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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/necessary-condition-analysis
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课程名称：必要条件分析（NCA） 课程概述：欢迎参加必要条件分析（NCA）课程。本课程使用必要性逻辑分析数据。在这种逻辑下，一个必要条件意味着如果该条件不存在，结果必然会失败。然而，反之不成立；如果该条件存在，结果的成功并不一定得到保证。例如，博士项目的入学可能要求学生的GMAT分数，如果分数过低，则不可能被录取。 课程大纲： 第1周 - NCA简介：由NCA创始人简·杜尔教授带领，介绍必要性逻辑和NCA的重要性，以及它与其他逻辑（如布尔逻辑和加法逻辑）的区别。学生将了解NCA的基本概念和优势。 第2周 - NCA研究的设置：本周将指导您如何设置NCA研究，包括必要条件假设的形成以及采样与测量的一般研究实践。完成本周后，您将能够开始使用NCA进行研究。 第3周 - 使用NCA的数据分析：学习如何在统计计算与图形编程语言R中运行NCA。重点包括如何识别散点图中的空白区域，并解释分析结果（如效应大小和p值）。本周还提供NCA实践机会。 第4周 - NCA结果的报告：学习如何将您完成的NCA结果用令人信服的方式呈现，并反思该方法的优缺点。 第5周 - NCA的高级主题：在课程的最后一周，您将挑战更高级的主题，包括分析散点图中的其他角落、异常值分析、小样本案例研究或定性研究中的NCA及与QCA的不同之处。结束时，您将更深入理解NCA分析，并能够开始自己的NCA研究！ 该课程旨在帮助您掌握必要条件分析的基础知识和实用技能，为您的研究提供强有力的支持。
Name:Week 1 - Introduction to Necessary Condition Analysis
Description:Professor Jan Dul, founder of NCA, welcomes you and starts off with a quick introduction of necessity logic and Necessary Condition Analysis (NCA). The first week will explain necessity logic, why it is important and how it is different from other sorts of logic such as Boolean and additive logic. Furthermore, the basics of NCA and its benefits are explained. We invite you to go through the videos and readings to improve your understanding of necessity logic and NCA.
Name:Week 2 - Setting up an NCA study
Description:In week 2 you will be guided through the process of setting up an NCA study. First, you will deep dive into the formulation of necessary condition hypotheses that can be analyzed with NCA. Next, general research practices of sampling and measurement will be discussed. After this week you will be able to start conducting research with NCA.
Name:Week 3 - Data analysis with NCA
Description:In this module, you will examine how an NCA is ran in R, a programming language for statistical computing and graphics. Key elements will be explained such as the identification of the empty spaces in scatter plots. Once you can run an NCA in R, it is important to be able to interpret the results of the analysis, such as the effect size and the p-value. This week will also provide you an opportunity to practice with NCA.
Name:Week 4 - Reporting the results of NCA
Description:After finishing the first three weeks of this MOOC, you are now able to conduct an NCA. Crucial to every research method is getting across the message of your research. This module will therefore explain how you can convincingly report the results of your NCA study and reflect on the strengths and the weaknesses of the method.
Name:Week 5 - Advanced Topics of NCA
Description:In this final week of the NCA MOOC, you will be challenged with the more advanced topics. The short videos will cover topics like analyzing other corners in the scatter plot, analyzing outliers approach, how to conduct NCA in small N cases study or qualitative research and how is NCA different from QCA. After finishing this week you will have a more enhanced understanding of the analysis and moreover, will be able to start on your own NCA research!
Welcome to Necessary Condition Analysis (NCA). NCA analyzes data using necessity logic. A necessary condition implies that if the condition is not in place, there will be guaranteed failure of the outcome. The opposite however is not true; if the condition is in place, success of the outcome is not guaranteed. Examples of necessary conditions are a student’s GMAT score for admission to a PhD program; a student will not be admitted to a PhD program when his GMAT score is too low. Intellige
