Qualitative Data Analysis Quiz

Qualitative Data Analysis Quiz

11th Grade

10 Qs

quiz-placeholder

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Qualitative Data Analysis Quiz

Qualitative Data Analysis Quiz

Assessment

Quiz

Others

11th Grade

Hard

Created by

Mary Devilla

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the components involved in formal systems for analysis of qualitative data?

Conducting surveys, organizing data, and building themes

Interviewing techniques, transcribing data, and analyzing findings

Coding techniques, grouping similar information, and relating different ideas

Summarizing data, finding outliers, and ensuring reliability

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

According to O’Connor & Gibson (2003), what is the first step in analyzing qualitative data?

Organizing the data

Finding and organizing ideas and concepts

Building over-arching themes

Ensuring reliability and validity

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the term used to describe the consistency of research findings?

Validity

Triangulation

Corroboration

Reliability

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of triangulation in qualitative data analysis?

Ensuring confidentiality of data

Comparing different research methods

Enhancing validity and reliability

Reducing the number of interviews needed

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can researchers ensure validity in the data analysis process?

Ignoring negative instances in the data

Using complex statistical analysis

Conducting more interviews

Comparing coding strategies with a colleague

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the term used to describe the accuracy with which a method measures what it is intended to measure?

Validity

Reliability

Corroboration

Triangulation

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the most intellectually challenging phase of qualitative data analysis according to Marshall & Ross (1995)?

Ensuring reliability and validity

Building over-arching themes

Organizing data into codes and categories

Identifying salient themes and recurring ideas

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