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Pre-Analysis Plan Peer Review Assessment

A structured instrument for expert reviewers to evaluate the clarity, completeness, and pre-specification quality of a pre-analysis plan or preregistration draft before data collection begins.

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Sample Survey Items

Q1
Chat Message
Welcome, and thank you for participating in this pre-analysis plan peer review. This survey asks for your expert feedback on the clarity, completeness, and pre-specification of a research plan. There are no right or wrong answers—we value your honest professional judgment. Your responses are confidential and will be reported only in aggregate to the research team. Participation is voluntary, and you may stop at any time. The survey takes approximately 15–20 minutes to complete. Please base your responses only on the materials provided today.
Q2
Multiple Choice
Which materials did you review for this assessment? Select all that apply.
  • Research question brief
  • Full PAP/preregistration draft
  • Hypotheses section
  • Outcome definitions
  • Analysis plan
  • Power analysis
  • Data dictionary / variable list
  • Inclusion/exclusion rules
  • Mock tables/figures
  • Other
Q3
Dropdown
What best describes the planned study design?
  • Randomized controlled trial
  • Quasi-experimental (e.g., DiD, IV, RD)
  • Observational cross-sectional
  • Longitudinal / panel study
  • Lab / online experiment
  • Qualitative or mixed methods
  • Other
Q4
Long Text
In your own words, summarize the research question in one or two sentences.
Max chars
Q5
Opinion Scale
Each hypothesis is clearly labeled (e.g., H1, H2) and easy to identify.
Range: 1 7
Min: Strongly disagreeMid: NeutralMax: Strongly agree
Q6
Opinion Scale
Each hypothesis specifies the expected direction of the effect.
Range: 1 7
Min: Strongly disagreeMid: NeutralMax: Strongly agree
Q7
Opinion Scale
Primary and secondary/exploratory hypotheses are clearly distinguished.
Range: 1 7
Min: Strongly disagreeMid: NeutralMax: Strongly agree
Q8
Opinion Scale
How well do the planned statistical tests align with the stated hypotheses?
Range: 1 7
Min: Very poor alignmentMid: NeutralMax: Excellent alignment
Q9
Long Text
Please note any hypotheses that seem ambiguous, double-barreled, or underspecified, and briefly explain why.
Max chars
Q10
Opinion Scale
The primary outcome is operationally defined (i.e., exact variable, measurement method, and timing are specified).
Range: 1 7
Min: Strongly disagreeMid: NeutralMax: Strongly agree
Q11
Opinion Scale
Measurement instruments or scales are described in sufficient detail to be replicated.
Range: 1 7
Min: Strongly disagreeMid: NeutralMax: Strongly agree
Q12
Opinion Scale
Secondary outcomes and any index/composite construction rules are clearly specified.
Range: 1 7
Min: Strongly disagreeMid: NeutralMax: Strongly agree
Q13
Multiple Choice
Which types of outcomes are planned? Select all that apply.
  • Behavioral / administrative
  • Survey scale or index
  • Physiological / biomarker
  • Derived composite/index
  • Binary event
  • Time-to-event
  • Other
Q14
Opinion Scale
The primary estimator or model is clearly specified (e.g., OLS, logistic regression, ANCOVA).
Range: 1 7
Min: Strongly disagreeMid: NeutralMax: Strongly agree
Q15
Opinion Scale
Key assumptions of the chosen model are stated and justified.
Range: 1 7
Min: Strongly disagreeMid: NeutralMax: Strongly agree
Q16
Opinion Scale
Robustness checks or sensitivity analyses are pre-specified.
Range: 1 7
Min: Strongly disagreeMid: NeutralMax: Strongly agree
Q17
Multiple Choice
Is the estimand (e.g., ATE, ITT, CACE) explicitly defined?
  • Yes, clearly defined
  • Partially defined
  • Not defined
  • Not applicable
Q18
Multiple Choice
Is a power analysis or sample size justification included?
  • Yes, with calculations and inputs
  • Yes, but minimal detail
  • No
  • Not applicable
Q19
Opinion Scale
Given the planned tests, how adequate is the statistical power justification?
Range: 1 7
Min: Wholly inadequateMid: NeutralMax: Fully adequate
Q20
Long Text
If applicable, note the minimum detectable effect (MDE), key inputs, or any concerns about the power justification.
Max chars
Q21
Ranking
Rank the following potential threats to interpretability for this study, from most to least concerning.
Drag to order (top = most important)
  1. Measurement error / instrument validity
  2. Confounding / selection bias
  3. Noncompliance / attrition
  4. Selective reporting / researcher degrees of freedom
  5. Model misspecification
  6. Multiplicity / p-hacking
Q22
Multiple Choice
Are there ethical considerations that may influence analysis choices? Select all that apply.
  • None noted
  • Privacy or data security risk
  • Potential harm to participants
  • Equity/fairness bias concerns
  • Data governance/consent constraints
  • Other
Q23
Multiple Choice
Which additions would most improve reproducibility before data collection? Select up to three.
  • Mock registry entry (final wording)
  • Code template or skeleton analysis script
  • Data schema / variable naming plan
  • Versioned package/dependency list
  • Defined file/folder structure with README
  • Plan for where materials will be shared
  • Other
Q24
Opinion Scale
Overall, how clear is the pre-analysis plan as currently written?
Range: 1 7
Min: Not at all clearMid: NeutralMax: Extremely clear
Q25
Multiple Choice
Based on your review, is this plan ready to proceed to data collection?
  • Yes, proceed as planned
  • Mostly ready; minor edits recommended
  • Hold; needs substantive revisions
  • Unsure
Q26
Long Text
What are your most actionable suggestions to improve the clarity, pre-specification, or reproducibility of this plan?
Max chars
Q27
AI Interview
Based on your responses, we'd like to explore your key recommendations in more depth. Please share your thoughts with our AI moderator.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 7
Q28
Dropdown
Approximately how long did you spend reviewing the materials today?
  • Less than 15 minutes
  • 15–30 minutes
  • 31–60 minutes
  • 1–2 hours
  • More than 2 hours
Q29
Dropdown
What is your primary role?
  • Academic researcher
  • Graduate student
  • Data scientist / analyst
  • Policy researcher / evaluator
  • Practitioner / NGO
  • Other
Q30
Dropdown
How many years of experience do you have with preregistrations or pre-analysis plans?
  • Less than 1 year
  • 1–3 years
  • 4–6 years
  • 7–10 years
  • More than 10 years
Q31
Dropdown
What is your primary field or domain?
  • Economics
  • Political science
  • Public health
  • Education
  • Psychology
  • Sociology
  • Computer science / data science
  • Other
Q32
Multiple Choice
Have you previously authored a preregistration or pre-analysis plan?
  • Yes
  • No
Q33
Dropdown
How familiar are you with this study's topic area?
  • Novice
  • Intermediate
  • Advanced
  • Expert
Q34
Chat Message
Thank you for your thoughtful review. Your feedback will be used to improve the clarity and pre-specification of this plan before data collection begins.

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