🧠 Test Your Knowledge!
Designing Research » Experimental Method Introduction
What you'll learn this session
Study time: 30 minutes
- The key features of the experimental method in psychology
- Different types of experiments (laboratory, field, natural)
- Independent and dependent variables
- Experimental designs (independent groups, repeated measures, matched pairs)
- How to control extraneous variables
- Strengths and limitations of experimental methods
Introduction to Experimental Methods
Experiments are one of the most important research methods in psychology. They allow researchers to test cause and effect relationships between variables in a controlled way. This makes them a powerful tool for testing psychological theories and hypotheses.
Key Definitions:
- Experiment: A research method used to investigate cause and effect relationships by manipulating one variable and measuring the effect on another.
- Variable: Something that can change or vary across participants or conditions in an experiment.
- Hypothesis: A testable prediction about the relationship between variables.
🔬 Why Use Experiments?
Experiments are the only research method that allows psychologists to establish cause and effect. This is because researchers can manipulate variables directly and control other factors that might influence the results. If you want to know whether something causes something else, an experiment is usually the best choice.
💡 Scientific Approach
Experiments follow the scientific method, which involves making observations, forming hypotheses, testing these hypotheses through controlled experiments and drawing conclusions. This systematic approach helps ensure that findings are reliable and valid.
Types of Experiments
There are three main types of experiments used in psychological research. Each has its own advantages and disadvantages.
🏫 Laboratory Experiments
Conducted in controlled settings like a psychology lab. Researchers have high control over variables, but the artificial setting might affect how people behave.
Example: Milgram's obedience study where participants were asked to deliver electric shocks to another person in a lab setting.
🌲 Field Experiments
Conducted in real-world settings but still involve manipulation of variables. More natural behaviour but less control over extraneous variables.
Example: Piliavin's subway study on helping behaviour, conducted on actual subway trains.
🌍 Natural Experiments
Take advantage of naturally occurring events or situations. Researchers don't manipulate variables but observe the effects of natural changes.
Example: Studying the psychological effects on children who experienced a natural disaster compared to those who didn't.
Variables in Experiments
Understanding variables is crucial for designing good experiments. There are several types of variables that psychologists need to consider.
📝 Independent Variable (IV)
The variable that the researcher manipulates or changes. It's the potential cause in a cause-effect relationship.
Example: In a study on the effect of sleep on test performance, the amount of sleep would be the independent variable.
📊 Dependent Variable (DV)
The variable that is measured to see if it changes as a result of manipulating the independent variable. It's the potential effect.
Example: In the same sleep study, test scores would be the dependent variable.
⚠ Extraneous Variables
Any variables other than the IV that might affect the DV. These need to be controlled to ensure the experiment is valid.
Examples: Age, gender, time of day, room temperature, noise levels, etc.
🛡 Control Variables
Extraneous variables that are kept constant across all conditions of the experiment.
Example: Using the same room, same time of day and same instructions for all participants.
Experimental Designs
The way an experiment is designed affects its validity and the conclusions that can be drawn. There are three main experimental designs:
👥 Independent Groups Design
Different participants are used in each condition of the experiment.
Advantages: No order effects, simple to design
Disadvantages: Individual differences between groups can affect results
🔄 Repeated Measures Design
The same participants take part in all conditions of the experiment.
Advantages: Controls for individual differences
Disadvantages: Order effects can occur (e.g., practice, fatigue)
👪 Matched Pairs Design
Participants are matched on key characteristics and then split into different conditions.
Advantages: Controls for individual differences without order effects
Disadvantages: Difficult to match participants perfectly
Controlling Extraneous Variables
To ensure that changes in the DV are due to the IV (and not something else), psychologists use various techniques to control extraneous variables:
- Standardisation: Using the same procedure, instructions and conditions for all participants.
- Counterbalancing: Changing the order of conditions for different participants to control for order effects.
- Random allocation: Assigning participants to conditions randomly to distribute individual differences evenly.
- Single-blind procedure: Participants don't know which condition they're in (reduces demand characteristics).
- Double-blind procedure: Neither participants nor researchers know which condition participants are in (reduces experimenter bias).
Case Study Focus: Loftus and Palmer (1974)
This famous experiment investigated how language can affect memory. Participants watched videos of car accidents and were asked 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] each other?"
Independent Variable: The verb used in the question (smashed, hit, contacted)
Dependent Variable: Participants' estimates of the cars' speed
Design: Independent groups (different participants in each verb condition)
Findings: Participants who heard "smashed" estimated higher speeds (41 mph) than those who heard "contacted" (32 mph), showing how language can influence memory.
Strengths and Limitations of Experiments
✅ Strengths
- Allow researchers to establish cause and effect relationships
- High level of control over variables
- Can be replicated by other researchers
- Produce quantitative data that can be analysed statistically
- Follow scientific method, increasing reliability and validity
❌ Limitations
- May lack ecological validity (especially lab experiments)
- Participants might show demand characteristics (behaving differently because they know they're in a study)
- Ethical issues may arise when manipulating variables
- May oversimplify complex human behaviours
- Experimenter bias can influence results
Planning Your Own Experiment
When designing an experiment, follow these steps:
- Identify your research question - What do you want to find out?
- Formulate a hypothesis - Make a clear, testable prediction.
- Identify and define variables - What will you manipulate (IV) and measure (DV)?
- Choose an experimental design - Independent groups, repeated measures, or matched pairs?
- Plan how to control extraneous variables - What might affect your results?
- Consider ethical issues - How will you ensure participants' wellbeing?
- Decide on data collection methods - How will you record your measurements?
Top Tips for Exam Success
When answering questions about experimental methods:
- Always identify the IV and DV clearly
- Explain how extraneous variables would be controlled
- Consider both strengths and limitations of the method
- Link your answer to the specific research context given
- Use psychological terminology accurately
- Refer to relevant studies as examples where appropriate
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