| Academic Year |
2024Year |
School/Graduate School |
School of Integrated Arts and Sciences Department of Integrated Arts and Sciences |
| Lecture Code |
ASS29001 |
Subject Classification |
Specialized Education |
| Subject Name |
社会調査データ分析の基礎 |
Subject Name
（Katakana） |
シャカイチョウサデータブンセキノキソ |
Subject Name in
English |
Basic Analysis Method of Social Research Data |
| Instructor |
SHIN JAEYOUL |
Instructor
(Katakana) |
シン ゼヨル |
| Campus |
Higashi-Hiroshima |
Semester/Term |
2nd-Year, First Semester, 1Term |
| Days, Periods, and Classrooms |
(1T) Mon5-8：IAS K310 |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
Lecture, practice using Microsoft Excel
Language to be used in the lecture is only Japanese.
|
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
J
:
Japanese |
| Course Level |
3
:
Undergraduate High-Intermediate
|
| Course Area（Area） |
24
:
Social Sciences |
| Course Area（Discipline） |
05
:
Sociology |
| Eligible Students |
|
| Keywords |
Social research, data collection, data processing, data analysis |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | Correspond to the certification program of social researcher “C class: Basic Analysis of Documents and Data” |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | Integrated Arts and Sciences
（Knowledge and Understanding）
・Knowledge and understanding of the importance and characteristics of each discipline and basic theoretical framework.
（Abilities and Skills）
・The ability and skills to collect and analyze necessary literature or data among various sources of information on individual academic disciplines. |
|---|
Class Objectives
/Class Outline |
Learn how to understand and utilize statistics.
Learn the basic technics of data analysis |
| Class Schedule |
lesson1 Introduction
lesson2 Utilization of secondary data(1)
lesson3 Utilization of secondary data(2)
lesson4 Understanding basic concepts and measurement levels of social research
lesson5 Data analysis (frequency distribution table)
lesson6 Data analysis (mean, median, mode, percentile)
lesson7 Data analysis (visualizing Data-1 )
lesson8 Data analysis (visualizing Data-2)
lesson9 Data analysis (distribution and variance )
lesson10 Data analysis (standard deviation, Z value, coefficient of variation, box-whisker diagram )
lesson11 Data analysis (understanding hypothesis testing, cross-tabulation )
lesson12 Data analysis ( chi-square)
lesson13 Data analysis ( Covariance and correlation)
lesson14 Data analysis ( causality)
lesson15 Final exam and answers and explanations |
Text/Reference
Books,etc. |
There are no textbooks. The lecturer distributes the materials. |
PC or AV used in
Class,etc. |
|
| (More Details) |
|
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
The lecturer recommends students to read related materials and reference literatures. |
| Requirements |
|
| Grading Method |
Final examination(80%), Quiz in each class(20%) |
| 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. |