Hiroshima University Syllabus

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Japanese
Academic Year 2022Year School/Graduate School School of Informatics and Data Science
Lecture Code KA219001 Subject Classification Specialized Education
Subject Name 行動計量学
Subject Name
(Katakana)
コウドウケイリョウガク
Subject Name in
English
Behaviormetrics
Instructor HIRAKAWA MAKOTO
Instructor
(Katakana)
ヒラカワ マコト
Campus Higashi-Hiroshima Semester/Term 3rd-Year,  First Semester,  1Term
Days, Periods, and Classrooms (1T) Fri5-8:ENG 106
Lesson Style Lecture Lesson Style
(More Details)
 
Lecture-oriented, Practical work 
Credits 2.0 Class Hours/Week   Language of Instruction B : Japanese/English
Course Level 3 : Undergraduate High-Intermediate
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 01 : Mathematics/Statistics
Eligible Students
Keywords psychometrics, experimental design, statistical modeling 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
 
Criterion referenced
Evaluation
Informatics and Data Science Program
(Knowledge and Understanding)
・D1. Knowledge and skills required for understanding the theoretical system of statistics and data analysis, and for precisely and efficiently analyzing qualitative/quantitative information in big data.
 
Class Objectives
/Class Outline
In this course you will learn about how to collect behavioral data and how to analyses these data with statistical model.The aim of this course is to understand the points that need to be taken into account in order to properly interpret about human behavior based on the statistical analysis.
 
Class Schedule lesson1 guidance
lesson2 introduction to psychological statistics
lesson3 psychometrics
lesson4 scaling methods in psychological evaluation
lesson5 validity and reliability of measurement
lesson6 social issues regarding the use of measurements
lesson7 correlation and causation
lesson8 experimental control
lesson9 one-factor experimental design
lesson10 two-factor experimental design
lesson11 linear model for psychological data
lesson12 generalized linear mixed model
lesson13 questionable research practices in psychology
lesson14 discussion on improving QRPs in psychology
lesson15 general discussion

Final exam will be held on lesson 15. 
Text/Reference
Books,etc.
none 
PC or AV used in
Class,etc.
 
(More Details) slide, Hikkei PC 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
Understand every classes 
Requirements  
Grading Method test 
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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