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院・心 2単位 前期月5
担当教員 石井(秀)
科目名 計量心理学研究I EDUPA6101J
Seminar on Psychometrics I
高専人科目名 計量心理学I EDUPP6101J
Psychometrics I
概要
Data analysis ability has become more important in societies. This course deals with several fundamental concepts in psychometrics, educational measurement, and statistics. We do NOT focus on remembering data analysis technique, but on understanding thoughts and principles behind them. It will provide you the insight of how you should obtain data, analyze them, and derive conclusions.
There are a lot of topics we recommend you to study. In this semester, we will focus on TEST DEVELOPMENT.
到達目標
You will be able to; understand the importance of appropriate measuring, write good items following guidelines, and compose scales or tests which measure what you want to.
授業の内容
You will read textbooks, articles, or materials relating to the focused topic.
In each session, some of you will make brief presentations following discussions. Materials are partitioned into small parts and assigned to every student who needs a credit, so many of you will provide presentations in one session.
It is necessary to prepare resumes and hand them out to all attendants. Resumes should be written in English or Japanese.
In the case that many students take this course, small group activities may also be utilized.
教科書
Haladyna, T. M., & Rodriguez, M. C. (2013). Developing and validating test items. Routledge.
Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, phone, mail, and mixed-mode surveys: The tailored design method (4th ed.). Hoboken, NJ: John Wiley & Sons, Inc.
参考書・参考資料
Announced if necessary
成績評価方法
Heuristic evaluation of follows: quality of presentations, resumes, and degrees of contribution to discussions.
履修条件
You are required to have learned introductive statistics and psychometrics such as mean, standard deviation, correlation coefficient, statistical testing, point and interval estimation, simple linear regression analysis, and reliability and validity. You don't have to have deep knowledge about further statistics such as multivariate data analysis.
その他の注意 ※英語による授業
As you may have noticed, this class is held in English. You are expected to use English in the whole course. Presentations and discussions should be provided in English. However, you can also use your native language if it helps most students.
If you do not understand what is discussed or cannot find right words, do not hesitate to ask. Other attendants will help you.
Most of us are not native English speakers including the course instructor. So, we do not expect you to speak perfect English. You do not also have to care about grammar so much. The important thing is to get familiar with using English in the classroom. Take it easy!
English levels are not the same between students. So, you have to pay respect to all other students. We do not expect that few of you speak actively and many of you stay calm. All attendants should have the equal opportunity to participate in the class.