Here you can find the data and code. We also provide information for readers interested in reproducibility (see below for instructions). # Full list of contents: All of these files are in OSF Storage ## Files created for the present project ### Data - effects.csv: Table containing a summary of the effects for each day (means, SD, t) and correlation across days - pairs.csv: Data sheet containing paired observations for each child (i.e., data for day and for day 2 on the same row) - participants.csv: Data sheet containing participant information at the study level (i.e., one row per study): N of participants, as well as mean and SD of age. - PQs.csv: Data sheet containing preference results at the study level (i.e., one row per study): N of participants, mean (mean) and SD (SD) for the preference quotients on day 1 (pq1) and day 2 (pq2), r across days, type of experiment (h=habituation, f=familiarization), as well as standard error (SE) and cohen's d for each day (1 and 2). - heterogeneous-studies.csv: synthetic *heterogeneous* data created for Experiment 2 (note: this is not needed for reproducibility because the Rmd of the paper recreates it) - homogeneous-studies.csv: synthetic *homogeneous* data created for Experiment 2 (note: this is not needed for reproducibility because the Rmd of the paper recreates it) ### Other files - ms10k-sub2.pdf: Preprint version of the paper - ms10k-sub2.Rmd: File that can be used to regenerate the main manuscript. Ignore unless interested in reproducing the analyses, in which case please look for the "Information for reproducing analyses" section below. - ms10k-sub2-sessioninfo.txt: Information about the packages versions and context in which the ms10k-sub2.pdf was produced. Ignore unless interested in reproducing the analyses, in which case please look for the "Information for reproducing analyses" section below. - mybib.bib: Contains the latex bibliography needed to reproduce the main paper and supplementary materials. Ignore unless interested in reproducing the analyses, in which case please look for the "Information for reproducing analyses" section below. - SM.pdf: Supplementary materials analyses - SM.Rmd: File that can be used to regenerate the supplementary materials analyses pdf file. Ignore unless interested in reproducing the analyses, in which case please look for the "Information for reproducing analyses" section below. - SM-sessioninfo.txt: Information about the packages versions and context in which the SM.pdf was produced. Ignore unless interested in reproducing the analyses, in which case please look for the "Information for reproducing analyses" section below. ## Copies of files from https://osf.io/gen2f/ This is the raw data for the present study. Needed if you want to restart from scratch, or if reproducing the manuscript with RECALC=TRUE - RISP/_merged_discri.txt: **copy** of the homonymous file on https://osf.io/gen2f, contains data from all habituation (h-) experiments, from all labs. If reusing this file, please cite https://osf.io/gen2f/ instead - RISP/_merged_other.txt: **copy** of the homonymous file on https://osf.io/gen2f, contains data from all familiarization (f-) experiments, from all labs. If reusing this file, please cite https://osf.io/gen2f/ instead - RISP_pairsH07.txt: **copy** of the homonymous file on https://osf.io/gen2f, contains data from the study published by Houston and colleagues. If reusing this file, please cite https://osf.io/gen2f/ instead # Information for reproducing analyses: Some readers may want to check our materials for reproducibility. To regenerate the reports above, you will need RStudio. For further information on using Rmd for transparent (knittable) analyses, see [Mike Frank & Chris Hartgerink's tutorial][1]. For an introduction to R and Rstudio, see this [Software Carpentry tutorial][2]. IMPORTANT: You will need the papaja package, which should be installed following instructions [here][3]. 1. Go to https://osf.io/mk3hx/files/ 2. Click on "OSF storage" 3. You should see a button appear below that reads "Download as zip". Click it. 4. Unarchive the downloaded zip. 5. Double click on the .Rmd file to launch RStudio with the correct working directory (or if RStudio is already running, change working directory into the folder containing Rmd and the other files). 6. Click on the "knit" button near the top of the RStudio window. If anything fails, the most likely issue will be that you are missing a library. This is easily fixed: In the commands section (near the bottom of the RStudio window), type install.package("LIBRARYNAME"). Please make sure to install the packages with the versions in the sessioninfo files for maximum reproducibility. [1]: https://libscie.github.io/rmarkdown-workshop/handout.html [2]: https://swcarpentry.github.io/r-novice-gapminder/01-rstudio-intro/index.html [3]: https://github.com/crsh/papaja