| Academic Year |
2024Year |
School/Graduate School |
School of Education |
| Lecture Code |
CC512705 |
Subject Classification |
Specialized Education |
| Subject Name |
教育調査統計法演習 |
Subject Name
（Katakana） |
キョウイクチョウサトウケイホウエンシュウ |
Subject Name in
English |
Analysis of Educational Data(Sem) |
| Instructor |
YAMADA HIROYUKI |
Instructor
(Katakana) |
ヤマダ ヒロユキ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
3rd-Year, First Semester, First Semester |
| Days, Periods, and Classrooms |
(1st) Mon5-6：EDU K108, (1st) Thur3-4：EDU C203 |
| Lesson Style |
Seminar |
Lesson Style
(More Details) |
|
Exercise & Practical-oriented
|
| Credits |
4.0 |
Class Hours/Week |
|
Language of Instruction |
J
:
Japanese |
| Course Level |
3
:
Undergraduate High-Intermediate
|
| Course Area（Area） |
24
:
Social Sciences |
| Course Area（Discipline） |
07
:
Education |
| Eligible Students |
|
| Keywords |
Basic statistic, Multivariate analysis Computer, Data analysis, Creation of thesis
|
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | This class is to overview what students learned by analyzing and writing reports. Students are expected to make a research plan and to use quantitative data in research.
|
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | Educational Studies
（Abilities and Skills）
・Having the basic skills of research method on pedagogy such as foreign language competency, phyloanalysis, observation methods and information processing skills. |
|---|
Class Objectives
/Class Outline |
教育学、および教育社会学で用いられる主な統計的技法を紹介しながら、社会調査法を体系的に学ぶ。具体的には、実際に質問紙を作成して調査を行い、その結果を分析するとともに、プレゼンテーション、報告書にまとめる方法を実習形式で習得する。
|
| Class Schedule |
1 Introduction ― Statistical techniques in education
2 Research planning ―Set a research topic
3 Make a questionnaire : Learn how to make a questionnaire
4 Analysis of research results ― Input research results. Learn how to process data.
5 Statistical analysis １ ― Average value . Variance . Standard deviation
6 Statistical analysis ２ ― Learn how to use statistical package
7 Statistical analysis ― Learn how to make a cross tabulation
8 Analysis of variation（one-way）
10 Interpretation of the Result of Analysis - We're going to survey past analysis and consider how to interpret the result of analysis. I will point out issues like para-correlation in which you can make a mistake easily in that.
11 Multivariate Analysis 1 - Analysis of Factor
12 Multivariate Analysis 2 - Analysis of Factor Multiple Regression Analysis
13 Preparation of Presentation Materials
13 Preparation of Presentation Materials
14 Presentation 1
15 Presentation 2
Make a research report at the end.
|
Text/Reference
Books,etc. |
"Textbook:
Others: Necessary materials are provided and reference books are introduced in class when needed."
|
PC or AV used in
Class,etc. |
|
| (More Details) |
Textbook, PowerPoint, PC
|
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
Although avoiding using difficult numerical formulas each time, learn the meaning that the individual statistics techniques have, points that require attention in interpreting and problems. Not only understand the usages of application, but also hope that it will be utilized in a actual analyses and statement.That is why it is difficult to understand individual techniques only during class. It is expected that you will precisely review the assignments given in each lesson.
|
| Requirements |
|
| Grading Method |
Every time participation in learning practice, Quiz in lessons, Presentation and Report contents
|
| 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. |