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structured interviews

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1

structured interviews

+ standardized questions → reliable

+ standardization allows for more data to be gathered → representative

+ interviewer clear up misunderstandings → validity

- researcher effect → decreaases validity

- standardized questions may not allow respondents to reply with as much detail as they wish → lack of depth

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2

unstructured interviews

+ flexibility in responses → respondents can give long responses that provide lots of data and depth

+ interviewer clears up misunderstandings → validity

+ lack of structure puts respondents at ease bc fluidity of conversation, so more honest → validity

- time consuming

- lack of standardization → unreliable

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3

focus groups

+ group interactions encourage dynamic discussions → new perspectives and insights in data

+ can analyze body language → assess how honest respondent was, so validity

+ provides much qualitative data → rich in detail.

- time consuming

- unreliable

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4

covert non-participant research

+ people observed in their natural setting → validity

+ good for collecting quantitative data → tends to be more reliable

+ avoid Hawthorne effect → valid

- ethical issues (deceit) → difficult to fund

- no interaction → lacks context

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5

overt non-participant research

+ ethical → adheres to laws, preventing legal repercussions

+ opportunity for clarification → validity

+ trust is built between researcher and participants → honesty and validity

- Hawthorne effect → decreases validity

- lacks context → decreases validity

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6

closed-ended questionnaires or surveys

+ more people studied → generalizable

+ often anonymous → respondents more likely to be honest, valid

+ often standardized/closed ?’s → reliable

- limited depth → less validity

- misinterpretation → less validity

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7

open-ended questionnaires

+ more people studied → generalizable

+ more flexiblity → in-depth, rich qualitative data

+ no Hawtthorne effect → validity

- misinterpretation → less validity

- may be time-consuming → lower response rate

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8

lab experiments

+ controlled variables → identify clear cause-and-effect relationship

+ controlled variables → reliable

+ isolate variables → reduce influence of external variables.

- artificial environment → less validity

- expensive → may not have funds available

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9

case studies

+ detailed descriptions and in-depth analysis → rich qualitative data

+ often use multiple sources of data → validity

+ unique cases/contexts → may not suit other methods

- only focused on a single case or a small number → less generalizable

- very specific contexts → less reliable

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10

longitudinal studies

+ detailed descriptions and in-depth analysis → rich qualitative data

+ intense focus on one/few cases, → validity

+ studies over a long period of time → identify patterns, deeper understanding

- time consuming → researcher needs to commit

- risk of participant dropout → incomplete data and wasted resources

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11

content analysis

+ avoids ethical issues → easier to fund

+ can be easily replicated by other researchers → reliable

+ provides data about content in the media → used to test sociological theories and make changes in the media

- produces quantitative data → does not tell us why media is the way it is or how it affects audience

- difficult to decide what categories to use for media studied → difficult to make clear conclusions

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12

triangulation

+ multiple sources → validity

+ multiple methods → reduction of bias in any one single method

+ gather much qualitative data → context and rich data

- interpretation bias → distort data, less validity

- may still only focus on a particular context or small sample → not guaranteed generalizable

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13

structuralism

focuses on how the structures of society influence human behavior on a macro level

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14

interpretivism

focuses on how small-scale interactions influence human behavior at a micro level

values qualitative data more, argues that quantitative data lacks context

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15

positivism

approach that aims to study society in a scientific manner

values quantitative data more, argues that sociology should be studied with the same methods as other sciences, and that way the results will be unbiased

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16

secondary data

+ readily available, accessible → less costly and less time consuming → efficient choice for researchers with limited resources

+ might be only way to gather evidence from past → primary data from living participants may not be possible → historical documents are invaluble

+ no ethical issues → no interaction betwen researcher and individuals being studied → easier to fund as it does not raise ethical issues

- lack of control → not be valid or what researcher is looking for

- may be outdated → less validity

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17

primary data

+ original data → can cover more relevant and new topics of research

+ up-to-date → validity

+ flexibility/control → can study specific contexts and meet researchers specific aims

- costly and time-consuming → may not have funda available

- ethical concerns → difficult to fund, or gather participants

- risk of new biases (like interviewer bias) → less validity

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18

Why do functionalists claim education is necessary?

  • has a socialization function (hidden curriculum)

  • teaches social control (rewards and sanctions)

  • teaches meritocracy (rewards hard work and achievement, reinforcing the idea that social mobility is attainable for those willing to invest in their education)

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19

10 mark explain why

aim for three/four fully developed points with sociological evidence

  • focus on what question is asking

  • no conclusion

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20
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21

Why might positivists criticize qualitative data?

  • bias

  • lack of reliability

  • lack of generalizability

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22

Why do positivists value quantitative data?

  • seen as more objective because it relies on numerical data

  • more people studied → generalizable

  • standardization → consistency, reliable

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23

Why might interpretivists value qualitative data?

  • flexibility → can adapt to new insight, bringing new ideas to the conclusion

  • detail-rich data → validity

  • context → strong understanding

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24

Why do interpretivists criticize quantitative data?

  • lacks complexity → oversimplification

  • limited insight into processes and patterns → lack of true understanding

  • lacks context → more likely to be less valid

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25

researcher present

+ clear up misunderstandings

+ gain trust → validity

+ assess honesty in body language

- Hawthorne effect

- interviewer effect

- interviewer bias

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26

liberal feminism

believe major advances have been made and that equality can be achieved through further changes such as new laws

  • view does not emphasize conflict

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27

radical feminism

believe despite these advances, society is still fundamentally patriarchal and that radical changes are needed

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28

marxist feminism

combines ideas of feminism and marxism to emphasize the division between people of different gender and class

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