| Academic Year |
2026Year |
School/Graduate School |
School of Integrated Arts and Sciences Department of Integrated Global Studies |
| Lecture Code |
ARC01501 |
Subject Classification |
Specialized Education |
| Subject Name |
Social Statistics Analysis II (社会統計・データ分析 II) |
Subject Name
（Katakana） |
シャカイトウケイ・データブンセキ II |
Subject Name in
English |
Social Statistics Analysis II |
| Instructor |
SHIRAKAWA TOSHIYUKI |
Instructor
(Katakana) |
シラカワ トシユキ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
2nd-Year, First Semester, 2Term |
| Days, Periods, and Classrooms |
(2T) Weds9-10：IAS K205 |
| Lesson Style |
Seminar |
Lesson Style
(More Details) |
Online (on-demand) |
| Lecture, Seminar |
| Credits |
1.0 |
Class Hours/Week |
2 |
Language of Instruction |
E
:
English |
| Course Level |
3
:
Undergraduate High-Intermediate
|
| Course Area（Area） |
24
:
Social Sciences |
| Course Area（Discipline） |
05
:
Sociology |
| Eligible Students |
|
| Keywords |
|
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | Integrated Global Studies
（Knowledge and Understanding）
・The knowledge and understanding of the important characteristics and basic theoretical framework of individual academic disciplines. |
|---|
Class Objectives
/Class Outline |
I will give lectures on the way of analyzing data obtained by social surveys. In Social Statistics Analysis II, we will learn how to analyze the relationship between three or more variables, with the ultimate goal being to understand multiple linear regression. |
| Class Schedule |
lesson1 Bivariate regression and correlation (1)
lesson2 Bivariate regression and correlation (2)
lesson3 The logic of multivariate contingency analysis (1)
lesson4 The logic of multivariate contingency analysis (2)
lesson5 Multiple regression analysis (1)
lesson6 Multiple regression analysis (2)
lesson7 Review and exercises
lesson8 Wrap-up |
Text/Reference
Books,etc. |
Knoke, D., G. W. Bohrnstedt , & A. P. Mee, 2002, Statistics for Social Data Analysis (4th ed.), Belmont, CA: Wadsworth. |
PC or AV used in
Class,etc. |
Text, Handouts, Visual Materials, moodle |
| (More Details) |
Text, Handout, Presentation slide |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
In order to establish an understanding of the method of data analysis, it is indispensable to practice many calculation problems. Please purchase text that suits your level and research purpose and repeat training to compute statistics.
If you have difficulty understanding the on-demand materials, in-person explanations will be available on Friday mornings during the first semester. Please make an appointment by email in advance if necessary. |
| Requirements |
Bring your calculator which has a function of square root operation. To understand the content covered in "Social Statistics Analysis II," prior knowledge from either "Introduction to Statistics and Quantitative Sociology" or "Social Statistics Analysis I" is required. Students must complete one of these courses before enrolling in this course. |
| Grading Method |
In-class assignments: 100%
There will be an assignment for each class session. Please follow the instructions posted on the online learning system (Moodle) and submit your assignment within approximately one week after completing the lesson. |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
|
| Other |
|
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. |