reseach design and planning lecture 4 Flashcards
survey design
th stages of designing a survey
- aims and objectives
- question style
- question design
- piloting
- revising
- administering
- analysis and publication
stage 1: aims and objectives
- what is the aim?
- define target groups
- must be worked out before survey is made
- own questions or taken from somewhere else?
- inclusivity principles
stage 2: question style
- decode on the most appropriate q style that will provide the most relevant info to meet the aims and objectives
stage 3: question design
- 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
acquiescence bias
- 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
open vs closed questions
open = mainly for qualitative research, can be difficult to interpret
closed = mainly for quantitative
stage 4; piloting
- run a pilot test on a small target population
- helps you to identify Q’s that have been missed/misunderstood
stage 5: revising
= revise survey to make changes to the questions identified during piloting
- can rephrase Q’s to make them clearer
stage 6: administering
= how will the survey reach respondents
stage 7: analysis and publication
= analyse the data using the right descriptive and inferential statistics
- write up for publication to spread the findings
benefits and limitations of a questionairre
benefits
- easy to do
- large number of participants
- cost effective
- anonymity
- efficient and scalable
costs
- limit depth
- response biases
- low response rates/ attribution
costs and benefits of interviews
benefits
- more depth and detail
- can clarify
costs
- time consuming
- limited sample size
- interview bias
- complex data analysis
- reliability issues
interview styles- structured and semi-structured
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.