CC520303 Psychological Statistics I

Hiroshima University Syllabus

Japanese

Academic Year 2024Year School/Graduate School School of Education

Lecture Code CC520303 Subject Classification Specialized Education

Subject Name 心理学統計法I

Subject Name
（Katakana）シンリガクトウケイホウI

Subject Name in
English Psychological Statistics I

Instructor NAKAO TAKASHI

Instructor
(Katakana) ナカオ　タカシ

Campus Higashi-Hiroshima Semester/Term 2nd-Year,  First Semester,  2Term

Days, Periods, and Classrooms (2T) Fri1-4：EDU K203

Lesson Style Lecture Lesson Style
(More Details) 　

Lecture based on materials provided in class and with PowerPoint

Credits 2.0 Class Hours/Week 　 Language of Instruction J : Japanese

Course Level 2 : Undergraduate Low-Intermediate

Course Area（Area） 24 : Social Sciences

Course Area（Discipline） 06 : Psychology

Eligible Students Students in Program in Psychology, Required course

Keywords Psychology, Description Statistic, Variable and scale, Representative value and irrelevance,  Population and sample, Inferential statistic, Testing of statistical hypothesis

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) Psychology
（Abilities and Skills）
・To acquire the basic ability and skills to conduct a research.

Class Objectives
/Class Outline By the end of this course, students should be able to
1. Describe the outline of the statistic methods used in Psychology
2. Understand and use the basic mothods of statistics, and be able to interplet the data.

This class provides students with the opportunity to learn basic skills and understandings for statistic methods used in Psychology

Class Schedule Lesson 1　Orientation： Significance of psychological statistics.
Lesson 2　Scale and measurement
Lesson 3　One-variable statistical analysis  （1）：frequency distribution
Lesson 4　One-variable statistical analysis （2）：representative value
Lesson 5　One-variable statistical analysis（3）：dissemination, skewness, and kurtosis of distribution
Lesson 6： One-variable statistical analysis （4）：normalization and  probability distribution
Lesson 7： Basics of inferential statistics（1）：population, sample and sampling distribution
Lesson 8： Basics of inferential statistics（2）：Point and Interval Estimation
Lesson 9：When the population distribution is not normally distributed: Central Limit Theorem and nonlinear transformations
Lesson 10：Basics of statistical hypothesis testing（1）：procedure of statistical tests
Lesson 11: Basics of statistical hypothesis testing（2）：Terminology Related to statistical tests
Lesson 12: Basics of statistical hypothesis testing（3）：types of statistical tests
Lesson 13: The comparison between the two conditions (1) : parametric methods
Lesson 14:The comparison between the two conditions (2) : non-parametric methods
Lesson 15: Summary

"Submit comment of every class.
Quiz is conducted at every unit contents of the class.
Term-end examination"

Text/Reference
Books,etc. No specific textbooks
Reference publications are introduced in class.

PC or AV used in
Class,etc. 　

(More Details) Materials provided in class, Screen image with PC, Audio materials, Please bring your own PC.

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review Review lecture materials and confer the reference books

Requirements Class relevant to subject: Civics (Philosophy, Ethics, Religious Studies, Psychology)

Grading Method Contents of comment sheets every time （Approx. 20％）, Quiz in lessons （Approx. 40％）, Term-end examination （Approx. 40％）

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message Please bring your own PC (Windows PC is recommended).
Don't you believe yourself, "I'm not good at subjects dealing with mathematics (statistics)." To remove such reconceived idea is also the one of the big objectives of this class. Be relaxed and work on it actively.

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.

Academic Year	2024Year	School/Graduate School	School of Education
Lecture Code	CC520303	Subject Classification	Specialized Education
Subject Name	心理学統計法I
Subject Name （Katakana）	シンリガクトウケイホウI
Subject Name in English	Psychological Statistics I
Instructor	NAKAO TAKASHI
Instructor (Katakana)	ナカオ　タカシ
Campus	Higashi-Hiroshima	Semester/Term	2nd-Year, First Semester, 2Term
Days, Periods, and Classrooms	(2T) Fri1-4：EDU K203
Lesson Style	Lecture	Lesson Style (More Details)
Lecture based on materials provided in class and with PowerPoint
Credits	2.0	Class Hours/Week		Language of Instruction	J : Japanese
Course Level	2 : Undergraduate Low-Intermediate
Course Area（Area）	24 : Social Sciences
Course Area（Discipline）	06 : Psychology
Eligible Students	Students in Program in Psychology, Required course
Keywords	Psychology, Description Statistic, Variable and scale, Representative value and irrelevance, Population and sample, Inferential statistic, Testing of statistical hypothesis
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)	Psychology （Abilities and Skills）・To acquire the basic ability and skills to conduct a research.
Class Objectives /Class Outline	By the end of this course, students should be able to 1. Describe the outline of the statistic methods used in Psychology 2. Understand and use the basic mothods of statistics, and be able to interplet the data. This class provides students with the opportunity to learn basic skills and understandings for statistic methods used in Psychology
Class Schedule	Lesson 1　Orientation： Significance of psychological statistics. Lesson 2　Scale and measurement Lesson 3　One-variable statistical analysis （1）：frequency distribution Lesson 4　One-variable statistical analysis （2）：representative value Lesson 5　One-variable statistical analysis（3）：dissemination, skewness, and kurtosis of distribution Lesson 6： One-variable statistical analysis （4）：normalization and probability distribution Lesson 7： Basics of inferential statistics（1）：population, sample and sampling distribution Lesson 8： Basics of inferential statistics（2）：Point and Interval Estimation Lesson 9：When the population distribution is not normally distributed: Central Limit Theorem and nonlinear transformations Lesson 10：Basics of statistical hypothesis testing（1）：procedure of statistical tests Lesson 11: Basics of statistical hypothesis testing（2）：Terminology Related to statistical tests Lesson 12: Basics of statistical hypothesis testing（3）：types of statistical tests Lesson 13: The comparison between the two conditions (1) : parametric methods Lesson 14:The comparison between the two conditions (2) : non-parametric methods Lesson 15: Summary "Submit comment of every class. Quiz is conducted at every unit contents of the class. Term-end examination"
Text/Reference Books,etc.	No specific textbooks Reference publications are introduced in class.
PC or AV used in Class,etc.
(More Details)	Materials provided in class, Screen image with PC, Audio materials, Please bring your own PC.
Learning techniques to be incorporated
Suggestions on Preparation and Review	Review lecture materials and confer the reference books
Requirements	Class relevant to subject: Civics (Philosophy, Ethics, Religious Studies, Psychology)
Grading Method	Contents of comment sheets every time （Approx. 20％）, Quiz in lessons （Approx. 40％）, Term-end examination （Approx. 40％）
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message	Please bring your own PC (Windows PC is recommended). Don't you believe yourself, "I'm not good at subjects dealing with mathematics (statistics)." To remove such reconceived idea is also the one of the big objectives of this class. Be relaxed and work on it actively.
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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