100年第2學期-4845 研究設計 課程資訊

評分方式

評分項目 配分比例 說明
作業及報告 40
期中考 30
期末考 30

選課分析

本課程名額為 70人,已有16 人選讀,尚餘名額54人。


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授課教師

劉家頤

教育目標

讓學生了解科學研究步驟中重要環節--研究設計之實際做法與重要性

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

McBurney, D.H., White, T.L., 2007, Research Methods, 7th Ed., Thomson Learning, Inc.

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