Understanding Your Data: Analytical Tools

About this course: 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. 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/

Who is this class for: This course is designed for first or second year PhD students and people interested in research methods. Prior SPSS knowledge is a plus, but we will walk you through all the steps when using SPSS to run our analyses.

Created by:  University of Virginia

• Taught by:  Cristiano Guarana, Post-doctoral Researcher

  Darden School of Business

Level Beginner Language English Hardware Req You will need SPSS to open the provided dataset and HLM to run multilevel analysis. How To Pass Pass all graded assignments to complete the course. Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Syllabus


WEEK 1


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.


9 videos, 1 reading expand

1. Video: Course Overview
2. Reading: Course Overview and Requirements
3. Discussion Prompt: Say hello!
4. Video: What is Mediation?
5. Video: Introduction to SPSS
6. Video: Running a Mediation Model
7. Video: Conducting a Parallel Mediation Analysis
8. Video: Conducting Serial Mediation Analysis
9. Video: Moderation Overview
10. Video: Conducting Moderation Analysis: Understanding the Outputs
11. Video: Conducting Moderation Analysis: Plotting Interactions

Graded: Week 1 Quiz on Mediation and Moderation

WEEK 2


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.


9 videos expand

1. Video: Conditional Indirect Effects: Mediated Moderation Models
2. Video: Testing Mediated Moderation Models: Steps 1-2
3. Video: Testing Mediated Moderation Models: Steps 3-5
4. Video: Moderated Mediation Models Overview
5. Video: Testing First Stage Moderated Mediation Models
6. Video: Second Stage Moderated Mediation Models Overview
7. Video: Testing Second Stage Moderated Mediation Models
8. Video: Dual Stage Moderated Mediation Models Overview
9. Video: Testing Dual Stage Moderated Mediation Models
10. Discussion Prompt: Questions?

Graded: Week 2 Quiz on Conditional Indirect Effects

WEEK 3


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.


4 videos expand

1. Video: Multilevel Models Overview
2. Video: Multilevel Models Technical Elements
3. Video: Conducting Multilevel Analysis and Centering
4. Video: Conducting Multilevel Analysis and Interpreting Outputs
5. Discussion Prompt: Your research?

Graded: Week 3 Quiz on Multilevel Analysis