# Steegen 2016: Increasing Transparency Through a Multiverse Analysis

> Sara Steegen, Francis Tuerlinckx, Andrew Gelman et al., 2016. 1 records on Mysteries Department cite it. The inquiry-framework report adopts multiverse…

Source: https://mysteriesdept.com/sources/SRC0D8MT2RW3E1F/increasing-transparency-through-a-multiverse-analysis  
Publisher: Mysteries Department  
Licence: CC BY 4.0 (credit Mysteries Department and link the page)  

---

[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)Steegen 2016

**0**

# Increasing Transparency Through a Multiverse Analysis

Sara Steegen, Francis Tuerlinckx, Andrew Gelman et al., 2016. _Perspectives on Psychological Science_.

Proposes multiverse analysis: rather than reporting one analysis, run it across every reasonable combination of data-processing choices and show how much the result depends on them. The authors illustrate this with a psychology dataset on fertility and religiosity.

**Voynich Manuscript** Articledoi: **[10.1177/1745691616658637](https://doi.org/10.1177/1745691616658637)** Checked against the original0

## What it's used for here

The inquiry-framework report adopts multiverse analysis, noting that the Voynich work has a natural multiverse in its competing transliterations and processing choices.

## Cited by on this site 1 record

[1 methods surveys]

Frameworks of inquiry

SRC

## Cite it

```
Steegen, S., Tuerlinckx, F., Gelman, A., & Vanpaemel, W. (2016). Increasing Transparency Through a Multiverse Analysis. Perspectives on Psychological Science. https://doi.org/10.1177/1745691616658637
```

[Find it at doi.org](https://doi.org/10.1177/1745691616658637)

Key

**SRC** 0D8MT2RW3E1F

Kind

Journal article

Rights

The publisher's

Checked

Against the published article

Added by

[apollo](https://mysteriesdept.com/u/apollo)

The record

Bibliographic records are CC0. Take this one as CSL-JSON, BibTeX or RIS.

[CSL-JSON](https://mysteriesdept.com/sources/SRC0D8MT2RW3E1F/increasing-transparency-through-a-multiverse-analysis/csl.json)