Identify and Analyse Arguments, Evidence and Perspectives
1. Key Concepts & Terminology (AO1)
Term
Cambridge (9239) Definition
Argument
A claim supported by reasons, evidence and logical links.
Claim
The central point or position being asserted.
Warrant
The logical principle that connects the claim to the evidence.
Backing
Additional justification that strengthens the warrant (e.g., theory, data).
Qualifier
Words that limit the strength or scope of the claim (e.g., “usually”, “in most cases”).
Rebuttal
Counter‑arguments or objections that the author anticipates and addresses.
Assumption
Unstated belief that underpins an argument or perspective.
Perspective
The viewpoint or stance of an individual, group or institution.
Provenance
The origin of a source – author, institution, date and context of production.
Evidence
Data, facts, statistics, expert testimony, examples or other material that supports a claim.
Critical Thinking
Systematic evaluation of information for validity, relevance, bias and reliability.
Evaluation
Judging the strength, reliability and significance of arguments, evidence and perspectives.
2. The Critical Path (Deconstruction → Reconstruction → Reflection → Communication & Collaboration)
Deconstruction (AO1) – Identify claims, warrants, backing, qualifiers, rebuttals, assumptions and the perspectives involved.
Reconstruction (AO2) – Organise the identified elements into a logical, balanced argument; synthesize evidence from different sources.
Reflection (AO2) – Assess how the analysis has altered your own stance and note any new questions.
Communication & Collaboration (AO3) – Present findings clearly (report, presentation, infographic) and, where required, work with peers to share sources and critique each other’s work.
Checkpoint after each stage: “What have I discovered? What still needs clarification?” – aligns with the assessment objectives.
3. Toulmin Model of Argument Analysis
Component
What to Look For
Example (Carbon‑tax debate)
Claim
Explicit statement of the author’s position.
“Carbon taxes reduce greenhouse‑gas emissions.”
Data/Evidence
Facts, statistics, quotations that support the claim.
OECD data showing a 2.5 % annual reduction.
Warrant
Underlying principle linking evidence to claim.
Economic incentives change behaviour.
Backing
Additional support for the warrant (theory, research).
Studies on price elasticity of fuel.
Qualifier
Words that limit the claim’s certainty.
“If the tax is set at a sufficient level.”
Rebuttal
Counter‑argument(s) acknowledged by the author.
“Low‑income households may be disproportionately affected.”
Assumption
Implicit belief that must be true for the argument to hold.
Consumers respond to price changes.
Mini‑exercise: Take the following excerpt and fill in the Toulmin table. “Introducing a sugar‑tax will cut childhood obesity because higher prices discourage sugary drink purchases, as shown by Mexico’s 10 % fall in sales after the tax was introduced. However, critics say the tax will hit low‑income families hardest.”
Timeliness – currency of the data for the issue at hand.
Bias & perspective – any agenda, cultural or ideological slant.
Primary vs. secondary – primary data are original (surveys, interviews, observations); secondary data interpret or analyse primary sources (journal articles, reports).
Justifying the choice of evidence – explain why each source best answers your research question (e.g., “I used the ONS household energy dataset because it provides the most recent disaggregated expenditure figures for low‑income households”).
5. Evaluating Perspectives (AO1 + AO2)
Identify all relevant stakeholders (government, NGOs, industry, affected communities, etc.).
Uncover each stakeholder’s assumptions.
Compare strengths & weaknesses:
Evidence base (quantity, quality, relevance)
Logical coherence
Feasibility and practical implications
Consider the wider impact (social, economic, environmental, ethical).
Reflect on your own bias and how it may shape interpretation.
6. Research Methods & Methodology (Component 4)
Choose methods that best answer your research question, then justify the choice.
Literature review – systematic analysis of secondary sources; ideal for establishing the scholarly context.
Surveys / Questionnaires – collect quantitative primary data; useful for measuring attitudes or behaviours across a large sample.
UK Office for National Statistics – household energy expenditure 2023 (primary data from public dataset).
Interviews with 12 low‑income residents (primary qualitative, 2024).
Argument (Toulmin):
Claim: A well‑designed carbon tax can lower emissions without disproportionately harming low‑income households.
Data: Sweden’s sugar‑tax led to a 10 % drop in sugary‑drink sales; a UK rebate scheme reduced the cost burden by 30 %.
Warrant: Financial incentives alter consumption patterns when revenue is recycled.
Backing: Economic literature on price elasticity of energy demand.
Qualifier: “Provided that a targeted rebate or dividend is implemented.”
Rebuttal: Critics argue administrative costs may erode rebates.
Assumption: Households respond to price signals rather than habit.
Evaluation of evidence:
Credibility – OECD and ONS are authoritative; interview sample is small but offers contextual depth.
Relevance – Directly addresses emissions and household cost.
Bias – Government data may under‑report informal energy use; interviewees may exaggerate hardship.
Timeliness – All sources 2020‑2024 – current for policy debate.
Perspective analysis:
Government – emphasises environmental targets; assumes rebate will offset regressive impact.
Low‑income households – worry about immediate cost spikes; value certainty of income support.
Environmental NGOs – prioritise emissions reduction, support tax even if modest regressive effects.
Reflection: The evidence suggests that a carbon tax can be socially acceptable if revenue recycling is robust; my initial view that any tax is inherently unfair has been nuanced.
Communication: Findings presented in a 2 500‑word report (Harvard citations), a 10‑minute slide deck, and an infographic illustrating the tax‑rebate flow.
13. Assessment Criteria (What Examiners Look For)
AO1 – Knowledge & Understanding (65 %): Accurate identification of arguments, terminology, evidence and provenance.
AO2 – Application & Analysis (20 %): Depth of evaluation, synthesis of multiple perspectives, reflective insight, justification of methods.
AO3 – Communication (15 %): Logical structure, academic language, correct referencing, effective visual presentation, and evidence of collaboration where required.
14. Suggested Diagram
Flowchart – From Research Question to Evaluation of Arguments & Evidence (illustrates the Critical Path).
15. Quick Checklist for Students (AO1‑AO3)
✔️ Defined a clear research question and linked it to at least three global topics.
✔️ Collected both primary and secondary evidence; recorded provenance for every source.
✔️ Identified claim, warrant, backing, qualifier, rebuttal and underlying assumptions using the Toulmin table.
✔️ Evaluated each piece of evidence for credibility, relevance, accuracy, timeliness and bias.
✔️ Compared at least three perspectives, noting stakeholder interests and assumptions.
✔️ Reflected on how the analysis has changed your own view and noted further questions.
✔️ Structured the report with clear headings, Harvard/APA citations and a full bibliography.
✔️ Met all ethical requirements and signed the Declaration of Authenticity.
✔️ Documented collaboration (task allocation, peer‑review notes) for team projects.
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