Hiroshima University Syllabus

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Japanese
Academic Year 2020Year School/Graduate School Graduate School of Biomedical and Health Sciences (Master’s Course)
Lecture Code TB068111 Subject Classification Specialized Education
Subject Name 保健科学特論1(調査研究)
Subject Name
(Katakana)
ホケンカガクトクロン1(チョウサケンキュウ)
Subject Name in
English
Advanced Lecture on Health Science 1(Survey Research)
Instructor HANAOKA HIDEAKI,NAITO MARIKO,SHINPUKU YOKO,KAKEHASHI MASAYUKI,MURAYAMA TAKESHI,TANABE KAZUAKI,NAKATANI HISAE
Instructor
(Katakana)
ハナオカ ヒデアキ,ナイトウ マリコ,シンプク ヨウコ,カケハシ マサユキ,ムラヤマ タケシ,タナベ カズアキ,ナカタニ ヒサエ
Campus Kasumi Semester/Term 1st-Year,  First Semester,  First Semester
Days, Periods, and Classrooms (1st) Tues11-12
Lesson Style Lecture Lesson Style
【More Details】
Lecture,Discussion,Presentation 
Credits 2.0 Class Hours/Week   Language on Instruction B : Japanese/English
Course Level 5 : Graduate Basic
Course Area(Area) 27 : Health Sciences
Course Area(Discipline) 04 : Nursing and Rehabilitation Sciences
Eligible Students Mastor' s course students
Keywords Survey research, Quantitative research 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
 
Criterion referenced
Evaluation
 
Class Objectives
/Class Outline
Understand the basic theory and outline of the survey research method.
In addition, understand the selection of target subjects, ethical consideration, process of survey implementation, setting of questionnaires, statistical method.
Get the ability to develop and implement an appropriate research study plan according to research purpose. 
Class Schedule Lesson 1   Orientation, (Hideaki Hanaoka)
Lesson 2  Kinds of survey research  (Hideaki Hanaoka)
Lesson 3  Research and ethics (Hisae Nakatani)
Lesson 4  Critique of research (Hisae Nakatani)
Lesson 5  Research using questionnaires (Yoko Shimpuku)
Lesson 6  Field research (Yoko Shimpuku)
Lesson 7  Survey research in clinical study (1) (Kazuaki Tanabe)
Lesson 8  Survey research in clinical study (2) (Kazuaki Tanabe)
Lesson 9  Setting a research question and planning the research project (Mariko Naito)
Lesson 10 Statistical modelling I: Multiple regression analysis, logistic regression analysis (Masayuki Kakehashi)
Lesson 11 Procedure of survey research (Hideaki Hanaoka)
Lesson 12 Statistical modelling II: Factor analysis, principal component analysis (Masayuki Kakehashi)
Lesson 13 Statistical modelling III: Structural equation modeling (Covariance structure analysis)  (Masayuki Kakehashi)
Lesson 14 Machine Learning (Takeshi Murayama)
Lesson 15 Statistical modelling IV: Reliability and validity (Masayuki Kakehashi)

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Requirements The content of this class may be changed as necessary.
This class will be held online. 
Grading Method Grading will be based on attendance and  reports 
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Instructors will reflect on your feedback and utilize the information for improving their teaching. 
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