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課程名稱 |
實驗設計
Experimental Design |
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開課學期 |
101-1 |
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授課對象 |
理學院 心理學研究所 |
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授課教師 |
徐永豐 |
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課號 |
Psy7001 |
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課程識別碼 |
227 M1220 |
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班次 |
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學分 |
3 |
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全/半年 |
半年 |
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必/選修 |
必修 |
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上課時間 |
星期三2,3,4(9:10~12:10) |
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上課地點 |
北館N206 |
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備註 |
外系需面談後取得授權碼
總人數上限：50人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1011ExpDesignPsy |
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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 |
In this course we will cover issues related to designs and analysis of experiments used in psychological research. Students will have the opportunity to apply important quantitative reasoning skills related to research in the behavioral sciences.
Topics include completely randomized designs, randomized block designs, repeated measures designs, latin square, hierarchical designs, split-plot designs, etc. Statistical principles and analysis (such as power and planned comparison) also will be discussed.
Problem sets will be assigned once a while and are due a week later on Wednesday at the beginning of class. No late homework, please.
TAKE-HOME READINGS AND CLASS PRESENTATION
In addition to the textbook, several take-home readings will be assigned to groups and will be discussed 1-2 weeks later. Students are required to give presentations in class. Class participation (including Q/A) is important.
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課程目標 |
The goal is to help students develop the following skills and abilities:
(1) Think critically about the application of experimental designs in psychological research;
(2) Understand and apply appropriate statistical analyses for different types of experimental designs.
(Note that learning to use computer software(s) as an analytic tool for experimental hypotheses is important, but it is not the main focus of this course.) |
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課程要求 |
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預期每週課後學習時數 |
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Office Hours |
每週四 15:00~17:00 |
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指定閱讀 |
Experimental design: Procedures for the behavioral sciences (4th ed., 2012) By
Roger E. Kirk |
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參考書目 |
Design and analysis: a researcher's handbook (4th ed., 2004) By Geoffrey Keppel
and Thomas D. Wickens
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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. |
Quizzes |
50% |
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2. |
Class presentation and participation |
5% |
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3. |
Midterm |
25% |
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4. |
Final exam |
25% |
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週次 |
日期 |
單元主題 |
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第1週 |
09/12 |
Overview |
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第2週 |
09/19 |
Sampling distribution; Chi-Square, t, F stats |
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第3週 |
09/26 |
Type I, Type II errors; Power (i) |
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第4週 |
10/03 |
(QUIZ); Power (ii) |
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第5週 |
10/10 |
(no class) |
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第6週 |
10/17 |
Effect size; Contrasts |
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第7週 |
10/24 |
Multiple comparison tests |
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第8週 |
10/31 |
(QUIZ); Trend analysis (i) |
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第9週 |
11/07 |
Trend analysis (ii); Full model vs. reduced model |
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第10週 |
11/14 |
The general Linear model approach; Randomized block design |
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第11週 |
11/21 |
(Midterm) |
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第12週 |
11/28 |
Two-way ANOVA (I) |
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第13週 |
12/05 |
Two-way ANOVA (II); Random effects vs. Fixed effects; Quasi F; ... |
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第14週 |
12/12 |
(QUIZ); Hierarchical (or nested) designs (I) |
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第15週 |
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Hierarchical (or nested) designs (II); Split-plot (or mixed) designs |
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第16週 |
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HLM; Mixed-effects models (I)
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第17週 |
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Three-way ANOVA; (Two-way) within-subject designs; Latin square designs
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第18週 |
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(Final exam) |
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