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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/research-instruments-and-research-hypotheses
课程评论：没有评论
课程名称: 研究工具与研究假设 概述: 本课程重点关注不同研究工具的设计与开发。内容涵盖研究工具设计策略、测量尺度及研究报告的组成部分。课程开始时探讨问卷开发过程，重点在于问卷设计、问题类型及措辞、预测试与修订。接着，我们将讨论测量尺度的识别和操作化，以及在线问卷的设计。课程还将考虑测量差异的来源及测量可靠性的评估。关于测量有效性及其各种类型，态度测量也会得到探讨。此外，课程将介绍数据准备与处理、数据编码、调整及使用多变量数据方法进行数据分析。我们将探讨频率分布及位置、变异性和形状的测量。最后，课程将讨论假设检验和与交叉表相关的统计分析，深入研究参数检验与非参数检验在假设检验与分组比较中的应用，以及研究报告的不同部分。 课程大纲： 1. 第一周：本周重点讨论问卷开发过程，包括问卷设计、问题类型与措辞、预测试与修订，并讨论测量尺度的识别与操作化及在线问卷的设计。 2. 第二周：本周开始于测量差异的来源及测量可靠性评估，接着探讨测量有效性及各种有效性类型，最后讨论态度测量。 3. 第三周：本周专题为数据准备与处理，讨论数据编码、调整和使用多变量数据方法进行数据分析，结束于频率分布及位置、变异性与形状的测量。 4. 第四周：本周的主题为假设检验和与交叉表相关的统计分析，讨论参数与非参数检验在假设检验和分组比较中的应用，并探索研究报告的不同部分。
Part: 1
Title:Week 1
Description:This week focuses on the questionnaire development process with a focus on questionnaire design, question type and wording, pretesting and revising. The week ends with a discussion regarding identification of scales of measurement and operationalisation and design of an online questionnaire.
Part: 2
Title:Week 2
Description:The week commences with a discussion on sources of measurement differences, and the assessment of reliability of measurements. The issue of validity of measurements is discussed and the various types of validity are discussed. The week ends with a discussion of attitude measurement.
Part: 3
Title:Week 3
Description:The week commences with a discussion on data preparation and processing. We are going to discuss data coding, adjustment, and data analysis using multivariate data approaches. The week ends with an exploration of frequency distribution and measures of location, variability and shape.
Part: 4
Title:Week 4
Description:The week commences with a discussion on hypothesis testing and the use of statistics relevant to cross tabulations. We will discuss parametric and non-parametric tests in hypothesis testing and group comparison. The week ends with an exploration of the different sections of the research report.
This course concentrates on the design and development of different research instruments. In this vein, the focus will be placed on the development of an instrument design strategy, scales of measurement and the components of the research report. The course begins by looking at the questionnaire development process with a focus on questionnaire design, question type and wording, pretesting and revising. We will consider the identification of scales of measurement and operationalisation, and the design of an online questionnaire. We are going to discuss sources of measurement differences, and the assessment of the reliability of measurements. The issue of the validity of measurements and the various types of validity will also be explored, as well as attitude measurement. We will discuss data preparation and processing, data coding, adjustment, and data analysis using multivariate data approaches. We are also going to explore frequency distribution and measures of location, variability and shape. The course ends with a discussion on hypothesis testing and the use of statistics relevant to cross-tabulations. We will discuss parametric and non-parametric tests in hypothesis testing and group comparison as well as the different sections of the research report.
