Faculty/Graduate school Department of Global and Interdisciplinary Studies
Attached documents
Year 2023
Class code A6240
Previous Class code
Previous Class title (Social Research Methods)
Term 春学期授業/Spring
Day/Period 木2/Thu.2
Class Type
Campus 市ヶ谷 / Ichigaya
Classroom name 市富士‐F304
Grade 2~4
Credit(s) 2
Open Program
Open Program (Notes)
Global Open Program
Interdepartmental class taking system for Academic Achievers
Interdepartmental class taking system for Academic Achievers (Notes) 制度ウェブサイトの3.科目別の注意事項(1)GIS主催科目の履修上の注意を参照すること。
Class taught by instructors with practical experience
Urban Design CP
Diversity CP
Learning for the Future CP
Carbon Neutral CP
Chiyoda Campus Consortium
Duplicate Subjects Taken Under Previous Class Title ×
Category (commenced 2024 onwards)
Category (commenced 2020-2023) 200-level Intermediate Courses(中級)
Category (commenced 2016-2019)

【授業の概要と目的(何を学ぶか) / Outline and objectives】
The goal of this course is to introduce the students to various quantitative research methods used in the social sciences. When making important decisions, be it choosing a strategy to increase the sales of a product, implementing an intervention program to boost people’s well-being, or selecting a school program to increase students’ learning, people can rely on their intuition and experience, or they can base their decisions on facts: data. In this course, students will develop skills to obtain valid and reliable data through experimental and survey methods. The course will also cover topics related to research ethics, some basic statistics, and APA-style writing.

【到達目標 / Goal】
This course provides an overview of the 'how's and 'why's of quantitative research in social sciences, and it covers such topics as design, ethics, and APA-style writing and such strategies as field experiments and surveys. Students will develop the ability to design, conduct, evaluate, and report empirical studies. By developing hypotheses and critically assessing information, students will improve on their critical thinking skills.

【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?】
Will be able to gain “DP 1”, “DP 2”, and “DP 4”.

【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. )
The course consists of lectures, in which general ideas and methods of research will be presented, and hands-on applications of the methods, in which student's research projects will be planned and presented. Although some of the class time will be set aside for planning students’ research, the majority of it will be done as assignments to be completed outside class. Feedback for research will be given during class time. Comments for papers will be given via the Learning Management System.

【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

回 / No. 各回の授業形態予定 / methods of teachingテーマ / Theme 内容 / Contents
1 オンライン/onlineIntroduction What is research? Why should we care?
2 対面/face to faceThe Fundamentals of Research How do we define variables? How do we measure them? What is good research? How do I know if I can trust the findings?
3 対面/face to faceCommon Experimental Designs Evaluating causal claims with experiments: random assignment and control
4 対面/face to faceUnderstanding Research Paper Understanding the structure of a research paper
5 対面/face to faceExperimental Research I Presentation of the research question, hypotheses, and theories
6 対面/face to faceExperimental Research II Identifying the various threats to internal validity
7 対面/face to faceData Analyses I Understanding the basics of inferential statistics
8 対面/face to faceCorrelational Research I How are the two variables associated? How can we write clear questions?
9 対面/face to faceCorrelational Research II Presentation of the research question, hypotheses, and theories
10 対面/face to faceCorrelational Research III Creating a questionnaire
11 対面/face to faceSampling Issues and Validities How generalizable are my findings?
12 対面/face to faceData Analyses II Computing reliabilities and correlations
13 対面/face to faceData Analyses III Data analysis workshop using a statistical software
14 対面/face to faceStudents Poster Presentations Poster presentations of group research

【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.)】
Students will have to complete the assigned homework on time to successfully complete the class. They will be asked to do the readings, create research materials, collect data, etc. outside the class. Please bear in mind that the course will require that students spend a considerable amount of time outside class (at least 2 hours every week, sometimes more). Most work will be done in small groups, suggesting that students need to be flexible in finding time to meet other students during the week. Preparatory study and review time for this class are 2 hours each.

【テキスト(教科書) / Textbooks】
No textbooks required.

【参考書 / References】
Morling, B. (2021). Research methods in psychology: Evaluating a world of information (4th ed.). New York, NY: W.W. Norton & Company.

Hacker, D. & Sommers, N. (2020). A pocket style manual. (8th ed.). APA Version.

The reference books will be available in the library and the GIS Reference Room for those who wish to learn about each topic in more detail. Handouts and reading materials are on the course website.

【成績評価の方法と基準 / Grading criteria】
Final grades are based on two research papers (20% and 30%), a poster presentation (20%), and the quality and timeliness of group work done outside class (30%).

【学生の意見等からの気づき / Changes following student comments】
Students in previous years found this course very demanding but rewarding. Some students aimed to accomplish at a higher level while others were somewhat struggling to meet the requirements. I will provide office hours and other consulting time outside the class to meet the need of individual students.

【学生が準備すべき機器他 / Equipment student needs to prepare】
For some weeks, students will be asked to bring laptop computers. Students must get the login information for PyscINFO database from the library.

【その他の重要事項 / Others】
Students who have successfully completed Statistics will be given priority during enrollment.
Students must take and pass this course if they wish to enroll in the Self and Culture seminar. Students who plan to enroll in other seminars in social sciences are also strongly encouraged to take this course.