Plan the Major Project by selecting a focus, framing inquiry questions, and applying appropriate research and inquiry methods

For 2 marks, define both and state the difference.

Quantitative data is numerical information that can be counted or measured, such as statistics, percentages and survey counts (for example imprisonment rates or attendance figures).

Qualitative data is descriptive, non-numerical information about qualities, experiences and meanings, such as interview responses, yarns, observations and case studies.

The difference: quantitative data measures "how many" or "how much" and is useful for identifying patterns and scale, while qualitative data explores "why" and "how", capturing depth, context and lived experience. Markers reward a clear definition of each and the contrast between numerical and descriptive.

For 4 marks, outline the purpose of each methodology in a fieldwork context.

Quantitative methodologies (surveys, statistics, structured questionnaires) serve to measure the scale and patterns of an issue - for example documenting rates of school attendance, employment or housing in a community. They allow comparison and can show the extent of disadvantage objectively.

Qualitative methodologies (interviews, yarning, participant observation, case studies) serve to capture meaning, context and lived experience that numbers cannot - for example understanding why a community responds to an issue in a particular way and centring Aboriginal voices.

In fieldwork with Aboriginal communities, qualitative methods are especially important for respecting cultural protocols and self-determination, while quantitative methods provide supporting evidence. Used together they give a fuller, more valid picture. Markers reward the purpose of each, ideally with the fieldwork context.

For 5 marks, explain several reasons a range of sources is essential.

Validity and reliability

Drawing on multiple sources (primary and secondary, quantitative and qualitative) allows triangulation, so findings can be cross-checked and are less likely to rest on one biased or unreliable source.

Balance and accuracy

A range of sources helps avoid misrepresentation and captures the diversity of views within and between communities rather than treating Aboriginal peoples as a single voice.

Privileging Aboriginal perspectives

Using a range that prioritises Aboriginal-authored and community sources ensures the research centres Aboriginal voices and respects cultural ownership.

Depth and context

Combining statistics with interviews and case studies gives both the scale of an issue and its lived meaning.

Conclude that a range of sources is essential to make research valid, balanced, accurate and respectful of community perspectives. Markers reward distinct, explained reasons.

Difference (2 marks). Primary methods generate original evidence directly from participants or fieldwork (for example an interview or survey conducted by the researcher); secondary methods draw on existing material produced by others (for example a government report or scholarly text).

Examples (1 mark, one of each required). Primary: an interview with a community member or community-based fieldwork observation. Secondary: a government or community report, statistics, or media analysis.

Marking spine: an accurate contrast between original/researcher-generated and existing/pre-produced evidence (2), one correctly matched example of each type (1).

A suitable inquiry question is (any three developed, or all with brief explanation, for 4 marks):

Open, not yes/no

It should invite explanation and analysis, not a single-word answer.

Analytical

It should ask how or why something occurs, not simply what happened.

Answerable with realistic evidence

The student must be able to gather enough reliable evidence (primary and/or secondary) within the time available to answer it.

Specific/narrow enough

It should focus on a particular community, organisation, practice or issue rather than a whole population or nation.

Marking spine: three or more features named with a brief explanation (4), fewer than three or unexplained features cap at 2-3.

Quantitative data (1.5 marks). Numerical information that can be counted or measured, such as statistics, percentages and survey counts.

Qualitative data (1.5 marks). Descriptive, non-numerical information about qualities, experiences and meanings, such as interview responses, yarns and observations.

Marking spine: 1.5 marks (or equivalent whole-mark allocation) for each accurate definition; a definition that only gives an example with no general statement earns partial credit.

A 5-mark "explain with reference to examples" rewards using the SPECIFIC contrast between the two foci, not a generic definition of "good research".

Why Student A's focus is weak (about 2 marks)

"Aboriginal disadvantage in Australia" is far too broad: it covers an entire continent, many distinct communities and multiple, unrelated issues (health, education, employment, justice), making it impossible to research in the depth a Major Project requires, and it does not identify any specific, accessible community or source base.

Why Student B's focus is strong (about 2 marks)

The ranger-program focus is specific (one organisation, one region), analytical (it asks HOW the program supports outcomes, not just whether disadvantage exists), and researchable (a local, accessible community organisation likely has staff, participants and reports the student could engage with, ethically and respectfully).

General principle (about 1 mark)

A researchable focus is specific, significant, analytical and matched to sources and a community the student can genuinely and respectfully access - as the contrast between the two proposals shows.

Marking spine: an explained weakness in Student A's focus (2), an explained strength in Student B's focus (2), and a stated general principle drawing the two together (1). Comparing the examples with no stated principle caps at 3-4.

A 6-mark "explain" needs the mechanism for each method type plus why combining them adds value beyond either alone.

What primary methods contribute (about 2 marks)

Interviews, surveys, oral histories and community-based fieldwork generate original, first-hand evidence directly from the community involved, capturing current, locally specific perspectives and lived experience that no external source can provide.

What secondary methods contribute (about 2 marks)

Scholarly texts, government and community reports, statistics and media give broader context, allow comparison with other communities or over time, and can corroborate or challenge what primary sources reveal.

Why combining them matters (about 2 marks)

Using both allows triangulation, checking whether the community's own account (primary) is consistent with the wider context and evidence base (secondary); relying on only one type risks either an unrepresentative, single-source account (primary alone) or a decontextualised, potentially outsider-authored picture with no direct community voice (secondary alone).

Marking spine: primary contribution explained (2), secondary contribution explained (2), an explicit triangulation/validity argument for combining them (2). Describing each method type with no stated benefit of combining them caps at 4.

Purpose (about 2 marks). The project log documents the sequential development of the Major Project, including decisions made, methods used, and the nature and timing of any community-based fieldwork; it is itself part of the assessment, not just a diary.

Why it must be kept throughout (about 3 marks). A log written retrospectively risks inaccurate or reconstructed detail (dates, decisions, exactly what was agreed with participants), which weakens its value as an ethical record of consent and protocol; keeping it current also lets a student demonstrate genuine, disciplined inquiry (adjusting methods when something is not working) rather than presenting a tidied-up narrative after the fact, and it protects both the participants and the integrity of the research if questions arise later about what was agreed.

Marking spine: purpose stated accurately (2), at least two distinct reasons for maintaining it throughout explained (3, partial credit for one). Stating only "it records what you did" with no reason for real-time maintenance caps at 2.

A 7-mark "explain" needs self-determination applied specifically to BOTH planning decisions, not treated as one generic value statement.

Shaping the choice of focus (about 3-4 marks). Self-determination means Aboriginal and Torres Strait Islander peoples have the right to lead and direct research that affects them; in choosing a focus, this means favouring topics developed WITH a community's input or existing priorities (for example a project co-designed around what a local organisation wants understood or shared) rather than a topic the student finds interesting "about" a community with no community input into the framing.

Shaping the choice of methods (about 3-4 marks). In selecting methods, self-determination means privileging methods that give the community genuine voice and control - interviews and yarning that let participants shape what is discussed, secondary sources that are Aboriginal-authored where possible, and data storage/reporting decisions the community has agreed to (data sovereignty) - rather than methods chosen purely for the researcher's convenience, such as an anonymous survey designed without any community consultation on its questions.

Marking spine: self-determination applied specifically to focus-choice with a mechanism (3-4), applied specifically to method-choice with a mechanism (3-4). An answer that only defines self-determination once and does not separately address both focus and methods caps at 4.

An 8-mark "assess" needs a sustained judgement about IMPORTANCE, developed with reasoning and examples, not a description of the methods available.

Band 6 PLAN.

Thesis: Matching methods to focus and inquiry questions is of central importance to a Major Project, because a mismatch undermines both the validity of the findings and the ethical integrity of the research process, though a well-matched method set alone cannot compensate for a poorly framed focus.

Argument 1 - method choice determines whether the inquiry question can actually be answered. An inquiry question asking HOW a local program supports employment outcomes requires methods that can capture process and meaning (interviews, participant observation, case studies), not solely quantitative data; choosing only a survey with fixed-response questions would leave the "how" largely unanswered, producing a project with impressive-looking data that does not actually address its own question.

Argument 2 - method choice affects ethical and cultural appropriateness, not just data quality. Some inquiry questions (for example those touching cultural practice, ceremony or sensitive community history) require methods built around cultural protocol, such as yarning led by community members and fieldwork approved by Elders, rather than methods imported unchanged from other social science contexts; a mismatch here risks not just weak data but real cultural harm.

Counter-weight / judgement: even a perfectly matched set of methods cannot rescue a poorly chosen focus (too broad, or one the researcher cannot access respectfully) - so matching methods to questions is necessary but not sufficient. On balance, however, it is a major determinant of quality, because even a strong focus can be undermined by mismatched methods (for example a quantitative-only approach to a "why"/"how" question), while a well-matched method set maximises what a good focus can deliver.

Marker's note: markers reward a stated judgement of "importance" (not a list of method types); at least two distinct mechanisms (answering the question; ethical/cultural appropriateness) each illustrated; and an explicit counter-weight resolved into a final position. A response describing primary/secondary methods generally, with no argument about the CONSEQUENCE of matching or mismatching them, cannot reach the top band.