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Research methods

Gavin REID English 48 cards

Cards in this deck (48)

  1. 1qualitative researchquantities/ words numbers
    images
    meaning
  2. 2Qualitativesnumbers stats/ drawing a general conclution
  3. 3Basic• Aimed at anything intresting
    • How does the wolrd work
    • Resraches have freedom and intrinsic motivation
    • Success if results impact science community
    • Ex does prosciial behavior incres happiensss
  4. 4aplied research• Aimed at practical problems
    • Can we solve this problem
    • Resercher as part of the job and at the emploeys demand
    • Success if result are usavle
    ○ Ex do our costomers becom more happy and buy more if we greet them
  5. 5Exploratroy• To explore
    • What
    • Idea generating
    Feasibility stidues
  6. 6Descriptive• To describe
    • How? Who?
    Caregorizing and classifying
  7. 7Explanatory• To explan
    • Why?
    • Theory testing
    • Model comparison
  8. 8Case study• A study based around on thing
    • Can be measerd more than once but always at least once
  9. 9Cross sectionalA study of a group of people in one moment of time
  10. 10LongitudinalStudies a groupf of people at least twice across time
  11. 11what are the two state of behaviorautonomous state: direct thier own actions / pass of respncibility
    agentic state: allow other to direct thier actions/ take responcibility
  12. 12social theories vs every day theoriesupdated with light of new evidence
    falsifiable
    logically consistent
  13. 13what are thoeris built from and what types are therebuilt from concepts
    Variable not variable
    dimension vs type
    unidimentioanl vs multidimentional
    concreate vs abstract
  14. 14what is the deference between deductive and inductivedeductive--> general to specific
    inductive--> specific to general
  15. 15what are the range of theoriesempirical generalization: direction between observations and concepts
    middle range: often guides new research
    theoretical frame work: general frame work involving assumption guilding the dev of mid range theo
  16. 16exaspling: Fabrication/faslificaiton/ quetionable research practices1 makng up data
    2 disotrting data
    3 cooking data/ concrealing data/ conflicts of intrest
  17. 17explain : popular/ pro/ acedeminc sources1ads easy appealing
    2 withing fields and between academic
    3 only and for exsperts ina filed
  18. 18what is an association in a studytwo events that have a relation. when one changes so does the other: when one happens the other will be affected/ varies in strength
  19. 19what is a ecologicla phalacyEcological fallacy is an error in reasoning that occurs when conclusions are drawn about individuals based solely on aggregate data of a larger group or population
  20. 20what is a sampling framea lsit of cases in a popilatio or the best approx of it
  21. 21what is a good sampling raitosomething with the smae characteristics as a population ( the percetage of teh group will differ based on the size of teh population)
  22. 22what is sampling errordeviation in a sampled vale versus the true population
  23. 23what is the law of large numbersit is an average result of one or multiple samples will become closer to teh true valie as your smaple size increases/ or the more studies are conducted
  24. 24central limit theoremas you increae the number of smaple the distrib of the average of tehose smaple will tend to becomecome normal
  25. 25probalilty samplingbased on probablalistic (math principles)
    used in quanttative research
    law of large number
    when drawing a representative sample is essential
  26. 26non probability samplingno probability theory
    qualitative
    whe you ain to get a new insight in a specific social phenomenon
    when representatiatieness is less importatn
  27. 27Non probability: convienince samplesampling is determinded how closle the participant s are close to the researcher/ not representative/
  28. 28Non probability: Voluntary response sampleex. posting on socail people who come forward to particiapte
  29. 29Non probability: purposivesearching for a certin type of person or chareteristic
  30. 30Non probability: deiveient casesearching out people that do not fit a dominatnt pattern
    ex males in domestic abuse cases
  31. 31Non probability snowball sampleone person tells another aquntince
    larger number of people
    will only get one type of person
  32. 32Non probability respondent driven sampleyou look for one person and then they ask them to spread the word
  33. 33Non probability quota samplingyou determine befor hand what you are looking for and find interesting and sample from that. can be representaive but can fuck up in some areas while sucreading in others
  34. 34probability: random number generation methodsuses a random table (oldschool) or online coding/wesite
  35. 35probability: simple random samplerandomly draw a nuber of people from a group
    as the population get more diverse it gets harder to get each subset
  36. 36probability: strarified sampleseperate people into groups that you want to sample then do the randoms ample from that (can be 40% from one and 60% from another)
  37. 37probability: systematic samplestart out with a random sample then proceed with sampleing in a set interval ( 1 every 4 )
    risk there could be an order for you sampling frame ( could make you only chose one charecteristic)
  38. 38probability: cluser sampleusefull for larger geographic area
    list all countries that have what you need
    then pic a prediterminded number of them then use them as a your sampling frame
    a problem could be that the country that you chose is bigger than others
  39. 39face to face intervew pro and conleast confusing
    good fo rlong survays
    probes
    best responce rate
    -
    highest cosr
    most interiew bias
    slow
    socail desieability
  40. 40telephone interview pro-conlow sampling bias
    fleaxable
    proves
    good respmce rate
    -
    high cost
    less anonymity
    interviewer bias
    less questions types
  41. 41Self adminisrered paper surveyanon
    easy
    low cost
    no interviewer bias
    -
    lowerst responce rate
    responder unclear
    situation unclear
    no clarification
  42. 42self amninistered web surveyfast
    flexable lowerst cost
    many question types
    -
    privacy
    responder unlcear
    situation unclear
    sampling bias
  43. 43three rules whne writing survey questionsclear: avoid ambiguity/no double questions (double barrel) / or negatives/ clear response options
    simple: avoid jargon/ dont ask about reality/ sont ask about future/ no false premises
    perspective taking: help respon dents fell that they understand the question and that thier answres are meaningful
  44. 44issues in designing survey questions: order effectorder effect: An effect in survey research in which
    respondents hear some specific questions before
    others, and the earlier questions affect their
    answers to later questions.
  45. 45issues in designing survey questions: context effectscontext effects: As a practical matter,
    for the same topic you want to use a funnel
    sequence of questions—that is, ask more general
    questions before specific ones
  46. 46issues in designing survey questions: response set biasresponse set bias: response set bias—a tendency of
    some respondents to agree and not really decide
  47. 473 diffrent tpyes of filter questions'no option' choise not offered
    'no option' choise offered
    'full filter' ask whether respondents has opinion
  48. 48open vs closed questionsOpen-ended question A type of survey research question in which respondents are free to offer any answer they wish to the question.
    Closed-ended question A type of survey research question in which respondents must choose from a fixed set of answers.

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Flashcards on Research methods , created by Gavin REID on 15/12/2022.
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Gavin REID
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