Academic Year |
2024Year |
School/Graduate School |
School of Education |
Lecture Code |
CC520404 |
Subject Classification |
Specialized Education |
Subject Name |
心理学統計法II |
Subject Name (Katakana) |
シンリガクトウケイホウII |
Subject Name in English |
Psychological Statistics II |
Instructor |
NAKAO TAKASHI |
Instructor (Katakana) |
ナカオ タカシ |
Campus |
Higashi-Hiroshima |
Semester/Term |
2nd-Year, Second Semester, 3Term |
Days, Periods, and Classrooms |
(3T) Fri1-4:EDU K203 |
Lesson Style |
Lecture |
Lesson Style (More Details) |
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Lecture based on materials provided in class and presentation materials with PC, Practical with PC |
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 |
Method of psychology research, Inferential statistic, Testing of statistical hypothesis, Variance analysis, correlation analysis, regression analysis , multivariable analysis |
Special Subject for Teacher Education |
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Special Subject |
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Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students) | |
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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 and review of Statistical Methods in Psychological Research I Lesson 2:ANOVA, Kruskal-Wallis test Lesson 3:Multiple comparisons, one-way ANOVA, Friedman's test Lesson 4:two-way ANOVA, main effects, and interactions Lesson 5: Three-way ANOVA Lesson 6:Supplemental explanation about the inferential statistics Lesson 7: Relationship between two variables(1):scatter diagram and correlation coefficient Lesson 8: Relationship between two variables (2): rank correlation and coefficient of association Lesson 9: Relationship between two variables (3): regression analysis Lesson 10: Multivariate analysis (1): Partial correlation, multiple regression analysis Lesson 11: Multivariate analysis (2): covariance analysis, multilevel analysis Lesson 12: Multivariate analysis (3): path analysis, mediation analysis Lesson 13: Multivariate analysis (4): cluster analysis, principal component analysis Lesson 14: Multivariate analysis (5): factor analysis, SEM 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. |
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(More Details) |
Materials provided in class. Please bring your own PC. |
Learning techniques to be incorporated |
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Suggestions on Preparation and Review |
Review the lecture information and confer the reference book. |
Requirements |
"Desirable to have taken Statistical Methods in Psychological Research I. 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 |
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Summary of Practical Experience and Class Contents based on it |
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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 |
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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. |