Week 8 : Survey Research Flashcards
(33 cards)
What is a survey?
- highly structured… close ended questions & fixed response options
- quantitative
- large sample size
- large number of questions
Why survey? (3)
- quantify change over time
- effectiveness
- breadth of topics
Why survey?
1 - quantify change over time
- within-person change
- cohorts
- societal trends
- done through… cross sectional & longitudinal (repeated cross sectional & panel designs)
- MUST ask same questions every time/place when doing longitudinal
Why survey?
2 - effectiveness
- standardized formats (consistent measures)
- short questions & multiple choice answers
- large sample possible
- representativeness (generalizability)… high external validity if used a probability sample
Why survey?
3 - breadth of topics
- can include many questions/topics
- easy to replicate
- data for many studies (can be used by researchers with diverse research interests)
Primary vs secondary data
- primary data… social scientists can design & carry out their own surveys
- secondary data… use & analyze data from large surveys carried out by others like the government & large universities
Challenges of survey research (4)
- nonresponse
- coverage error
- sampling error
- measurement error
Challenges of survey research (4)
1 - nonresponse
- Survey nonresponse… no participation at all
- Question nonresponse… no response to particular questions on the survey
- Systematic error… individuals who do and do not respond differ in systematic ways! (bias)
challenges of survey research (4)
1 - nonresponse solutions
- anticipate potential errors with a literature review
- write good survey questions
- organize the questions (professionalism is key!)
- test & revise the survey questions before launch
challenges of survey research (4)
2 - coverage error
- the sampling frame does not adequately capture all members of the target population
- either by systematically omitting some or by including others more than once
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challenges of survey research (4)
2 - coverage error solutions
- Anticipate the potential errors (lit review)
- Address the errors in sampling strategy
- Acknowledge any systematic errors
Challenges of survey research (4)
3 - sampling error
- sampling does not represent the population accurately
*
Challenges of survey research (4)
4 - measurement error
- occurs when the approach used to measure a particular variable affects the response provided
- Source of error is the survey design, the interviewer, the setting, etc.
4 modes of administration for surveys
- face-to-face
- telephone surveys
- mail or Self-administered questionnaires (SAQs) surveys
- online surveys
Criterea for deciding which mode of adiminstration to use
- cost
- response rate
- researcher control over data-collection process
- potential for interviewer effects
1 - face-to-face
- interview schedule
- high cost, response rate, researcher control & potential for interviewer effects
- interviewers make observations about the setting too (para-data)
- ensures participants answer more honestly about like height & weight and visible things like that
2 - telephone surveys
- Structured interview administered over the phone
- moderate cost, high response rate, moderate researcher control & potential for interviewer effects
- pros… interviewer can guide, less planning, can guage opinions on emerging issues
- cons… interviewer effects, fatigue, cell phones, ppl don’t wanna be bothered & no showcards (to remember responses)
3 - Mail or Self-administered questionnaires (SAQs) surveys
- low cost, response rate, researcher control & potential for interviewer effects
- questionairre
- cons… more missing data/idks, can’t ensure targetted repsondent acc filled it out & very low response rate
4 - Online surveys
- low cost, moderate response rate, moderate researcher control & low interviewer effects
- pros… little risk of data entry errors, easy nevigation & reach a lot of ppl
- cons… ‘diginal divide’ (access), can’t be probability sample, ethical concerns maybe
Sampling for surveys…
- the goal is to quantify while elimintation systematic errors & using stats to estimate sampling errors
- probability samples… stratified sampling good but very expensive
- non-probability samples… systematic bias (Wier et al.), useful but not really
Sampling for surveys - quota sampling
- Convenient sample (non-probability)
- Can have quota to mirror population characteristics
- Quota ≠ Strata
- e.g. online sample services , qualtrics, Amazon M Turk, etc.
- more affordable that probability samples
- Still: systematic error!
ethical considerations…
- Most surveys are not sensitive, but some are! (e.g. HIV, drug use, sexual orientation)
- confidentiality… surveys obtain highly personal and sensitive information & if this information is made public, it could be a source of harm to respondents (use identification IDs)
- anonymity… unrealistic & unpractical, can’t do follow-ups if they can’t figure out who they are
- can cause minor psychological distress
Typical steps to survey research
- research questions
- conceptualization & operationalization (Theory -> Hypotheses -> Concepts….. -> Variables)
- sample & survey mode
- survey questionairre (write & organize)
- data collection
- data processing
- analysis
Survey content (organization)
structure of questions
- The stem poses the question & the response categories provide the pre-set answers that the respondent may select