日本語 English
| 開講年度/ Academic YearAcademic Year |
20262026 |
| 科目設置学部/ CollegeCollege |
社会デザイン研究科（MSDA）/Graduate School of Social Design Studies (MSDA)Graduate School of Social Design Studies (MSDA) |
| 科目コード等/ Course CodeCourse Code |
VP213/VP213VP213 |
| テーマ・サブタイトル等/ Theme・SubtitleTheme・Subtitle |
|
| 授業形態/ Class FormatClass Format |
対面（全回対面）/Face to face (all classes are face-to-face)Face to face (all classes are face-to-face) |
| 授業形態（補足事項）/ Class Format (Supplementary Items)Class Format (Supplementary Items) |
|
| 授業形式/ Class StyleCampus |
講義/LectureLecture |
| 校地/ CampusCampus |
池袋/IkebukuroIkebukuro |
| 学期/ SemesterSemester |
春学期/Spring SemesterSpring Semester |
| 曜日時限・教室/ DayPeriod・RoomDayPeriod・Room |
月3/Mon.3 Mon.3 ログインして教室を表示する（Log in to view the classrooms.） |
| 単位/ CreditsCredits |
22 |
| 科目ナンバリング/ Course NumberCourse Number |
SDM6211 |
| 使用言語/ LanguageLanguage |
英語/EnglishEnglish |
| 履修登録方法/ Class Registration MethodClass Registration Method |
科目コード登録/Course Code RegistrationCourse Code Registration |
| 配当年次/ Assigned YearAssigned 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。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。 |
| 先修規定/ Prerequisite RegulationsPrerequisite Regulations |
|
| 他学部履修可否/ Acceptance of Other CollegesAcceptance 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。 |
| 履修中止可否/ Course CancellationCourse Cancellation |
－（履修中止制度なし/ No system for cancellation) |
| オンライン授業60単位制限対象科目/ Online Classes Subject to 60-Credit Upper LimitOnline Classes Subject to 60-Credit Upper Limit |
|
| 学位授与方針との関連/ Relationship with Degree PolicyRelationship 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。 https://www.rikkyo.ac.jp/about/disclosure/educational_policy/sd.html |
| 備考/ NotesNotes |
Upon successful completion of this course, students will be able to
● become familiar with methods and procedures of quantitative research in the social sciences,
● understand the results of statistical analysis,
● select an appropriate statistical method and perform a statistical analysis using SPSS, and
● interpret and present the results to people who are not familiar with statistics.
The purpose of this course is to create a strong foundation for conducting a quantitative study. Students will be trained in designing survey research, interpreting the statistical results, and analyzing the quantitative data. In order not only to understand but also to perform quantitative research, it is important that you understand the mathematical concepts behind statistics. Students will work on mathematical problems in and outside the classroom. What is possibly more important than the mathematical understanding is the skills to perform statistical analysis. Students will learn how to perform statistical analyses using SPSS, a statistical software.
| 1 | Introduction: The Nature of Statistics & Organizing Data |
| 2 | Basic Descriptive Statistics: Percentages, Ratios, and Rates |
| 3 | Charts and Graphs |
| 4 | Measures of Central Tendency & Measures of Dispersion |
| 5 | The Normal Distribution |
| 6 | Inferential Statistics: Sampling Distribution and Two Types of Errors |
| 7 | Survey Design |
| 8 | Inferential Statistics: Hypothesis Testing with One Sample |
| 9 | Inferential Statistics: Hypothesis Testing with Two Samples |
| 10 | Chi Square Tests & Strengths of Association |
| 11 | Conducting T-tests and Chi-square Tests Using SPSS |
| 12 | Bivariate Measures of Association (Correlations) |
| 13 | Conducting Correlation Analysis Using SPSS |
| 14 | Conducting Your Own Analysis Using SPSS |
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
Readings: Students are expected to read the specified sections from the textbook and additional materials for review.
Homework: There are several homework assignments throughout the semester. Homework assignments include taking online quizzes, conducting statistical analyses by hand, and producing SPSS outputs and interpret them.
Students will need approximately 2 hours to review and complete the homework assignments for each class.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 平常点 (In-class Points) | 100 |
In-class Responses(10%) Homework(30%) Quizzes (3 quizzes) (20%) Final Report Proposals(10%) Final Report(30%) |
| 備考 (Notes) | ||
| No | 著者名 (Author/Editor) | 書籍名 (Title) | 出版社 (Publisher) | 出版年 (Date) | ISBN/ISSN |
|---|---|---|---|---|---|
| 1 | Barbara Illowsky et al. | Introductory Statistics 2e | OpenStax | 2023 | 9781961584327 |
| その他 (Others) | |||||
| This textbook is available for free at OpenStax. (https://openstax.org/details/books/introductory-statistics-2e ) | |||||
Previous training in statistics is neither required nor expected.
Whereas having a background in basic math will be helpful, it is not expected either.
Please secure access to SPSS (available through the university).
A calculator will be handy in class.
Upon successful completion of this course, students will be able to
● become familiar with methods and procedures of quantitative research in the social sciences,
● understand the results of statistical analysis,
● select an appropriate statistical method and perform a statistical analysis using SPSS, and
● interpret and present the results to people who are not familiar with statistics.
The purpose of this course is to create a strong foundation for conducting a quantitative study. Students will be trained in designing survey research, interpreting the statistical results, and analyzing the quantitative data. In order not only to understand but also to perform quantitative research, it is important that you understand the mathematical concepts behind statistics. Students will work on mathematical problems in and outside the classroom. What is possibly more important than the mathematical understanding is the skills to perform statistical analysis. Students will learn how to perform statistical analyses using SPSS, a statistical software.
| 1 | Introduction: The Nature of Statistics & Organizing Data |
| 2 | Basic Descriptive Statistics: Percentages, Ratios, and Rates |
| 3 | Charts and Graphs |
| 4 | Measures of Central Tendency & Measures of Dispersion |
| 5 | The Normal Distribution |
| 6 | Inferential Statistics: Sampling Distribution and Two Types of Errors |
| 7 | Survey Design |
| 8 | Inferential Statistics: Hypothesis Testing with One Sample |
| 9 | Inferential Statistics: Hypothesis Testing with Two Samples |
| 10 | Chi Square Tests & Strengths of Association |
| 11 | Conducting T-tests and Chi-square Tests Using SPSS |
| 12 | Bivariate Measures of Association (Correlations) |
| 13 | Conducting Correlation Analysis Using SPSS |
| 14 | Conducting Your Own Analysis Using SPSS |
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
Readings: Students are expected to read the specified sections from the textbook and additional materials for review.
Homework: There are several homework assignments throughout the semester. Homework assignments include taking online quizzes, conducting statistical analyses by hand, and producing SPSS outputs and interpret them.
Students will need approximately 2 hours to review and complete the homework assignments for each class.
| 種類 (Kind) | 割合 (%) | 基準 (Criteria) |
|---|---|---|
| 平常点 (In-class Points) | 100 |
In-class Responses(10%) Homework(30%) Quizzes (3 quizzes) (20%) Final Report Proposals(10%) Final Report(30%) |
| 備考 (Notes) | ||
| No | 著者名 (Author/Editor) | 書籍名 (Title) | 出版社 (Publisher) | 出版年 (Date) | ISBN/ISSN |
|---|---|---|---|---|---|
| 1 | Barbara Illowsky et al. | Introductory Statistics 2e | OpenStax | 2023 | 9781961584327 |
| その他 (Others) | |||||
| This textbook is available for free at OpenStax. (https://openstax.org/details/books/introductory-statistics-2e ) | |||||
Previous training in statistics is neither required nor expected.
Whereas having a background in basic math will be helpful, it is not expected either.
Please secure access to SPSS (available through the university).
A calculator will be handy in class.