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Types: NATURALISTIC O Observing participants in their normal everyday environment without manipulation the setting. o Used in situations where conducting lab research would lead to demand characteristics. O Bot types of data (quantitative and qualitative) can be collected. Strengths: Observations o Avoids consent issues since the observation takes place in a public place, where people would be expected to be seen by others. o High in ecological validity and mundane realism. Weaknesses: o Lack of control over variables and the inability to replicate. o Cannot produce cause and effect as confounding variables may be present. O Invasion of privacy as participants are unaware that they're being observed and having their behaviour recorded. o Risk of observer's bias when collecting data. Observational Designs- 4 types: Strengths: O Informed consent can be obtained. O No deception. O A more structured observation. O Easier to replicate. CONTROLLED The researcher controls aspects of the setting. O Can occur in a natural or lab setting. O The researcher intervenes as to cause an effect, so that results are more easily recorded. O Strengths: O O More control over variables. Greater control means easier replication. Avoids problems with consent and deception as most of the time participants know that they're being observed. Weaknesses: o Demand characteristics are a high risk as participants may alter the way they behave, lowering data validity. O O Low ecological validity due to the artificial setting, which reduces the ability to generalise results to real life. Risk of observer's bias when collecting the data, often when the observers don't have any guidelines on how to record behaviour. OVERT OBSERVATION O When...
iOS User
Stefan S, iOS User
SuSSan, iOS User
those being observed are aware of the fact that their behaviour is being recorded. O The researcher could choose to participate in the observed activity (overt-participant observation) or might play no part and simply observe (over non-participant observation). Weaknesses: - The Hawthorne effect may take place where the individuals being observed alter their behaviour In response to their awareness. - The sample/behaviour collected may be unrepresentative -People can try to present themselves in a more favourable COVERT OBSERVATION O Known as undisclosed observation as the participants don't know that their behaviour is being observed. O Laud Humphrey's study - "The Tearoom Trade" included the observation of men engaging in sexual behaviour in public toilets. Strengths: o Higher validity as participants are less likely to display demand characteristics. O Can be used where people might not be prepared to co-operate with the researcher eg. gangs or mafia. Weaknesses: There are ethical issues as participants are unable to consent on whether they wish to take part or not. It can be difficult to remain undetected. Replication is difficult as there are no standardised procedures. O O O PARTICIPANT DESIGN O The process of joining a group of participants to gain an understanding of their behaviour, by taking part in the observed activities. Strengths: O Allows researcher to gain a better insight through personal experience. o High validity as the study is rich in qualitative data of people's behaviour. More flexible as researcher can follow up different directions if something O interesting occurs. o There is access to more suspicious groups like gangs as trust can be gained. Weaknesses: o Participating in illegal and immoral activities for research can be seen as unethical. O Can be time consuming, demanding, and stressful. o Risk of getting to involved and recording bias data. NON-PARTICIPANT DESIGN o Observing participants without actively participating. O For example OFSTED inspections in lesson. Strengths: O O Allows for a more objective view of what is occurring. More ethical if done overtly, as participants know that they're being observed. Researcher is more open minded and less likely to produce bias data. Weaknesses: O Can lead to the Hawthorne effect. o May be hard to gain accurate results as watching from a distance. Event Sampling - specific behaviours are recorded every time they occur. Time Sampling- the behaviour is recorded at fixed intervals. Reliability in Observations: Inter-rater reliability: having two or more observers and if they obtain similar results then this indicates good reliability. Improving reliability: ● Use clearly defined and operationalised coding systems. Train observers with practice observations. Check for inter-rater reliability by correlating one observer's data with that of another. Coding Systems: This is how observations produce data. ● Tally counts- the observer writes down when and how many times a certain behaviour occurred. Observer narratives- the researcher takes notes during the sessions and then goes back to try and collect data and look for behaviour patterns from the notes. Continuous- where the observer records everything in detail. Audio or video recordings- to reference back and study in the future. ●
Types of observations and observational designs joined by their evaluation.
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Types: NATURALISTIC O Observing participants in their normal everyday environment without manipulation the setting. o Used in situations where conducting lab research would lead to demand characteristics. O Bot types of data (quantitative and qualitative) can be collected. Strengths: Observations o Avoids consent issues since the observation takes place in a public place, where people would be expected to be seen by others. o High in ecological validity and mundane realism. Weaknesses: o Lack of control over variables and the inability to replicate. o Cannot produce cause and effect as confounding variables may be present. O Invasion of privacy as participants are unaware that they're being observed and having their behaviour recorded. o Risk of observer's bias when collecting data. Observational Designs- 4 types: Strengths: O Informed consent can be obtained. O No deception. O A more structured observation. O Easier to replicate. CONTROLLED The researcher controls aspects of the setting. O Can occur in a natural or lab setting. O The researcher intervenes as to cause an effect, so that results are more easily recorded. O Strengths: O O More control over variables. Greater control means easier replication. Avoids problems with consent and deception as most of the time participants know that they're being observed. Weaknesses: o Demand characteristics are a high risk as participants may alter the way they behave, lowering data validity. O O Low ecological validity due to the artificial setting, which reduces the ability to generalise results to real life. Risk of observer's bias when collecting the data, often when the observers don't have any guidelines on how to record behaviour. OVERT OBSERVATION O When...
Types: NATURALISTIC O Observing participants in their normal everyday environment without manipulation the setting. o Used in situations where conducting lab research would lead to demand characteristics. O Bot types of data (quantitative and qualitative) can be collected. Strengths: Observations o Avoids consent issues since the observation takes place in a public place, where people would be expected to be seen by others. o High in ecological validity and mundane realism. Weaknesses: o Lack of control over variables and the inability to replicate. o Cannot produce cause and effect as confounding variables may be present. O Invasion of privacy as participants are unaware that they're being observed and having their behaviour recorded. o Risk of observer's bias when collecting data. Observational Designs- 4 types: Strengths: O Informed consent can be obtained. O No deception. O A more structured observation. O Easier to replicate. CONTROLLED The researcher controls aspects of the setting. O Can occur in a natural or lab setting. O The researcher intervenes as to cause an effect, so that results are more easily recorded. O Strengths: O O More control over variables. Greater control means easier replication. Avoids problems with consent and deception as most of the time participants know that they're being observed. Weaknesses: o Demand characteristics are a high risk as participants may alter the way they behave, lowering data validity. O O Low ecological validity due to the artificial setting, which reduces the ability to generalise results to real life. Risk of observer's bias when collecting the data, often when the observers don't have any guidelines on how to record behaviour. OVERT OBSERVATION O When...
iOS User
Stefan S, iOS User
SuSSan, iOS User
those being observed are aware of the fact that their behaviour is being recorded. O The researcher could choose to participate in the observed activity (overt-participant observation) or might play no part and simply observe (over non-participant observation). Weaknesses: - The Hawthorne effect may take place where the individuals being observed alter their behaviour In response to their awareness. - The sample/behaviour collected may be unrepresentative -People can try to present themselves in a more favourable COVERT OBSERVATION O Known as undisclosed observation as the participants don't know that their behaviour is being observed. O Laud Humphrey's study - "The Tearoom Trade" included the observation of men engaging in sexual behaviour in public toilets. Strengths: o Higher validity as participants are less likely to display demand characteristics. O Can be used where people might not be prepared to co-operate with the researcher eg. gangs or mafia. Weaknesses: There are ethical issues as participants are unable to consent on whether they wish to take part or not. It can be difficult to remain undetected. Replication is difficult as there are no standardised procedures. O O O PARTICIPANT DESIGN O The process of joining a group of participants to gain an understanding of their behaviour, by taking part in the observed activities. Strengths: O Allows researcher to gain a better insight through personal experience. o High validity as the study is rich in qualitative data of people's behaviour. More flexible as researcher can follow up different directions if something O interesting occurs. o There is access to more suspicious groups like gangs as trust can be gained. Weaknesses: o Participating in illegal and immoral activities for research can be seen as unethical. O Can be time consuming, demanding, and stressful. o Risk of getting to involved and recording bias data. NON-PARTICIPANT DESIGN o Observing participants without actively participating. O For example OFSTED inspections in lesson. Strengths: O O Allows for a more objective view of what is occurring. More ethical if done overtly, as participants know that they're being observed. Researcher is more open minded and less likely to produce bias data. Weaknesses: O Can lead to the Hawthorne effect. o May be hard to gain accurate results as watching from a distance. Event Sampling - specific behaviours are recorded every time they occur. Time Sampling- the behaviour is recorded at fixed intervals. Reliability in Observations: Inter-rater reliability: having two or more observers and if they obtain similar results then this indicates good reliability. Improving reliability: ● Use clearly defined and operationalised coding systems. Train observers with practice observations. Check for inter-rater reliability by correlating one observer's data with that of another. Coding Systems: This is how observations produce data. ● Tally counts- the observer writes down when and how many times a certain behaviour occurred. Observer narratives- the researcher takes notes during the sessions and then goes back to try and collect data and look for behaviour patterns from the notes. Continuous- where the observer records everything in detail. Audio or video recordings- to reference back and study in the future. ●