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pre-registration

创建预注册文件以提高研究透明度。使用时机:(1) 数据收集前,(2) 申请资助时,(3) 确保可重复性,(4) 符合开放科学标准,(5) 防止HARKing。

person作者: jakexiaohubgithub

Pre-Registration Skill

Purpose

Document study plans before data collection to ensure transparency and prevent questionable research practices.

Pre-Registration Components

1. Study Information

  • Title, authors, institutions
  • Funding sources

2. Hypotheses

  • Primary hypothesis (pre-specified)
  • Secondary hypotheses
  • Exploratory questions

3. Design

  • Study type (observational, experimental)
  • Blinding (who, how)
  • Randomization details

4. Sampling

  • Sample size (with power analysis)
  • Recruitment strategy
  • Inclusion/exclusion criteria
  • Stopping rules

5. Variables

  • Independent variables (manipulation)
  • Dependent variables (outcomes)
  • Control variables
  • Measurement instruments

6. Analysis Plan

  • Primary statistical test
  • Handling missing data
  • Outlier treatment
  • Multiple comparison corrections

7. Timeline

  • Start date
  • Data collection period
  • Analysis completion

Platforms

  • OSF (Open Science Framework): osf.io
  • AsPredicted: aspredicted.org
  • ClinicalTrials.gov: For clinical trials

Version: 1.0.0