Pick a dissertation topic you can defend and ground it in the literature.

A working studio for graduate researchers across quantitative and qualitative traditions. Seven modules take you from a vague interest to a researchable question: scope the topic, map the literature, test the topic's feasibility, craft the research question, choose a method that fits, build an alignment map your committee can follow, and evaluate the whole topic through the 4 Us.

Why topic selection is the hardest chapter

Most dissertation delays start here. A topic that is too broad, too personal, or too thinly grounded in the literature cannot be rescued by better writing later. The committee's first question is always the same: what does this study add to what we already know? This studio trains you to answer that question before you write the proposal.

Module	Answers the question	Quantitative looks like…	Qualitative looks like…
From Interest to Inquiry	What, exactly, am I studying?	Narrow a broad construct to a measurable variable or relationship.	Name a bounded phenomenon, experience, or process to explore.
Mapping the Literature	What gap justifies this study?	Contradictory findings, untested moderators, under-tested designs.	Missing voice/perspective, under-described context, conceptual silence.
Testing the Topic	Is this topic feasible and significant?	Data access, instrument availability, sample size, effect-size plausibility.	Participant access, site permission, saturation feasibility, researcher stance.
Crafting the RQ	What question will the data answer?	Descriptive / relational / causal; named variables and groups.	Exploratory / process / meaning-making; central + sub-questions.
Aligning Method	What design can answer that question?	Correlational / quasi-experimental / experimental, with feasibility rule-out.	Case study / phenomenology / grounded theory, with tradition rule-out.
Topic Alignment Map	Does the whole chain hold together?	Topic → Gap → RQ → Design → Instrument → Test → Reporting.	Topic → Gap → RQ → Tradition → Data → Coding → Trustworthiness.

Module 1

From Interest to Inquiry

Turn a broad interest into a focused, researchable inquiry. Learn how to scope a topic, name the central construct, and move from 'I want to study…' to a question the literature can actually answer.

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Module 2

Mapping the Literature

Build a synthesis matrix from recent sources and let the gap emerge from the conversation. Distinguish real gaps — contradiction, under-tested design, missing mechanism — from local-site novelty.

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Module 3

Testing the Topic

Pressure-test your topic for feasibility, scope, significance, and originality. Toggle between quantitative and qualitative angles to see what makes a topic viable in each tradition.

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Module 4

Crafting the Research Question

Translate your focused topic into a specific, answerable research question. Match the RQ type to the tradition — descriptive/relational/causal for quant, exploratory/process for qual — and avoid leading or double-barreled phrasing.

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Module 5

Aligning Method to Question

Choose the methodology and specific design that can actually answer your RQ. Justify the choice against the question form and rule out the closest alternative with one concrete reason.

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Module 6

Building the Topic Alignment Map

Trace the full chain from topic → gap → research question → method → data → analysis. Catch the misalignment that sinks proposals before it reaches your committee.

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Module 7

The 4 Us of a Great Topic

Pressure-test any topic against Useful, Unique, Urgent, and Ultraspecific. Make sure the topic is focused enough to study but still scaffolded by the literature.

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Guided tool

Topic narrowing wizard

Six steps from a broad interest to a defensible topic: your interests, your program's required criteria, a three-source literature map, scored candidates, a 4 Us check, and a downloadable topic brief for your chair.

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Interactive practice

Diagnose the topic-selection flaw

Seven short excerpts from real topic-selection moments. Identify which move is broken — interest too broad, gap not grounded, topic not feasible, RQ unanswerable, or method misaligned — then pick the revision that actually fixes it.

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