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- Define internal validity in research.
- Understand the difference between extraneous and confounding variables.
- Describe the physical variables, researcher variables and participant variables that affect internal validity.
- Take a look at different factors that threaten internal validity.
- Explain methods for controlling extraneous variables.
1. What is Internal Validity in Research? - Definition & Examples
The purpose of most research is to show that one variable causes changes in another variable. But, what happens when other variables come into play? In this lesson, we'll explore the definition, importance and threats to internal validity.
2. Extraneous & Confounding Variables: Differences & Examples
What happens when something other than your independent variable is influencing the outcome of your study? In this lesson, we'll look at two types of variables that can affect an experiment: extraneous and confounding variables.
3. Physical Variables that Affect Internal Validity
How might a researcher accidentally mess up the results of his or her study? In this lesson, we'll look at one type of extraneous variable that can change experimental results - physical or situational variables.
4. Researcher Variables that Affect Internal Validity
Scientists want only the independent variable to affect the outcome of their studies, but sometimes it is the things they do themselves that change the outcome. We'll look at three common researcher-related variables: researcher bias, selection bias, and researcher personality in this lesson.
5. Participant Variables that Affect Internal Validity
Sometimes, participants in an experiment can change the outcome. In this lesson, we'll look at some of the extraneous variables caused by participants: self-selection bias, demand characteristics, and good-subject bias.
6. Threats to Internal Validity I: History, Instrumentation & Subject Mortality
In research, there are many things besides the independent variable that can affect the dependent variable. In this lesson, we'll look at three of those things - history, mortality, and instrumentation - and what they mean to research.
7. Threats to Internal Validity II: Statistical Regression & Testing
If you're doing research, how do you know if one thing causes another? In this lesson, we'll look at some common threats to the internal validity of experiments, including testing effects and regression to the mean.
8. Threats to Internal Validity III: Selection, Maturation & Selection Interaction
A major goal of research is to prove that one thing causes another thing. But there are some hurdles to being able to say that. In this lesson, we'll look at three threats to internal validity: selection, maturation, and selection interaction.
9. Controlling for Extraneous Variables: Single Blind, Double Blind & Placebo Methods
Sometimes researchers are confronted with extraneous factors that affect the outcome of their studies. In this lesson, we'll look at ways to control for these extraneous variables, including single-blind and double-blind studies and placebos.
10. Concurrent Validity: Definition & Examples
This lesson will cover concurrent validity and illustrate the difference between concurrent and predictive validity. Then, you can test your new knowledge with a quiz.
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Other chapters within the Research Methods in Psychology: Tutoring Solution course
- Introduction to Research Methods: Tutoring Solution
- Principles of Ethical Research: Tutoring Solution
- Setting Up the Research Study: Tutoring Solution
- Data Collection Techniques in Psychology: Tutoring Solution
- Nonexperimental Research: Tutoring Solution
- Qualitative Research Methods and Design: Tutoring Solution
- Quasi-Experimental Research: Tutoring Solution
- Sampling and Generalization: Tutoring Solution
- Measurement in Research: Tutoring Solution
- External Validity: Tutoring Solution
- Experimental Design: Tutoring Solution
- Descriptive Statistics in Psychology: Tutoring Solution
- Inferential Statistics in Psychology: Tutoring Solution
- Evaluating Research Findings: Tutoring Solution