Research Methods: Experimental Methods Flashcards
AO1: Lab Experiment
-Experiment conducted in lab, highly controlled environment.
-Researcher manipulates IV to measure the effect on the DV.
AO3: Lab Experiment Strength: Extraneous Variables
P: High control over extraneous variables.
E: e.g. light is controlled, time is controlled.
E: Cause and effect established between IV and DV.
L: Increases internal val.
AO3: Lab Experiment Strength: Reliability
P: High in reliability.
E: Experiment easily repeated in same conditions.
L: Check for consistent results.
AO3: Lab Experiment Weakness: Ecological Val
P: Lacks eco val.
E: Carried out in artificial environment.
E: Difficult to generalise findings to real scenarios
L: Lowers external val.
AO3: Lab Experiment Weakness: Demand Characteristics
P: Prone to demand characteristics.
E: Ppts change natural behaviour based on clues given by researcher.
E: Ppts choose to either help/ hinder the research.
L: Reduces internal val.
AO1: Field Experiment
-Takes place in natural environment e.g. shops, work, school.
-Researcher manipulates IV to measure effect on DV.
AO3: Field Experiment Strength: Demand Characteristics
P: Less prone to demand characteristics.
E: Ppts may not know they’re being watched.
E: Less likely to guess clues given by researcher and change natural behaviour.
L: Increasing internal val.
AO3: Field Experiment Strength: Eco Val
P: High eco val.
E: Based in real-life setting.
E: Easier to generalise findings to other similar real-life scenarios.
L: Increases external val.
AO3: Field Experiment Weakness: Repeat Study
P: Low in reliability.
E: Environment is natural.
E: Difficult to repeat in exact same conditions.
L: Hard to check for consistent results.
AO3: Field Experiment Weakness: Ethical Issues
P: Lack of informed consent- ethical issue.
E: Ppts may not be aware they’re being studied, wouldn’t have given consent.
E: Become aware, then they may become upset.
L: May wish to withdraw their data from research.
AO1: Natural Experiment
-Naturally occurring event.
-IV changes naturally, researcher doesn’t need to change the IV.
AO3: Natural Experiment Strength: More opportunities for Research
P: Provide more opportunities for research .
E: Research may not be undertaken for ethical reasons.
E: e.g. Rutter et al, Romanian orphans- unethical to manipulate unless institutionalisation hadn’t naturally occurred.
L: Improves credibility of natural experiments.
AO3: Natural Experiment Strength: High Eco Val
P: High Eco Val
E: Often based in real-life settings.
E: Easier to generalise findings beyond setting of study to other similar settings.
L: Increases external val.
AO3: Natural Experiment Weakness: Rare
P: Naturally occurring event may happen very rarely.
E: Limits opportunities for research.
E: Unlikely research can be repeated to check for consistent results.
L: Lacks reliability.
AO1: Quasi Experiment
-IV based on existing individual differences between people (e.g. certain characteristics).
-Researcher doesn’t manipulate IV e.g. age/ gender.
-Researcher measures effect on DV.
-Can be conducted in lab or in a natural environment.
AO3: Quasi Experiment Weakness: Sample bias
P: Sample bias.
E: Sample being studied may have unique characteristics e.g. age.
E: May be difficult to generalise to target population.
L: Lowers external val.
Define: Demand Characteristics
Any clues given off within research which lead to ppts changing their natural behaviour to either help/ hinder the research, reducing internal val.
How to Control Demand Characteristics
Making another researcher who DOESN’T KNOW the aims of the research to carry out the experiment, cannot give off any clues to influence ppts.
Controls: Randomisation
-Possible aspects of research should be allocated randomly and not decided by the biased researcher.
EXAMPLE:
Ppts must learn list of words in memory study.
Order of the words and conditions should be randomly generated (e.g. with a computer generator).
Order not decided by researcher.
Controls: Standardisation
Within research, all ppts experience same environment and instructions, avoids extraneous variables affecting measurements.
Use same formalised instructions and procedures for all ppts in a study.
e.g. standardised instructions that are read out to all ppts.
Experimental Design: Independent Groups Design
Ppts take part in one condition only.
Each condition has different ppts.
Group of ppts gathered, split into equal sized groups, different group allocated each condition.
AO3: Advantage of Independent Groups Design: Benefit Of Ppts Taking Part In Only One Condition
P: No order effects.
E: Ppts only take part in one condition.
E: Won’t get bored/ fatigued/ better at the task.
L: Unlike repeated measures design- ppts take part in all conditions which could result in order effects.
AO3: Disadvantage of Independent Groups Design: Individual Differences
P: Individual differences may affect the DV.
E: Separate groups of ppts in each condition e.g. some ppts have better memory, wouldn’t be suitable in memory study.
E: Lowers internal validity.
L: Unlike repeated measures, uses less ppts and ppts take part in every condition.
AO1: Repeated Measures Design
All ppts take part in all conditions of experiment.
Ppts complete one condition and after a sufficient time lapse they will complete the other condition.
The task should be different but matched on difficulty level.
AO3: Advantage of Repeated Measures Design: Individual Differences
P: Individual differences between ppts in each condition are removed.
E: e.g. IQ is a potential cofounding variable, same ppts take part in all the conditions.
E: Researcher makes sure any changes to the DV are due to the IV and not any other variable, Increases internal val of research.
L: Unlike Independent Groups Design which uses different ppts in different conditions, individual differences could affect the DV.
AO3: Advantage of Repeated Measures Design: Fewer Ppts
P: Requires fewer ppts.
E: Same ppts take part in all conditions.
E: Unlike Independent Groups Design.
L: Uses different ppts in different conditions, individual differences could affect the DV.
AO3: Disadvantage of Repeated Measures Design: Order Effects
P: Order effects may occur.
E: Ppts take part in more than one experimental condition, so they may perform worse in the second condition, or better due to practice.
E: Lowers external val.
L: Unlike independent groups design, ppts only take part in one condition, lowers chances of order effects.
AO3: Disadvantage of Repeated Measures Design: Demand Characteristics
P: Increases demand characteristics.
E: Ppts take part in all conditions, may pick up on clues given off by researcher, could change their natural behaviour to either help/ hinder research.
E: Lowering internal val.
L: Unlike Independent Groups Design, ppts less likely to pick up on clues as only take part in one condition.
AO1: Matched Pairs Design
Ppts are matched on important characteristics in the study e.g. age.
Giving them an appropriate test, matching two ppts with the same score.
Each member of the pair is randomly allocated across each condition.
Choose a variable to get ppts matched on, test the ppt on this variable before the study, match ppt with the same scores, randomly allocate each member of pair to one condition.
AO3: Matched Pairs Design Advantage: Individual Differences
P: Reduces individual differences between ppts.
E: Matches ppts on variables important to research, e.g. IQ, age.
E: Researcher can be sure that any changes in DV are due to the Iv and not any other variable.
L: Unlike Independent Measures Design where separate ppts are in separate conditions.
AO3: Matched Pairs Design Advantage: No Order Effects
P: No order effects.
E: Ppts only take part in one condition.
E: Won’t get bored/ fatigued/ better at the task from one condition to next.
L: Unlike repeated measures design where ppts take part in all conditions and could have order effects,
AO3: Matched Pairs Design Disadvantage: Matching Ppts is Time Consuming
P: Time consuming to match ppts based on similarities.
E: Especially if pre-test is needed to match ppts on certain characteristics.
E: Psychologist would need large pool of people.
L: Unlike repeated measures design where same ppts are used in all conditions.