Hiroshima University Syllabus

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Japanese
Academic Year 2020Year School/Graduate School Graduate School of Humanities and Social Sciences (Master's Course) Division of Educational Sciences International Education Development Program
Lecture Code WNE01901 Subject Classification Specialized Education
Subject Name 教育統計慨論
Subject Name
(Katakana)
キョウイクトウケイガイロン
Subject Name in
English
Introduction of Statistical Analysis in Education
Instructor SHIMIZU KINYA
Instructor
(Katakana)
シミズ キンヤ
Campus Higashi-Hiroshima Semester/Term 1st-Year,  Second Semester,  4Term
Days, Periods, and Classrooms (4T) Fri1-4:IDEC 207
Lesson Style Lecture Lesson Style
【More Details】
Lecture and actual application of statistical theories using a calculator.  
Credits 2 Class Hours/Week   Language on Instruction E : English
Course Level 5 : Graduate Basic
Course Area(Area) 24 : Social Sciences
Course Area(Discipline) 07 : Education
Eligible Students Mainly for IDEC students in Educational development
Keywords Statistical analysis, educational research 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
 
Criterion referenced
Evaluation
 
Class Objectives
/Class Outline
This course will introduce the basic concepts and methods of statistical analysis (in Education.) The course will provide lectures and exercises on descriptive variables, statistical inference, analysis of bivariate relationships, categorical data analysis, and bivariate regression and correlation.
Although the instructor will provide a series of lectures on this subject, students are responsible to present their own solution for each exercise in class.
 
Class Schedule week 1 Introduction
week 2 Chapter 1: Statistics in the Research Process and Problems
week 3 Chapter 1: Statistics in the Research Process and Problems
week 4   Chapter 2: Describing Variables & Problems
week 5 Chapter 2: Describing Variables & Problems
week 6 Chapter 2: Describing Variables & Problems
week 7 Review and Problems
week 8 MID-TERM EXAM
week 9 Chapter 3: Inferences about Means
week 10 Chapter 3: Inferences about Means
week 11  Chapter 4: Analysis of Variance
week 12 Chapter 4: Analysis of Categoric Data
week 13 Chapter 5: Analysis of Categoric Data
week 14 Review and Problems
week 15 FINAL EXAM 
 
Text/Reference
Books,etc.
George W. Bohrnstedt and David Knoke, “Statistics for Social Data Analysis” (Itasca, Illinois: F.E. Peacock Publishers, inc., 1994) [ISBN 0-87581-381-X]  
PC or AV used in
Class,etc.
Students must be able to use Calculator  
Suggestions on
Preparation and
Review
(1) Students must read each chapter in advance, (2)students must solve all problems on the text prior to the second class on that chapter  
Requirements This class will be taught in English only. Thus, it requires an advanced level of English proficiency.  
Grading Method Grading:
Proportion of evaluation
1 Attendance  10%
2 Assignments and Presentation of solutions 30%
3 Mid-Term Exam 30%
4 Final Exam 30%

[Allocation of points in grades]
Scores Grade in IDEC
100-90%          A
89-80% A
79-70% B
69-60% C
BELOW 59%(Fail) D
 
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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