research methods
- Created by: f00233
- Created on: 27-05-18 18:33
TYPES OF VARIABLES
Independent-
the thing that you manipulate in a study to see the effect it has on another variable
Dependent-
the thing that you measure in a study
Operational-
the specific way in which its measured in the study
Extraneous-
any variable apart from the iv that may affect the dv, impacting the validity. anything that could impact the performance(situational; time, weather, noise. participant; age, mood, IQ)
Confounding-
have caused an influence on the study
TYPES OF VALIDITY
external-the degree to which the findings can be generalised to other settings
internal-the degree to which an observed effect was due to manipulation or other variables
ecological-the extent to which the results can be generalized to real life settings
face-when a study completes its aim
population-how well a sample can be generalized to the whole world/target population
temporal-refers to the validity of the findings in relation to the progession of time (is it a "child of it's time"?)
TYPES OF EXPERIMENTAL DESIGN
- Repeated measures, each participant receives all the conditions
- the order of the conditions may impact results=order effects
- can guess the purpose=demand characteristics
- Independent groups, only participates in one condition
- can't control the effectsof participant variables
- needs double the amount of participants= costly
- Matched pairs , two groups matched on key characeristics, only participates in one condition
- time consuming and difficult to match
- not possible to control all participant variables
- you can... counter balance (ABBA), randomly allocate( number from hat) conduct pilot study
TYPES OF EXPERIMENTS
- labatory
conducted in a special environment with high control
normally artificial tasks, participants are aware they're in a study
+ high control over variables, high internal validity, standardised
- low ecological validity, demand charcteristics, can't be generalized
- field
conducted in everyday setting of participants
IV is still manipulated, participants not usually aware
+ higher ecological validity
- hard to control variables, ethical issues
TYPES OF EXPERIMENTS
- natural
conducted in everyday environment, but the IV is naturally occuring
+ high ecological validity, less demand characteristics, allows research on normally unethical things, get to study real life problems
-only a correlation as IV isnt manipulated, no control over variables, threat to internal validity
- quasi
the IV is naturally occured but the DV is measured, the IV has not been made to vary but its pre existing features (gender, ethnicity, age, LoC, sexuality)
+ allows comparisons between different types of people
- demand characteristics, impacts internal validity, normally artificial task= low ecological validity
TYPES OF SAMPLING
- opportunity those convenient or avaliable
+ easy, less time consuming
- biased (confident ones or those who don't work)
- random random number generator, lottery method, random table number
+ unbiased, everyone has an equal chance of selection
- time consuming
- volunteer advertise the study
+ access to a variety, less biased and more representitive
- volunteer bias (more helpful, confident, more time)
TYPES OF SAMPLING
- stratified
subgroups within a population are identified,selected through random allocation
+ representative
- very time consuming
- systematic
pretermined system (every nth person), the interval is applied continuously
+ unbiased
- bias unless you use random selection, then every nth person
ETHICAL ISSUES
- informed consent
- RPOV, revealing true aims, but then they may guess (demand characterisitcs)
- PPOV, basic human right of whether to participate
- deception
- RPOV, necessary to hold truth, you can withhold some aims but not provide false aims
- PPOV, unethical, leads to psychologosists seen as untrustworthy,wont want to participate
- right to withdraw
- RPOV, if they leave then the strong ones are left, biased sample
- PPOV, withdraw if uncomfortable, money or a reward are given which forces them to stay
- confidentiality
- RPOV, may be difficult if they're wanting to publish results, may only guarantee anonimity
- PPOV, only acceptable for a persons data to be recorded if the data hides the participant
- privacy
- RPOV, hard to avoid if you're doing a field/natural study
- PPOV, they won't be expecting to be studied, invasion of privacy
- protection from harm
- RPOV, vital questions may cause distress, difficult to predict outcomes, not guaranteed
- PPOV, must leave the study in the same state they arrived, no extra harm
DEALING WITH THESE ISSUES
- BPS guidelines
- cost benefit analysis
- ethics committee
- punishment of psychologist
- informed consent= presumptive, prior, parental consent
- deception= debriefing
- right to withdraw= told at start their right
- protection from harm= stop study if there's harm, avoid risks greater than everyday life
- confidentiality= shouldn't record names, just as numbers
- privacy= don't study anyone without informed consent
PROBLEMS WITH EXPERIMENTS
- demand characteristics
- the totality of cues that convey the experimental hypothesis to the participant that becomes determinates of the participants behaviour- Orne
- in experients, participants are unsure of what to do, they actively look for clues to see how they should behave.
- acts as an extraneous variable
- investigator effects
- any cues from an investigator that encourage a certain behaviour which will lead to the fulfiment of the experimentors expectations
- indirect- refers to situations where an investigator may not clearly specify the standardised procedure, leaves room for the results to be influenced by the experimenter.
- dealing with these issues
- single blind design
- participant is not aware of the aims/condition they're recieving
- double blind design
- both participant and experimentor are blind to the aims
- experimental realism
- if the task is engaging they'll focus on the study, not that they're being observed
- single blind design
OBSERVATIONAL TECHNIQUES
- naturalistic
- natural situation where everything is left as it was
- researcher does not interfere with the environment
- observing people in their natural environment (e.g child in nursery)
+ realistic, high ecological validity
- little control over other things that may impact their behaviour, unethical
- controlled
- variables are regulated by the researcher
- allows them to investigate the effects of certain things on another
+ able to establish cause and effect, highly controlled
- lack validity, demand characteristics if it isn't natural
OBSERVATIONAL TECHNIQUES
- overt, participant knows they're being observed
+ can gain informed consent
- investigator effects, demand characteristics, social desirability bias
- covert, participants unaware they're in a study
+ behaviour is natural, investigator effects are unlikely
- unethical
- participant, researcher is part of the group being observed
+ obtain in depth data
- presence might influence their behaviour, could be risky and dangerous is caught
- non-participant, observes from a distance and doesn't interact
- might overlook or miss important behaviours
OBSERVATIONAL DESIGN
- unstructured observation
- record all relevant behaviour with no system
- too much to record, only record the eyecatching/visible behaviour
- may use this approach as a pilot study for a structured observation later on
- structured observation
- aims to be objective and rigorous
- main two ways of observing is behavioural categories or sampling procedures
- behavioural categories
- should be objective
- cover all possible behaviours without having a waste/other category
- be mutally exclusive/specific, the behaviour shoudl fit into only one category
- sampling procedure
- event sampling
- counting the number of times a certain behaviour occurs in a target individual
- time sampling
- recording behaviours in a given time frame
- event sampling
SELF REPORT TECHNIQUES
- questionnaire
- set of written questions, to gain both quantitative and qualitative data, always structured
+ distributed to large number, high pop validity, reduces social desirability bias if anonomous
- biased sample, only those who can read or write or those with extra time
- structured interview
- pre-determined questions, a face-to-face questionnaire
+ standardised, easily repeated,
- interviewer bias, social desirability bias
- unstructured interview
- new questions are developed during the interview, known also as a "clinical interview"
+ more detail obtained
- social desirability bias, interviewer effects, trained interviewer=more costly
SELF REPORT DESIGN
- questionnaire construction
- writing good questions
- clarity
- bias
- analysis
- open/closed questions
- writing a good questionnaire
- filler questions
- sequence for the questions
- no leading questions
- pilot study
- writing good questions
- design of interviews
- recording the interview
- the effect of the interviewer
- non verbal communication
- listening skills
- questionning skills in unstructured interview
CORRELATIONS
- correlation
- systematic assosiation between two continous variables
- positive= two variables increase together
- negative=one variable increases as another decreases
- zero=no relashionship between the variables
- scattergrams
- way of presenting a correlation
- the scatter of the dots indicate the degree of correlation
- correlation coefficient
- a measure of the extent of correlation that exists between the two variables
- it is a number, maximum being +1, lowest being -1
- tells us how closely the variables are related
- to find out if it is significant, you have to use the table
MEASURES OF CENTRAL TENDENCY AND DISPERSION
- central dendency, tells us the central value of a set of data
- mean
- sensitive, takes account of all numbers= easily distorted
- median
- not affected by extreme scores, not sensitive enough
- mode
- unaffected by extreme values, not useful when there are multiple modes
- mean
- measures of dispersion, tells us how spread out the data is
- range
- easy to calculate, affected by extreme values, fails to take into account the distribution
- standard deviation
- precise measure of dispersion, easy to calculate, may hide some of the extreme values
- range
DISPLAY OF QUANTITATIVE DATA AND DATA DISTRIBUTION
- displays
- tables
- bar charts
- histograms
- line graph
- skattergram
- data distribution
- normal
- classic bell shaped curve
- predicted distribution when considering an equal likely set of results
- skewed
- not equally distributed around the mean
- postive (right foot shaped)
- negative (left foot shaped)
- think the shape of a foot (big toe to little toe)
- not equally distributed around the mean
- normal
TYPES OF DATA
- qualitative
- how/what they feel and think
- in depth detail, hard to analyse
- quantitative
- how many, how long, how much
- forced answer, easy to analyse
- primary
- first hand data gathered by researchers themselves
- time consuming, expensive
- secondary
- data collected from someone else earlier
- quick and easy, economical
PEER REVIEW
- peer review
- assesment of scientific by others
- serves 3 main purposes:
- allocation of research funding
- publication of research in academic journals and books
- assessing the research rating of a universities department
- evaluation
- hard to find an expert to analyse or review it
- poor research is passed on due to them not understanding, smith 1999
- anonymity is used so reviewers can be honest and objective
- however as it is a competitive environment, they may review them badly
- pulications tend to be positive and paid for, don't have true information
- publicator bias
- it results in theorys that follow existing theories being published, rather than contraversial ones
- still published if deemed poor research, we are eposed to unvalid research
- as the people reviewing th work are in the smae field, they may prevent it from being published on purpose as there is limited funding, and there's high competition.
- hard to find an expert to analyse or review it
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