Independent Groups (Experimental Design)
Strengths:
*Less materials needed
*Same test can be used for both groups as only doing one condition
*No order effects
*Different P’s in each condition
*Less chance of demand characteristics
*P’s less likely to guess aim of study
Weaknesses:
*More P’s needed
*Diff P’s in each condition, need a larger sample
*Individual differences
*Different P’s in each condition, so comparing results of each *condition not as accurate
Repeated Measures (Experimental Design)
Strengths:
*Less P’s needed
*Controls for individual differences
Weaknesses:
*More materials
*Order effects
*More chance of Demand Characteristics
Matched Pairs (Experimental Design)
Strengths:
*Less chance of individual
differences
*P’s matched to reduce impact
of I.D.
*No order effects
*Different P’s in each condition
*Less chance of demand
characteristics
*P’s less likely to guess aim of
study (only do one condition)
Weaknesses:
*Matching is difficult
Impossible to match all
participant variables, even
twins aren’t perfect match
*More P’s needed
*Diff P’s in each condition, need
a larger sample
*Time consuming
*Lengthy process to match P’s
before the experiment
In the Lab (Location of research)
Strength:
*Easy to control – limit the impact of EV’s - High control means that cause and effect can be determined, increasing internal validity
*Access to specialist equipment
*Easy to replicate due to standardised procedure, increasing reliability
Weakness:
*Artificial behaviour – P’s more likely to change their behaviour (Demand characteristics)
*Low ecological validity – artificial environment
In the Field (Location of research)
Strength:
*Access to study a wide range of behaviours due to availability of environments
*Carried out in everyday environment, likely to be reflective of everyday behaviour therefore high in ecological validity
*Less likely to be aware of research taking place – behaviour will be more natural
Weakness:
*More difficult to control – may impact validity of results - Hard to control extraneous variables, difficult to establish cause and effect
* May not be practical/feasible to study behaviour that needs specialist equipment
*Less chance of demand characteristics as P’s unaware they are being studied
Online (Location of research)
Strength:
*Can access large, diverse samples
*Data collected electronically so can be easy to collect and analyse
*Less time consuming and cost-effective as no need to analyse/transcribe data as participants are typing their own comments, no printing costs
Weakness:
*Can be difficult to monitor ethical issues as P’s are not in the presence of the researcher
*Hard to know if P’s are being honest - Access to various online groups to study social processes, e.g. social influence
*Participants who take part in online experiments may be very similar, e.g. young, stressed, extroverted
Quasi (Location of research)
Strength:
*Can be used when it is unethical/ not practical to manipulate the IV
*High external validity as study of ‘real problems’ as they happen
Weakness:
*Reduced opportunities for study as events may happen rarely (hard to generalise)
*Hard to establish cause and effect due to lack of control when IV naturally occurring
Natural (Location of research)
Strength:
*Often carried out under controlled conditions so can compare differences between people
Weakness:
*Cannot randomly allocate people to conditions so likely to be confounding variables
*Due to being ‘like a lab’ environment could be contrived, therefore lowering ecological validity
Opportunity (Sampling)
Strength:
Easier than other sampling techniques - Convenient - doesnt require much planning
Weakness:
Unrepresentative if sample is only from one
place so it is hard to generalise to the target
population.
Researcher bias - you choose who you ask unconsciously
Self-selected (Sampling)
Strength:
Easier than some sampling methods as prospective participants approach you to take part .
Lack of researcher bias - people self select themselves/volunteer
Adverts can reach a wide variety of participants
Weakness:
Volunteers tend to be more interested and motivated to take part so perform differently to randomly selected participants - Not representative as they have similiar personalities
Only people who see the advert will be able to volunteer. The sample will not be truly representative of the target population because of small sample
Random (Sampling)
Strength:
No researcher bias because All members have an equal chance of being selected because of random number generator
Weakness:
Can be time consuming
Randomly selected means they could end up not being representative
Systematic (Sampling)
Strength:
Quicker than other sampling methods
No researcher bias because no researcher influence
Weakness:
People selected may say no
Sample may not be representative because its by chance
Stratified (Sampling)
Strength:
Most representative of target population as all subgroups are represented so we can generalise the results
No researcher bias because participants are randomly selected (Random sampling)
Weakness:
Time consuming compared to other methods
Quota (Sampling)
Strength:
Most representative of target population as all subgroups are represented so we can generalise the results
Weakness:
Time consuming compared to other methods
Research bias as it uses opportunity sampling
Snowball (Sampling)
Strength:
Enables the researcher to locate groups that may be difficult to access
Weakness:
Not representative because they may gather friends and they may have similiar personalities.