62162201 Introduction to Statistics and Quantitative Sociology

Hiroshima University Syllabus

Japanese

Academic Year 2024Year School/Graduate School Liberal Arts Education Program

Lecture Code 62162201 Subject Classification Area Courses

Subject Name Introduction to Statistics and Quantitative Sociology

Subject Name
（Katakana）

Subject Name in
English Introduction to Statistics and Quantitative Sociology

Instructor SHIRAKAWA TOSHIYUKI

Instructor
(Katakana) シラカワ　トシユキ

Campus Higashi-Hiroshima Semester/Term 1st-Year, Second Semester, 3Term

Days, Periods, and Classrooms (3T) Mon1-4：IAS K105

Lesson Style Lecture Lesson Style
(More Details) 　

Credits 2.0 Class Hours/Week 　 Language of Instruction E : English

Course Level 2 : Undergraduate Low-Intermediate

Course Area（Area） 24 : Social Sciences

Course Area（Discipline） 05 : Sociology

Eligible Students

Keywords Social science, Data analysis, Statistical model, Statistical inference and test

Special Subject for Teacher Education 　 Special Subject 　

Class Status within
Liberal Arts Education Area Courses（Courses in Arts and Humanities/Social Sciences)　Category：Law / Political Sciences / Sociology / Economics / Education
Expected Outcome 1. To be able to explain the formation and development processes and contemporary issues of each academic discipline.
2. To be able to explain historical and contemporary issues that span multiple academic disciplines from multifaceted perspectives.

Class Objectives
/Class Outline I will give lectures on the way of analyzing data obtained by social surveys. The main goal of this course is to provide knowledge about the method of summarizing and describing data using statistical models. However, I also offer the basic idea of statistical inference.

Class Schedule lesson1-1 Statistics in the research process
lesson1-2 Statistics in the research process: Exercise
lesson2-1 Describing variables
lesson2-2 Describing variables: Exercise
lesson3-1 Statistical inference (1)
lesson3-2 Statistical inference (1): Exercise
lesson4-1 Statistical inference (2)
lesson4-2 Statistical inference (2): Exercise
lesson5-1 Statistical inference (3)
lesson5-2 Statistical inference (3): Exercise
lesson6-1 Analysis of variance
lesson6-2 Analysis of variance: Exercise
lesson7-1 Analyzing categoric data
lesson7-2 Analyzing categoric data: Exercise
lesson8 Examination

Examination

Text/Reference
Books,etc. Knoke, D., G. W. Bohrnstedt , & A. P. Mee, 2002, Statistics for Social Data Analysis (4th ed.), Belmont, CA: Wadsworth.（＝1992，海野道郎・中村隆監訳，『社会統計学――社会調査のためのデータ分析入門』ハーベスト社．）

PC or AV used in
Class,etc. 　

(More Details) Text, Handout, Presentation slide

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review This is a term-based course, so there are two classes per week. The first class of each week will be a lecture. During the second class period, you will work on the exercises, and your participation in this class will be evaluated based on your answers to the exercises. I will also be available during the second class period to answer any questions you may have about the content of the class.

In order to understand the method of data analysis, it is essential to practice many computational problems. Please purchase a text that suits your level and research purpose, and repeat the training to calculate statistics.

Requirements Bring your calculator that has a square root function. Basic knowledge of probability, algebra, and equations learned in high school math is essential to understanding the course content. If your math skills are rusty, be sure to review them with your high school math textbook before taking the course.

This course will be taught in English. All handouts and other materials will be in English. However, if you ask questions in Japanese, the instructor will answer in Japanese. You can also write your answers in Japanese for the assignments and exams.

Grading Method Participation 15
Examination 85

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.

Academic Year	2024Year	School/Graduate School	Liberal Arts Education Program
Lecture Code	62162201	Subject Classification	Area Courses
Subject Name	Introduction to Statistics and Quantitative Sociology
Subject Name （Katakana）
Subject Name in English	Introduction to Statistics and Quantitative Sociology
Instructor	SHIRAKAWA TOSHIYUKI
Instructor (Katakana)	シラカワ　トシユキ
Campus	Higashi-Hiroshima	Semester/Term	1st-Year, Second Semester, 3Term
Days, Periods, and Classrooms	(3T) Mon1-4：IAS K105
Lesson Style	Lecture	Lesson Style (More Details)

Credits	2.0	Class Hours/Week		Language of Instruction	E : English
Course Level	2 : Undergraduate Low-Intermediate
Course Area（Area）	24 : Social Sciences
Course Area（Discipline）	05 : Sociology
Eligible Students
Keywords	Social science, Data analysis, Statistical model, Statistical inference and test
Special Subject for Teacher Education		Special Subject
Class Status within Liberal Arts Education	Area Courses（Courses in Arts and Humanities/Social Sciences)　Category：Law / Political Sciences / Sociology / Economics / Education
Expected Outcome	1. To be able to explain the formation and development processes and contemporary issues of each academic discipline. 2. To be able to explain historical and contemporary issues that span multiple academic disciplines from multifaceted perspectives.
Class Objectives /Class Outline	I will give lectures on the way of analyzing data obtained by social surveys. The main goal of this course is to provide knowledge about the method of summarizing and describing data using statistical models. However, I also offer the basic idea of statistical inference.
Class Schedule	lesson1-1 Statistics in the research process lesson1-2 Statistics in the research process: Exercise lesson2-1 Describing variables lesson2-2 Describing variables: Exercise lesson3-1 Statistical inference (1) lesson3-2 Statistical inference (1): Exercise lesson4-1 Statistical inference (2) lesson4-2 Statistical inference (2): Exercise lesson5-1 Statistical inference (3) lesson5-2 Statistical inference (3): Exercise lesson6-1 Analysis of variance lesson6-2 Analysis of variance: Exercise lesson7-1 Analyzing categoric data lesson7-2 Analyzing categoric data: Exercise lesson8 Examination Examination
Text/Reference Books,etc.	Knoke, D., G. W. Bohrnstedt , & A. P. Mee, 2002, Statistics for Social Data Analysis (4th ed.), Belmont, CA: Wadsworth.（＝1992，海野道郎・中村隆監訳，『社会統計学――社会調査のためのデータ分析入門』ハーベスト社．）
PC or AV used in Class,etc.
(More Details)	Text, Handout, Presentation slide
Learning techniques to be incorporated
Suggestions on Preparation and Review	This is a term-based course, so there are two classes per week. The first class of each week will be a lecture. During the second class period, you will work on the exercises, and your participation in this class will be evaluated based on your answers to the exercises. I will also be available during the second class period to answer any questions you may have about the content of the class. In order to understand the method of data analysis, it is essential to practice many computational problems. Please purchase a text that suits your level and research purpose, and repeat the training to calculate statistics.
Requirements	Bring your calculator that has a square root function. Basic knowledge of probability, algebra, and equations learned in high school math is essential to understanding the course content. If your math skills are rusty, be sure to review them with your high school math textbook before taking the course. This course will be taught in English. All handouts and other materials will be in English. However, if you ask questions in Japanese, the instructor will answer in Japanese. You can also write your answers in Japanese for the assignments and exams.
Grading Method	Participation 15 Examination 85
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.

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