Hiroshima University Syllabus

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Japanese
Academic Year 2024Year School/Graduate School Graduate School of Humanities and Social Sciences (Master's Course) Division of Humanities and Social Sciences Law and Politics Program
Lecture Code WMD03000 Subject Classification Specialized Education
Subject Name 社会調査論
Subject Name
(Katakana)
シャカイリョウサロン
Subject Name in
English
Social Survey
Instructor EGASHIRA DAIZOU
Instructor
(Katakana)
エガシラ ダイゾウ
Campus Higashi-Senda Semester/Term 1st-Year,  First Semester,  First Semester
Days, Periods, and Classrooms (1st) Thur11-12:Higashi-Senda Meeting Rm 3-1
Lesson Style Lecture Lesson Style
(More Details)
 
Lecture 
Credits 2.0 Class Hours/Week   Language of Instruction J : Japanese
Course Level 5 : Graduate Basic
Course Area(Area) 24 : Social Sciences
Course Area(Discipline) 05 : Sociology
Eligible Students
Keywords Social Change  Data Analysis  Regression Analysis 
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)
 
Class Objectives
/Class Outline
Students will learn about basic knowledge of social research, and will be able to understand data analysis using regression model. 
Class Schedule lesson1 Introduction
lesson2 History and present situation of social research
lesson3 Case studies of social research
lesson4 Major statistics: mean, variance, standard deviation
lesson5 Normal distribution
lesson6 Calculation of correlation coefficient
lesson7 Contingency table
lesson8 Theory and method of sampling: systematic sampling
lesson9 Theory and method of sampling: sampling with probability proportionate to size
lesson10 Statistical test
lesson11 Regression analysis
lesson12 Multiple regression analysis
lesson13 Multicollinearity and choice of variables
lesson14 Improvement of regression model
lesson15 Review and overall summary 
Text/Reference
Books,etc.
Literatures of basic statistics will be presented in first class 
PC or AV used in
Class,etc.
 
(More Details) Texts and materials 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
lesson 1-3  Students must understand the aims and construction of this class, and also grab the image of effectiveness and limitations of quantitative research.

lesson 4-6 Students will study about basic statistics, such as mean, variance, standard deviation, which are indispensable to following lessons.

lesson 7-10 Students will study about standard methods of quantitative research, such as contingency table, sampling, statistical test.

lesson 11-14 Students will study about multiple regression analysis which is frequently used in social sciences.

lesson 15  Overall review will be presented. 
Requirements  
Grading Method Students will be comprehensively evaluated on the basis of their Q&A performance(50%) and final examination(50%).  
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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