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title: >-
  Towards Transparency and Open Science: A Principled
  Perspective on Computational Reproducibility and
  Preregistration
type: thesis
authors:
  - given-names: Aaron
    family-names: Peikert
    email: peikert@mpib-berlin.mpg.de
    affiliation: Max Planck Institute for Human Development
    orcid: 'https://orcid.org/0000-0001-7813-818X'
identifiers:
  - type: doi
    value: 10.5281/zenodo.7654989
    description: Zenodo
repository-code: 'https://github.com/aaronpeikert/thesis'
url: 'https://aaronpeikert.github.io/thesis/manuscript.pdf'
abstract: >-
  Psychology and other empirical sciences are in the middle
  of a crisis, as many researchers have become aware that
  many findings do not have as much empirical support as
  they once believed. Several causes of this crisis have
  been suggested: misuse of statistical methods,
  sociological biases, and weak theories. This dissertation
  proposes the following rationale: to some extent,
  imprecise theories are unavoidable, but they still can be
  subjected to an empirical test by employing induction.
  Data may be used to amend theories, allowing precise
  predictions that can be compared to reality. However, such
  a strategy comes at a cost. While induction is necessary,
  it causes overconfidence in empirical findings. When
  assessing findings, this overconfidence must be taken into
  account. The extent of the overconfidence depends on the
  properties of the inductive process. Some inductive
  processes can be made fully transparent, so their bias can
  be accounted for appropriately. I show that this is the
  case for induction that can be repeated at will on other
  data, highlighting the importance of computational
  reproducibility. Induction involving the researcher and
  their cognitive model can not be repeated; hence, the
  extent of overconfidence must be judged with uncertainty.
  I propose that reducing this uncertainty should be the
  objective of preregistration. Having explicated the goals
  of computational reproducibility and preregistration from
  a perspective of transparency about induction in the
  synopsis, I put forward recommendations for the practice
  of both in the articles published as part of this
  dissertation.
keywords:
  - open science
  - computational reproducibility
  - preregistration
  - exploration
  - confirmation
  - induction
  - deduction
  - psychology
  - replication crisis
license: CC0-1.0
version: v1.0
date-released: '2023-02-23'
references:
  - type: article
    title: >-
      A Reproducible Data Analysis Workflow With R Markdown, Git, Make, and Docker
    doi: 10.5964/qcmb.3763
    authors:
    - given-names: Aaron
      family-names: Peikert
      email: peikert@mpib-berlin.mpg.de
      name-particle: Aaron
      orcid: 'https://orcid.org/0000-0001-7813-818X'
    - given-names: Andreas M.
      family-names: Brandmaier
      orcid: 'https://orcid.org/0000-0001-8765-6982'
  - type: article
    title: >-
      Reproducible Research in R: A Tutorial on How to Do the Same Thing More Than Once
    doi: 10.3390/psych3040053
    authors:
    - given-names: Aaron
      family-names: Peikert
      email: peikert@mpib-berlin.mpg.de
      name-particle: Aaron
      affiliation: Max Planck Institute for Human Development
      orcid: 'https://orcid.org/0000-0001-7813-818X'
    - given-names: Caspar
      name-particle: van
      family-names: Lissa
      orcid: 'https://orcid.org/0000-0002-0808-5024'
    - given-names: Andreas M.
      family-names: Brandmaier
      orcid: 'https://orcid.org/0000-0001-8765-6982'
  - type: article
    title: >-
      Why does preregistration increase the persuasiveness of evidence? A Bayesian rationalization
    doi: 10.31234/osf.io/cs8wb
    authors:
    - given-names: Aaron
      family-names: Peikert
      email: peikert@mpib-berlin.mpg.de
      name-particle: Aaron
      affiliation: Max Planck Institute for Human Development
      orcid: 'https://orcid.org/0000-0001-7813-818X'
    - given-names: Caspar
      name-particle: van
      family-names: Lissa
      orcid: 'https://orcid.org/0000-0002-0808-5024'
    - given-names: Andreas M.
      family-names: Brandmaier
      orcid: 'https://orcid.org/0000-0001-8765-6982'