researcher methods Flashcards
definition of IV
the variable directly manipulated by the researcher
definition of DV
the variable being measured in the study
definition of operationalisation
making the variables in a investigation detailed and specific
what’s a extraneous variable
a variable that is not controlled, which could affect the results of the study
what’s a confounding variable
an extraneous variable that effects the results of the study so that the effect of the IV is not truly seen
Situational variables
aspects of the environment that might affect the participants behaviour eg.noise, lighting
how the study is conducted could also introduce situational variables
- participants may improve if they repeat the study this is called the order effect
- participants could become tired after repeating the study
how to control situational variables
- to ensure that the situation and procedure is exactly the same for each participant (standardised procedure)
- to control order effects researchers can use counterbalance
counterbalance - giving half of the participants contition A and the other half condition B - ## to control order effects is to assign the participants randomly
Participant variable
- each participants varies from one and other this could affect the results
- mood
- intelligence
- anxiety
how to control participant variables
- use the same participants in each condition of the study, so they can be compared
- randomly allocate participants to condition of the study to prevent only a certain type of person being in one condition of the study
Experimenter effects
The experimenter unconsciously conveys to participants how they should behave - this is called experimenter bias.
The experimenter is often totally unaware of the influence which s/he is exerting and the cues may be very subtle but they may have an influence nevertheless.
Also, the personal attributes (e.g. age, gender, accent, manner etc.) of the experiment can affect the behaviour of the participant
Demand characteristics
These are all the clues in an experiment which convey to the participant the purpose of the research, which may mean that the participant with alter their behaviour
how to control demand characteristics
Single-blind technique:
When information about the study is with held from the
participant
Double-blind technique:
when both the participant and researcher are unaware
of the aims of the study
what is a hypothesis
is a precise, testable statement of what the researchers predicted will be the outcome of the study
- usually involves proposing a possible relationship or difference between two variables
what’s a null hypothesis
-states the results or outcome will find no or very little effect
- one variable does not affect the other
- states were is not a relationship between the two variables being tested
- there are no differences between conditions
what is Alternative hypothesis
- states that there is a relationship between the two variables being studied ( one variable has an effect on the other)
- it states that the results are not due to chance and that they are significant in terms of supporting the theory being investigated
Directional hypothesis
- a theory makes a clear claim, so the direction of the hypothesis can be directed
eg. adults will correctly recall more words that children
Non-directional hypothesis
- if a theory cannot make a clear prediction and the evidence is mixed, then a non-directional hypothesis is used
- it predicts that the independent variable will have an effect on the dependent variable, but the direction of the effect is not specified
eg. there will be a difference in how many numbers are correctly recalled by children and adults
Target population
is the group of individuals an investigation is looking to study
what’s a sample
is the group of people who take part in the investigation
Random Sampling Technique
- everyone in the target population has a equal chance of being selected
Strengths of random sampling
- provides the best chance of an unbiased representative sample
- helps control participant variables
Weaknesses of Random sampling
- time consuming
- some people may refuse to participate
Volunteer Sampling Technique
- putting together a sample of participants who have volunteered to take part in the research
eg advert on social media - can be directed to the target population
Strengths of Volunteer Sampling
- easy to arrange
- convenient
- ethical as people will only apply if they want to participate
Weaknesses of Volunteer Technique
- not representative of the target population
- not everyone in the target population will apply
- biased sample - volunteers can be considered as having a particular personality type
Stratified Sampling Technique
- researcher identifies the different types of people that make up the target population and works out the proportions of each
type of people within it - once the different types of people are identified(subgroups), a random sample will be selected from each group so that they are represented proportionately in the sample
Strengths of Stratified Sampling
- deliberate effort to ensure that the sample is completely representative
Weaknesses of Stratified Sampling
- time consuming as subgroups need to be identified and calculations made
- people can refuse to take part
Opportunity Sampling Technique
- uses people from the target population available at the time and willing to take part
- based on convenience
- its obtained by asking members of the population of interest if they would take part in your study
Strength of Opportunity Sampling
- quick and convenient method
- economical
Weaknesses of Opportunity Sampling
- can lead to a biased sample
- not representative sample as the researcher is likely to choose people who are ‘helpful”
- finding are likely to not be generalisable
Laboratory experiment
- conducted under highly controlled conditions
- researchers decides where the experiment will take place
- uses a standardised procedure
- extraneous variables are controlled
strengths of lab experiment
- easy to replicate - reliable
- allow precise control of extraneous variables
- most scientific
- cause and effect can be established which helps with internal validity
Weaknesses of lab experiment
- low ecological validity as artificial setting might produce unnatual behaviour that doesn’t reflect on real life
-demand characteristics
Field experiments
- done in everyday environments of the participants
- experimenter still manipulates the IV, but in a real life setting
- example Holfing (1966) hospital experiment
Strengths of field experiment
- higher ecological validity– more likely to reflect on real life behaviour
- cause and effect between IV and DV
- demand characteristics are less likely
Weaknesses of field experiments
- less control over extraneous variables
- difficult to replicate
- if convert participants would not know they are taking part in the study
Natural experiment
- conducted in the everyday environment of the participants
- experimenter has no control over the IV