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    examBoard: AQA
    examType: GCSE
    lessonTitle: Extraneous Variables
    
Psychology - Cognition and Behaviour - Research Methods - Types of Variables - Extraneous Variables - BrainyLemons
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Types of Variables » Extraneous Variables

What you'll learn this session

Study time: 30 minutes

  • What extraneous variables are and why they matter in psychology
  • How extraneous variables differ from other variable types
  • Different types of extraneous variables
  • How to identify extraneous variables in research
  • Methods to control extraneous variables
  • Real examples from psychological studies

Introduction to Extraneous Variables

When psychologists conduct research, they need to be sure that any changes they observe are actually caused by what they're testing (the independent variable) and not by something else. These unwanted "something else" factors are called extraneous variables and they can seriously mess up research results if not properly controlled.

Key Definitions:

  • Extraneous variable: Any variable, other than the independent variable, that might influence the dependent variable and affect the results of the study.
  • Confounding variable: An extraneous variable that has actually influenced the results, making it impossible to know whether changes were caused by the independent variable or the confounding variable.

💡 Why Extraneous Variables Matter

Imagine you're testing whether a new revision technique helps students improve their test scores. If some students in your study also hired private tutors (an extraneous variable), you wouldn't know if improvements were due to your technique or the tutoring!

🔬 The Scientific Goal

Psychologists aim to establish cause and effect relationships between variables. Extraneous variables threaten this by offering alternative explanations for results. Controlling them helps ensure research validity.

Types of Extraneous Variables

Extraneous variables can sneak into psychological research in many ways. Here are the main types you need to know:

👤 Participant Variables

These relate to individual differences between participants that might affect results:

  • Age
  • Gender
  • Intelligence
  • Personality
  • Mood
  • Cultural background
🛠 Situational Variables

These relate to the environment where the research takes place:

  • Noise levels
  • Room temperature
  • Time of day
  • Lighting conditions
  • Day of the week
  • Weather
💻 Researcher Variables

These relate to how the researcher might influence the study:

  • Experimenter bias
  • Tone of voice
  • Body language
  • Gender
  • Age
  • Expectations

How Extraneous Variables Affect Research

Extraneous variables can impact research in two main ways:

Reduced Internal Validity

Internal validity refers to how confident we can be that changes in the dependent variable were actually caused by the independent variable. Extraneous variables threaten this by offering alternative explanations for the results.

🔄 Confounding Effects

When extraneous variables aren't controlled, they can become confounding variables that are so mixed up with the independent variable that we can't tell which one caused the changes we observed.

Case Study Focus: The Hawthorne Effect

One famous example of an extraneous variable comes from studies conducted at the Hawthorne Works factory in the 1920s and 1930s. Researchers were investigating how workplace conditions affected productivity. They found that productivity improved when changes were made to lighting levels.

However, they later discovered that productivity improved regardless of whether lighting was increased or decreased! This led to the identification of what we now call the Hawthorne Effect - the tendency for people to change their behaviour simply because they know they're being observed. This awareness of being studied was an extraneous variable that affected the results.

Controlling Extraneous Variables

Psychologists use several methods to control extraneous variables and ensure their research is valid:

📈 Randomisation

Randomly allocating participants to different conditions helps ensure that participant variables are evenly distributed across conditions.

Example: In a study testing a new therapy, researchers would randomly assign participants to either receive the therapy or be in a control group.

📝 Standardisation

Using the same procedures, instructions and conditions for all participants helps control situational variables.

Example: Giving all participants exactly the same instructions, read from a script, in the same room, at the same time of day.

🤝 Matching

Pairing participants with similar characteristics across different conditions.

Example: Ensuring each condition has the same number of males and females, or participants of similar ages or educational backgrounds.

👀 Single-Blind Technique

Participants don't know which condition they're in (experimental or control), reducing demand characteristics.

Example: Participants don't know whether they're receiving a real treatment or a placebo.

🪐 Double-Blind Technique

Neither participants nor researchers know which condition participants are in, reducing both demand characteristics and experimenter bias.

Example: In drug trials, neither participants nor the researchers directly interacting with them know who's receiving the actual drug versus a placebo.

🛡 Counterbalancing

Changing the order of conditions or tasks to prevent order effects.

Example: Half the participants do Task A then Task B, while the other half do Task B then Task A.

Identifying Extraneous Variables in Research

When reading about psychological studies or designing your own research, it's important to be able to spot potential extraneous variables. Here are some questions to ask:

  • Could participant characteristics (age, gender, etc.) have influenced the results?
  • Were there any environmental factors that might have affected how participants responded?
  • Could the researcher's behaviour or expectations have influenced the participants?
  • Were there any unexpected events during the study that might have affected the results?
  • Could the time of day or location have made a difference to how participants performed?

Real Research Example: Loftus and Palmer (1974)

In their famous study on eyewitness testimony, Loftus and Palmer showed participants videos of car accidents and then asked them questions about what they saw. The key manipulation was the verb used in the question: "How fast were the cars going when they smashed/hit/contacted/bumped/collided into each other?"

The researchers needed to control several extraneous variables, including:

  • Using the same video clips for all participants
  • Standardising the instructions given
  • Ensuring the questioning environment was consistent
  • Controlling the time between viewing and questioning

If they hadn't controlled these variables, they couldn't have been confident that differences in speed estimates were due to the verb used (independent variable) rather than these other factors.

Why Understanding Extraneous Variables Matters

Understanding extraneous variables is crucial for:

📖 Evaluating Research

When you're asked to evaluate studies in your exams, identifying potential extraneous variables and discussing how well they were controlled is a key way to demonstrate critical thinking.

🚀 Planning Research

If you need to design a study for coursework, showing awareness of potential extraneous variables and how you'll control them will strengthen your methodology.

Exam Tips for Discussing Extraneous Variables

In your psychology exams, you might be asked to:

  • Identify potential extraneous variables in a study
  • Explain how extraneous variables could affect the results of a study
  • Suggest ways to control extraneous variables
  • Evaluate how well a study controlled extraneous variables

When answering these questions:

  • Be specific about which extraneous variables you're discussing
  • Explain exactly how they might influence the dependent variable
  • Suggest practical and appropriate control methods
  • Link your discussion to the overall validity of the study

Quick Recap: Variables in Psychology

To avoid confusion, remember the differences between variable types:

  • Independent variable (IV): What the researcher manipulates/changes
  • Dependent variable (DV): What the researcher measures to see the effect of the IV
  • Extraneous variables: Other factors that could affect the DV
  • Confounding variables: Extraneous variables that have actually affected the results
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