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) |
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Lecture |
Credits |
2.0 |
Class Hours/Week |
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Language of Instruction |
J
:
Japanese |
Course Level |
5
:
Graduate Basic
|
Course Area(Area) |
24
:
Social Sciences |
Course Area(Discipline) |
05
:
Sociology |
Eligible Students |
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Keywords |
Social Change Data Analysis Regression Analysis |
Special Subject for Teacher Education |
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Special Subject |
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Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students) | |
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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. |
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(More Details) |
Texts and materials |
Learning techniques to be incorporated |
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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 |
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Grading Method |
Students will be comprehensively evaluated on the basis of their Q&A performance(50%) and final examination(50%). |
Practical Experience |
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Summary of Practical Experience and Class Contents based on it |
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Message |
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Other |
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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. |