99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19人選讀,尚餘名額51人。

評分方式

評分項目 配分比例 說明
Classroom presentations. 30
Classroom tests. 30
Term paper. 40

授課教師

劉家頤

教育目標

為求修習者明瞭現代統計學在現代科學研究設計中所扮演之重要角色,進而藉由科學研究之法則及實際論文之研讀與習作,獲取獨力進行科學研究之能力及經驗。本課程主要工作有以下四項:一、研究設計與研究方法論要點講授。二、資料之分析、推演、與闡述之原則探討。三、統計電腦軟體之使用。四、論文研讀及模擬演練。

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

The textbook is still under review.