Questionnaires Etc Flashcards
What makes a good questionnaire?
Clarity - Questions should be understandable and not ambiguous.
Bias- respondents shouldn’t be given any leading questions.
Pilot study - test your questionnaire on a few people at first, this can help you remove ambiguous terms.
Filler questions - Add some irrelevant questions to distract the participants.
Give a strength of a closed question
provides quantitative data which can be statistically analysed.
its also quick to do and interpret.
Give a weakness of a closed question
Doesn’t provide responses of very high quality as there’s no explanations to it.
It is also unclear how the respondent understood the question.
Give a strength of an open question
provides high quality data and allows respondents to express themselves.
Weakness of open questions
Analysis can be more difficult and more time consuming.
What are issues with designing a questionnaire?
Respondents may want to make themselves look better than what they are, and therefore may lie in the questionnaire to make them seem better.
They may also fear standing out, so may answer in a way that is considered the norm. This is known as social desirability bias.
What does measures of dispersion mean?
It calculates how spread out or dispersed the data is from the mean.
state a problem with the inductive approach.
This analysis is subjective and relies on how the researcher interprets information.
What is thematic analysis?
This is when we emphasise and pinpoint key patterns and themes within data.
What is stratified sampling method?
Stratified sampling is a type of sampling method in which the total population is divided into smaller groups or strata to complete the sampling process. The strata is formed based on some common
characteristics in the population data.
What two ways can we conduct thematic analysis?
What is an opportunity sample?
This is where we gather participants based on who is available at the time.
What is a volunteer sample?
Participants who self select themselves.
Strength and Weakness of random sampling
• The advantages are that your sample should represent the target population and eliminate sampling
bias.
• A weakness is that it is very difficult to achieve (i.e. time, effort and money).
Strength and Weakness of stratified sampling.
Weakness - arranging and evaluating the results is more difficult compared to a simple random sampling.
Strength - it captures key population characteristics in the sample.