GROUP 13

GROUP 13

Professional Development

10 Qs

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GROUP 13

GROUP 13

Assessment

Quiz

English

Professional Development

Medium

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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

  1. 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

  1. 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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