Section 1: Methods Flashcards

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1
Q

4 types of experimental methods

A

laboratory experiment
field experiment
natural experiment
quasi experiment

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2
Q

laboratory experiments

A

aim to establish a cause/effect relationship an IV (manipulated) and a
DV (measured).

conducted in a controlled environment using standardised procedures.

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3
Q

laboratory experiments: strengths

A

P: High degree of control over variables
E: controlled environment: EVs controlled
E: eg standardise ecological variables
L: high internal validity

P: easy to replicate
E: controlled conditions can move repeated/same result
E: eg same lighting, noise etc
L: findings easily tested for reliability (test-retest)

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4
Q

laboratory experiments: limitations

A

P: high demand characteristics
E: aware they are being studied so may change behaviour
E: eg working out the aim of the study/ please you effect
L: not measuring true behaviour: low external validity

P: low ecological validity
E: artificial setting: not natural
E: participants may behave differently in a laboratory than if they were at school/ work/home etc
L: findings can’t be generalised to real life settings/situations

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5
Q

field experiments

A

aim to establish a cause/effect relationship an IV (manipulated) and a DV (measured)

they are conducted outside the laboratory in real-life environment or situations eg, public, school, work etc

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6
Q

field experiments: strengths

A

P: high ecological validity
E: real life setting so reflects natural behaviour
E: for example, studying in an area where the DV usually occurs (eg child aggression at school)
L: findings can be generalised to real life settings

P: low demand characteristics
E: outside of the laboratory: unaware of the research and act differently
E: wont be able to work out aim of the study due to cues given
L: measured true behaviour: high internal validity

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7
Q

field experiments: limitations

A

P: low degree of control over variables
E: conducted outside a controlled environment so difficult to control EVs
E: eg hard to standardise lighting, noise, etc: these may affect the DV and give inaccurate results
L: low internal validity

P: difficult to replicate
E: EVs aren’t all controlled so the conditions are hard to repeat in future replications if the study
E: eg ecological variables may vary
L: findings can’t be easily tested for reliability (consistency) (test-retest)

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8
Q

natural experiment

A

aim to establish a cause/effect relationship an IV and a DV

unlike other experiments the IV varies naturally and isn’t deliberately manipulated by the researcher: they take advantage of natural events

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9
Q

natural experiment: strengths

A

P: high ecological validity
E: real life setting so reflects natural behaviour
E: for example, studying in an area where the DV usually occurs (eg child aggression at school)
L: findings can be generalised to real life settings

P: provides opportunities for research that may not other wise be available
E: can study situations where it’s not possible to manipulate the IV
E: eg if it would be unethical/impractical (separating twins at birth)
L: researcher can gain knowledge and understanding when otherwise not possible

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10
Q

natural experiment: limitation

A

P: random allocation of participants to conditions isn’t possible
E: the IV varies naturally, so so does the participants condition (may be bias)
E: eg participants may be more intelligent in one condition (may not measure what is intended to measure- may affect DV)
L: low internal validity

P: difficult to replicate
E: IV isn’t deliberately manipulated so, the conditions are hard to repeat in future replications it the study
E: eg ecological variables may vary
L: findings can’t be easily tested for reliability (consistency) (test-retest)

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11
Q

quasi experiment

A

aim to establish a cause/effect relationship an IV and a DV

unlike other experiments the IV doesn’t ‘cary’ at all because the conditions already exist, such as gender/age/IQ (individual differences)

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12
Q

quasi experiment: strengths

A

P: high ecological validity
E: real life setting so reflects natural behaviour
E: for example, studying in an area where the DV usually occurs (eg child aggression at school)
L: findings can be generalised to real life settings

P: provides opportunities for research that may not other wise be available
E: can study situations where it’s not possible to manipulate the IV
E: eg studying age, gender, personality type
L: researcher can gain knowledge and understanding when otherwise not possible

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13
Q

quasi experiment: limitations

A

P: random allocation of participants to conditions isn’t possible
E: the IV already exists, so so does the participants condition (may be bias)
E: eg participants may be more intelligent in one condition (may not measure what is intended to measure- may affect DV)
L: low internal validity

P: difficult to replicate
E: IV isn’t deliberately manipulated and it takes place in the real world so, the conditions are hard to repeat in future replications if the study
E: eg ecological variables may vary
L: findings can’t be easily tested for reliability (consistency) (test-retest)

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14
Q

What distinguishes experimental methods from the other methods?

A

All experiments have: IV, DV, cause and effect relationship. The aim is to establish the cause and effect relationships between the IV and the DV.

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15
Q

what is a case study

A

a case study is an in depth investigation of a single individual, group, institution, or event.

they often involve analysis of unusual individuals or events, such as a person with a rare disorder or the london riots

case studies make use of a range of methods/techniques and use a range of sources too, such as the person involved and also their friends/family

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16
Q

explain the process of a case study

A

the case study is a scientific research method and therefore aims to use objective and systematic methods.
however, as part of a case study, many techniques may be used - the people may be interviewed or they might be observed while engaged in daily life.
psychologists might use IQ or personality tests or some other kind of questionnaire to produce psychological data about the target person or group of people.
they may also use the experimental method to test what the target person/people can/ cannot do for example, Genie

conducting a case study usually - though not exclusively- involves the production of qualitative data.
researchers will construct a case history of the individuals) concerned.
however, quantitative data may also be included, such as their scores from psychological tests.

case studies also tend to take place over a long period of time (longitudinal) as data is gathered over time from a range of tests and a variety of sources.

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17
Q

case studies: strengths

A

P: provide rich, detailed data
E: use of ‘case histories’ and multiple testing techniques enables researchers to build up an in-depth analysis of the case being studied
E: eg, unlike experiments where the focus is often on one variable as all others are controlled and held constant, case studies can provide insights into the complex interaction of may different factors (variables)
L: can help to identify important factors that may be overlooked by other, more
‘superficial’ methods

P: allows behaviours that would be unethical to deliberately manipulate to be studies
E: means that it helps provide unique insights that would not be possible using other methods since it would go against the ethical code
E: eg, enable specific forms of brain damage (eg Clive Wearing) or cases of extreme child neglect (eg Genie) to be investigates
L: can lead to pioneering and revolutionary findings that otherwise wouldn’t have been discovered

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18
Q

case studies: limitations

A

P: may lack validity
E: lack popularity validity due to their focus on very limited sample sizes making it difficult to generalise the findings to the wider population, and they may also lack internal validity
E: eg, interviews and questionnaires used W the target individual(s) and their family/ friends may be prone to social desirability effects, memory decay and inaccuracy, especially if focussed on their childhood. the info that makes it into the final research report is also based on the subjective selection and interpretation of the researcher.
L: may be seen as less scientific than other research methods
E: may also be low in temporal validity; seen as a ‘child of its time’

P: can suffer from ethical issues
E: informed consent and confidentiality in particular can be problematic
E: eg, even when real names are not given, many cases are still easily identifiable bc of their unique nature. many individuals are unable to give true informed consent as they are too young (eg Little Hans) or unable to fully comprehend what they are consenting thing (eg Clive Wearing)
L: may go against the ethical code of conduct
E: lack of protection from harm (eg vulnerable) lack of right to withdraw (covert observations in daily life)

• cannot be easily replicated; rare/difficult to repeat so difficult to test findings for reliability

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19
Q

case studies examples

A

• Clive Wearing (memory)
• KF (memory)
• Genie (attachment)
• HM (memory)
• Little Hans

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20
Q

what is an observation

A

observations involve watching pots and recording their behaviour

all observational techniques are non-experimental (no IV and DV and no attempt to establish a cause and effect relationship)

there are many difficult types of observation such as naturalistic and controlled observations

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21
Q

types of observation

A

naturalistic OR controlled
overt OR covert
participant OR non-participant

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22
Q

naturalistic observation

A

watching and recording behaviour in a natural environment where the researcher does not influence the situation of ppts in any way

the aim is to record real-life behaviour

eg, watching infants play at nursery or observing animals in a zoo

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23
Q

naturalistic observation: strengths

A

P: high ecological validity
E: observed in a natural environment and not an artificial setting like a laboratory, so ppts will behave naturally
E: eg observing infants in a nursery
L: findings are more representative and can be generalised to real life situations

P: low demand characteristics
E: observed in a natural environment and not an artificial setting like a laboratory so ppts are less likely to guess the aim of the study
E: eg, wont change their behaviour to please the researcher by giving the results they think are expected
L: ppts act naturally which increases internal validity

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24
Q

naturalistic observation: limitations

A

P: low degree of control
E: it is in a natural environment that is not influenced by the researcher so it is difficult to control extraneous variables
E: eg, in a naturalistic observation of children in a classroom it is difficult to control who else is in the room, noise levels, etc.
L: may not measure what it intends to, decreases internal validity

P: difficult to replicate
E: unlike a controlled observation, the natural setting is not influenced by the researcher so it is difficult to repeat the exact same conditions in future replications of the study
E: lighting, noise levels, and aspects of the environment cannot be easily set in the exact same way
L: findings cannot be easily tested for reliability

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25
Q

controlled observations

A

watching and recording behaviour in an environment which has been regulated and controlled by the researcher (eg. a laboratory)

this allows the researcher to test very specific situations whilst also reducing the influence of extraneous variables

one example might be observing infants’ responses as they experience a series of pre-planned situations

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26
Q

controlled observation: strengths

A

P: high degree of control
E: it is in an artificial environment that is influenced by the researcher so it is easier to control extraneous variables
E: eg, in a controlled observation of children in an artificial classroom it is easy to control who else is in the room, noise levels, etc.
L: measures what it intends to, increases internal validity

P: easy to replicate
E: unlike a naturalistic observation, the artificial setting is influenced by the researcher so it is easy to repeat the exact same conditions in future replications of the study
E: lighting, noise levels, and aspects of the environment can be easily set in the exact same way
L: findings can be easily tested for reliability

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27
Q

overt observations

A

ppts are made aware that their behaviour is being watched and recorded, regardless of the setting in which they are being observed

as this awareness often impacts on how naturally the ppts behave, observers try to be as unobtrusive as possible

eg, they may observe from behind a two-way mirror, hidden from view: this would still be classed as overt if ppts knew beforehand they were being observed

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28
Q

overt observations: strengths

A

P: often seen as more ethical
E: because ppts know their behaviour is being watched and recorded so they are able to give full informed consent
E: eg, students being observed in a classroom can give the researcher permission to watch and record their behaviour
L: doesn’t go against the ethical code of conduct
E: gaining full informed consent also means that the ppts can be observed in non-public places

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29
Q

overt observations: limitations

A

P: high demand characteristics
E: ppts are aware they are being studied so may change their behaviour and act unnaturally, and are more likely to guess the aim of the study
E: eg, may change their behaviour to please the researcher by giving the results they think are expected
L: not measuring true behaviour which decreases internal validity

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30
Q

covert observations

A

ppts are not aware that their behaviour is being watched and recorded

as a result, unlike an overt observation, in a covert observation ppts will not have given their informed consent to take part

behaviour is observed in secret, such as from a balcony or a hidden camera

such behaviour must be public and happening anyway if the observation is to be viewed as ethical

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31
Q

covert observations: strengths

A

P: low demand characteristics
E: ppts are not aware they are being studied so won’t change their behaviour and will act naturally, and are less likely to guess the aim of the study
E: eg, wont change their behaviour to please the researcher by giving the results they think are expected
L: measuring true behaviour which increases internal validity

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32
Q

covert observations: limitations

A

P: can raise ethical issues
E: because ppts do not know their behaviour is being watched and recorded they aren’t able to give full informed consent
E: eg, students being observed in a classroom can’t give the researcher permission to watch and record their behaviour
L: may go against the ethical code of conduct
E: not gaining full informed consent also means that the ppts can’t be observed in non-public places

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33
Q

non-participant observation

A

researcher remains separate from the people they are studying and records behaviour in a more objective manner

the observer watches the behaviour from a distance and does not interact with the people being observed

more common that participant observations bc it may often be impossible or impractical to join a particular group so non-participation is the only option (eg a female researcher observing boys at school)

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34
Q

non-participant observation: strengths

A

P: low investigator effects
E: the researcher isn’t involved in the study so is less likely to give ppts cues that might encourage them to exhibit certain behaviours
E: eg, the observer wont be able to influence the ppts and therefore the results
L: measuring true behaviour so increases internal validity

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35
Q

non-participant observation: limitations

A

P: lack of first sight insight into behaviour
E: the researcher cannot interact in the social behavioural processes so most data collected will be qualitative and interpretive
E: eg, doing a study on a particular cult while not being involved can be difficult to gain a clear insight into true behaviour
L: findings of the observation may be limited

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36
Q

participant observation

A

the observer is part of the group being observed

the observer watched behaviour from within the social situation being studied, acting as one of the group and even interacting with the group being observed (which may affect objectivity)

eg, joining a criminal gang or researching what it is like being a worker in a factor by joining the workforce and producing a first-hand account rather than simply observing workers from a distance

37
Q

participant observation: strengths

A

P: gives a first hand insight into behaviour
E: the researcher can interact in the social behavioural processes so data will be more reliable and in depth
E: eg, doing a study on a criminal gang by joining it can help gain a clear insight into true behaviours
L: findings of the observation are less limited, more nuanced, and can help to develop a deeper understanding

38
Q

participant observation: limitations

A

P: suffers from investigator effects
E: the researcher is involved in the study so is more likely to give ppts cues that might encourage them to exhibit certain behaviours and act unnaturally
E: eg, the observer may influence the ppts and therefore may skew the results
L: may not be measuring true behaviour so decreases internal validity

39
Q

what is observer bias

A

when observers expectations influence what the researcher sees or hears or even the data that they record

this makes the observation less objective and reduces the internal validity of the research findings

eg, expecting boys to be more aggressive than girls may lead a researcher to spend more time looking for aggression in boys and be more likely to interpret their behaviour as aggressive or score boys higher on an aggression scale for the same behaviour as girls

40
Q

how to reduce observer bias

A
  • have more than one observer and compare the findings/ratings to ensure validity/reliability (+0.8 correlation)
  • use a non-participant observation to be more objective and less likely to unfairly influence the pots behaviours and skew the results ?
  • Double blind observations
41
Q

how to increase validity of observations

A
  • Carry out a naturalistic or covert or non-participant observation so participants don’t change their behaviour (reduce observer bias and investigator effects)
  • Double blind observations to reduce observer bias
  • Clearly operationalised coding system.
42
Q

how to increase reliability of observations

A
  • Clearly operationalised coding system
  • Check inter-rater and inter-observer reliability
  • Train researchers to use coding system to ensure there is a consistent understanding of the behavioural categories
  • Conduct a pilot study to check behaviour categories
43
Q

what is a self report technique

A

any method in which a person is asked to state or explain their own opinion, feelings or experiences on a given topic

44
Q

types of self report technique

A

questionnaires

interviews

45
Q

what is a questionnaire

A

a set of written questions on a topic to assess the ppts thoughts, feelings and opinions

questionnaires are always predetermined and structured unlike interviews which can be structured or unstructured

questionnaires can include open questions (require a written response in words) or closed questions (give a limited number of options to choose from) or a mixture of both

46
Q

types of question

A

open

closed

47
Q

closed questions

A

a closed question offers a fixed number of responses

this may involve questions with a simple yes or no response

alternatively, they may ask ppts to rate themselves on a fixed scale

48
Q

what kind of data do closed questions collect

A

quantitative

49
Q

closed questions: strengths

A

P: produces data that is easily analysed
E: since there is a fixed set of responses, closed qs produce quantitative data which can be analysed easily by the researcher
E: eg, for questions rating on a scale of 1-5, averages can be found from the results
L: makes it easier to study the findings and test for reliability
E: this type of data is also less likely to be misinterpreted

50
Q

closed questions: limitations

A

P: can produce ‘response set bias’
E: where ppts always respond in a similar way (eg always ticking yes or agree of at the same end of the rating scale)
E: this my be bc they are trying to complete the questionnaire too quickly and fail to read the questions properly
L: would lead to invalid results if it isn’t an accurate representation of their views

P: data is limited
E: because the response options are fixed the answers the ppts give may lack detail
E: eg, just having yes or no means ppts cant fully explain their answer or expand on their viewpoint
L: cant gain full insight or as deep of an understanding as you would with open questions

51
Q

open questions

A

open questions don’t have a fixed range of answers and respondents are free to answer in any way they wish

as a result, open questions tend to produce more detailed responses

often the researcher simply asks a question and provides space underneath for the respondent to write their answer

52
Q

what time of data do open ended questions collect

A

qualitative

53
Q

open ended questions: advantage

A

P: produces detailed data
E: because the response options are not limited, ppts can give extensive and detailed answers
E: eg, a question like “what are your views on the education system?” means ppts can fully explain their answer and expand on their viewpoint
L: can gain full insight and a deep understanding which you wouldn’t get from closed questions
E: this type of data is also less likely to be misinterpreted

54
Q

open ended questions: disadvantage

A

P: produces data that can’t be easily analysed
E: since there isnt fixed set of responses, open qs produce qualitative data which can’t be analysed easily by the researcher
E: eg, for questions asking the respondent to explain their view on a topic you cant calculate average answers
L: makes it more difficult to study the findings and test for reliability

55
Q

what may happen if questions are ambiguous

A

ppts may misunderstand which may lead to invalid responses

56
Q

how to check whether questions are ambiguous

A

use a pilot study

57
Q

possible problems with questions on a questionnaire

A
  • two options in one: may only agree w one option
    eg ‘crime is due to poor education and bad housing’
  • leading: encourages respondent to give a particular answer or agree to appear sensible (social desirability bias)
    eg ‘any sensible person would agree that…’
  • factual: cant strongly disagree with a factual statement
    eg ‘the queen is very rich’
  • ambiguous: lead to unclear and invalid responses
    eg ‘i believe in the monarchy’
  • complex/too long/complicated/uses jargon: respondents must understand the entire question
  • double negatives: may confuse respondents
  • too personal/sensitive: may not answer truthfully (social desirability bias)
58
Q

possible issues with questionnaires/ how to deal with them

A
  1. respondents may be unwilling to give honest answers abt sensitive issues such as their age and weight or their parenting abilities. if ppts aren’t honest when answering personal questions and give false answers bc they think it puts them in a more positive light, this is known as social desirability bias. if ppts provide dishonest info in this way, the findings will be low in internal validity.
    guaranteeing confidentiality can help with this issue whilst also addressing an ethical issue and the same time
  2. may be high in demand characteristics if when answering the questionnaire it may become clear to the ppts what the researcher is aiming to discover which might, in turn, affect the way they answer and reduce internal validity.
    researcher could use ‘filter questions’ on different topics so it’s less clear what they are aiming to discover
  3. the question sequence may cause distress in the respondent, and affect the way they answer.
    researcher could start with easier questions, saving more complex or personal questions until the respondent is more relaxed.
59
Q

how might you administer a questionnaire / potential issues

A
  • sending them out on mass in the post to everyone in the local area, ppl are asked to fill out their responses and send them back to the researcher (volunteer).
    issue: usually the same types of people who volunteer (low population validity)
  • questionnaires going out with copies of a particular newspaper or magazine which would produce a similar sample.
    issue: only people who read that magazine/section will answer the questionnaire (low population validity)
60
Q

what is an interview

A

asking ppts questions face-to-face on a topic to assess the ppts thoughts, feelings and opinions

can be structured (a pre-set questionnaire being read out by an interviewer)

can be unstructured (free flowing conversation without a reliance on pre-determined questions)

can be semi-structured interviews (a mixture of the two approaches)

61
Q

possible problems with questions in an interview

A
  • leading: encourages respondent to give a particular answer or agree to appear sensible
    eg ‘any sensible person would agree that…’
  • factual: cant strongly disagree with a factual statement
    eg, ‘do you think the queen is very rich?’
  • ambiguous: lead to unclear and invalid responses
    eg ‘do you believe in the monarchy?’
  • complex/too long/complicated/uses jargon: respondents must understand the entire question
  • double negatives: may confuse respondents
  • too personal/sensitive: may not answer truthfully
62
Q

compare interviews/questionnaire advantages/disadvantages

A
  • in interviews the researcher is present so there could be investigator effects; ppts responses may be affected by the tone of voice or body language which may reduce internal validity, whereas in questionnaires the researcher is absent so there are no investigator effects and it has higher internal validity
  • in interviews the researcher is present so if questions are ambiguous the respondent can ask for clarification, whereas in questionnaires the researcher is absent so if questions are ambiguous the respondent may have to go with what they think which may be inaccurate, leading to invalid responses
  • questionnaires are more easily distributed so it is easier to accumulate a larger sample of respondents, which may help to give higher population validity since findings can be generalised to the wider population, whereasin interviews it is difficult to use a large sample of ppts so findings are less representative and it has lower population validity
  • in interviews the researcher is present so can gain extra data and details from observations of the respondents tone of voice and body language, whereas in questionnaires the researcher is absent so data is purely in written word form or from a fixed set of responses, so they may not gain as in depth information
  • interviews more commonly gather qualitative data which is more difficult to be analysed (eg, cant calculate averages) yet is more detailed and in-depth (less easily misinterpreted) whereas questionnaires more commonly gather quantitative data which is easier to be analysed (eg can calculate averages) yet is less detailed and in-depth (more easily misinterpreted)
  • questionnaires are quick and cheap whereas interviews are more time consuming and costly
  • questionnaires often guarantee anonymity and confidentiality which may allow respondents to give more honest answers (eg to personal questions) so results are more accurate/valid whereas interviews may be public and not anonymous so respondents may give less honest answers and there is more likely social desirability bias
63
Q

structured interviews

A
  • structured interviews are made up of a pre-determined set of questions that are asked in a fixed order
  • in this sense, the design of structured interviews is similar to the design of questionnaires
  • this allows the interview to follow a much more standardised format for each ppt
  • the only real differences to a questionnaire are that structured interviews are conducted face-to-face (or over the phone) in real-time (i.e the interviewer asks the questions and waits for a response)
64
Q

structured interviews: strengths

A

P: structured interviews can be easily replicated
E: questions are predetermined so are standardised for each ppt
E: can repeat the interview in the exact same way w the same questions for other respondents
L: findings can be easily tested for reliability

P: low investigator effects
E: although the researcher is present, they are asking pre-set questions so their behaviour is less likely to change and influence the ppt to respond in a particular way
E: eg their tone of voice, body languages and spoken words are less likely to impact the ppts responses
L: increases internal validity

65
Q

structured interviews: limitations

A

P: less detailed
E: pre-determined questions so there is less flexibility to explore a topic
E: eg, cant add new questions during the course of the interview based of the ppts responses
L: may produce less in depth results compared to unstructured interviews

P: more chance of social desirability bias
E: not free flowing so there is less ability to establish trust and rapport between the respondent and the interviewer
E: may make the respondent give dishonest answers to present themselves in a more positive light
L: may produce invalid and inaccurate responses compared to an unstructured interview

66
Q

unstructured interviews: strengths

A

P: more detailed
E: free flowing conversation without set questions so there is more flexibility to explore a topic
E: eg, can add new questions during the course of the interview based of the ppts responses
L: may produce more in depth results compared to structured interviews

P: less chance of social desirability bias
E: free flowing and conversational so there is more ability to establish trust and rapport between the respondent and the interviewer
E: may make it easier for the respondent to give honest answers rather than false ones to present themselves in a more positive light
L: more likely to produce valid and accurate responses compared to an structured interview

67
Q

unstructured interviews: limitations

A

P: cant be easily replicated
E unstructured interviews are free flowing w no set questions so aren’t standardised for all ppts
E: difficult to repeat the interview in the exact same way w the same questions for other respondents
L: findings can’t be easily tested for reliability

P: more chance of investigator effects
E: since it isn’t pre-determined the researcher can ask any questions in any way they like so their behaviour is more likely to change and influence the ppt to respond in a particular way
E: eg their tone of voice, body languages and spoken words are more likely to impact the ppts responses
L: decreases internal validity

68
Q

semi-structured interviews

A

semi-structured interviews are also often used as a compromise between the structured and unstructured interview types

there may be a list of pre-determined questions but also freedom for the interviewer to ask follow-up questions when they feel it is appropriate

69
Q

what may all interviews benefit from

A

being recorded or videotaped: makes it easy to analyse in detail

transcribe (write down) everything that was said and all behaviours

70
Q

what is a correlation

A

research which analyses the strength and direction of a relationship (or association) between two co-variables.

co-variables is the name given to the variables in a correlation that are being analysed to see if they have a relationship.

correlations require quantitative data (numerical data) which is plotted on a scattergram.

the main types of correlation are positive correlations, negative correlations and zero correlations.

71
Q

what are co-variables

A

co-variables is the name given to the variables in a correlation that are being analysed to see if they have a relationship

72
Q

what data do correlations need

A

correlations require quantitative data (numerical data) which is plotted on a scattergram

73
Q

what type of graph are correlations plotted on

A

scattergram (scattergraph)

74
Q

three main types of correlation

A
  • positive
  • negative
  • zero
75
Q

difference between correlations and experiments

A

in experiments, one variable is manipulated (the IV) whilst one is measured (the DV) which allows the researcher to establish a cause and effect relationship between variables

whereas, in a correlation there is no manipulation of one variable and therefore it is not possible to establish cause and effect. a correlation measured two variables (called co-variables) and simply established an association or relationship

76
Q

what is a positive correlation

A

as one co-variable increases, so too does the other.

for example, the more caffeine people drink, the higher their level of anxiety

77
Q

what is a negative correlation

A

as one co-variable increases, the other decreases.

for example, the more caffeine people drink, the less sleep they have

78
Q

what is a zero correlation

A

there is no relationship (or association) between the co-variables

for example, there is no relationship between peoples height and their intelligence

79
Q

how do you plot a scattergram?

A

for each participant in a correlation, we obtain two scores (eg hours of revision, test score) which are used to plot one dot in the scattergram for the individual

the co variables determine the X and Y position of the dot

the ‘scatter’ of the dot indicates the degree of correlation between the co-variables

80
Q

what is meant by a correlation coefficient

A

a number that represents the strength and direction of the relationship between two co-variables

the correlation co-efficient varies on a scale between -1 and +1

on this scale, -1 represents a perfect negative correlation, +1 represents a prefect positive correlation and 0 represents no correlation

81
Q

how can you describe correlation coefficients in words and from where on the scale?

A

+1 perfect positive correlation
+0.5 to +1 strong positive correlation
0 to +0.5 weak positive correlation
0 no correlation
-0.5 to 0 weak negative correlation
-0.5 to -1 strong negative correlation
-1 perfect negative correlation

82
Q

what to psychologists aim for for a strong correlation coefficient

A

-0.8 or +0.8

83
Q

non directional correlational hypothesis template

A

there will be a significant correlation between (covariable 1) and (covariable 2)

84
Q

positive directional correlational hypothesis template

A

there will be a significant positive correlation between (covariable 1) and (covariable 2)

85
Q

negative directional correlational hypothesis template

A

there will be a significant negative correlation between (covariable 1) and (covariable 2)

86
Q

when can you have a directional correlational hypothesis

A

if you can predict the direction of the relationship because it has been justified by previous research

87
Q

advantages of correlational analysis

A

P: easy to analyse
E: correlations use quantitative data which allow scattergram a and correlation coefficients to be produced for results to be clear at-a-glance
E: eg, correlation coefficients clearly show the strength and direction of a relationship between variables
L: enables the researcher to compare and contrast results easily

P: sows the seeds for future research
E: correlational analysis can identify if there is a link between variables which may open up new lines of research
E: eg, further research using the experimental method could then be used to indicate the chances of the relationship being a cause and effect relationship
L: further research would then help to expand our understanding of the world

88
Q

disadvantages of correlational analysis

A

P: does not establish cause and effect
E: correlations only establish a relationship (or association) between two co-variables but cannot say that one co-variable ‘caused’ the change in the other co-variable
E: eg, just because healthier diets may be linked to better performance on a memory test, this does not mean that a good diet causes the better memory
L: limits the extent to which the researcher can draw firm conclusions from the research

P: third variable problem
E: we cannot be sure the relationship that exists is due to the two variables being studied and not due to a third variable that is not measured
E: eg, studying the link between stress and illness we assume that they are linked, however, it may be that stress reduces the amount of a sleep a person gets and it is lack of sleep (the third variable) that increases illness, not stress
L: correlations might be misleading