data collection (surveys) Flashcards
quantitative data
emphasizes on statistical numbers.
prove broad general points of research
used for general patterns and conclusions
qualitative data
individual unique experiences, impressions, opinions, and views of people
details and depth to understand full implications
steps to create good survey
- decide on target audience
- carry out sampling, decide on sample size, decide on sampling method
- craft suitable questions. relevant? avoid? how to phrase to avoid like confusion?
why do we need a sample?
it is not possible or practical to collect information from the entire population
suitable questions
not sensitive
not assumptive
do not use words that might evoke subjectivity
clear and concise
no double negative questions (do you NOT like NO soup in your rice)
no biased questions
no double-barreled questions (do you like rice AND noodles (as you can see i am very hungry))
give options
have a variety of question TYPES
make life easy for respondents
types of questions in surveys
closed questions
open questions
closed questions pros and cons
pros
easier and faster to analyse
cons
limited responses
open question pros and cons
pros
free response
can understand reasons
cons
difficult to analyse and find patterns
types of closed questions
predefined responses (normal mcq)
Likert scale (on a scale of 1-4, on a scale of 1-10, etc.)