Chapter 1: Introduction to online surveys Flashcards

1
Q

What is a difference between people with and without acces to the Internet?

A

People with acces are younger, richer and more educated.

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2
Q

Historical events can be reflected by internet penetration. This can be seen by looking at Germany. Explain how this can be seen

A

In West Germany, penetration is 61% and in East Germany penetration is 48%

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3
Q

What is quantitative research and when should it be used?

A

Research used to quantify a research problem with NUMERICAL data. Low in cost short in time. Answer a question about great groups or generalize the results

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4
Q

What is qualitative research and when should it be used?

A

Research answering questions about how and why. used to gain understanding of underlying reasons, opinions or motivations. Less structured and does not require a representative sample

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5
Q

What is an internet community

A

A group of people one would not easily find outside of the Internet

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6
Q

What are 3 different research methodologies for qualitative research?

A
  1. Passive analysis
  2. active analysis
  3. Web surveys
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7
Q

What is passive analysis (methodology for qualitative research)

A

Analyze interactions and information on the internet. Researchers do not actively participate but passively monitor

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8
Q

What is active analysis (methodology for qualitative research)

A

Researcher gets actively involved in the interactions. Often without revealing his/her true identity

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9
Q

What is a Web Survey methodology for qualitative research

A

Researchers informs participants of his/her identity making it the most ethical option. People know who the researcher is.

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10
Q

What are the 2 main categories of web surveys

A
  1. Non-probability surveys
  2. Probability web surveys
  3. Difference is if sampling has been done in a (non) random manner and if everyone has an equal chance of being selected.
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11
Q

What is the main downside of non-probability web surveys?

A

They are impossible to generalize to the general population due to coverage and sample errors

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12
Q

What are different types of non-probability web surveys

A
  1. Polls as entertainment
  2. Unrestricted elf-selected surveys (recruitment via ads / high traffic sites)
  3. Volunteer opt-in panels
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13
Q

Name different types of probability-based web surveys

A
  1. intercept survey → every nth visitor gets invited
  2. List-based sample → Invite people who have acces to the internet (student surveys)
  3. Web option in mixed-mode -→ web as extra alternative
  4. Pre-recruited panels of internet users -→ panel members are solicited using online modes
  5. Pre-recruited panels of full population -→ people with no internet or PC are accommodated
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14
Q

What is the difference between volunteer panels of internet users and pre-recruited panels of internet users?

A

Pre-recruited panels use offline modes for recruitment. For example random digit dialing and address based sampling

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15
Q

What are the 5 elements of the total survey error framework

A
  1. Measurement error
  2. Non-response error
  3. Coverage-error
  4. Sampling error
  5. Costs
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16
Q

What are the four fundamental concepts of designing a good and accurate survey?

A
  1. Accurate measurements
  2. High response rate
  3. High coverage
  4. Proper sampling
17
Q

Explain what you know about measurement error (5)

A
  1. Deviation of answers retrieved and true answers
  2. Could be because of survey questions, respondents and condition factors
  3. Design is important in preventing this (confusing instruction, ambiguous question or poor visual design)
  4. No interviewer in web surveys to guide the process
  5. Does not consider environmental factors of those who are answering
18
Q

Explain what you know about non-response error (3)

A
  1. Missing answers, divided in several categories
  2. Non-response does not always have to cause problems
  3. Only leads to error if non-respondents differ from respondents in the features that are crucial for the questionnaire
19
Q

What are the different types of non-response (3)?

A
  1. Unit non-response -→ people not participating in survey
  2. Partial non-response -→ individuals who drop out during survey
  3. Item non-response -→ fail to provide answer to specific question(s)
20
Q

Explain what you know about coverage error (3)

A
  1. Error of non-observation because of discrepancies between frame population and actual target population
  2. Usually in internet vs non-internet users
  3. Digital divide and internet penetration rate
21
Q

What is the Frame Population and what is the sampling frame.

A
  1. Frame population = list of target population for sampling
  2. Sampling frame = sample of the frame population
22
Q

What is the difference between coverage error and sampling error?

A
  1. Coverage error → incorrect frame (wrong list of target population)
  2. Sampling error → correct frame, incorrect sample (correct list but wrong selection)
23
Q

What are challenges and benefits of mobile surveys?

A
  1. Challenges: small in size and different/difficult to operate
  2. Benefits: random based sampling solution for web surveys and more freedom, potentially improving non-response rates
24
Q

In what type of research would it be preferable to ask qualitative survey questions instead of quantitative questions?

A
  1. Good fit for explorative research. Answering questions like ‘how’ and ‘why’
  2. Good for obtaining a profound understanding of particular groups or groups of individuals.
25
Q

Explain the difference between probability-based Web surveys and non-probability web surveys and relate this to the problem of generalizability

A
  1. Non-probability means sampling is done in a non-random menner. There are people in the population with zero chance to be selected for the survey sample. Non measuring of sources of non-response
  2. Probability means all members of the target population have an equal chance to be selected to participate in a study. The recruitment process is fully random. Ability to measure different types of non-response
  3. Non-probability web surveys are impossible to generalize to the general population due to coverage and sample errors.
26
Q

Explain the relation between non-coverage, error, digital divide and internet penetration

A
  1. Non-coverage can lead tot a greater total survey error because of a difference between frame population and target population
  2. Non-coverage is caused by the fact that internet penetration is not equal and because people with and without access differ significantly.
  3. THUS not taking these different group of people into account will lead to over representation of internet users thus having larger non-coverage.
27
Q

How is self-administration related to desirability bias and what does this mean for Web surveys

A
  1. Self-administration is seen as less influenced by social desirability.
  2. Good news for Web surveys in making this bias less of an issue
28
Q

Explain the current state and developments of internet penetration and its relation to population size

A
  1. There is a wide variability in Internet penetration
  2. North America and australia/europe are largest
  3. Afrika and asia are smallest
  4. Africa allows for rapid growth and thus their ability to participate in Web surveys
  5. Population size is related to internet penetration in such a way that you’re like to pick someone from a large population, regardless if they would have internet yes or no. So example; you’re likely to pick someone from asia but that someone is likely not to have internet.