Introduction to SPSS

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来自 University of Virginia 的课程

Understanding Your Data: Analytical Tools

26 个评分

University of Virginia

Understanding Your Data: Analytical Tools

26 个评分

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/

从本节课中

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.

What Is Mediation?9:24

Introduction to SPSS4:38

Running a Mediation Model10:08

Conducting a Parallel Mediation Analysis8:13

Conducting Serial Mediation Analysis9:46

Moderation Overview5:14

Conducting Moderation Analysis: Understanding the Outputs6:38

Conducting Moderation Analysis: Plotting Interactions5:39

与讲师见面

Cristiano Guarana
Post-Doctoral Researcher
Darden School of Business

Welcome to our session two of our first workshop on mediation and moderation.

This session is about mediation and this is the agenda for today.

So we'll introduce you to SPSS.

We'll guide you through this process from clicking on

the SPSS icon to uploading your data so now you can run your models.

And once we get there then we will run a mediation model.

It's really important for you to know that this is

a hands-on workshop and if you have

your own data set you can definitely use your data set,

you can definitely use your variables because the processes will be the same.

But to make things easier for you,

if you don't have a data set you can go to the description of this video

and download the data that we at the BRAD lab put together for you.

There will be a few variables there.

I will guide you through all this process and

I tell you which variables we should use when conducting these analysis.

But yes, if you have your own data set,

feel free to use that.

But if you don't have a data set, use ours.

We are trying to make this as user friendly,

as easy for you as possible.

So, let's just start with an overview of mediation.

What is mediation?

Remember, when we are running mediation models,

we are interested in the mechanism or

the process through which our independent variable influences our dependent variable.

How, how our independent variable influences our dependent variable.

Usually you'll see this figure in papers that describe mediation models.

You'll have three different paths: path A,

path B and path C,

but the bottom line here is that we are looking at the mechanism,

how independent variable influences the dependent variable,

that is the mediator.

So, once you have SPSS on your computer and you click on the icon,

this is a screen that you'll see.

Just click on OK to proceed and then you go to file.

So by clicking on file,

there are a bunch of options here.

And the one that we want now is actually open and we here open your data set.

We have not opened a project or syntax or an output.

We are open your data set.

So if you decided to download our own data set that we are sharing with you,

find where that data set is saved on your computer and then double click on that.

So this data set,

the name of the data set that we are providing you,

is called First Workshop.

Once you double click on this file,

you'll get to this screen.

There will be a number of variables: meaningfulness, engagement,

commitment, organization identification, task complexity, and performance.

Keep in mind to use or to create simple names for your variables,

short names for your variables.

It's important to keep them to eight,

eight characters, that's the magical number.

We'll be using the process macro development by Hayse and that process,

that macro has this limitation we can only have 8 characters for each variable.

So keep that in mind when you are using your own data set or creating your own data set.

And, where can you get to this process macro developed by Hayse?

Go to this website here, processmacro.org.

That's the website that you needed to go and download and install this macro.

If you don't have this macro installed on your computer,

this pluging on your SPSS,

this is a great time to do that.

I would pause this presentation,

this video and go to this website,

download it and install on your computer.

Follow the instructions that Hayse will give to

you to install these macro on your computer.

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