日本語

Course Code etc
Academic Year 2024
College Graduate School of Business
Course Code KN251
Theme・Subtitle Research Methods/Data Analysis
Class Format Face to face (all classes are face-to-face)
Class Format (Supplementary Items)
Campus Lecture
Campus Ikebukuro
Semester Fall Semester2
DayPeriod・Room Mon.5 , Mon.6
ログインして教室を表示する(Log in to view the classrooms.)
Credits 2
Course Number MIB6201
Language English
Class Registration Method Course Code Registration
Assigned Year 配当年次は開講学部のR Guideに掲載している科目表で確認してください。
Prerequisite Regulations
Acceptance of Other Colleges 履修登録システムの『他学部・他研究科履修不許可科目一覧』で確認してください。
Course Cancellation -(履修中止制度なし/ No system for cancellation)
Online Classes Subject to 60-Credit Upper Limit
Relationship with Degree Policy 各授業科目は、学部・研究科の定める学位授与方針(DP)や教育課程編成の方針(CP)に基づき、カリキュラム上に配置されています。詳細はカリキュラム・マップで確認することができます。
Notes

【Course Objectives】

The objectives of the course are: (a) to introduce students to the concepts associated with research method and statistical analyses that are widely adopted in sport and business management research, (b) to provide in-depth understanding of theoretical aspects of selected research methods and statistical analyses

【Course Contents】

Students will learn (a) how to evaluate the appropriateness of the research methodology used in a research study, (b) how to evaluate reliability and validity of the research instrument used in the study, (c) how to assess the clarity and consistency of the results, and (d) understand what statistical methods should be used given the characteristics of data, (e) how to perform data analyses, (f) how to interpret the results, and (g) how to write the results derived from data analyses. The class will be taught through lectures, evaluation of research articles, and demonstration/practice of data analyses.

Japanese Items

【授業計画 / Course Schedule】

1 Introduction of the course/lectures
2 What is science, research, and statistics
3 Concepts associated with data analysis
4 Measurement (levels of measurement, reliability, and validity)
5 Descriptive statistics and Correlation
6 Sampling Techniques
7 Analysis related to group differences between two groups (One-sample, Independent, and Paired T-test)
8 Questionnaire development
9 Analysis related to group differences among three or more groups (ANOVA)
10 Survey Research
11 Analysis related to group differences among three or more groups (ANOVA)
12 Experimental Research
13 Analysis related to relationships between/among variables (Simple and Multiple Regression)
14 Test

【活用される授業方法 / Teaching Methods Used】

板書 /Writing on the Board
スライド(パワーポイント等)の使用 /Slides (PowerPoint, etc.)
上記以外の視聴覚教材の使用 /Audiovisual Materials Other than Those Listed Above
個人発表 /Individual Presentations
グループ発表 /Group Presentations
ディスカッション・ディベート /Discussion/Debate
実技・実習・実験 /Practicum/Experiments/Practical Training
学内の教室外施設の利用 /Use of On-Campus Facilities Outside the Classroom
校外実習・フィールドワーク /Field Work
上記いずれも用いない予定 /None of the above

【授業時間外(予習・復習等)の学修 / Study Required Outside of Class】

Students are expected to read all the required readings to prepare class discussion and presentation.
Students are required to purchase a book on statistical analysis.

【成績評価方法・基準 / Evaluation】

種類 (Kind)割合 (%)基準 (Criteria)
平常点 (In-class Points)100 Data Analyses(30%)
Data Interpretation(30%)
Research Presentation(15%)
Test(25%)
備考 (Notes)

【テキスト / Textbooks】

No著者名 (Author/Editor)書籍名 (Title)出版社 (Publisher)出版年 (Date)ISBN/ISSN
1 Field, Andy Discovering Statistics Using SPSS (5th edition) Sage 2013 9781526445766

【参考文献 / Readings】

No著者名 (Author/Editor)書籍名 (Title)出版社 (Publisher)出版年 (Date)ISBN/ISSN
1 Hair, Black, Babin, & Anderson Multivariate Data Analysis Cengage 2018 9781473756540

【履修にあたって求められる能力 / Abilities Required to Take the Course】

【学生が準備すべき機器等 / Equipment, etc., that Students Should Prepare】

【その他 / Others】

The above course schedule is tentative and is subject to change. Detailed syllabus will be provided at the beginning of the class.

【注意事項 / Notice】