Statistics for Researchers: Understanding Mediation, Moderation and Beyond

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课程主页: https://www.coursera.org/archive/uva-darden-understanding-data-tools

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课程简介

University of Virginia

课程大纲

Welcome to the first week of our research methods course! We'll start with mediation analysis, following by parallel mediation, serial mediation, and moderation. Mediation is all about the mechanisms connecting the independent variable and dependent variable. Moderation refers to the circumstances under which the independent variable influences the dependent variable. By the end of this week, you will know how, when, and where the independent variable influences the dependent variable and how to theorize and conduct analysis using SPSS.

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课程详情

Are you trying to understand data from your research? Learn how and when to conduct mediation, moderation, and conditional indirect effects analyses? Or, perhaps, how to theorize and test your theoretical models? If so, this is the course for you! We will walk you through the steps of conducting multilevel analyses using a real dataset and provide articles and templates designed to facilitate your learning. You'll leave with the tools you need to analyze and interpret the results of the datasets you collect as a researcher. By the end of this course, you will understand the differences between mediation and moderation and between moderated mediation and mediated moderation models (conditional indirect effects), and the importance of multilevel analysis. Most important, you will be able to run mediation, moderation, conditional indirect effect and multilevel models and interpret the results. Note: This course is based on Version 2 of SPSS. You can still apply it to the latest version, but it’s no longer an exact match to the current interface. This course is supported by the BRAD Lab at the Darden School of Business, which studies organizational behavior, marketing, business ethics, judgment and decision-making, behavioral operations, and entrepreneurship, among other areas. More: http://www.darden.virginia.edu/brad-lab/

研究人员的统计数据:理解中介,调节和超越:您是否想了解研究数据?了解如何以及何时进行调解,调节和条件间接影响分析?或者,也许如何理论化和测试您的理论模型?如果是这样,这就是您的课程!我们将引导您完成使用实际数据集进行多级分析的步骤,并提供旨在帮助您学习的文章和模板。您将拥有分析和解释作为研究人员收集的数据集结果所需的工具。 在本课程结束时,您将了解调解和调解之间以及主持人的调解模型与调解模型之间的区别(条件间接效应),以及多级分析的重要性。最重要的是,您将能够运行调解,调节,有条件的间接影响和多层模型并解释结果。 注意:本课程基于SPSS版本2。您仍然可以将其应用于最新版本,但不再与当前界面完全匹配。 该课程由达顿商学院的BRAD实验室提供支持,该实验室研究组织行为,市场营销,商业道德,判断和决策,行为运营以及企业家精神等领域。更多:http://www.darden.virginia.edu/brad-lab/

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