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MIXED RESEARCH METHODS

luce charlotte 4 questions

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  1. 1When [blank_start]2[blank_end] or more [blank_start]methods[blank_end] in research are used it’s often called ‘[blank_start]triangulation[blank_end]’.
    The [blank_start]reason[blank_end] for doing this is to increase [blank_start]confidence[blank_end] in the [blank_start]findings[blank_end] through the [blank_start]conformation[blank_end] of a theory using 2 or [blank_start]more[blank_end] [blank_start]independent[blank_end] [blank_start]measures[blank_end].
    The [blank_start]combination[blank_end] of findings provides a more [blank_start]comprehensive[blank_end] [blank_start]picture[blank_end] of the [blank_start]results[blank_end].
    1. A2
    2. Bmethods
    3. Ctriangulation
    4. Dreason
    5. Econfidence
    6. Ffindings
    7. Gconformation
    8. Hindependent
    9. Imeasures
    10. Jmore
    11. Kcombination
    12. Lcomprehensive
    13. Mpicture
    14. Nresults
  2. 2It was [blank_start]originally[blank_end] introduced into [blank_start]qualitative[blank_end] research as a way of [blank_start]avoiding[blank_end] [blank_start]potential[blank_end] [blank_start]biases[blank_end] arising from the use of a [blank_start]single[blank_end] methodology.
    Combining both [blank_start]quantitative[blank_end] and qualitative methods to [blank_start]conduct[blank_end] research could [blank_start]result[blank_end] in either:
    1. Results [blank_start]converging[blank_end] and leading to the [blank_start]same[blank_end] conclusions: aims to [blank_start]increase[blank_end] [blank_start]validity[blank_end] through [blank_start]verification[blank_end].
    2. Results may be [blank_start]contradictory[blank_end]: leads to [blank_start]new[blank_end] and better [blank_start]explanations[blank_end].
    3. Results may [blank_start]relate[blank_end] to [blank_start]different[blank_end] things but be [blank_start]complementary[blank_end] to eachother: highlights [blank_start]different[blank_end] [blank_start]aspects[blank_end] of the phenomenon.
    1. Aoriginally
    2. Bqualitative
    3. Cavoiding
    4. Dpotential
    5. Ebiases
    6. Fsingle
    7. Gquantitative
    8. Hconduct
    9. Iresult
    10. Jconverging
    11. Ksame
    12. Lvalidity
    13. Mincrease
    14. Nverification
    15. Ocontradictory
    16. Pnew
    17. Qexplanations
    18. Rrelate
    19. Sdifferent
    20. Tcomplementary
    21. Udifferent
    22. Vaspects
  3. 3> PROS <
    + Regarded as a way of adding [blank_start]richness[blank_end] + [blank_start]depth[blank_end] to a research [blank_start]enquiry[blank_end]. Generally considered to [blank_start]encourage[blank_end] a more [blank_start]comprehensive[blank_end] understanding of the [blank_start]subject[blank_end] of study and to [blank_start]enhance[blank_end] the [blank_start]thoroughness[blank_end] of a research study.

    + Provides [blank_start]strengths[blank_end] that [blank_start]offset[blank_end] the [blank_start]weaknesses[blank_end] of both quantitative + [blank_start]qualitative[blank_end] research. For example, [blank_start]quantitative[blank_end] research [blank_start]isn’t[blank_end] good when wanting to [blank_start]understand[blank_end] the [blank_start]context[blank_end]/situation in which people [blank_start]behave[blank_end]: [blank_start]qualitative[blank_end] research is. On the other hand, quantitative research is difficult to [blank_start]generalise[blank_end] and can be subject to [blank_start]bias[blank_end]: [blank_start]quantitative[blank_end] research doesn’t have these [blank_start]weaknesses[blank_end]. So by using [blank_start]both[blank_end] types, the strengths and weaknesses [blank_start]balance[blank_end] [blank_start]eachother[blank_end] out.

    + Helps to explain [blank_start]findings[blank_end] and how [blank_start]causal[blank_end] [blank_start]processes[blank_end] work.

    + Proves [blank_start]methodological[blank_end] [blank_start]flexibility[blank_end]: [blank_start]adaptable[blank_end] to many study [blank_start]designs[blank_end] such as [blank_start]observations[blank_end], which produces more [blank_start]information[blank_end] than merely using quantitative research.
    1. Arichness
    2. Bdepth
    3. Cenquiry
    4. Dencourage
    5. Ecomprehensive
    6. Fsubject
    7. Genhance
    8. Hthoroughness
    9. Istrengths
    10. Joffset
    11. Kweaknesses
    12. Lqualitative
    13. Mquantitative
    14. Nunderstand
    15. Ocontext
    16. Pbehave
    17. Qisn’t
    18. Rqualitative
    19. Sgeneralise
    20. Tbias
    21. Uquantitative
    22. Vweaknesses
    23. Wbalance
    24. Xeachother
    25. Yboth
    26. Zfindings
    27. AAprocesses
    28. ABcausal
    29. ACmethodological
    30. ADflexibility
    31. AEadaptable
    32. AFdesigns
    33. AGobservations
    34. AHinformation
  4. 4> CONS <
    - [blank_start]Assumes[blank_end] the data from 2 [blank_start]distinct[blank_end] research methods are [blank_start]comparable[blank_end] and of [blank_start]equal[blank_end] [blank_start]weight[blank_end] in the study.

    - When [blank_start]2[blank_end] or more data [blank_start]sets[blank_end] have [blank_start]convergent[blank_end] findings, must be [blank_start]aware[blank_end] it could just mean [blank_start]each[blank_end] of the data sets are [blank_start]flawed[blank_end].

    - Takes much more [blank_start]time[blank_end] to [blank_start]plan[blank_end] and [blank_start]implement[blank_end] this type of [blank_start]research[blank_end]. Can be very [blank_start]complex[blank_end] + difficult to [blank_start]plan[blank_end]/implement one [blank_start]method[blank_end] by [blank_start]drawing[blank_end] on the [blank_start]findings[blank_end] of [blank_start]another[blank_end]. Requires careful [blank_start]planning[blank_end] to describe all [blank_start]aspects[blank_end] of research, including study [blank_start]sample[blank_end] and [blank_start]timing[blank_end] for [blank_start]both[blank_end] methods, and the way of [blank_start]integrating[blank_end] them. The [blank_start]integration[blank_end] phase is usually a [blank_start]challenging[blank_end] phase for many [blank_start]researchers[blank_end].

    - Relies on a [blank_start]multidisciplinary[blank_end] team of [blank_start]researchers[blank_end]. Becasue of using [blank_start]mixed[blank_end] methods, researchers have to be [blank_start]open[blank_end] to methods that aren’t [blank_start]necessarily[blank_end] their areas of [blank_start]expertise[blank_end]. Can be [blank_start]challenging[blank_end] to find researchers [blank_start]comfortable[blank_end] with this.

    - Can be [blank_start]unclear[blank_end] how to resolve [blank_start]discrepancies[blank_end] that arise in the [blank_start]interpretation[blank_end] of the [blank_start]findings[blank_end].

    - Requires [blank_start]increased[blank_end] [blank_start]resources[blank_end], time and [blank_start]labour[blank_end] than [blank_start]single[blank_end] method studies.
    1. AAssumes
    2. Bcomparable
    3. Cequal
    4. Ddistinct
    5. Eweight
    6. Fconvergent
    7. G2
    8. Hsets
    9. Iaware
    10. Jflawed
    11. Keach
    12. Ltime
    13. Mplan
    14. Nimplement
    15. Oresearch
    16. Pcomplex
    17. Qplan
    18. Rmethod
    19. Sdrawing
    20. Tfindings
    21. Uanother
    22. Vplanning
    23. Waspects
    24. Xsample
    25. Ytiming
    26. Zintegrating
    27. AAboth
    28. ABintegration
    29. ACchallenging
    30. ADresearchers
    31. AEunclear
    32. AFdiscrepancies
    33. AGinterpretation
    34. AHfindings
    35. AIincreased
    36. AJresources
    37. AKlabour
    38. ALsingle
    39. AMmultidisciplinary
    40. ANresearchers
    41. AOmixed
    42. APopen
    43. AQnecessarily
    44. ARexpertise
    45. ASchallenging
    46. ATcomfortable

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Description
Business/Economics Quiz on MIXED RESEARCH METHODS, created by luce charlotte on 09/01/2019.
Language
English
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