Clever Grades

🎧 Read Aloud

Experimental Design

The Design Framework

What is Experimental Design?

Experimental design refers to how research participants are allocated to conditions in an experiment to address research questions while controlling confounding variables.

Core Design Types

The three primary methods for allocating participants across experimental conditions.

👥

Independent Groups

Different participants in each condition.
🔁

Repeated Measures

Same participants in all conditions.
🔗

Matched Pairs

Pairs of participants matched on key variables.

Design Choice Tip

⚠️

Strengths and Weaknesses: Already discussed but important to consider why a design is chosen.

Order Effects

The Risk of Repeated Measures

Order Effects occur in repeated measures when the order of conditions influences participants’ performance.
Examples: fatigue, practice, boredom, or carry-over effects.

Counterbalancing Strategy

A key method used to minimize order effects in studies where participants repeat tasks.

1

Definition

A method used to control order effects in repeated measures designs.
2

Mechanism

Participants experience conditions in different sequences.
3

Goal

Counterbalancing reduces systematic bias and helps ensure that order effects do not confound results.

Types of Counterbalancing

A

Complete Counterbalancing

All possible orders of conditions are used, with participants evenly assigned across sequences.
B

Partial Counterbalancing (Latin Square)

Only some orders are used, arranged so each condition appears equally often in each position.

Other Control Measures

Simple techniques to further reduce confounding variables.

Randomisation

Randomisation of condition order.

Rest Intervals

Rest intervals between conditions.
Experimental Design Deck
Term
Experimental Design

What is experimental design?

Answer
Definition

The method of allocating participants to conditions to address research questions and control confounding variables.

Term
Independent Groups Designs

What are independent groups designs?

Answer
Definition

Different participants assigned to each condition.

Term
Repeated Measures Design

What is a repeated measures design?

Answer
Definition

The same participants take part in all conditions.

Term
Matched Pairs Design

Describe matched pairs design.

Answer
Definition

Participants are paired based on key variables, with each pair split across conditions.

Term
Order Effects

What are order effects?

Answer
Explanation

When the order of conditions affects participants’ performance, e.g., due to fatigue or practice.

Term
Counterbalancing

How does counterbalancing help in experimental design?

Answer
Purpose

It controls order effects by varying the sequence of conditions between participants.

Term
Complete Counterbalancing

What is complete counterbalancing?

Answer
Definition

Using all possible orders of conditions, evenly assigned to participants.

Term
Partial Counterbalancing (Latin Square)

What is partial counterbalancing (Latin Square)?

Answer
Definition

Using only select orders so each condition appears equally often in each position.

Term
Other Control Measures

Name two other control measures besides counterbalancing.

Answer
Examples

Randomisation of condition order and rest intervals between conditions.

Term
Choosing Design Types

Why choose one design type over another?

Answer
Reasoning

To balance control, practicality, and to minimize confounding variables specific to the research question.

🌸 Experimental Design Quiz

1. Which design uses different participants in each condition?

Independent groups design assigns different participants to each condition, avoiding order effects.

2. What is the main issue counterbalancing attempts to control?

Counterbalancing varies the order of conditions to reduce systematic biases caused by order effects.

3. Which of the following is not a type of experimental design?

Double-blind is a control method, not a design type.

4. In partial counterbalancing, what is often used to arrange condition orders?

Latin Square counterbalancing ensures each condition appears equally often in each position without using all orders.

5. Fatigue and practice effects are examples of:

These are changes in participant performance due to the order in which conditions are presented.

📊 Results