
GROUP 13
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Professional Development
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
1. According to Cohen and Manion (1994), what is triangulation considered to be in research design?
A secondary tool for data analysis
An unnecessary complication
A central methodological concept
A qualitative-only technique
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
2. What does Denzin (1970) suggest about triangulation?
It only applies to qualitative research
It should always use the same method
There is more than one type of triangulation
It eliminates the need for sampling
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
3. What is the purpose of data triangulation as defined by Denzin (1970)?
Applying more than one researcher
Using more than one theoretical framework
Applying more than one sampling method for data collection
Combining different writing styles
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
4. What does investigator triangulation involve?
Using two different types of data
Using more than one researcher
Repeating experiments for reliability
Comparing findings from two theories
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
5. Which two types of triangulation are considered the most commonly used in research?
Theoretical and investigator triangulation
Intra-method and inter-method triangulation
Data triangulation and methodological triangulation
Qualitative and quantitative triangulation
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
6. Which of the following is true about the mixed methods paradigm?
6. Which of the following is true about the mixed methods paradigm?
It only uses qualitative tools
It promotes an "anything goes" approach
It involves over 40 types of designs
It avoids theoretical grounding
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
7. Which of the following is not listed as an example of integrating quantitative and qualitative methods?
7. Which of the following is not listed as an example of integrating quantitative and qualitative methods?
Using two types of research questions
Conducting literature reviews in two languages
Applying two types of data analysis
Using two types of sampling procedures
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