Academic Year |
2024Year |
School/Graduate School |
Graduate School of Humanities and Social Sciences (Master's Course) Division of Educational Sciences Educational Studies Program |
Lecture Code |
WNC42000 |
Subject Classification |
Specialized Education |
Subject Name |
教育調査統計学演習 |
Subject Name (Katakana) |
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Subject Name in English |
Seminar on Educational Surveys and Statistics |
Instructor |
YAMADA HIROYUKI |
Instructor (Katakana) |
ヤマダ ヒロユキ |
Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, First Semester, First Semester |
Days, Periods, and Classrooms |
(1st) Mon5-6:EDU K108 |
Lesson Style |
Seminar |
Lesson Style (More Details) |
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Lecture and practice |
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) |
07
:
Education |
Eligible Students |
|
Keywords |
Educational statistics, Basic theory of statistics, Normal distiribution, Statistical estimation of mean, Hypothesis testing, Cross tables, correlation and simple regression |
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 |
Class Objectives /Class Outline To study theory of basic statistics and to acquire the skill of statistics analysis for actual practice at school teachers and administrators as well as educational researches. Student will learn normal distribution, T-statistics, cross table analysis, one-way variance analysis, correlation and simple regression. Student will analyse sample data provided by teacher, using SPSS/SYSTAT. |
Class Schedule |
lesson1 Introduction:Research method of education and statistics documents Lesson 2 Data classification:graphs and charts; mean and dispersion Lesson 3 Data classification:mean and dispersion(Exercise with Excel)
Lesson 4 Population and normal distribution Lesson 5 Characteristics of sample mean
Lesson 6 Estimation of means and variance
Lesson 7 Test of the difference of two means:Normal distribution and T-distribution
Lesson 8 Test of the difference of two means:T-distributionibution Lesson 9 Test of the difference of means:one-way analysis of variance
Lesson 10 Chi-square test:Cross table ananysis Lesson 11 Statistical analysis practicum(1)
Lesson 12 Correlation coefficient and single regression analysis
Lesson 13 Multiple regression analysis
Lesson 14 Statistical analysis practicum(2) Lesson 15 Submission of a report |
Text/Reference Books,etc. |
Text/Reference Books, etc. Textbook:田畑吉雄『新訂 やさしい統計学』現代数学社、2004年 All students must buy it. ISBN978-4-7687-0297-0 A5判 / 175pages / 1,890yen |
PC or AV used in Class,etc. |
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(More Details) |
PC or AV used in Class, etc. Textbook, Handouts,image(PC) |
Learning techniques to be incorporated |
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Suggestions on Preparation and Review |
Suggestions on Preparation and Review Not only theory learning but also actual calculation of figures in example and checking results in the statistics software are required. |
Requirements |
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Grading Method |
Grading Method Attendance status (50%), presentations for analysis results (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. |