All datasets (.csv files in the folder /analyses/data/ and subfolders) are licensed under CC0 1.0 Universal. The license can be found here - https://creativecommons.org/publicdomain/zero/1.0/legalcode.
The manuscript and related materials (.tex and .pdf files in /paper/ and subfolders; .pdf, .Rmd, .tex, .odg in /analyses/ and subfolders; .md files in the root directory) are licensed under CC-BY 4.0 license (https://creativecommons.org/licenses/by/4.0/legalcode).
The rest of the materials is licensed under the GPLv3 license (https://www.gnu.org/licenses/gpl-3.0.txt).
Please cite the preprint as: Pavlić, M., Vlašiček, D., & Ivanec, D. (2019). The role of retrieval type and feedback in test-potentiated new learning. https://doi.org/10.31234/osf.io/gfwt4
Please cite the data as: Pavlić, M., Vlašiček, D., & Ivanec, D. (2019). The role of retrieval type and feedback in test-potentiated new learning [data file]. Zagreb: Croatian Data Archive. http://doi.org/10.23669/JVNVNR
October 2018
This repository contains Python scripts and ancillary files for running an
experiment designed for investigating the forward testing effect, as well as the
analyses scripts (R), and a manuscript (LaTex).
design.md contains short description of design, and has the write up of the
hypothses.
This folder contains the data (data/), data preparation (wrangling/) and
analyses scripts (stats/). images/ and helpers/ contain auxiliary files.
The analysis plan is written up in analysis-plan.md. It also contains power
curves for the study, with final sample size and predicted sample size after
exclusion cirteria are applied.
results.csv is the main data file.
for-bayes/ contains filtered datasets used in JASP. Same data as used in the
first and second MANOVA.
The informed consent forms files.
Files for compiling the article.
The oTree app. Too deep to explain further.
Miscellaneous scripts used for various randomizations.
The texts used in the study.