Two Consensus Definitions: climate change acceptance definition

Answer: Use the simpler Anthropogenic Definition when you need a baseline measure and use the Anthropogenic + Mechanistic Definition when you expect students to demonstrate mechanistic knowledge, as recommended by the PLOS One study (Aug 25, 2026).

According to PLOS One (Aug 25, 2026), educators who prefer the mechanistic wording argued that "it outlined the mechanism by which climate change occurs and how human activities are drivers of these mechanistic entities, " while other educators valued simplicity for survey reliability.

Answer: Anchor your survey items to one of the two definitions before validating instruments, because the PLOS One authors warn that inconsistent definitions prevent comparability across studies (PLOS One, 2026).

According to PLOS One (Aug 25, 2026), the authors found 15 candidate definitions in Round 2 and trimmed them to two stable choices, demonstrating that item pools and construct mapping must follow an explicit definition to support content validity.

Answer: Report which definition you used, the academic level of the students, and evidence of instrument validity; the PLOS One team recommends making definition choice explicit to avoid misinterpretation (PLOS One, 2026).

According to PLOS One (Aug 25, 2026), the authors caution that conflating knowledge with acceptance can skew findings, so evaluators should separate acceptance constructs from knowledge measures during analysis.

Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.

Problem: Large qualitative corpora slow Delphi-style coding and stability checks; Solution: Evidano ingests transcripts and open responses, applies thematic and frequency analysis, and produces code→subcode hierarchies to accelerate iterative definition drafting.

Answer: Evidano automates thematic extraction and cross-round frequency tracking so you can quantify stability across Delphi rounds.

Practically, you can upload interview transcripts and survey free-text, run co-occurrence and hierarchical coding, and export counts that mirror the PLOS One approach to track when themes saturate.

Answer: Evidano supports transcription with custom dictionaries and PII redaction to speed interview processing while meeting IRB constraints.

For projects like the PLOS One Delphi, using Evidano’s speech-to-text reduces manual transcript cleanup and preserves sensitive qualitative data for secure analysis.

Answer: Evidano provides AI chat over your documents so teams can test wording variants and surface which participant quotes support each phrase.

This supports the PLOS One practice of presenting percent agreement and rationale to subsequent rounds, and Evidano keeps traceable outputs for reporting content validity.

If you want to prototype workflows, see Evidano’s feature overview at Evidano Features and review transcription options at Evidano Speech-to-Text.

Answer: The two definitions are the Anthropogenic Definition and the Anthropogenic + Mechanistic Definition, as reported in PLOS One (Aug 25, 2026).

The PLOS One study quotes the final wording: "Climate change is happening and human behaviors are causing it." and "Climate change is happening, average temperatures and greenhouse gases are increasing globally, and human behaviors are causing it." (Duke and Holt, PLOS One, 2026).

Answer: Use the Anthropogenic Definition for baseline or incoming students and use the Anthropogenic + Mechanistic Definition when your course expects mechanistic understanding, per the PLOS One authors' reporting of learning progression rationales (PLOS One, Aug 25, 2026).

The PLOS One Delphi found that some experts selected different definitions for a hypothetical first-semester freshman and final-semester senior, citing knowledge progression as the rationale (PLOS One, 2026).

Answer: The study engaged 210 experts and stakeholders across four iterative rounds and stopped when thematic saturation and response stability were observed (PLOS One, Aug 25, 2026).

The authors reported Round 2 percentages, Round 3 stability (69% preference for the mechanistic wording), and a Round 4 shift to 64% preferring the simpler Anthropogenic Definition, demonstrating oscillation and final stability (PLOS One, 2026).

Answer: Yes, AI-enabled qualitative tools can quantify thematic emergence and stability and flag diminishing returns in new themes, replicating the Delphi stopping criterion described by the PLOS One authors (PLOS One, 2026).

Practically, automated topic frequency tracking across rounds lets you see when new themes appear below a preset threshold, supporting the "point of diminishing returns" used in Delphi studies (PLOS One, 2026).