Hiroshima University Syllabus

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Japanese
Academic Year 2026Year School/Graduate School School of Integrated Arts and Sciences Department of Integrated Arts and Sciences
Lecture Code AHA43001 Subject Classification Specialized Education
Subject Name 行動科学実習法
Subject Name
(Katakana)
コウドウカガクジッシュウホウ
Subject Name in
English
Practical Methods in Behavioral Sciences
Instructor KOMIYA ASUKA,HAYASHI MITSUO,SUGIURA YOSINORI,SAKATA KIRIKO,OGAWA KEIKO,KITAKAJI YOKO,KONG GARRY,KASHIHARA JUN,YOSHIMOTO SANAE
Instructor
(Katakana)
コミヤ アスカ,ハヤシ ミツオ,スギウラ ヨシノリ,サカタ キリコ,オガワ ケイコ,キタカジ ヨウコ,コング ギャリー,カシハラ ジュン,ヨシモト サナエ
Campus Higashi-Hiroshima Semester/Term 2nd-Year,  Second Semester,  Second Semester
Days, Periods, and Classrooms (2nd) Fri1:IAS A312
Lesson Style Practical Lesson Style
(More Details)
Face-to-face
Conducting experiments and write papers.  
Credits 1.0 Class Hours/Week 1 Language of Instruction J : Japanese
Course Level 2 : Undergraduate Low-Intermediate
Course Area(Area) 24 : Social Sciences
Course Area(Discipline) 06 : Psychology
Eligible Students
Keywords  
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students)
Students will acquire the knowledge and skills required to conduct a graduation research project in the Behavioral Science Program. 
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students)
 
Class Objectives
/Class Outline
This course aims to develop fundamental methods and techniques for scientifically and empirically understanding human behavior.
It provides instruction on experimental methods for studying human behavior, approaches to data collection, and scientific writing based on empirical data. 
Class Schedule Session 1
Behavioral Quantitative Methods I: The Mental World and the Real World (Sakata, Komiya, Kitakaji)
Session 2
Behavioral Quantitative Methods II: The KJ Method and Category Systems (Sakata, Komiya, Kitakaji)    
Session 3
Behavioral Quantitative Methods III: Reliability of Category Systems (Sakata, Komiya, Kitakaji)
Session 4
Multivariate Analysis I: Fundamentals of Analyzing Survey Data Using Psychological Scales (Sugiura)
Session 5
Multivariate Analysis II: Advanced Methods for Analyzing Survey Data Using Psychological Scales (Kashihara)
Session 6
Psychophysical Measurement Methods I: Fundamentals of Psychophysical Experiments (Kong)
Session 7
Psychophysical Measurement Methods II: Practical Applications of Psychophysical Experiments (Kong)
Session 8
Cognitive Psychological Experimental Design I: Fundamentals of Computer-Based Experiments (Ogawa)
Session 9
Cognitive Psychological Experimental Design II: Programming for Experiments (Ogawa)
Session 10
Psychophysiological Methods I: Measurement of Autonomic Nervous System Activity — Heart Rate and Pulse Wave (Hayashi)
Session 11
Psychophysiological Methods II: Measurement of Autonomic Nervous System Activity — Electrodermal Activity and Respiration (Hayashi)
Session 12
Psychological Experiments Using AI I: Methods for Using AI and Points of Caution (Yoshimoto)
Session 13
Psychological Experiments Using AI II: Practical Applications of AI in Psychological Experiments (Yoshimoto)
Session 14
Research Paper Guidance: Techniques for Better Academic Writing (All Faculty)
Session 15
Course Review and Reflection (All Faculty) 
Text/Reference
Books,etc.
教科書
宮谷真人・坂田省吾(編著)心理学基礎実習マニュアル 北大路書房  

参考書等
森敏昭・吉田寿夫(編著)心理学のためのデータ解析テクニカルブック 北大路書房
 
PC or AV used in
Class,etc.
Text, Handouts, Audio Materials, Microsoft Teams, Microsoft Stream, Microsoft Forms, moodle
(More Details) Text, handouts, slides 
Learning techniques to be incorporated Discussions, Fieldwork / Survey, Post-class Report
Suggestions on
Preparation and
Review
Behavioral Quantitative Methods: Students are expected to carefully read specialized books on questionnaire design.
Multivariate Analysis: Students are expected to carefully read specialized books on statistical analysis.
Psychophysical Measurement Methods: Students are expected to carefully read specialized books on psychophysics.
Cognitive Psychological Experimental Design: Students should use their free time to become proficient in computer operation.
Psychological Experiments Using AI: Students are expected to carefully read specialized books on artificial intelligence.
Report Guidance: Students should carefully review the comments written on their returned reports and resubmit revised versions. 
Requirements (1) This course explains the experimental methods used in Behavioral Science Practicum and is designed to be taken concurrently with that course.
(2) For students planning to conduct a graduation thesis in the Behavioral Science Program (Psychology and Behavioral Sciences), enrollment in this course is a prerequisite.
(3) Due to laboratory capacity limitations, enrollment is capped at 24 students. If the number of applicants exceeds the limit, priority will be given to students in the Human Behavioral Science course group.
(4) Prior completion of Introduction to Psychology A and Introduction to Psychology B is strongly recommended. 
Grading Method Overall evaluation will be based on class participation (approximately 50%) and the content of reports submitted as required (approximately 50%). 
Practical Experience Experienced  
Summary of Practical Experience and Class Contents based on it Experimental training sessions will be conducted with the participation of instructors who have practical experience in counseling and mental health fields. 
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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