Theory & Hypotheses (poq-theory-and-hypotheses)
At POQ a result is not a contribution until it is attached to a clear claim — about how opinion
forms or moves, how communication shapes it, or how a survey-design choice affects measurement. This
skill turns findings into theory: explicit constructs, mechanisms, and falsifiable hypotheses, in
the idiom appropriate to a substantive or a methodological paper.
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 constructs, mechanisms, and hypotheses explicitly
- A methods paper needs a precise claim about which survey-error source it addresses
Build the argument (by kind of paper)
Substantive opinion / communication paper
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Concept — define the attitude, behavior, or communication construct precisely; distinguish it
from neighbors (attitude vs. non-attitude, opinion vs. knowledge, exposure vs. reception).
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Mechanism — the process: how information, identity, framing, or context moves the opinion.
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Hypotheses — directional, falsifiable predictions tied to the mechanism, with the null that
a rival account or measurement artifact would imply.
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Scope conditions — population, period, and context where the claim holds.
Survey-methodology paper
- State the survey-error source at issue (coverage, nonresponse, measurement, mode, weighting) and
the specific bias or variance claim you make about it.
- Frame the hypothesis in Total Survey Error terms: which error component changes, in which
direction, under which design choice.
- Distinguish predictions unique to your account from those a competing methods explanation shares.
The measurement-validity test (POQ-specific)
For the central construct, write one sentence: "My measure captures ___ and not ___; if it were
instead picking up a measurement artifact (wording / order / mode / nonresponse), I would see ___."
If you cannot, the construct is not yet pinned down — strengthen measurement before hypothesizing.
Anti-patterns
- "Hypothesizing after results are known" (HARKing) — state hypotheses before tests; preregister where possible
- Treating a survey artifact (wording, order, mode) as if it were a substantive opinion effect
- Mechanisms named but never made observable / testable
- Universal claims with no scope conditions or population
- A methods paper with no explicit claim about which error source it improves
Theory pass for Public Opinion Quarterly
Run this as a concrete capability pass. First lock the public-opinion construct, sampling frame, mode effects, weighting/nonresponse plan, and trend or causal interpretation; then test whether the manuscript addresses survey and public-opinion reviewers who inspect measurement, sampling, mode, nonresponse, and inference about attitudes or behavior.
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Primary move: Link every hypothesis to a mechanism, rival account, boundary condition, and observable implication; drop hypotheses that only restate correlations.
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Decision ledger: return
claim / evidence / blocker / next edit rows so the next pass can patch the manuscript directly.
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Sibling comparison: compare against Political Analysis for methods-first work, Journal of Politics for political-science theory, Communication Research for media-effects framing; if the neighboring outlet has the stronger audience claim, recommend re-routing before polishing.
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Verification floor: before submission-ready advice, re-open
resources/official-source-map.md for volatile rules and name the one unresolved fact that could change the recommendation.
Output format
【Kind】substantive-opinion / survey-methodology
【Core claim】one sentence
【Construct(s)】defined + distinguished from neighbors
【Mechanism / error source】the process or the TSE component at issue
【Hypotheses】directional + the null / artifact alternative
【Scope conditions】population / period / context
【Next】poq-survey-design-and-measurement
Supplementary resources
