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課程名稱 |
心理統計學下
Psychological Statistics (2) |
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開課學期 |
114-2 |
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授課對象 |
神經生物與認知科學學程 |
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授課教師 |
彭昭英 |
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課號 |
Psy1014 |
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課程識別碼 |
207E12302 |
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班次 |
02 |
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學分 |
3.0 |
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全/半年 |
全年 |
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必/選修 |
必修 |
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上課時間 |
星期一5(12:20~13:10)星期三6,7,8(13:20~16:20) |
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上課地點 |
北館N206北館N206 |
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備註 |
本課程以英語授課。週一第5節為實習課，修課同學請預留時間。有意申請轉輔雙心理系者歡迎選修。
總人數上限：35人 |
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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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課程概述 |
This is the second course in a two-semester course series on statistics applied to psychology/social sciences. It is designed primarily for undergraduates who anticipate future applications of statistical methods. Topics covered in this course include a review of one-way analysis of variance, two-way analysis of variance, interactions, correlation coefficients, linear regression analyses, chi-square test of goodness of fit, chi-square test of equal proportions, chi-square test of independence, and non-parametric tests. Prerequisite of this course is mastery of materials covered in the first course of the two-semester series and Excel basic commands. |
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課程目標 |
1. To acquire advanced skills necessary for applying statistical principles of inference to well-defined psychological and educational research;
2. To enhance statistical thinking, reasoning, literacy, attitudes, and beliefs;
3. To be able to critically evaluate manuscripts in which statistical techniques covered in this course were applied; and
4. To carry out numerical analyses of data by a calculator (e.g., Casio fx-260), Excel, JASP, or others. |
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課程要求 |
For each topic covered in this course, exercises and readings taken from textbooks or other sources are assigned. Students are expected to be up-to-date on assigned readings and exercises since class time is structured around in-depth understanding of statistical concepts and applications.
Activities that typically take place in the labs include, but are not limited to: (a) clarification of lectures, (b) answering questions related to homework, assigned readings, inclass exams, or any administrative aspect of the course, and (c) instruction on basic Excel/JASP commands and execution.
Student’s performance in this course will be evaluated based on five homework assignments (20%), three inclass exams (20% each and 60% for all three), and lab performance (實習課程20%). Specific scope and format of these assessment mechanisms are announced later in class. |
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預期每週課前或/與課後學習時數 |
For each hour spent in the class, students should plan on spending 3 hours to review or preview assigned readings and homework. |
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Office Hours |
另約時間 備註： The instructor is available immediately after each Wednesday class or labs on Mondays in Psychology N206. Otherwise, you can email Dr. Peng at peng.cyj@gmail.com for individual appointments.
TAs' office hours are immediately after Monday's labs. |
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指定閱讀 |
Howell, D. C. (2017). Fundamental statistics for the behavioral sciences (9th ed.,), Cengage Learning.
https://www.uvm.edu/~statdhtx/fundamentals9/index.html (on reserve in NTU main & 圖資系libraries)
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參考書目 |
Howell, D. C. (2013). Statistical methods for psychology (8th ed.,), Wadsworth, Cengage Learning.
https://www.uvm.edu/~statdhtx/methods8/ (on reserve in the NTU main library) |
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
five homework assigments |
20% |
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2. |
three inclass exams |
60% |
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3. |
lab performance |
20% |
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- 本校尚無訂定 A+ 比例上限。
- 本校採用等第制評定成績，學生成績評量辦法中的百分制分數區間與單科成績對照表僅供參考，授課教師可依等第定義調整分數區間。詳見學習評量專區 (連結)。
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針對學生困難提供學生調整方式 |
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上課形式 |
以錄音輔助 |
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作業繳交方式 |
學生與授課老師協議改以其他形式呈現 |
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考試形式 |
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其他 |
由師生雙方議定 |
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週次 |
日期 |
單元主題 |
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第1週 |
2/23,2/25 |
Orientation to this course
1. Review of one-way ANOVA and Tukey's test of pairwise mean differences |
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第2週 |
3/02,3/04 |
2. Two-way ANOVA |
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第3週 |
3/09,3/11 |
3. Comparisons of pairwise means and interpreting interactions in two-way ANOVA |
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第4週 |
3/16,3/18 |
4. Pearson and Spearman correlation coefficients |
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第5週 |
3/23,3/25 |
5. Point-biserial, biserial, and tetrachoric correlation coefficients |
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第6週 |
3/30,4/01 |
Review for Exam I (3/30)
Exam I (4/1) |
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第7週 |
4/06,4/08 |
6. Simple regression analysis
Review of Exam I keys and results on 4/8 immediately after the class in Psychology N 206
No lab on 5/6 |
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第8週 |
4/13,4/15 |
6. Simple regression analysis (continued)
7. Multiple regression analysis and coding of a categorical predictor |
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第9週 |
4/20,4/22 |
7. Multiple regression analysis and coding of a categorical predictor (continued) |
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第10週 |
4/27,4/29 |
8. Chi-square test of goodness of fit |
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第11週 |
5/04,5/06 |
Review for Exam II on 5/4
Exam II on 5/6 |
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第12週 |
5/11,5/13 |
9. Chis-square test of independence
Review of Exam II keys and results on 5/11 |
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第13週 |
5/18,5/20 |
10. Chi-square test of independence (continued)
11. Introduction to nonparametric tests/methods |
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第14週 |
5/25,5/27 |
12. What is multinomial distribution and how to use it in inferential statistics?
13. Normal approximation to binomial distribution
14. Relationship among four correlation coefficients |
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第15週 |
6/01,6/03 |
Review for Exam III (also final) on 6/1
Exam III on 6/3 |
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