Research Methods B Flashcards

1
Q

BPS

A

The British psychological society

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2
Q

The British psychological society

A

A professional body with a code of ethics which includes a set of ethical guidelines

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3
Q

BPS code of ethics

A

A set of ethical guidelines

Outlines what types of things are unacceptable

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4
Q

What are ethical guidelines?

A

Gives ways to deal with ethical issues

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5
Q

Difference between ethical issue and an ethical guideline

A

Issues are the difficulties faced by the researcher in terms of what they would like to do to the participants, whereas guidelines show them how to do it in a responsible way

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6
Q

What’s an ethics committee

A

A group of professionals who look at the research proposal to decide whether or not it should be allowed

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7
Q

Cost benefit analysis

A

Weighing up whether the price paid by the participant is worth it

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8
Q

What are Ethical issues

A

Issues that arise when a conflict exists between the rights of participants and the goals of the research to provide meaningful, valid data

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9
Q

Name the ethical issues

A
Consent
Confidentiality
Deception
Withdraw
Protection
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10
Q

Difference between confidentiality and privacy

A

Confidentiality is not sharing other people’s details. Personal info
Privacy is freedom from intrusion. Personal matters

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11
Q

Ways researchers might try to deal with informed consent

A

Participants should be given full details of the study including the aims, what they will be asked to do and how the data will be used.
Only once they have this info they should be asked to formally indicate their agreement to take part in the study
If under 16, a signature by a parent or guardian is required

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12
Q

Other ways of dealing with informed consent

A

Presumptive consent
Prior general consent
Retrospective consent

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13
Q

Presumptive consent

A

Rather than getting consent from the participants, a similar group of people are asked if the study is acceptable

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14
Q

Prior general consent

A

Participants give their permission to take part in a number of different studies- including one that will involve deception

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15
Q

Retrospective consent

A

Participants are asked for their consent having already taken part in the study. They may not have been aware of their participation

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16
Q

Problems that might occur when the researcher deals with informed consent

A

Knowing the aim of the study can lead to participants not acting naturally so little of value is learned. So sometimes other ways of dealing with informed consent are used

There is still no guarantee that the participant does actually understand what they’re agreeing to be part of

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17
Q

Ways researchers might try to deal with deception

A

Avoid it if at all possible particularly if it seems likely that participants will object when they find out later
Debrief participants fully after the study and give them a chance to withdraw their data
Gain the approval of an ethics committee who will weight up the benefits of the study alongside the costs to the participant

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18
Q

Ways researchers might try to deal with the right to withdraw

A

Participants should be told their participation is entirely voluntary and they can leave at any point and they can take their data if they wish

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19
Q

Ways researchers might try to deal with protection from harm

A

Steps should be taken to ensure p’s aren’t physically or psychologically harmed
P’s shouldn’t be placed at anymore risk than they would in their normal lives which includes the feeling of embarrassment or stress
The study should be stopped immediately if the p’s appear to be uncomfortable, they can then withhold their data
P’s should be reassured at the end of the study if they feel embarrassed or concerned. The researched should provide counselling if required

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20
Q

Ways researchers might try to deal with confidentiality

A

P’s name not used and instead they should be referred to as a letter or number or use a fake name
Nothing that would identify the p (e.g. photos or addresses) should be published

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21
Q

Problems that might occur when the researcher deals with deception

A

Debriefing doesn’t stop the p feeling uncomfortable or embarrassed

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22
Q

Problems that might occur when the researcher deals with the right to withdraw

A

P’s may still feel they cannot withdraw because they are worried they might spoil the research. This is particularly true if they are being paid to take part

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23
Q

Problems that might occur when the researcher deals with protection form harm

A

It’s hard to predict the risks involved in some studies until real p’s are actually involved

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24
Q

Problems that might occur when the researcher deals with confidentiality

A

It’s sometimes impossible to still work out who the p’s are

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25
What should a debrief include
The studies’ aim / purpose Explain any deception, provide right to withdraw, emphasise confidentiality The conditions and/or manipulations – what they were, how did they differ Offering of help/details of researcher provided Any questions?
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What format should the debrief be in?
Verbatim
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What do observation studies involve
Watching and recording people’s behaviours
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Types of observation techniques
``` Naturalistic Controlled Overt Covert Participant Non-participant ```
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Naturalistic observation technique
Observing people in the natural environments Behaviour isn’t controlled. Researcher doesn’t interfere People can choose how to behave
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Controlled observation technique
Some variables in the environment are regulated/manipulated by the researcher Researcher can investigate the effect of certain things on behaviour Can take place in lab or natural setting
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Covert observation technique
Participants are not aware that they are being observed
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Overt observation technique
Participants are aware that they are being observed. Paragraph the research is not hidden/can be seen
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Participant observation technique
Observers become actively involved in the situation being studied to gain “hands on“ experience
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Nonparticipant observation technique
Researchers do not become actively involved in the situation
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Observational designs
Structured | Unstructured
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Structured observational design
Researchers provide some structure. Behaviour categories and sampling methods are used
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Unstructured observational design
Write down everything you see
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Structured behavioural categories observational design
This involves breaking a target behaviour down into observable and measurable components They should be: objective, cover all possible behaviours and be mutually exclusive These categories are then organised into a table with the space to tally the number of times each one occurs Pilot study – smaller scale version of your study – to decide your behaviour categories in an observation
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Structured sampling methods observational design
Time sampling | Event sampling
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Time sampling
Counting behaviour in a set time frame | E.g. recording what behaviour is exhibited for 1 minute every 10 minutes using behaviour checklist
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Event sampling
Counting the number of times a behaviour occurs in a target individual or individuals
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Inter observer reliability
The extent to which there is agreement between two or more observers involved in an observation of behaviour Observations should be consistent- ideally two observers should produce the same record Lessens the chances of observer bias
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Observer bias
When an observer records behaviour in a subjective way (seeing what they want to see)
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Types of self techniques
Questionnaire | Interview
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Questionnaire | Open questions
Doesn’t have a fixed range of answers and respondents are free to answer in any way they wish
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Questionnaire | Closed questions
Offers a fixed number of responses Likert scales Rating scales Fixed choice options
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Questionnaire advantages
Less expensive than interviews because can gather large amounts of info quickly as can be distributed to many people Answers from closed questions are straightforward to analysis as there’s only fixed choice answers
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Questionnaire disadvantage
Responses may not be truthful because p’s May be presenting themselves in a positive light- influencing their answers Typically have low response rates as there’s no pressure to actually answer the questionnaire People can read the questions wrong
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Interview | Unstructured interview
No set questions General aim that a certain topic will be discussed Interaction tends to be free flowing
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Interview | Semi structured interview
List of questions have been worked out in advance but interviewers are free to ask follow up questions
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Interview | Structured interview
Made up of a predetermined set of questions that are asked in a fixed order
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Interview advantage
unstructured interviews more flexible as interviewers can follow up points Allow participants to expand on certain topics in more detail than would on a questionnaire
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Interview disadvantages
Answers from unstructured interviews are harder to analyse Risk that interviewees lies for social desirability Expensive - interviewer, room, travel cost
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Naturalistic Observation Evaluation
Tend to have high external validity as findings can often be generalised to every day life, as the behaviours studied are within environment where it would normally occur The lack of control over the research situation makes replication of the investigation difficult May also be uncontrolled extraneous variables that make it more difficult to judge any pattern of behaviour
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Controlled observation evaluation
May produce findings that cannot be as readily applied to real life settings Extraneous variables may be less of a factor so replication of the observation becomes easier
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Covert observation evaluation
The fact that participants do not know that they are being watched removes the problem of participant reactivity and ensures any behaviour observed to be natural this increases the validity of data gathered however the ethics of this study may be questioned as people even in public may not wish to have their behaviours noted down.
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Overt observation evaluation
More ethically acceptable but the knowledge participants have that they are being observed may act as a significant influence on their behaviour
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Participant observation evaluation
The researcher can experience the situation as the participants do, giving them increased insight into the lives of the people being studied. This may increase the validity of the findings However the researcher may come to identify too strongly with those they are studying and lose objectivity. Some researchers refer to this as going native when the line between being a researcher and being a participant becomes blurred
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Nonparticipant observation evaluation
Allow the researcher to remain an objective psychological distance from the participant so there is less danger of them going native However they may lose the valuable insight to be gained in a participant observation as they are too far removed from the people and behaviour they are studying
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Structured observation design evaluation
Involves the use of behavioural categories and making the record of data is more systematic Data produced is likely to be numerical which means that analysing and comparing the behaviour observed between participants is more straightforward In contrast unstructured observations tend to produce qualitative data which may be much more difficult to record and analyse
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Unstructured observation design evaluation
Benefit from a more richness and depth of detail in the data collected though there may be a greater risk of a observer bias with unstructured observations as the objective behavioural categories that are feature of structured observations are not present here The Researcher may only record these behaviours that catch their eye and this may not be the most important or useful
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Behavioural categories design evaluation
Can make data collection more structured and objective although it’s important that such categories are as clear and unambiguous as possible They must be observable measurable and self-evident. They should not require further interpretation Researchers should also ensure that all possible forms of the target behaviour are included in the checklist Categories should be exclusive and not overlap
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event Sampling methods design evaluation
Event sampling is useful when the target behaviour or event happens quite infrequently and could be missed if time sampling was used However if the specified event is too complex the observer may overlook important details if using event sampling
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Time sampling methods design evaluation
Effective in reducing the number of observations that have been made That said those instances when behaviour is sampled might be unrepresentative of the observation as a whole
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Qualitative data
Data that is expressed in words are non-numerical
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Quantitative data
Data that can be counted, usually given as numbers
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Qualitative data pros and cons
+ offers much more richness of detail. It is a much broader in scope and gives the participant more license to develop their thoughts feelings and opinions on the subject + tends to have greater external validity. Provides the researcher with a more meaningful insight into the participants worldview X often difficult to analyse. Tends not to lend it self to be summarised statistically so that comparisons within and between data may be hard to identify X Conclusions often rely on subjective interpretations of the researcher and these may be subject to bias
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Quantitative data pros and cons
+ Relatively simple to analyse, therefore comparisons between groups can be easily drawn + data in numerical form tends to be more objective and less open to bias X quantitative data is much narrower in scope and meaning, thus may fail to represent real life
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Correlation definition
A mathematical technique in which a researcher investigates an association between two variables, called covariables
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Covariables definition
The variables investigated within a correlation, for example height and weight They’re not referred to as the independent and dependent variables because a correlation investigates the association between the variables, rather than trying to show a cause and effect relationship
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Positive correlation
As one covariable increases so does the other
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Negative correlation
As one covariable increases the other decreases
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zero correlation
When there is no relationship between the covariables
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Correlation coefficient
A number between -1 and +1 that tells us how closely the covariables in a correlation analysis are linked
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Difference between correlations and experiments
``` Experiments- Repeated measures design Bar charts IV Cause and effect Matched pairs design Independent measures design Looking for a difference DV ``` ``` Correlations- Looking for a relationship Scattergram Covariable 1 and 2 Continuous variables Correlation coefficient ``` Both- Testing data significance Quantitive data Hypothesis
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Measures of central tendency
Averages which give us info about the most typical values in a set of data Mean, median and mode
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Mean advantages and disadvantages
+ Uses all the data, most sensitive | Xcan be affected by extreme scores – misrepresentative
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Mode pros and cons
+ Easy to calculate. Can be used when the data is in categories X could have more than one answer
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Median pros and cons
+ Cannot be affected by extreme scores | Xdoesn’t use all data – less sensitive
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Measures of dispersion
Based on the spread of scores; that is, how far scores vary differently from one another Range and standard deviation
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Standard deviation
Measure of dispersion in a set of scores. It tells us how much scores deviate from the mean by calculating the difference between the mean and each score All the differences are added up and divided by the number of scores. This gives the variance. The standard deviation is the square root of the variance
81
Range pros and cons
+ Easy to calculate. Doesn’t use all data | X affected by extreme values
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Standard deviation pros and cons
+ Shows accuracy. Uses all data | X hard to work out