Research Methods Flashcards
qualitative data
non-numerical
quantitative
numerical data
quantitative - advantage
easy to analyse
quantitative - disadvantage
lacks detail
qualitative - advantage
rich in detail
qualitative - disadvantage
hard to analyse
What distinguishes experimental methods from others?
an IV, DV and cause and effect
IV
deliberately manipulated by investigator
DV
measured by investigator
Participant variables
any characteristics or traits of the participant that might unfairly influence the results e.g. age, gender
Investigator effects
any cues from investigator that encourage a certain behaviour in participants e.g. facial expressions
environmental variables
any aspects of the environment or situation that might unfairly influence the results e.g. time of day, light
Demand characteristics
any cues that reveal the aims of the study to the participants
- if they become aware, may alter behaviour to help or hinder the experiment
-may just alter behaviour without intention
Standardisation
putting controls into place
-ensures all aspects are the same for every participant
-consistent standard
-environment, procedures, instructions
Randomisation
Ensures all choices are randomly selected by chance
-rather than determined by researcher
confounding variables
Any extraneous variable that is not controlled and spoils the results
Internal validity
Whether or not the research measured what it intended to
-EVs are controlled
External validity
whether results can be generalised to real life outside world
-representative
ecological validity
Real life setting
Population validity
Generalisable to other people in target population
Temporal validity
Generalisable to modern world
reliability
consistency
lab experiments
establish a cause and effect relationship between IV and DV in a controlled environment using standardised procedures
lab advantages
+high control
+easy to replicate
lab disadvantages
-demand characteristics
-low ecological validity
Field experiments
Establish cause and effect relationship between IV and DV conducted outside lab in real life environments
field advantages
+high ecological validity
+low demand characteristics
field disadvantages
-low degree of control
-difficult to replicate
natural experiments
establish a cause and effect relationship between IV and DV where IV varies naturally and is not deliberately manipulated by investigator
natural advantages
+high ecological validity
+provides opportunity for research that may not otherwise take place - e.g. unethical (age at which child is adopted) or impractical (intro of TV to society)
natural disadvantages
-random allocation to conditions is not possible - condition participants are in also occurs naturally which may be biased e.g. all people in one condition may be more intelligent or friendly
-difficult to replicate
quasi experiments
Establish a cause and effect relationship between IV and DV where IV doesn’t vary at all because the condition already exists e.g. gender, age
quasi advantages
+high ecological validity
+provides opportunity for research that may not otherwise take place - allows research where varying IV isn’t possible
quasi disadvantages
-random allocation not possible
-difficult to replicate
aims
General statement about what the researcher intends to study
Hypothesis
Precise and testable statement that states relationship between variables
Nom directional hypothesis
States that there will be an effect but doesn’t state which way that effect will go
Directional hypothesis
States which way effect will go
Pilot study
Small scale trial run
- checks research works as intended to
- no extraneous variables
Why pilot study?
1) do participants understand instructions
2)are materials and timings appropriate
3)ask a few participants about their experience
4)have variables been operationalised sufficiently
Population
Large group of individuals who share specific characteristics that a researcher is interested in studying
Sample
Smaller group that is representative of population
Bias in terms of sampling
Under or over representing certain groups within sample
Generalisation in terms of sampling
extent to which sample can be applied to population
Opportunity sampling
Anyone who is willing and available
E.g. approach on street
Opportunity advantage
+quick, convenient, economical
Opportunity disadvantages
-biased and unrepresentative
Volunteer sampling
Individuals put themselves forward
E.g. adverts in newspaper or notice boards
Volunteer advantage
+quick, convenient, economical
Volunteer disadvantage
-biased and unrepresentative
Systematic sampling
Every nth member of target population
E.g. school register
Systematic advantage
+avoids researcher bias
Systematic disadvantage
-not guaranteed to be representative e.g, could all be male - not everyone has equal chance of being selected
Random sampling
Everyone in target population has equal chance of being selected
E.g. names in hat
Random advantage
+avoids researcher bias
Random disadvantage
-not guaranteed to be representative
Stratified sampling
Sample that reflects the proportions of people in different subgroups within population
E.g. if 15% are under 18
1) identify subgroup
2) work out proportions
3) participants from each subgroup chosen randomly
Stratified advantage
+highly representative - names from hat also focus on subgroups
Reduces researcher bias
Stratified disadvantage
-time consuming and inconvenient - lots of necessary planning
Experimental design
Way in which participants are allocated to different conditions
Repeated measures
All participants take part in all conditions
Repeated measures advantages
+no participant variables
+requires half as many participants
Repeated measures disadvantages
-suffers from order effects
-high demand characteristics
Independent groups
Participants are placed into separate groups randomly and each complete one of the conditions
Independent groups advantages
+no order effects
+low demand characteristics
Independent groups disadvantages
-low degree of control over participant variables
-requires twice as many participants
Matched pairs
Different participants used for different conditions, however, participants have been matched into pairs based on important characteristics. One of each pairs takes condition A and the other takes condition B