98年第2學期-4845 研究設計 課程資訊

課程分享

選課分析

本課程名額為 70人,已有20人選讀,尚餘名額50人。

評分方式

評分項目 配分比例 說明
Midterm exam 25
Final exam 25
Ongoing score 50 Ongoing includes short assignments, homework, term project and class participation

授課教師

林雅俐

教育目標

Course Objectives: We have three specific aims: � to provide an overview of research design and methodology � to analyze the data for statistical description, inferences, and interpretation � to introduce statistical computing techniques (SAS/SPSS/MINITAB/EXCEL)

課程概述

Course Description: Research is a process of formulating questions, problems, or hypotheses; collecting data or evidence relevant to these questions/problems/or hypotheses; and analyzing or interpreting these data. Independent thinking is a key component in your development as an excellent researcher. Only part of this development is accomplished in your preparation of a thesis/dissertation. Successful grant writing requires a certain degree of critical thinking, independent thinking, and last but not least, organization. The purpose of this course is to assist you in this development. It covers the entire research process including: formulating research questions; sampling (probability and nonprobability); measurement (surveys, scaling, qualitative, unobtrusive); research design (survey and experiment); data analysis; and, writing the research paper. It also addresses the major theoretical and philosophical underpinnings of research including: the idea of validity in research; reliability of measures; and ethics. There are some useful ways to generate research hypothesis including: (1) proving an intuitive impression, (2) putting other people’s theories to test, (3)reexamining other people’s conclusion, (4) repeating or modifying a previous study, (5) focusing on a detailed of a large study and combining it with another question, (6) use of a calibrated psychological tests, and (7) serendipitous discoveries. Course Objectives: We have three specific aims: � to provide an overview of research design and methodology � to analyze the data for statistical description, inferences, and interpretation � to introduce statistical computing techniques (SAS/SPSS/MINITAB/EXCEL) Contents of Teaching: Part I—Introduction � Problem setting � Literatures collection & review � Exploring environments via the Internet ※ Writing skills Part II—Data Collection & Design � Qualitative data � Quantitative data � Primary Data Collection – Sampling survey

課程資訊

參考書目

1. 廖柏森,The Handbook of Reasearch Paper Writing—英文研究論文寫作—關鍵字指引,眾文圖書股份有限公司,97年8月三版.
2. Agresti, A. (2007), An Introduction to Categorical Data Analysis, 2nd edition, John Wiley & Sons, Inc. (華泰文化有限公司代理)