統計方法與資料分析

Statistical Methods and Data Analysis

學期

107-2

學分

0 學分

當期課號

5488

永久課號

IMS5522

開課單位

管理科學系

授課教師

陳姵樺

校區

光復

類別

選修

上課時間表

節	週五
5 13:20–14:10	統計方法與資料分析 M104（光復） 3 節連堂
6 14:20–15:10
7 15:30–16:20

* 根據陽明交大上課時間表所列

概述

The objective of this course is to introduce basic concepts in regression analysis and analysis of variance and learn how to use statistical packages to perform statistical analysis for research. Additional topics related to path analysis such as mediation and moderation analysis will be introduced. Students will also read journals to understand how to analyze quantitative data.

先修科目

統計學 Introduction to Statistics or equivalent

備註

無備註

教學方式

Software: R will be used Late homework won’t be accepted. Teaching Assistant: phantheanh.ms05g@nctu.edu.tw (Please notify the lecture and the teacher assistant if you are not able to attend a class.)

評分方式

Homework: Group article summary: several articles will be distributed to discuss in class. Doctoral Students: Homework 30%, article summary 20%, Attendance and participation 10%, article presentation 10%, Two Exams 30% Master’s Students: Homework 40%, Group article summary 20%, Attendance and participation 10%, Group article presentation 10%, Midterm Exam 20%

課程大綱

1.Simple Regression 2.Multiple Regression 3.Logistic Regression 4.ANOVA 5.ANCOVA

週次計畫

週次	主題
第 0 週
第 1 週	Introduction and Review 2/22
第 2 週	Holiday 3/1
第 3 週	Linear Regression with OnePredictor Variable Inferences in Regression and Correlation Analysis 3/8
第 4 週	Inferences in Regression and Correlation Analysis Diagnostics and Remedial Measures 3/15
第 5 週	Matrix Approach to Simple Linear Regression Analysis 3/22
第 6 週	Multiple Regression 3/29
第 7 週	Spring Break 4/5
第 8 週	Midterm Exam 4/12
第 9 週	Multiple Regression 4/19
第 10 週	Regression Models for Quantitative and Qualitative Predictors 4/26
第 11 週	Logistic Regression and Generalized Linear Models 5/3
第 12 週	Path Analysis 5/10
第 13 週	One factor Analysis of Variance Analysis of Factor Level Means 5/17
第 14 週	Two-factor studies 5/24
第 15 週	Analysis of Covariance 5/31
第 16 週	Holiday 6/7
第 17 週	Final Exam 6/14

教科書

Required: Kutner, M. H., Nachtsheim, C. J., Neter, J., and Li, W. (2005) Applied Linear Statistical Models with Student CD, 5th Edition, McGraw-Hill/Irwin (華泰文化) Recommended: 1. Kline, B. R. (2010) Principles and Practice of Structural Equation Modeling, 3rd Edition, The Guilford Press 2. Hayes, A. F. (2013) Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach, 1st Edition, The Guilford Press Supplemental journal articles: Hayes, A. F., & Preacher, K. J. (2013). Conditional process modeling: Using structural equation modeling to examine contingent causal processes. In G. R. Hancock and R. O. Mueller (Eds.) Structural equation modeling: A second course (2nd Ed). Charlotte, NC: Information Age Publishing

Office Hours

地點: M309
時間: after class or by appointment
聯絡方式: paulachen@g2.nctu.edu.tw