Data and analysis for the paper "The Effects of Partial Sleep Deprivation on Mind Wandering, Executive Performance and Affect".
Not yet published.
Preprint is available at PsyArXiv.
If you want to use this data/analysis in a research publication, please cite the paper (above).
@misc{aasen2025mwpsd,
author = {Aasen, S. and Babiker, S. and Vangen, A. and Haugan, S. and Sandell, S. and Csifcsák, G. and Saksvik-Lehouillier, I. and Kam, J. and Mittner, M.},
title = {The Effects of Partial Sleep Deprivation on Mind Wandering, Executive Performance and Affect},
year = {2025},
publisher = {OSF},
url = {https://osf.io/kmqfz_v1},
note = {Retrieved 23 July 2025}
}
Analysis are coded in R. The scripts rely on a fair number of R-packages, in addition to Stan for the Bayesian analyses.
This repository uses the ProjectTemplate directory layout and functions.
The manuscript (and Supplementary) can easily be generated by rendering the
00_manuscript.qmd (and 01_supplementary.qmd) under the reports/ folder.
The script will automatically load all the data, preprocess them and generate
the necessary figures and tables.
All data used for the paper is available under data. Raw behavioural data (the
Finger-Tapping Random Sequence Generation Task, FT-RSGT) is available
under data/behaviour. Actigraphy sleep estimated data is available
under data/actigraphy, and self-reported sleep data as well as
baseline questionnaire is available under data/baseline+diary. Bayesian models
and the raw adjusted sleep variables can be found under the data/ folder (as
"Mod-Bayes" or "bayes_model" and "sleep_adjustment").
The project contains a fully preprocessed pipeline. First, load the library
(library(ProjectTemplate)) and then set the variable relative_path="" and
then run the load.project(). This will not only munge the raw data to a finished
preprocessed output (see example below), load the relevant packages and
other local packages, but also create all figure and tables used in the
manuscript (accessible via figs and tbls).
Sleep variables can be accessed as sleep* (e.g., sleeptimes_updated_trans).
# A tibble: 524 × 21
subj date entered_bed entered_bed_cum tried_to_sleep tried_to_sleep_cum sleep_delay night_wake_ups
<chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 001 2021-02-27 NA NA NA NA 0 NA
2 001 2021-02-28 NA NA NA NA 0 NA
3 001 2021-03-01 NA NA NA NA 0 NA
4 001 2021-03-02 21.5 21.5 21.7 21.7 0.25 3
5 001 2021-03-03 21 21 21.0 21.0 0.25 2
6 001 2021-03-04 21 21 21.1 21.1 0.0833 1
7 001 2021-03-05 21 21 21.7 21.7 0.417 0
8 001 2021-03-06 0.5 24.5 0.667 24.7 0.167 0
9 001 2021-03-07 1.17 25.2 1.17 25.2 0.05 4
10 001 2021-03-08 23 23 0.5 24.5 0.0333 1
# ℹ 514 more rows
# ℹ 13 more variables: night_wake_up_time <dbl>, last_awaking <dbl>, rise_from_bed <dbl>, sleep_quality <dbl>,
# sleep_time <dbl>, sleep_time_cum <dbl>, diff_awake_bed <dbl>, last_awaking_fix <dbl>, sleep_duration <dbl>,
# notes <chr>, group <chr>, pre_control <dbl>, pre_sleepdep <dbl>
# ℹ Use `print(n = ...)` to see more rows
Behavioural data can be found under data* (e.g., data.probe.mood.sleep).
# A tibble: 1,700 × 37
subj session sleepdep probenum probenum_prop mw mb smw apen bv logapen logbv zlogapen zlogbv group
<chr> <chr> <chr> <dbl> <dbl> <ord> <ord> <ord> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>
1 001 S1 SD 1 0.04 2 3 2 0.584 0.0763 2.22 -2.57 0.153 -0.102 ESD
2 001 S1 SD 2 0.08 2 3 1 0.298 0.0501 0.930 -2.99 -1.12 -0.831 ESD
3 001 S1 SD 3 0.12 3 4 3 0.282 0.0648 0.890 -2.74 -1.16 -0.384 ESD
4 001 S1 SD 4 0.16 3 4 3 0.145 0.0646 0.600 -2.74 -1.44 -0.390 ESD
5 001 S1 SD 5 0.2 3 4 3 0.282 0.0528 0.889 -2.94 -1.16 -0.740 ESD
6 001 S1 SD 6 0.24 4 4 3 0.295 0.0766 0.920 -2.57 -1.13 -0.0945 ESD
7 001 S1 SD 7 0.28 3 4 3 0.187 0.0830 0.681 -2.49 -1.36 0.0444 ESD
8 001 S1 SD 8 0.32 3 2 4 0.130 0.0690 0.574 -2.67 -1.47 -0.276 ESD
9 001 S1 SD 9 0.36 4 3 4 0.420 0.112 1.30 -2.19 -0.753 0.560 ESD
10 001 S1 SD 10 0.4 4 2 4 0.583 0.0767 2.20 -2.57 0.140 -0.0919 ESD
# ℹ 1,690 more rows
# ℹ 22 more variables: post_neg <dbl>, post_pos <dbl>, pre_neg <dbl>, pre_pos <dbl>, Self.report_Wake <dbl>,
# Self.report_Onset <dbl>, Self.report_Duration <dbl>, Actigraphy_Wake <dbl>, Actigraphy_Onset <dbl>,
# Actigraphy_Duration <dbl>, Adjusted_Onset <dbl>, Adjusted_Wake <dbl>, Adjusted_Duration <dbl>,
# Self.report_Duration.diff <dbl>, Actigraphy_Duration.diff <dbl>, Adjusted_Duration.diff <dbl>,
# Self.report_Duration.diff.pos <dbl>, Actigraphy_Duration.diff.pos <dbl>, Adjusted_Duration.diff.pos <dbl>,
# c.Self.report_Duration.diff.pos <dbl>, c.Actigraphy_Duration.diff.pos <dbl>, …
# ℹ Use `print(n = ...)` to see more rows
Some data exploration and other testing can be found under the src/ folder.