Research Methods (Pros and Cons)
Folien in diesem Satz (11)
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- Pros:
- Quick and cheap
- Can reach lots of respondents
- No Hawthorne effect
- Reliable because questions are standardized
- Easy to analyse with computer programs
- No social desirability effect
- Spot patterns and trends to make comparisons - positivism
- Cons:
- Respondents may not tell the truth - validity
- Questions may be misleading
- No interviewer to explain questions if not understood
- Postal questionnaires have a low response rate - not a representative sample
- Open-ended questions are hard to quantify
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- Pros:
- Same questions asked each time - can be repeated
- Quantitative data - very reliable, positivism
- Interviewer can explain and clarify
- Much higher response rate than questionnaires
- Cons:
- More expensive than other methods such as questionnaires - have to pay the interviewers
- Interview schedule means no deviation from preset list - cannot find out any extra information other than originally intended to discover
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- Pros:
- Informal - good for sensitive issues - can build rapport
- Open-ended questions used - valid - interpretivism - meaning
- Detailed and meaningful answers can be obtained
- Cons:
- Used often with smaller samples - not representative
- Hawthorne and social desirability effects - interviewee may say what interviewer wants to hear
- Takes a long time to write up interview
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- Pros:
- Both people can check for understanding and clarity
- Can be quantitative - results can be standardized
- Cons:
- It can be difficult to find a representative sample - like minded people
- Hawthorne and social desirability effects
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- Pros:
- They are very practical - "kill two birds with one stone"
- Open-ended questions used - valid - interpretivism - meaning
- Detailed answers as a result of discussion
- Cons:
- Certain people within the group can be dominant - some views may not be heard
- Social desirability effect - human nature to please others
- Small sample size = unrepresentative
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- Pros:
- Structural observation schedule = quantitative: reliable: generalizations - positivism
- Observing in the 'natural environment' improves validity
- Ethical (although potentially deceptive)
- Cons:
- Behaviour may change - Hawthorne effect
- Qualitative data possible, but cannot achieve Verstehen - interpretivism
- Practically impossible to be representative
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Covert Participant Observation
- Pros:
- Observing in the 'natural environment' improves validity
- Qualitative data = Verstehen - interpretivism
- Cons:
- Risk of researcher going native (causes subjectivity)
- Difficulty of getting in, staying in and getting out
- Can be deceptive
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- Pros:
- Observing in the natural environment improves validity
- Qualitative data = Verstehen - interpretivism
- Overt nature means people will open up
- Cons:
- Behaviour may change - Hawthrone effect
- Unreliable: no control, unique, not standardised, qualitative data not good for positivists
- Heavy focus on one group or issue - unrepresentative - positivists want to generalise: 'laws' for whole society
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- Pros:
- Researcher has control over the experiment
- Quantitative data - positivism - trends and patterns - apply findings to whole of society
- Replicate the research - reliable
- Cons:
- They are artificial - not reflective of 'real' social situations
- Difficult to isolate single variables
- Often moral and ethical issues in lab experiments
- Researchers can measure things subjectively dependent on the outcome they are expecting
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- Pros:
- Conducted in natural social settings - more valid
- Can show hidden meanings of everyday social interaction - interpretivism
- Cons:
- Difficult to control variables (unlike lab experiments)
- Hawthrone effect if people know they're being studied
- Ethical issue if subjects aren't aware they are taking part
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- Pros:
- Uses quantitative data - can establish cause and effect relationships - apply to whole society - positivism
- Natural (avoids artificiality)
- Can be used to study past events
- No ethical problems - not deceptive or harmful
- Cons:
- Even less control on variables - too many different variables means impossible to draw definitive conclusions: makes method highly invalid
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- Beschreibung
- A level Sociology Folienset am Research Methods (Pros and Cons), erstellt von Kaitlyn McCann am 16/05/2022.
- Erstellt von
- Kaitlyn McCann · Mai 2022
- Aktualisiert
- 16 Mai 2022
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