面向研究人员的统计:了解调解、调节和超越

Statistics for Researchers: Understanding Mediation, Moderation and Beyond

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弗吉尼亚大学
Coursera
  • 完成时间大约为 9 个小时
  • 初级
  • 英语
注:本课程由Coursera和Linkshare共同提供,因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Mediation, moderation, moderated mediation and mediated moderation models (conditional indirect effects), and multilevel analysis

How to run mediation, moderation, conditional indirect effect and multilevel models and interpret the results

课程概况

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/

课程大纲

Mediation and Moderation

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.

Conditional Indirect Effects

Now that you know more about mediation and moderation, let's take a look at conditional indirect effects models, which are a combination of mediation and moderation models. First we will get to the heart of the differences between moderated mediation and mediated moderation models.This will allow you to fully understand the relationships between independent variables and dependent variables. By the end of the module, you will be able to theorize about conditional indirect effect models on SPSS and to test which path of the mediation model is affected by the moderator. Then you'll dive into SPSS, run different models, and learn how to interpret the results.

Multilevel Analysis

Now that you know how to run mediation, moderation, and conditional indirect effect analyses, we can turn our attention to multilevel models. Multilevel models are statistical models of parameters that vary at more than one level. Think about employees nested in departments, or departments nested in firms. You will learn the importance of multilevel analysis to your research and get familiar with multilevel analysis language. By the end of this module, you will be able to use HLM software to run multilevel models and interpret the results.

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