| Academic Year |
2022Year |
School/Graduate School |
Graduate School of Humanities and Social Sciences (Master's Course) Division of Humanities and Social Sciences Psychology Program |
| Lecture Code |
WMC10050 |
Subject Classification |
Specialized Education |
| Subject Name |
心理学特講B |
Subject Name
（Katakana） |
|
Subject Name in
English |
Special Lecture on Psychology B |
| Instructor |
SHIMIZU HIROSHI,SHIMIZU HISAYO,SUGIMURA KAZUMI,SUGIMURA SHINICHIRO,CHUJO KAZUMITSU,NAKAO TAKASHI,MORINAGA YASUKO,NAKASHIMA KENICHIRO,HIRAKAWA MAKOTO,UMEMURA TOMOTAKA,KAMBARA TOSHIMUNE,MORITA AIKO,YUZAWA MASAMICHI,MIYATANI MAKOTO |
Instructor
(Katakana) |
シミズ ヒロシ,シミズ ヒサヨ,スギムラ カズミ,スギムラ シンイチロウ,チュウジョウ カズミツ,ナカオ タカシ,モリナガ ヤスコ,ナカシマ ケンイチロウ,ヒラカワ マコト,ウメムラ トモタカ,カンバラ トシムネ,モリタ アイコ,ユザワ マサミチ,ミヤタニ マコト |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, Second Semester, Second Semester |
| Days, Periods, and Classrooms |
(2nd) Inte：To be announced. |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
| Lecture and exercise lesson, student oral presentation and discussion |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
J
:
Japanese |
| Course Level |
5
:
Graduate Basic
|
| Course Area（Area） |
24
:
Social Sciences |
| Course Area（Discipline） |
06
:
Psychology |
| Eligible Students |
|
| Keywords |
Bayesian statistics, statistic modeling, psychometrics |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program | |
|---|
Criterion referenced
Evaluation | |
|---|
Class Objectives
/Class Outline |
In order to carry out research in psychology and to become an expert in advanced practice, it is essential to learn basic and applied research methods. The goal of this class is to provide students with specialized knowledge and skills related to psychological research methods such as experiments, surveys, observations, and interviews, as well as the analysis of the results. Specifically, these research and analysis methods will be explained and discussed to deepen the understanding of these methods. Students will also discuss and consider research and analysis methods appropriate for their own research. In this year, we introduce statistical modeling and Bayesian estimation. The purpose of this class is to learn theory of Bayesian statistical modeling and how to estimate probability models with Stan. |
| Class Schedule |
lesson1 Orientation
lesson2 The trends of Bayesian statistics
lesson3 Bayesian statistical modeling.
lesson4 Probability distribution and likelihood
lesson5 Model evaluation
lesson6 Models with normal distribution
lesson7 Probabilistic programming languages
lesson8 Stan
lesson9 Generalized linear model
lesson10 Random effect model
lesson11 Generalized linear mixed model
lesson12 Statistical modeling in psychology
lesson13 Psychometrics and statistical modeling
lesson14 How to create original model
lesson15 general comment |
Text/Reference
Books,etc. |
To be introduced in the class as required. |
PC or AV used in
Class,etc. |
|
| (More Details) |
Handouts，image (video/PC/other image material) |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
To be introduced in the class through all lesson. |
| Requirements |
|
| Grading Method |
Students to be comprehensively assessed by post-class reports in each day. |
| 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. |