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課程名稱 |
統計方法
Statistics in Language Studies |
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開課學期 |
108-1 |
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授課對象 |
文學院 語言學研究所 |
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授課教師 |
馮怡蓁 |
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課號 |
LING7008 |
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課程識別碼 |
142EM0220 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
第1,2,3,4,5,6,7,8,9,10,11,12,13,14 週
星期五2,3,4,5(9:10~13:10) |
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上課地點 |
博雅308 |
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備註 |
本課程以英語授課。密集課程。9:30-13:10上課。
總人數上限：12人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1081LING7008_ |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
待補 |
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課程目標 |
This course intends to provide an overview of statistics used in linguistic experiments. Topics covered include research ethics, problem identification and hypothesis formation, variable determination, hypothesis testing, external validity, and format in research report. |
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課程要求 |
Grading
Your final grade for this course will be based on the total number of points you accumulate during the semester. There will be NO curving. You will be evaluated according to the following criteria:
Participation 5%
Quiz 5%
Lab 10%
Exam 1 15%
Exam 2 20%
Exam 3 25%
Project 20%
Participation
As many of you are already aware of how notorious this class is, it should be intuitive to you that classroom participation is the key to the success of this course. Please help me make this course better by giving me your input in class and also outside the classroom. I would really appreciate it if you could all actively participate in classroom activities and discussions.
Quizzes
Except for the first week, quizzes will be administered at the beginning of each meeting session and will cover the required reading texts for that session, which I will assume that you have already read prior to class meetings. Please do not be excessively anxious about the quizzes, as they are meant to be simple checks for common basis, rather than detailed exams. They will be graded as pass/fail only and the passing grade is 70%. There will be no make-up quizzes, as we will go over them right afterwards.
Lab
The lab is designed to reinforce the material covered in the lecture portion. Through labwork, you will begin to apply the statistical methods you learn in lectures. You will also be introduced to the computer program R. Lab is intended to give you the opportunity to bring up any questions about the material covered in the reading, homework, or lectures.
Exams
There are three exams in total. No make-up exams can be given except in the case of death in the family or dire documented medical emergencies. Any other reasons for a make-up exam would only be possible if prior consent from the instructor is obtained. All exams are non-cumulative. Please view exams only as a way to help me assess how well we have been doing.
Course project
You are required to turn in a set of statistical analyses on your research project. The project does not have to be fully completed, but the data have to be authentic. You are required to apply what we have covered in class and select appropriate analyses for your data. You will be given a 20-min presentation time slot on 1/3 for oral report—12 min for the actual presentation itself, and 3 min for questions and answers (The actual time slot may be subject to change according to class size). During this time-slot, you are to defend the statistical analyses you choose and highlight whatever significant findings you have found in your study. You can use whatever media you please but the style of presentation should be formal. You will be graded on both your presentation skills and audience responses, in addition to the content. The written report is due on 1/10 , Thursday, at 5:00p. 10% of the
grades will be deducted for each late day. It should be no more than a 10-paged, double-spaced, polished report incorporating the comments you have gathered in the presentation. The report should follow a formal format, and should include appropriate graphs, statistical details, and adequate interpretations.
A note on collaboration
Students often find it helpful to form study groups with classmates to discuss the reading and exercises each week. The course instructor encourages such cooperative study habits.
However, each student must work independently in writing up all homework assignments, lab, and the project report. |
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預期每週課後學習時數 |
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Office Hours |
另約時間 |
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指定閱讀 |
Pagano, R. R. 2013. Understanding Statistics in the Behavioral Sciences. Wadsworth Publishing. 10th edition. (Available at 雙葉書廊 TEL: 2368-4198, Address: 台北市羅斯福路三段269巷12號1樓) |
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參考書目 |
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評量方式
(僅供參考) |
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週次 |
日期 |
單元主題 |
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第2週 |
9/20 |
Introduction (syllabus如附檔)
Statistics and scientific method
Basic mathematical and measurement concepts / Ch1-2 |
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第3週 |
9/27 |
Frequency distribution
Measures of central tendency and variability
The normal curve and standard scores / Ch3-5 |
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第4週 |
10/04 |
Correlation
Linear regression / Ch6-7
*Note time change: 9:20-13:00 |
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第5週 |
10/11 |
Bridge holiday — No class! |
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第6週 |
10/18 |
Exam 1 (Ch1-7)
Random sampling and probability
Binomial distribution / Ch8-9 |
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第7週 |
10/25 |
Hypothesis testing using the sign test
Power
Sampling distributions and sampling distribution of the mean
z test / Ch10-12 |
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第8週 |
11/01 |
Single sample t test
Independent t test and paired t -test / Ch13-14 |
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第9週 |
11/08 |
Exam 2 (Ch8-12)
One-way ANOVA / Ch15 |
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第10週 |
11/15 |
University’s Anniversary — No class! |
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第11週 |
11/22 |
Two-way ANOVA
Chi-square and other nonparametric tests / Ch16-18 |
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第12週 |
11/28-29 |
First NTü workshop |
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第13週 |
12/06 |
Exam 3 (Ch13-18)
Note time change: 10:30-12:20 |
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第14週 |
12/13 |
Project |
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第15週 |
12/20 |
Project |
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第16週 |
12/27 |
Project |
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第17週 |
1/03 |
CP: Presentation |
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第18週 |
01/10 |
CP: Final Report |
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