Module 7 quiz
You are now at the end of the Developing data collection methods module. The following assessment will test your knowledge from the module. There is not a pass mark needed to continue with the course, however, the final assessment at the end of the course will require a pass-mark.

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Question 1 of 9
1. Question
1. True or false: Poor quality data collection tools can lead to findings and conclusions which may by low in validity.
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Question 2 of 9
2. Question
2. Match the type of question with their description
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- Ask about how thinga are now. The same person will complete the same question at set intervals over a fixed period of time.
- Ask questions which involve the participants reflecting back over a period of time to report whether anything has changed in this period.
- Respondents have flexability over how they respond. These types of questions generate qualitative data.
- Respondents are given a restricted list of options to choose from. These could include questions on a Likert scale.
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Status questions
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Impact questions
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Open questions
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Closed questions
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Question 3 of 9
3. Question
3. When creating a scale to collect your data you should: (Please select all that apply)
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Question 4 of 9
4. Question
4. Which of the following data collection methods would probes and promts be used?
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Question 5 of 9
5. Question
5. Is the following a leading question?: You liked the way our product looked, didn’t you?
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Question 6 of 9
6. Question
6. Fill in the blank relating to considerations when developing questions
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When creating questions, it is best to keep wording as (general/political/neutral) as possible and not include adjectives that introduce emotion into the question.
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Question 7 of 9
7. Question
7. Fill in the blank relating to considerations when developing questions
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A closed question could be (leading/generalised/specific) if it uses an unbalanced response scale that includes a higher number of positive or negative questions that could influence the respondents answers towards the responses with the higher proportion of options.
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Question 8 of 9
8. Question
8. True or false: Validy refers to how replicable your results are (the same results can be found repeatedly).
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Question 9 of 9
9. Question
9. Match the type of validity with its description
Sort elements
- Explores the extent to which the questions within your tool measures what you intend it to. measure.
- Looks at whether questions measure of all aspects of the concept being measured.
- Refers to how suitable the content of the tool (the questions) seems to be on the surface in an informal and slightly subjective way.
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Construct validity
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Content validity
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Face validity
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