methods: observations Flashcards

(34 cards)

1
Q

Define observation

A

The close and detailed observation of a subjects behaviour in a particular environment, whereby variables are not manipulated.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Give an example of quantitative data gathered from an observation

A

Tally counts of when behaviours are being shown

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Give an example of qualitative data fathered from an observation

A
  • observer narratives of notes on the subjects behaviour
  • audio or video recordings to look back on and analyse more closely
  • continuous recordings where the observers record everything that happens i detail with a video camera
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

List the two types of sampling

A
  • event
  • time
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Describe audio or video recordings

A
  • These are to make notes in retrospect
  • audio= quicker than making notes
  • gathers a richer range of detail than notes- can ensure that no behaviour being studied is missed- so more valid
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Describe observer narratives

A
  • notes are taken during the session
  • then go back later and try to collect data
  • and discern behaviour patterns from these notes
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Describe continuous notes

A
  • where the observers record everything records everything that happens in detail
  • usually with a video camera
  • richer range of detail than notes
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Describe event sampling

A
  • observer records each event that meets a predetermined list of behaviours
  • specific behaviours are recorded everything tie they occur
  • used when the behaviour of interest is relatively infrequent
  • or when you want to capture all instances of a particular behaviour
  • e.g. tallying every time the subject scratches their head
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Describe time sampling

A
  • the researcher decides on a time interval (e.g. 10 seconds)
  • then records what happens when the behaviour is occurring at each interval
  • this can provide quantitative data for predetermined behaviours or quantitative through a narrative at these times
  • good for busy environments- helps manage large volumes of data
  • can give a representative snapshot of behaviour over time without needing to record everything`
  • (behaviour of each ppt is recorded at fixed intervals)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Two strengths of event sampling

A
  • high validity as it provides quantitative data that can be statistically analysed and easily compared when reproduced
  • high validity- by recording all occurrences of a specific behaviour, this method gives a fuller, more accurate picture- increasing validity
  • also is less of a chance that a behaviour being studied is missed (so more accurate picture of behaviour)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Two weaknesses of event sampling

A
  • low reliability- if too many variables to tally, the researcher may gather inconsistent results in how many observed and how many there actually were
  • some events may be missed or inconsistently recorded- especially if there is more than one thing happening at once
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Two strengths of time sampling

A
  • increased reliability- as behaviours are recorded at set intervals, process is more structured and repeatable- reducing observer bias, increasing reliability (standardised procedure)
  • less variables, only recording at specific intervals makes collection of data more accurate, less of a chance of mistakes etc
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Two weaknesses of time sampling

A
  • low validity- may miss behaviours that are being studied- not an accurate, full picture of behaviour being studied
  • unrepresentative sample- if the selected time intervals are not representative of the full session- the data may not reflect typical behaviour, lowering validity etc
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What are the two observational methods

A
  • naturalistic (unstructured)
  • controlled (structured)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Describe structured/controlled observations

A
  • can occur in a natural or lab setting
  • focus of the observation is predetermined beforehand- produces quantitative data
  • researcher often intervenes to cause an event- so can be recorded more easily, can establish cause and effect relationship
  • high structured allows the researcher to decide on precise ways of observing the different categories
  • semi-structured involves the researcher starting with an agenda of what will ne observed and how but collecting the data is done less systematically
  • has been set up in a situation by the experimenter specifically for observation- so more easily recorded
  • uses a standardised procedure
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

strengths of a structured/controlled observation

A
  • high reliability- due to having a standardised procedure, with high control over EV’s due to researcher manipulation of environment, meaning it can be replicated easily to test for consistency
  • high validity- control over EV’s means that less chance of confounding variables, easier to establish cause and effect relationship
  • avoids problems with consent/deception as often they take place in a public setting where people would expect to be seen by others and have permission/informed consent from the ppts as they are aware they are participating in this type of observation
  • can still have high ecological validity if they take place in controlled natural setting- so also can still have high mundane realism
17
Q

weaknesses of a structured/controlled observation

A
  • lower validity- demand characteristics are higher risk in this type of observation as ppts are aware they are being observed- therefore may changed how they would normally behave which lowers the validity of the data
  • low ecological validity- if in an artificial environment
  • risk of observer bias when collecting the data- this can occur when the researchers don’t have any guidelines on how to record the behaviour
18
Q

Describe a naturalistic/unstructured observation

A
  • involves observing subjects in their natural environments
  • does not involve any intervention and only looks at when the behaviours occur in a a natural setting
  • limited manipulation of variables due to the lack of intervention
  • can collect both qualitative and quantitative data
  • often used in situations where conducting lab research is unrealistic or unpractical
  • or would cause demand characteristics
19
Q

Strengths of a naturalistic/unstructured observation

A
  • high ecological validity- ppts in their natural setting and environment so reflective of natural behaviour
  • provides rich qualitative data which may be missed with intervention/manipulation of procedure
  • often the only practical/ethical way of carrying out the research due to the sensitive nature of the study or setting e.g. antisocial behaviour that can’t be created
  • high validity- lack of demand characteristics due to not aware they are participating
  • avoids problems with consent and deception as often this type of observation takes place in a public setting- where people would be expected to be seen by others
20
Q

Weakness of naturalistic/unstructured experiments

A
  • low reliability- no standardised procedure, lack of control results in inability to replicate
  • cannot produce cause and effect due to the lack of control over the setting-confounding variables present
  • ethical issues of invasion of privacy - unaware they are being observed and having their behaviour recorded
  • risk of observer (subjective) bias when collecting the data- don’t have any guidelines on how to record the behaviour
21
Q

State the two types of observational design

A
  • overt observation
  • covert observation
22
Q

Describe an overt observation

A
  • the researcher is open about their intentions to observe subjects behaviours
  • information they are being observed is disclosed to them
  • ppts have given their permission for their behaviour to be observed- informed consent
  • allow open note taking and the use of equipment such as video recordings
23
Q

Describe covert observations

A
  • subjects in the observation do not know that they are being studied
  • conducted in public settings
  • the researcher is undercover (may pose as a subject)
  • researcher immerses the self in a community they are studying
  • lack of informed consent
24
Q

Strengths of an overt observation

A
  • high validity due to it being easier to record data at the point of it happening - so less likely to miss things, more accurate picture of behaviour
  • high ethical considerations- informed consent, know they are being studied so have given informed consent and have the knowledge of the right to withdraw
25
Weaknesses of an overt observation
* low validity- participants know they are being studied so increases the risk of demand characteristics, reducing the validity of the data gathered, not an accurate representation of natural behaviour * low validity in observer bias in seeing what they want/expect to see
26
Strengths of a covert observation
* high internal validity- not risk of demand characteristics so can easily establish cause and effect relationship * it can be used where people may not be prepared to cooperate with the experimenter- so can obtain results from a wider range of people within society- increasing generalisability
27
Weaknesses of a covert observations
* ethical issues due to not making the ppts aware that they are being observed so no informed consent gained- compromising their right to withdraw * low reliability due to it being heard for the researcher to not every behaviour- neee to not draw attention and remain undetected, so there may be retrospective inconsistencies, lack of a standardised procedure in how research is carried out.
28
Two types of data collection
* participant * non-participant
29
Describe a participant observation
* researcher is involved with the setting and activities that are being observed * becomes part of the sample * in order to gain a better insight into a community * actively takes part in fe environment or activity
30
Describe a non-participant observation
* the observer doesn’t participate in the events or the activities being studied * researcher has no interaction * instead watches from a distance or uses a one way mirror
31
Strengths of a participant observation
* high validity- the researcher us involved in the events and so gathers inside, detailed information * high validity as being part of the group allows the researcher to interpret behaviour in the context
32
Weaknesses of participant observations
* researcher bias- the researcher may become too involved within the behaviour. So there is a loss of objectivity, researcher nay also influence the events and bias it towards things teabag they want to happen * low validity- it can be hard to record data discreetly or keep track of everything while participating so there may be inconsistencies within data * ethical issues- often involving deceiving the ppts of the researchers true intentions and identity therefore not gaining in informed consent, potentially causing psychological distress.
33
Strengths of a non-participant observation
* high reliability- easier to record data as it occurs when not being involved in the event to * reduces observer bias- so high validity as researcher not involved in the events so can’t influence situations.
34
Weaknesses of a non-participant observation
* low validity- lacks the depth of detail that the ppt observations can gain- observe subjects outside the events so may miss meaning behind certain behaviours or can’t analyse them in the context of events * hard to see behaviours in detail.