| Academic Year |
2024Year |
School/Graduate School |
Graduate School of Humanities and Social Sciences (Master's Course) Division of Humanities and Social Sciences Management Sciences Program |
| Lecture Code |
WMF04900 |
Subject Classification |
Specialized Education |
| Subject Name |
マネジメント特講（多変量解析特論） |
Subject Name
（Katakana） |
|
Subject Name in
English |
Special Seminar in Management |
| Instructor |
SHIMIZU HIROSHI,SOUMA TOSHIHIKO |
Instructor
(Katakana) |
シミズ ヒロシ,ソウマ トシヒコ |
| Campus |
Higashi-Senda |
Semester/Term |
1st-Year, Second Semester, Second Semester |
| Days, Periods, and Classrooms |
(2nd) Inte：Higashi-Senda Computer Rm |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
| Seminar using statistical software(HAD). |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
J
:
Japanese |
| Course Level |
6
:
Graduate Advanced
|
| Course Area（Area） |
24
:
Social Sciences |
| Course Area（Discipline） |
04
:
Management |
| Eligible Students |
|
| Keywords |
Statistics, multivariate analysis. |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Class Objectives
/Class Outline |
To study applied statistical method and theory, and practical procedure for analyzing the data. |
| Class Schedule |
lesson1：inferential statistics.
lesson2：t test and analysis of variance.
lesson3：correlation analysis
lesson4：factor analysis 1
lesson5：factor analysis 2
lesson6：reliability and validity of psychological scale.
lesson7：regression analysis 1
lesson8：regression analysis 2
lesson9：regression analysis 3
lesson10：mediation analysis
lesson11：cluster analysis
lesson12：quantificational analysis
lesson13：structure equation model 1
lesson14：structure equation model 2
lesson15：generalized linear model
report |
Text/Reference
Books,etc. |
none |
PC or AV used in
Class,etc. |
|
| (More Details) |
PC |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
it needs to review for basic statistics (ex.descriptive statistics). |
| Requirements |
|
| Grading Method |
Report 100% |
| 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. |