Theory & Argument Building (apsr-theory-building)

At APSR a result is not a contribution until it is attached to an argument the discipline can use elsewhere. This skill turns findings into theory: explicit mechanisms, scope conditions, and observable implications, in the idiom appropriate to your kind of work.

When to trigger

• The empirics are strong but the "so what / why" is thin
• A reviewer said the paper is "atheoretical," "ad hoc," or "just a finding"
• You need to state mechanisms, assumptions, and scope conditions explicitly
• Formal modeling: deciding what to model, what to assume, and what the model buys you

Build the argument (by mode of work)

Empirical paper with a theory

1. Concept — define the key constructs precisely; distinguish from neighbors.
2. Mechanism — the causal story: who does what, why, under what incentives/constraints.
3. Observable implications — what we should see if the mechanism operates (and what we should

not see). These become the tests in apsr-research-design.

1. Scope conditions — where the argument holds and where it does not. Portability ≠ universality.

Formal / game-theoretic paper

• State the substantive puzzle the model addresses before the setup.
• Keep assumptions transparent and motivated; flag which results are robust to which assumptions.
• Translate equilibrium predictions into comparative statics a reader can test or recognize.
• Say what the model buys: a non-obvious prediction, a resolution of a puzzle, a unifying logic.

Interpretive / normative paper

• Make the conceptual or normative stakes explicit and connect them to political life.
• Build the argument through reasons and texts, not hypotheses; engage the strongest counter-view.
• Show what the argument lets the field see or justify that it could not before.

The "portability" test (APSR-specific)

Ask: Could a scholar in another subfield import this mechanism/concept to their own problem? If yes, you have a discipline-level contribution. If the argument only works for your exact case, tighten it into a general logic or reframe (back to apsr-topic-selection).

The contribution paragraph, anatomized

APSR papers earn the flagship slot with one of a few recognizable contribution shapes. Decide which yours is and say so in the paragraph that closes the introduction:

1. A new concept — a distinction the field lacked, defined against its nearest neighbors, with

criteria for recognizing instances. The test: can two coders apply it to new cases and agree?

1. A new mechanism — a causal pathway that existing accounts skip, with the actors, incentives,

and observable traces spelled out.

1. A unification — two literatures that talk past each other shown to be special cases of one

logic. Name both literatures and state what the shared logic predicts that neither did alone.

1. A revision — received wisdom shown wrong or bounded. State the received claim fairly, the

condition under which it fails, and what replaces it there.

Before → after: from finding to argument

• Before: "We find that decentralization reduces clientelism in our sample."

After: "Decentralization reduces clientelism only where local media can price broker services — a scope condition that explains why prior studies split, and that any theory tying institutional reform to accountability must now carry."

Decoding the "atheoretical" referee report

When an APSR reviewer writes "atheoretical," "ad hoc," or "under-theorized," it usually means one of three repairable gaps — diagnose before rewriting everything:

• Mechanism gap — the paper shows that, never why. Repair: add the actor-level story and one

test that would fail if the story were wrong.

• Stakes gap — the theory exists but stays inside the case. Repair: run the portability test

above and rewrite the contribution paragraph around who else can use the logic.

• Derivation gap — hypotheses appear from nowhere. Repair: show each hypothesis falling out of

the mechanism, and flag any that are exploratory rather than derived (preregistration makes this distinction legible — see apsr-transparency-and-data-policy).

Anti-patterns

• "Hypothesizing after results are known" (HARKing) — state theory before tests; preregister where possible
• A model with opaque assumptions chosen to produce the desired result
• Mechanisms named but never made observable
• Universal claims with no scope conditions
• Burying the argument under the empirics — the contribution paragraph must state it plainly

Output format

【Core claim】one sentence
【Mechanism】the causal/logical story
【Assumptions】(formal) the load-bearing ones
【Observable implications】testable consequences → research-design
【Scope conditions】where it holds / fails
【Portability】who else can use this argument
【Next】apsr-research-design

Supplementary resources

• ../../resources/external_tools.md — formal-modeling and analysis tooling
• ../../resources/official-source-map.md — APSR scope and contribution expectations