SACE Stage 2 Cross-disciplinary Studies flashcards
SACE Stage 2 Cross-disciplinary Studies · Build recall with a focused review session.
32 cards. Read the term and the definition here. The deck at the top of this page is optional.
- Cross-disciplinary question
- An open, contestable question that cannot be answered using one discipline's concepts and methods alone, requiring evidence from at least two distinct knowledge bases to be integrated.
- Multidisciplinary approach
- An approach where several disciplines examine the same issue in parallel but retain their separate methods and conclusions, without blending them into a single integrated synthesis.
- Interdisciplinary approach
- An approach in which concepts, methods and evidence from different disciplines are combined and modified to produce an integrated understanding that no single discipline could reach alone.
- Transdisciplinary approach
- An approach where academic disciplines collaborate with non-academic stakeholders, such as communities or industry, to co-produce the question, methods and interpretation of findings.
- Triangulation
- Using two or more independent sources, methods or researchers to examine the same claim; convergence across them reduces uncertainty but does not constitute proof.
- Informed consent
- A research ethics requirement that participants receive full information about the study's purpose, procedures, risks and data use, and voluntarily agree to take part without coercion.
- Scope statement
- An explicit declaration of the boundaries of an inquiry, such as time period, location and population, which keeps the question answerable within available time and evidence.
- Primary versus secondary evidence
- Primary evidence is data collected firsthand for the inquiry; secondary evidence is analysis produced by others. Primary ranks higher but still requires quality appraisal.
- Disciplinary paradigm
- The set of assumptions, accepted methods, key concepts and evidence standards a discipline uses; naming it reveals why disciplines may judge the same claim differently.
- Level of analysis
- The scale at which a claim is made, such as individual, group, institutional or global; causes at one level may not explain outcomes at another.
- Equivocation across disciplines
- A reasoning error where a term borrowed from another discipline, such as 'resilience' or 'system', keeps its old meaning while being used in a new context.
- Correlation and causation
- An association between variables does not establish that one causes the other; causal claims need a mechanism, correct temporal order and control of confounding variables.
- Confounding variable
- An unmeasured factor that influences both the supposed cause and the observed effect, creating a spurious association that can mislead causal interpretation.
- Absolute versus relative risk
- Relative risk compares rates as a ratio; absolute risk states the actual number affected. Reporting only relative risk can exaggerate the apparent size of an effect.
- Model limitations
- Every model simplifies reality by omitting variables and assuming relationships; stating what is omitted and how that could alter conclusions is part of valid use.
- Source credibility appraisal
- Judging a source by author expertise, publication venue, date, funding, replication status and whether claims are supported by cited evidence rather than assertion.
- Warrant in argument
- The usually unstated assumption that links evidence to a claim; identifying the warrant shows exactly where an argument can be challenged or defended.
- False dilemma
- A fallacy that presents only two options when more exist, forcing a choice between extremes and excluding middle positions or alternative solutions.
- Straw man fallacy
- Misrepresenting or exaggerating an opposing position so it is easier to attack, then refuting the distorted version instead of the actual argument.
- Post hoc fallacy
- Assuming that because one event followed another, the first caused the second; temporal sequence alone does not establish a causal relationship.
- Counterargument protocol
- Stating the strongest opposing position fairly, then responding with evidence or a limited concession; refuting a weakened version of the opposing view proves nothing.
- Assumption audit
- Listing what must be true for a conclusion to hold, then ranking each assumption by how severely its failure would undermine the argument.
- Divergent and convergent thinking
- Divergent thinking generates many varied possibilities without early judgement; convergent thinking then screens them against explicit criteria such as feasibility, ethics and evidence.
- Analogy as illustration
- An analogy clarifies a point but is not evidence; it supports reasoning only when the relevant structural features, not surface similarities, genuinely match.
- Calibrated uncertainty language
- Matching claim strength to evidence strength: 'demonstrates' for replicated findings, 'suggests' for single studies, and 'may' for modelled or projected outcomes.
- Group decision rule
- A pre-agreed method for reaching team decisions, such as consensus for shared ownership or majority vote under time pressure, recorded with rationale and dissent.
- Contribution log
- A dated record of which team member completed which task, supporting fair assessment of individual accountability within a collaborative project.
- Conflict escalation ladder
- A staged procedure for disagreement: clarify the issue, return to shared criteria, then seek third-party mediation; personal attack is never a permitted step.
- Audience analysis
- Identifying the audience's prior knowledge, purpose and expectations so that register, jargon level, format and evidence type can be adjusted appropriately.
- Honest data presentation
- Labelling axes and units, keeping scales proportional, citing sources on figures and avoiding decorative elements that distort comparison between values.
- Reflective cycle
- A structured process of describing an experience, analysing what caused the outcome, evaluating it against criteria, and planning a specific changed action.
- Actionable feedback
- Feedback that is specific, behavioural, timely and tied to stated criteria, so the recipient can identify exactly what to continue or change.