research methods pt2 Flashcards
what does validity mean?
the main idea of, does a test measure what it claims to be measuring
what is internal validity?
- refers to the extent in which a study’s results can be attributed to the independent variable and not the extraneous variables
what is an example of internal validity?
- investigating views on teachers through a questionnaire, to make it internally valid the questions have to be directly about teachers and not ‘should we have a 4 day week’.
what is external validity?
- the extent to which the findings of a study can be generalised to other populations, settings and overtime
what is an example of external validity?
- assessing a new medication but outside of the experimental setting
what is a setting also known as?
- ecological validity
what is ‘overtime’ also referred as?
- temporal validity
what is reliability?
- the consistency of measurements and if we get the same results repeatedly, to see if we can actually trust a researchers findings
what is internal reliability?
- a test that is consistent within itself that needs the same criteria to gain accurate results
what is external reliability?
- if a test is consistent overtime e.g. if previous methods have worked the same with different people or location
what is a lab experiment?
- an experiment that is conducted in highly controlled environments, however not always in a lab
what are the strengths of a lab experiment?
- high control over confounding variables and extraneous variables, so only the IV affects the DV
- high internal validity
- replication is more likely due to control- this ensures findings are valid and reliable
what are the weaknesses of a lab experiment?
- lacks generalisability as environment is artificial
- lacks external validity as it is an unfamiliar environment so people may act differently
- demand characteristics are more likely as participants know they are being studied
- low mundane realism as the environment is artificial
what is meant by mundane realism?
the extent to which a study matches the real world situation, to which it’s results will be applied
what is a field experiment?
- the IV is manipulated in a natural, more everyday setting
- the researcher goes to the participants usual environment rather than a lab
what are the strengths of a field experiment?
- higher mundane realism due to a more natural environment therefore behaviour is more valid and authentic
- high external validity as participants do not know they are being studied
what are the weaknesses of a field experiment?
- loss of control over control variables and extraneous variables, causing affect between the IV and DV
- ethical issues rise due to consent and invasion of privacy
what is a natural experiment?
- an experiment where there is no control over the IV and cannot change it e.g. a natural disaster
- this experiment would occur whether or not the experimenter was there
what are the strengths of a natural experiment?
- provides the opportunity to research a field that is difficult to study for practical or ethical issues
- high external validity due to relating real world issues
what are the weaknesses of a natural experiments?
- a naturally occurring event may only happen rarely which can make it hard to generalise
- participants cannot be randomly allocated which means the cause of effect between the IV and DV becomes unclear
- if tested in a lab, demand characteristics and realism can become an issue
what is a Quasi experiment?
this experiment has an IV that is based on an existing difference between people ( e.g. gender/age ) so no one manipulates the IV: it simply exists and the experimenter cannot randomly allocate the participants to conditions
what are the strengths of a quasi experiment?
- often carried out in controlled settings so has a high validity
what are the weaknesses of a quasi experiment?
- cannot randomly allocate participants so there may be control variables
- the experimenter has not deliberately changed the IV so cannot claim the IV has caused change
what is sampling?
sampling is a technique used to select participants to take part in their investigation
what is a population?
a large population of individuals that a researcher is interested in studying e.g. students
what is a target population?
a subset of the general population and these smaller groups will be representative of the target population and findings can be generalised however some samples can cause bias
what is a representative sample?
a sample that reflects that characteristics of the people in the target population, so results can be a higher validity
what is population validity?
the extent to which results from research can be generalised to other groups of people
what are the 5 types of sampling?
- random sampling
- systematic sampling
- stratified sampling
- opportunity sampling
- volunteer sampling
what is random sampling?
- this is when all members of the target population have the same equal chances of being selected
what are the advantages of random sampling?
- no researcher bias
- unbiased as the confounding and extraneous variables will be divided between groups equally, enhancing internal validity
what are the disadvantages of random sampling?
- time consuming as you need a list of members of the population
- unrepresentative as some participants may refuse to take part meaning you can end up with a volunteer sample
what is systematic sampling?
a predetermined system where every nth member is selected from the sampling frame
what are the advantages of systematic sampling?
- objective, as once the system for selection has been established the researcher has no influence over who is picked, so avoids researcher bias
what are the disadvantages of systematic sampling?
- time consuming
- participants may refuse resulting in a volunteer sampling
what is stratified sampling?
a sampling technique that reflects the varying proportions of people in particular subgroups ( strata ) withing the wider population
what are the advantages of stratified sampling?
- no researcher bias as the selection within each stratum is done randomly
- representative data as it is designed to accurately reflect the composition of the population, so generalisation is possible
what are the disadvantages of stratified sampling?
- time consuming to identify strata and contact people from each
- not completely representative of the target population as the strata cannot reflect all the difference between the people of the wider population
what is opportunity sampling?
this is when the researcher selects anyone who happens to be willing and available, they take the chance to ask whoever is around at the time of their study
what are the advantages of opportunity sampling?
- easy method of recruitment as no sample list is needed
- time consuming and less costly
what are the disadvantages of opportunity sampling?
- unrepresentative of the target population as it is drawn from a very specific areas so findings cannot be replicated
- researcher bias as they have complete control over the selection of participants and can avoid people they do not want
what is volunteer sampling?
involves participants selecting themselves to be part of the sample e.g. the researcher may place an ad in a newspaper
what are the strengths of volunteer sampling?
- less time consuming as there is quick access to willing participants
- participants are more engaged and more likely to cooperate in the study
what are the disadvantages of volunteer sampling?
- volunteer bias as the study may attract a particular profile of a person, meaning generalisability is then affected
- demand characteristics are created as volunteers are more likely to change their behaviour to please the researcher
what is a pilot study?
- a small-scale version of an investigation which is done before the real investigation is undertaken
- they are carried out to allow potential problems of the study to be identified and the procedure to be modified to deal with these, this saves money and time
what are the disadvantages of pilot studies?
- instructions / questions may be unclear and unnecessary
- the procedure could be too much for one researcher to cope with on their own
- observation could be poorly operationalised or nothing worth observing at the time sampled