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2018　Statistics C

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Academic unit or major
Humanities and social science courses
Instructor(s)
Kezuka Kazuhiro 
Class Format
Lecture     
Media-enhanced courses
Day/Period(Room No.)
Mon5-6(南4号館3階 情報ネットワーク演習室　第1演習室)  Thr5-6(南4号館3階 情報ネットワーク演習室　第1演習室)  
Group
-
Course number
LAH.T301
Credits
2
Academic year
2018
Offered quarter
4Q
Syllabus updated
2018/4/12
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

This course provides the basic tools to analyze micro-data in social sciences with the software for statistical analysis R. This course focuses the basic concepts of statistics (descriptive statistics, test, estimation, cross table, variance analysis, correlation, regression, logistic regression, etc.). Through this course, students learn how interpret results of analysis in social science.

Student learning outcomes

By the end of this course, students will be able to:
1) Understand the basic tools to analyze microdata in social sciences.
2) Analyze microdata with R.
3) Provide presentation their result of analysis.

Keywords

Quantitative sociology, Statistics, Software for statistical analysis R

Competencies that will be developed

✔ Specialist skills Intercultural skills Communication skills ✔ Critical thinking skills ✔ Practical and/or problem-solving skills

Class flow

Computer exercise

Course schedule/Required learning

  Course schedule Required learning
Class 1 Quantitative analysis in social sciences Understand the nature of quantitative analysis in social sciences.
Class 2 Descriptive statistics Understand descriptive statistics and acquire analytical skills.
Class 3 Estimation and test Understand estimation and test, and acquire analytical skills.
Class 4 Cross table Understand cross table and acquire analytical skills.
Class 5 Variance analysis Understand variance analysis and acquire analytical skills.
Class 6 Correlation Understand correlation and acquire analytical skills.
Class 7 Regression: single and multiple regression analysis Understand regression and acquire analytical skills.
Class 8 Regression: dummy variable and interaction Understand dummy variable and interaction in regression.
Class 9 Logistic regression Understand logistic regression and acquire analytical skills.
Class 10 Ordered logistic regression Understand ordered logistic regression and acquire analytical skills.
Class 11 Multinomial logistic regression Understand multinomial logistic regression and acquire analytical skills.
Class 12 Multilevel analysis Understand multilevel analysis and acquire analytical skills.
Class 13 Presentation Presentation
Class 14 Presentation Presentation
Class 15 Presentation Presentation

Textbook(s)

Textbooks will be specified by the instructor.

Reference books, course materials, etc.

Materials will be specified by the instructor.

Assessment criteria and methods

Students' course scores are based on class reports 50% and the final presentation 50%.

Related courses

  • LAH.T101 ： Statistics A
  • LAH.T201 ： Statistics B

Prerequisites (i.e., required knowledge, skills, courses, etc.)

Students require the basic knowledge of statistics.

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