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科目名 Advanced Seminar 4  Science and Society
担当教員 Kramer, Brandon
授業の目的、または到達目標 To introduce and explore the theories and techniques which support all findings in the social sciences. Students will learn about basic methods of data analysis, and how to critically look at results and “facts” presented in current media and news events.
* can perform and explain the core procedures underlying data analysis within the social sciences
* can critically interpret data presented in current topics and news events
* can create a data collection instrument, and analyze the data collected from it
授業の概要 This course will cover the basic procedures for data analysis in the social sciences. Some elementary techniques and concepts will be introduced, with ample time for practice and implementation using real data. While this knowledge is developing, students will practice critical interpretation of data presented in current topics and news events. Finally, students will be able to create their own instrument and collect original data, which they will analyze and present.
科目群/ベンチマーク Advanced レベル必修ENG2840（716生以降）
授業の形態 Group and class discussions, lectures, online coursework, presentations, and reflection papers.
時間割   概要 宿題(予習・復習等)
1
  • Introduction: Why Study Statistics?
  • TBA (To Be Announced) A detailed syllabus will be provided in class
2
  • Percentages, Proportions, and Ratios
  • TBA
3
  • Gathering Data: Sampling
  • TBA
4
  • Gathering Data: Experimental Design
  • TBA
5
  • Describing Distributions with Numbers
  • TBA
6
  • Normal Distribution
  • TBA
7
  • Scatterplots and Correlation
  • TBA
8
  • Simple Regression
  • TBA
9
  • Interpreting Regression
  • TBA
10
  • Hypothesis Testing for One Sample
  • TBA
11
  • Hypothesis Testing for Two Samples
  • TBA
12
  • Hypothesis Testing for Categorical Variables
  • TBA
13
  • Catch-up and Review
  • TBA
14
  • Presentations
  • TBA
15
  • Presentations
  • TBA
準備学習 Class will be conducted assuming that all students have previously worked with the material. Students must do the assigned modules, tasks, and readings before class, and prepare for weekly discussions. Readings and homework must be completed before class. Reflection papers should be based on recent course content and must be completed alone. Out-of-class assignments should take at least 2 to 3 hours for every hour in class, so students should manage their time accordingly.
教科書 Rogers, L., & Willoughby, D. (2013). Numbers: Data and statistics for the non-specialist. Glasgow: Collins EAP. ISBN: 9780007507153
Free sources of online learning will also be utilized, and additional notes and activities will be provided. Please be sure to check the course Moodle page often (the link will be provided in the first class).
参考文献 Additional learning resources will be used in this class and provided for students to watch or read and try to understand. Students will be expected to be proactive if they are unable to comprehend these resources, and ask for help from fellow students or the teacher to understand the material.
成績評価方法・基準 Evaluation is based on course work, participation, and papers: - Class work & quizzes – 40% (includes in-class work, homework, presentations, quizzes, discussions);
Research presentation(s) – 20% & Written summary & reflection of research – 10%;
Reflection & response papers – 30%.
関連リンク http://www.worldvaluessurvey.org/wvs.jsp
備考 A detailed syllabus will be provided in the first class. Any changes to the syllabus will be announced at this time.

時間割

担当教員 開講学期 開講曜日 開講時限 履修クラス 単位数
Kramer, Brandon 秋学期 金曜日 １時限 2