experimental design

0.0(0)
studied byStudied by 0 people
0.0(0)
full-widthCall with Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/12

encourage image

There's no tags or description

Looks like no tags are added yet.

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced
Call with Kai

No study sessions yet.

13 Terms

1
New cards

independent groups

Different participants are used in each condition of the experiment.

2
New cards

strengths of I

  • No order effects (practice or fatigue)

  • Simple to set up

  • lowers risk of demand characteristic as harder to work out if they only experience one level of IV

3
New cards

limitations of I

  • Participant variables may differ between groups → can confound results

  • Requires more participants= time and money

4
New cards

repeated measure

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

5
New cards

what technique is used to minimise participant variable

Random allocation

Definition:
A technique used in independent groups designs to assign participants to conditions randomly, ensuring each participant has an equal chance of being in any condition.

Purpose / Strength:

  • Controls participant variables → reduces confounding

Key terms for AQA: independent groups, participant variables, random.

6
New cards

strength of repeated

  • Controls participant variables (same people in all conditions)

  • Fewer participants needed

7
New cards

limitation of repeated

  • Order effects (practice, fatigue, boredom)

  • Demand characteristics more likely

8
New cards

how are order effects reduced

A technique used in repeated measures designs to control order effects by varying the order of conditions for participants.

Example:

  • Half of participants do Condition A first, then Condition B.

  • The other half do Condition B first, then Condition A.

9
New cards

matched pairs

Different participants are used in each condition, but they are matched on key characteristics (e.g., age, IQ) to make groups as similar as possible.

10
New cards

strengths of matched

  • Reduces participant variables compared to independent groups

  • No order effects

11
New cards

limitations of matched

  • Time-consuming to match participants accurately

  • Matching can never be perfectly remove participant variable

12
New cards

what reduces reascher bias

Randomisation

Using chance to decide the order of trials, presentation of materials, or selection of participants

Reduces researcher bias, ensures fairness

13
New cards

how can we increase reliability and control EVS

Standardisation

Keeping procedures, instructions, and conditions the same for all participants

Controls extraneous variables, ensures reliability