Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. According to the PLoS One study by Duke and Holt (published August 25, 2026), researchers used a mixed-methods Delphi process to produce two consensus definitions of climate change acceptance for undergraduate science students. The primary audience for this post is qualitative researchers and university educators who want to apply AI-enabled methods to reproducibly code, compare, and report acceptance constructs using the exact instruments and participant counts reported in the study.
Key Takeaways
According to the PLoS One study by Duke and Holt (published August 25, 2026), the Delphi process produced two defensible definitions of climate change acceptance for undergraduate science students and highlighted when to use each definition.
- A scoping review between October 2023 and February 2024 identified 523 articles and extracted 3, 089 items measuring climate change acceptance, of which 2, 402 items were unique, according to Duke and Holt in PLoS One (published August 25, 2026).
- Duke and Holt reported engaging 210 experts and stakeholders across four iterative Delphi rounds (data collection April 2024–July 2025) and reached stability in responses by Round 4, according to the PLoS One article.
- The study concluded two final definitions: the Anthropogenic + Mechanistic Definition, "Climate change is happening, average temperatures and greenhouse gases are increasing globally, and human behaviors are causing it, " and the simpler Anthropogenic Definition, "Climate change is happening and human behaviors are causing it, " (Duke and Holt, PLoS One, published August 25, 2026).
- Round-level agreement in the study varied: in Round 2, 50.9% (n = 29) selected the longer definition; in Round 3, 69% (n = 18) selected it; and in Round 4, 64% (n = 70) selected the simpler definition, as reported in PLoS One.
What Happened: The PLoS One Delphi study in plain terms
The PLoS One study by Duke and Holt (published August 25, 2026) used a mixed-methods Delphi approach to define climate change acceptance specifically for undergraduate science students.
According to Duke and Holt in PLoS One, the research combined a scoping review (Oct 2023–Feb 2024), a 15-item pilot survey of 15 undergraduate students in April 2024, and four rounds of interviews and surveys (April 2024–July 2025) with educators and stakeholders to achieve consensus.
According to the authors in PLoS One, the team distilled 3, 089 instrument items from 523 articles into a preliminary framework of 14 constructs, then iteratively reduced definitions through educator feedback until two stable, population-specific definitions remained.
The PLoS One article reports that expert rationale showed bipolarity of opinion and learning-progression considerations, which is why the authors retained both definitions rather than forcing a single consensus.
Findings Snapshot
| Date / Period | Metric | Value | Implication |
|---|---|---|---|
| Oct 2023–Feb 2024 | Articles reviewed in scoping review | 523 articles | Provides the evidence base for a 14-construct preliminary framework (Duke & Holt, PLoS One, published Aug 25, 2026) |
| Scoping review results | Instrument items extracted | 3, 089 items (2, 402 unique) | Demonstrates high variability in how acceptance has been measured (Duke & Holt, PLoS One) |
| Round 2 (Dec 2024 data collection) | Top-choice for longer definition | 50.9% (n = 29) | Early plurality favored the Anthropogenic + Mechanistic Definition (PLOS ONE) |
| Round 3 (Feb 2025 data collection) | Top-choice for longer definition | 69% (n = 18) | Majority briefly favored mechanistic detail before final reconsideration (PLOS ONE) |
| Round 4 (July 2025 data collection) | Top-choice for simpler definition | 64% (n = 70) | Final sample shifted preference toward the concise Anthropogenic Definition (PLOS ONE) |
Implications for university educators and qualitative researchers
For educators: choose the Anthropogenic Definition for baseline measures or introductory courses and the Anthropogenic + Mechanistic Definition for advanced courses, as recommended by Duke and Holt in PLoS One (published Aug 25, 2026).
For qualitative researchers: the PLoS One study shows that prior instruments are heterogeneous, so you should map existing survey items against the study's 14-construct framework before claiming you measure "acceptance, " according to Duke and Holt.
For assessment designers: the PLoS One authors warn that conflating knowledge and acceptance can bias measures; therefore, define your construct (acceptance vs knowledge) explicitly when you design coding schemes and survey items.
How Evidano Helps: AI-enabled qualitative workflows mapped to the study
Problem: Heterogeneous instruments and 3, 089 extracted items
Solution: Use Evidano to ingest documents and spreadsheets to automatically align items to a codebook.
According to the PLoS One study (Duke & Holt, published Aug 25, 2026), a scoping review produced 3, 089 items; Evidano can accelerate mapping these items to the study's 14-construct framework via AI-assisted thematic tagging and frequency counts.
Feature link: see Evidano's features for thematic analysis and cross-segment comparisons.
Problem: Iterative Delphi text and coder burden across four rounds
Solution: Evidano transcribes interviews (with custom dictionaries and PII redaction), codes open responses, and generates stability metrics across rounds to replicate Delphi-style consensus assessments.
According to Duke and Holt in PLoS One, their Delphi rounds ran April 2024–July 2025 with evolving item sets; Evidano's transcript and revision tracking reduces manual re-coding when definitions change.
Feature link: use Evidano's speech-to-text for accurate transcription before coding.
Problem: Need for transparent, reproducible frequency and thematic counts
Solution: Evidano produces frequency tables, co-occurrence networks, and code→subcode hierarchies that mirror the PLoS One study's approach to demonstrating content validity across student and expert responses.
According to the PLoS One authors, triangulating student pilot data with educator interviews supported content validity; Evidano's exports make audit trails and coding rationale explicit for publication.
Problem: Comparing definitions across student levels
Solution: Evidano supports cross-segment analysis so you can compare first-year versus senior student responses (the same comparison Duke and Holt asked in Round 3), enabling evidence-based choice between the Anthropogenic and Anthropogenic + Mechanistic definitions.
According to Duke and Holt in PLoS One, educator responses suggested learning-progression differences; Evidano lets you slice by cohort, course level, or major to test those hypotheses quickly.
FAQ: qualitative analysis of climate change acceptance
What are the working definitions of climate change acceptance from the PLoS One Delphi study?
Answer: The study reports two population-specific definitions: the Anthropogenic Definition and the Anthropogenic + Mechanistic Definition.
According to Duke and Holt in PLoS One (published Aug 25, 2026), the Anthropogenic Definition is "Climate change is happening and human behaviors are causing it, " and the Anthropogenic + Mechanistic Definition is "Climate change is happening, average temperatures and greenhouse gases are increasing globally, and human behaviors are causing it."
How many experts participated and over what period?
Answer: The authors engaged 210 experts and stakeholders across four Delphi rounds conducted between April 2024 and July 2025.
According to Duke and Holt in PLoS One, recruitment began in April 2024 and ended July 2025, with Round 2 reporting 58 participants, Round 3 reporting 26 consenting participants, and Round 4 yielding 111 completed surveys in a conference sample.
Does this study mean one definition fits every classroom?
Answer: No, the authors retained two definitions because expert opinion showed bipolarity and learning-progression reasons for different choices.
According to Duke and Holt in PLoS One, some educators preferred the concise Anthropogenic Definition for baseline assessment while others preferred the Anthropogenic + Mechanistic Definition for advanced student targets.
How can AI improve replicability when measuring acceptance?
Answer: AI can standardize coding, speed frequency counts, and maintain an auditable trail of how items map to constructs.
According to the PLoS One article, inconsistent operationalization across 523 articles created comparability problems; AI-assisted thematic analysis helps align disparate items to a single validated framework.
Can I reproduce the study's coding and counts with an AI tool?
Answer: Yes, with an AI tool you can reproduce thematic codebooks, inter-round stability metrics, and frequency counts if you preserve transcripts and code mappings.
According to Duke and Holt in PLoS One, the study used transcribed interviews, pilot student responses, and iterative survey rounds to triangulate content validity; digitizing those materials into a platform like Evidano enables repeatable analysis and exportable evidence for publication.
Conclusion & Next Steps
The PLoS One Delphi study (Duke & Holt, published August 25, 2026) established two defensible definitions of climate change acceptance for undergraduate science students and documented the scope and variability of prior instruments.
For qualitative researchers and educators, the pragmatic choice between the Anthropogenic and Anthropogenic + Mechanistic definitions depends on course level and whether you need a knowledge-gated measure, as recommended by Duke and Holt in PLoS One.
If you need an AI-enabled workflow to transcribe, code, and compare acceptance measures at scale, Evidano can map items to the 14-construct framework, produce frequency and cross-segment analyses, and preserve reproducible audit trails (see features).
For hands-on testing, Try Evidano for free to upload transcripts or survey items and run a thematic alignment to the definitions reported in PLoS One (Duke & Holt, 2026).
Quote from a participating educator reported in PLoS One: "it was the most comprehensive" explaining why many experts initially favored the longer definition, and the authors note that simplicity later drove preference toward the shorter definition (Duke & Holt, PLoS One, published Aug 25, 2026).
Topics
- qualitative analysis of climate change acceptance
- AI qualitative research climate change
- Delphi study climate change acceptance
- qualitative coding climate change
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- Commentary on NewsTwo Definitions: Climate Change Acceptance for UndergradsHow a PLoS One Delphi study (Aug 25, 2026) defined climate change acceptance for undergraduate science students, and how AI-enabled qualitative analysis applies it.
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