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Experimental Design in Psychology

Core Definition and Types

Understanding Experimental Design

Experimental design refers to how participants are allocated to different conditions and how variables are manipulated and controlled. Understanding the three main designsβ€”repeated measures, independent measures, and matched participantsβ€”is critical for planning and interpreting psychological experiments.

Repeated Measures Design

In repeated measures design, the same participants take part in all conditions of the experiment. For example, measuring the reaction time of a group of participants both when sleep-deprived and fully rested.

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STRENGTHS

Controls for participant variables because each participant acts as their own control, improving reliability.

Requires fewer participants, which is cost-effective and time-efficient.

Greater statistical power because individual differences are eliminated from comparison.

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WEAKNESSES

Prone to order effects such as fatigue (getting tired by the second condition) or practice (improvements due to familiarity with the task).

Sometimes not practical if the manipulation has lasting effects that cannot be undone (carryover effects).

Demand characteristics might be more pronounced because participants experience all conditions and may guess the aims.

Independent Measures Design

In this design, different participants are used in each condition. One group might be tested under the sleep-deprived condition, another under the rested condition.

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STRENGTHS

No order effects or practice effects because participants are tested only once.

Often quicker per participant because each completes only one condition.

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WEAKNESSES

More participants are needed, increasing time and cost.

Participant variables are not controlled naturally, potentially increasing variability. Random allocation helps to minimize these differences but cannot eliminate them entirely.

Matched Participants Design

Participants are matched on key variables (e.g., age, IQ) and then split into conditions; pairs or groups are equivalent based on these variables. For example, pairing two participants with similar IQ scores and assigning one to the sleep-deprived group and the other to the control group.

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STRENGTHS

Controls for participant variables better than independent measures design.

Avoids order effects since each participant takes part in only one condition.

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WEAKNESSES

Time-consuming and difficult to find suitable matches on all relevant variables.

Matching may be incomplete, leaving some differences uncontrolled.

More complex logistics and analysis.

Techniques & Effects

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Counterbalancing

Counterbalancing is a method used to reduce order effects by changing the order in which participants complete conditions.

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Order Effects

Prone to order effects such as fatigue or practice.

The Research Decision

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Design Choice: Researchers choose designs based on the nature of the study, the variables under investigation, ethical considerations, and practical constraints.

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Experimental Design Deck
Term
Experimental Design

What is experimental design?

Answer
Definition

It is how participants are allocated to conditions and how variables are manipulated and controlled in an experiment.

Term
Main Types

Name the three main types of experimental designs.

Answer
Types

Repeated measures, independent measures, and matched participants.

Term
Repeated Measures Design

What is a repeated measures design?

Answer
Definition

The same participants take part in all conditions of the experiment.

Term
Strength of Repeated Measures

Name one strength of repeated measures design.

Answer
Strength

Controls for participant variables by having participants act as their own controls.

Term
Order Effects

What are order effects?

Answer
Definition

Fatigue or practice effects that occur when participants experience multiple conditions in sequence.

Term
Counterbalancing

What is counterbalancing?

Answer
Definition

A method to reduce order effects by changing the order of conditions for participants.

Term
Independent Measures Design

What characterizes independent measures design?

Answer
Definition

Different participants are used in each condition.

Term
Strength of Independent Measures

Give one strength of independent measures design.

Answer
Strength

No order or practice effects since participants complete only one condition.

Term
Weakness of Independent Measures

What is a key weakness of independent measures design?

Answer
Weakness

Participant variables are not naturally controlled, which may increase variability.

Term
Matched Participants Design

Describe the matched participants design.

Answer
Definition

Participants are matched on key variables and split into conditions based on these matches.

Term
Benefit of Matched Participants

What is a benefit of matched participants design over independent measures?

Answer
Benefit

Better control over participant variables without order effects.

Term
Limitation of Matched Participants

What is a limitation of matched participants design?

Answer
Limitation

It is time-consuming and difficult to find perfect matches.

Term
Choosing Experimental Designs

Why do researchers choose different experimental designs?

Answer
Reason

Based on the study’s nature, variables, ethics, and practical constraints.

🧠 Psychology Research Methods Quiz

1. Which design uses the same participants in all conditions?

Participants experience every condition, acting as their own control.

2. What is a major weakness of the repeated measures design?

Participants do multiple conditions which can influence performance over time.

3. How does counterbalancing help in repeated measures designs?

Participants receive conditions in varied orders to balance out fatigue or practice effects.

4. Why might researchers choose an independent measures design?

Different participants do different conditions; no repeated exposure.

5. What is a key disadvantage of matched participants design?

Finding participants who closely match on variables like IQ or age can be difficult.

πŸ“Š Results