About

Author, origin, and licensing

Author

George Michaelides is the author of these materials. They were originally developed for the EAOHP 2026 conference workshop Dyadic Data Analysis Using R, and have been reissued in this form for a wider audience. The simulation data structures emulate the work of Hahn, Binnewies, & Dormann (2014).

Origin

These materials began as a half-day workshop delivered at the European Academy of Occupational Health Psychology (EAOHP) 2026 conference. The workshop paired eight R scripts (one per analytic approach) with a 32-slide deck and a nine-section exercise set. The present site is the workshop’s self-contained reissue: it is designed to be usable on its own, with no reference to the original workshop, and no assumption that the reader attended.

Licensing

All written material on this site is released under CC BY 4.0. You are free to share and adapt the material for any purpose, including commercially, as long as you give appropriate credit. The R code (scripts in scripts/ and exercises/) is released under the MIT License.

How to cite

If you use these materials in your teaching or research, please cite the site as:

Michaelides, G. (2026). Dyadic Data Analysis in R. Online at https://michaelides.github.io/apim/. CC BY 4.0.

Pages

Installing R and the required packages

Step-by-step instructions for getting set up on Windows, macOS, and Linux.

Citing this site

The recommended citation, plus citation formats for the underlying methods papers.

---
title: "About"
subtitle: "Author, origin, and licensing"
---

## Author

**George Michaelides** is the author of these materials. They were
originally developed for the EAOHP 2026 conference workshop *Dyadic
Data Analysis Using R*, and have been reissued in this form for a
wider audience. The simulation data structures emulate the work of
Hahn, Binnewies, & Dormann (2014).

## Origin

These materials began as a half-day workshop delivered at the
European Academy of Occupational Health Psychology (EAOHP) 2026
conference. The workshop paired eight R scripts (one per analytic
approach) with a 32-slide deck and a nine-section exercise set. The
present site is the workshop's self-contained reissue: it is
designed to be usable on its own, with no reference to the original
workshop, and no assumption that the reader attended.

## Licensing

All written material on this site is released under [CC BY
4.0](https://creativecommons.org/licenses/by/4.0/). You are free to
share and adapt the material for any purpose, including
commercially, as long as you give appropriate credit. The R code
(scripts in [`scripts/`](https://github.com/michaelides/apim/blob/master/scripts)
and [`exercises/`](https://github.com/michaelides/apim/blob/master/exercises))
is released under the [MIT
License](https://github.com/michaelides/apim/blob/master/LICENSE).

## How to cite

If you use these materials in your teaching or research, please cite
the site as:

> Michaelides, G. (2026). *Dyadic Data Analysis in R.* Online at
> <https://michaelides.github.io/apim/>. CC BY 4.0.

## Pages

::: {.card-grid}

::: {.card}
### [Installing R and the required packages]{.card-title-link}

Step-by-step instructions for getting set up on Windows, macOS,
and Linux.

[Open →](install.html)
:::

::: {.card}
### [Citing this site]{.card-title-link}

The recommended citation, plus citation formats for the underlying
methods papers.

[Open →](how-to-cite.html)
:::

:::