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Summary Research workshop: Survey (readings+lectures) $11.97   Add to cart

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Summary Research workshop: Survey (readings+lectures)

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  • October 8, 2022
  • 9
  • 2022/2023
  • Summary
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Goal of survey research is to draw inferences about a target population
Advantage Disadvantages
- Relatively low costs - Generally limited to scaled or check-list
- Relatively fast delivery questions
- Rapid data processing - No control over response rate
- Can research large populations - Provides information more than
- Various modes understanding
o Phone email internet face-to-face - Increasing public resistance
- Difficult to explore issues in depth

Goal is to provide info about population (target audience) make 2 inferences
- from sample to population = how closely the sample reflect the population
o Sampling error
- From given answers to sample = how well answers measures characteristics
o Invalidity

Errors that are present in surveys
Common sources
- Poorly worded question
o Invalid finding
- Deviation form script by interviewer (F2F and telephone)
- Misunderstanding on the part of the interviewee
o Unclear questions
o How many drinks do have in the weekend?
 What is a drink?
- Memory problems on the part of the interviewee
o A lot of attention is asked
- The way the information is recorded by the interviewer
- The way the information is processed, either when answers are coded or when data are
entered into the computer

TYPES OF ERROR
- Random error
o possible error that stems solely from the fact that data are collected form a sample
rather than from every single member of the population  influences reliability
 e.g., the sample does not match the population, this can always happen the
respondent does not understand the question, honest mistake
- Systematic error or bias
o in some systematic way, the people responding to a survey are different from the
target population as a whole  influences validity
 e.g., only Dutch students in sample, sample does not reflect population have
you read the literature? Many will say yes

Bias = in a systematic way people respond differently like the target population
Three steps in data collection from the sample which can cause bias:
- Sample frame (those who have a chance of being selected): there are people in the
population who have no chance of participating
- Process of selection: if the process of selection is non-random
- Not possible to obtain answers from everyone: e.g., health problems or language delay

Validity = to what extent do the answers measure what we want to measure

, DESIGNING QUESTIONS
There are two types of questions:
- Objective facts = respondents can fill out right away, because they are facts (height, weight)
- Subjective states = respondents must think carefully about these (feelings)

General rules
- Remember RQ
- Decide exactly what you want to find out
- Consider your audience
- Imagine yourself as a respondent

Common in research questions
- Ambiguous terms  Often, regularly, frequently
- Long questions  Relying on memory – make into separate questions
- double-barreled  fixed by making two
- Very general questions
- Leading questions/biased  often problematic unless it is a sensitive question (do you also
believe ….)
- Negative terms  “not”, “never” and double negatives is even worse
- Technical terms: people need to be able to fully understand the question
- Poorly phrased questions
- Respondent has not enough knowledge to answer the question

To ensure reliability:
- Each respondent is asked the same set of questions
- Answers to these questions are recorded

Use midpoint or don’t know
If you include don’t know or middle option, people will use it
- If you need people to choose one or the other, do not include
- If it is possible that people lack the knowledge required to answer a particular question,
include don’t know can be sensible
- If used, some people will spend less time thinking about difficult questions
Be aware:
- Leaving out “don’t know” or middle option may cause irritation
- And sometimes “don’t know” or middle option is a possibility

MEASUREMENTS LEVELS
Ratio is often convenient for the researcher, but not for the respondent
People often round off to whole numbers

Decide for yourself:
- How detailed should the question be?
- The more precise the more stressful for the respondent

Totally agree – agree – disagree – totally disagree
Ordinal, but combined with multiple items  interval

Agree X X X X X X X X X (more than 7) disagree
Ordinal  treat as interval

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