Experimental Design Flashcards
What is an experimental design?
- If an IV has more than 1 level, the researcher has to decide who’ll take part in each condition
- So an experimental design is how participants are used in experiments (what conditions they’re assigned to) and set of conditions used to control influences (e.g. participant variables)
What are order effects?
An extraneous variable arising from the order in which conditions are presented e.g. practice effect or fatigue effect
What are the 3 types of experiment design?
- Repeated measures
- Independent measures
- Matched pairs
What is a repeated measures design?
- All participants receive all levels of the IV, e.g., each participant does a memory test with the TV. Then a week later, each do a similar test without the TV on
- We then compare the performance
What are disadvantages of repeated measures design?
- Participant have to endure all conditions of the IV and the order in which these tasks are completed may have an impact (order effects)
- Participants may be more likely to work out the aim of study when they experience all conditions, which means there’s more chance of demand characteristics
What are methods of dealing with order effects?
- Using counterbalancing involves alternating the order in which participants perform in different conditions of an experiment
- e.g. a group performs AB and another does BA, or all participants take part in each condition twice
What is an advantage of repeated measures design?
The same participants take part in all conditions and their performance in one condition is compared with their own performance in another, means there’s no issues with participant variables
What is an independent groups design?
- Participants are placed in separate groups. Each group does one level of the IV e.g. A does the task with the TV on, B does the task with no TV
- We compare the performance of the two groups
What are disadvantages of independent groups design?
- The participants who occupy each condition aren’t the same. So, if a difference in the DV was found, it’s more difficult to know if the change is a result of the IV and not that participants variables
- Participants take part in only one condition which means twice as many participants are needed to produce the same amount of data
What are methods of the dealing with participant variables?
Randomly allocate participants to conditions which should distribute participant variables evenly. Random allocations can be done by putting participants name in a hat and drawing out names.
What is an advantage of independent groups design?
Avoids order effects (practice/fatigue), participants don’t have the opportunity to practice and are less likely to becomes tired or bored
What is a matched pairs design?
- A compromise is to use 2 groups of participants but match participants on key characteristics believed to affect the DV (e.g. IQ)
- Then one member of the pair is randomly allocated to group A and the other to group B. The procedure is the same as an independent design
What are advantages of a matched pairs design?
- As participants take part in only one condition, it reduces order effects and demand characteristics
- Attempts to reduce participants variables by matched participants
What are disadvantages of a matched pairs design?
- It’s impossible to control all participants variables are you can only match on known relevant variables
- Matching participants is a time-consuming and difficult process
How would limitations of matched pairs design be overcome?
- Restrict the number of variables to match to make process easier
- Conduct a pilot study to consider key variables that might be important when matching