Publishing with Interview Data - Dr. Heather Vough

Which of the following best describes how to begin the process of collecting interview data?

Starting with purposeful sampling, then iterating
Randomly selecting a large group of participants
Starting with theoretical sampling
Waiting until saturation is confirmed before any analysis

What is a recommended strategy for getting access to interview participants?

Leveraging networks, social media, and university resources
Submitting FOIA requests
Offering large monetary incentives
Cold calling individuals without prior connection

Which of the following is a key recommendation when developing interview protocols?

Keep questions clear, short, and jargon-free
Use long, theory-heavy questions
Avoid follow-up questions to maintain neutrality
Include leading questions to steer discussion

What is theoretical saturation in qualitative research?

When no new themes emerge and categories are well-developed
When all participants agree on the same idea
When enough participants have been interviewed to publish the paper
When all planned questions have been asked

Which of the following statements reflects Saunders and Townsend’s view on interview sample sizes?

Authors should be transparent about the numbers of interviews they conducted and why they feel that number is sufficient
A fixed number of interviews should always be used
Sample size should be decided before data collection
Saturation is required to establish validity

From a grounded theory perspective, when should you start analyzing your interview data?

As early as possible, during data collection
Only after all data has been collected
Before developing your interview protocol
Once theoretical saturation is confirmed

What is the purpose of using the “decompose/recompose” technique in data analysis?

To break data into codes and themes, then build a theoretical model
To prioritize statistical generalizability
To identify and group stories by narrative arc
To test the reliability of coding through experiments

What distinguished a “workhorse quote” from a “tantalizing quote” in qualitative findings?

Workhorse quotes offer high comprehensiveness; tantalizing quotes are more vivid and evocative
Workhorse quotes are vivid, while tantalizing quotes are not
Tantalizing quotes provide methodological rigor
Workhorse quotes are not recommended for publication

What are the three main objectives of a Findings section?

Tell a story of findings, show rigor, and support experimentation
Prove a hypothesis, impress reviewers, and present all raw data
Validate the method, critique prior literature, and confirm statistical trends
Document procedures, summarize all interviews, and define constructs

When organizing quotes for the Findings section, what is one key recommendation?

Categorize quotes as anchor, patchwork, tantalizing, or workhorse
Select only quotes that use academic terminology
Use one quote per themes to keep the findings concise
Only include quotes in appendices, not in the main text

What is the purpose of storyboarding in writing qualitative findings?

To arrange claims and quotes into a coherent narrative
To determine which participants will be included in the study
To prepare figure for the discussion section
To edit quotes to meet publication length limits

What is a key reason to use ellipses (…) or brackets [ ] when editing quotes?

To emphasize the participant’s main point
To change the meaning of a quote for clarity
To avoid using pseudonyms
To make quotes appear more academic

Which of the following is one of the five tips for avoiding rejection of qualitative papers?

Set the hook and be transparent with methods
Only report positive results
Use statistics to validate all findings
Submit the paper to multiple journals at once

In the distinction between “little t” and “Big T” theory, what does “little t” theory represent?

Specific explanations derived from the data and prior literature
Abstract philosophical claims with little empirical base
Broad contributions to a field’s central assumptions
Theoretical citations used to justify methodology

What is a key challenge authors must address when describing their data analysis process in publications?

Showing how coding led to a theoretical model
Explaining how coding software works
Demonstrating quantitative reliability of themes
Replicating existing coding structures exactly

What is the hallmark of a good response to a reviewer?

Addressing comments respectfully and thoroughly, while justifying disagreements with evidence
Ignoring minor comments to save time
Agreeing with all reviewer feedback to ensure acceptance
Submitting a completely rewritten manuscript without explanation

Which of the following is true about disagreeing with reviewers or editors?

It is acceptable if the disagreement is well-justified and respectfully framed
It is never acceptable in academic publishing
It should be avoided at all costs to protect reviewer relationships
Only editors can disagree with reviewers, not authors

What does Bedeian primarily criticize in the peer review process?

Inability to consistently identify reviewers who can responsibly evaluate manuscripts
Overuse of statistical analysis in qualitative papers
Lack of access to manuscripts under review
Too many papers being accepted without revisions

Which of the following is not considered a hallmark of a good review?

Harsh language to emphasize criticism
Constructive tone and clear suggestions
Reasonable length with structured feedback
Respect for author’s voice and intentions

When deciding whether to accept an invitation to review a paper, which question should you consider?

Whether you have time and relevant expertise to do the review responsibly
Whether the author has cited your work
Whether you are friends with the editor
Whether the topic is trendy or likely to be published quickly

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Publishing with Interview Data – Dr. Heather Vough

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