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Multivariate Experimental Design

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  • 0:06 Experimental Design
  • 1:00 Variables
  • 2:17 Multivariate Design
  • 3:50 Lesson Summary
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Lesson Transcript
Instructor: Natalie Boyd

Natalie is a teacher and holds an MA in English Education and is in progress on her PhD in psychology.

Most research studies only have one dependent variable. But what if a researcher wants to study more than one dependent variable? In this lesson, we'll look at multivariate research designs and how they differ from factorial designs.

Experimental Design

Mandy is a psychologist. She's interested in how gender affects people's experiences in math class. Do girls get better grades than boys? Do they enjoy the class better than boys? Mandy believes gender plays a role in the outcome of a college math class. In order to test her hypothesis that girls get better grades and enjoy the class better than boys, Mandy needs to design a research study.

Experimental design is the process whereby a researcher makes decisions about how to answer their research questions. For example, should Mandy choose between grades and enjoyment, or study them both? How should she measure her variables? These are questions that Mandy will answer in the experimental design portion of the research process. Let's look closer at the types of variables and one particular type of experimental design: multivariate design.

Variables

Before we get into multivariate design, it's important to understand the difference in independent and dependent variables. Independent variables are variables that do not depend on other variables to change. They are independent of the other variables in the study, and that's where they get their name from. For example, in Mandy's study, her independent variable is gender. A person won't change gender because they did well in a math class. That would be crazy!

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