reseach design and planning lecture 4 Flashcards

survey design

1
Q

th stages of designing a survey

A
  1. aims and objectives
  2. question style
  3. question design
  4. piloting
  5. revising
  6. administering
  7. analysis and publication
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2
Q

stage 1: aims and objectives

A
  • what is the aim?
  • define target groups
  • must be worked out before survey is made
  • own questions or taken from somewhere else?
  • inclusivity principles
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3
Q

stage 2: question style

A
  • decode on the most appropriate q style that will provide the most relevant info to meet the aims and objectives
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4
Q

stage 3: question design

A
  • questions must have the right formatting, phrasing and amount
  • must be easily understandable
  • for double barelled questions -> split into two seperate questions
  • question order matters
  • have different versions of questionairre to avoid order effects.
  • avoide leading Q’s -> phrase neutrally
  • avoid acquiescence bias
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5
Q

acquiescence bias

A
  • yay sayers always agreeing with question
  • no sayers always disagreeing with question
  • fence sitting = always picking middle category
  • solution -> reverse worded items to spot them, have an even number of likert responses to avoid fence sitting
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6
Q

open vs closed questions

A

open = mainly for qualitative research, can be difficult to interpret

closed = mainly for quantitative

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7
Q

stage 4; piloting

A
  • run a pilot test on a small target population
  • helps you to identify Q’s that have been missed/misunderstood
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8
Q

stage 5: revising

A

= revise survey to make changes to the questions identified during piloting
- can rephrase Q’s to make them clearer

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9
Q

stage 6: administering

A

= how will the survey reach respondents

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10
Q

stage 7: analysis and publication

A

= analyse the data using the right descriptive and inferential statistics
- write up for publication to spread the findings

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11
Q

benefits and limitations of a questionairre

A

benefits
- easy to do
- large number of participants
- cost effective
- anonymity
- efficient and scalable

costs
- limit depth
- response biases
- low response rates/ attribution

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12
Q

costs and benefits of interviews

A

benefits
- more depth and detail
- can clarify

costs
- time consuming
- limited sample size
- interview bias
- complex data analysis
- reliability issues

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13
Q

interview styles- structured and semi-structured

A

structured = set questions, no deviation -> greater reliability, straightforward analysis, however creates unnatural conversation, cannot probe answers, cannot build rapport

semi-structured -> allows respondents more freedom, rich data, researcher can ask follow up Q’s, but less reliable, difficult to analyse and compare answers.

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