
講義題目
Title


授業の目的　【日本語】
Goals of the Course(JPN)
授業の目的　【英語】
Goals of the Course
This course is designed to provide students with an overview of quantitative research. Students will practically learn basic skills of collecting and analyzing quantitative data.
到達目標　【日本語】
Objectives of the Course(JPN)
授業の内容や構成
Course Content / Plan
What you will learn in this course includes:
1) Developing research questions
2) Developing hypotheses
3) Selecting measurements
4) Making a quesstionaire
5) Collecting data
6) Analyzing data
7) Writing a paper
履修条件・関連する科目
Course Prerequisites and Related Courses
English-Japanese bilingual environment.
Undergraduate students who seek to attend this course need to enroll.
Required to work with other members of the class.
Need to be familiar with statistical software (R, SPSS, etc).
成績評価の方法と基準
Course Evaluation Method and Criteria
Students will be evaluated according to their participation (30%), mid-term paper (30%) and final paper (40%). A score of 60 or more considered acceptable.
教科書・テキスト
Textbook
Online materials.
参考書
Reference Book
Introduce during the class.
課外学習等（授業時間外学習の指示）
Study Load(Self-directed Learning Outside Course Hours)
Students are required to read assigned texts and prepare for the discussion.
Students also need to go through the entire process of quantitative data collection and analysis.
履修取り下げ制度（利用の有無）学部のみ
Course withdrawal
備考
Others
授業開講形態等
Lecture format, etc.
Offline class meeting. Depending on the covid situation, however, it will be changed. Please check NUCT. Class schedule will be shown on NUCT.