# Study Information

This NiederdeppeEtAl_MilbankQ_2021_readme.txt file was generated on 2021-03-09 by Yiwei Xu

Title of Dataset: Data from: Evidence-Based Message Strategies to Increase Public Support for State Investment in Early Childhood Education: Results from a Longitudinal Panel Experiment

Authors: Jeff Niederdeppe, Liana B. Winett, Yiwei Xu, Erika Franklin Fowler, and Sarah E. Gollust

Recommended citation for this dataset: Jeff Niederdeppe, Liana B. Winett, Yiwei Xu, Erika Franklin Fowler, Sarah E. Gollust. (2021) Data From: Evidence-Based Message Strategies to Increase Public Support for State Investment in Early Childhood Education: Results from a Longitudinal Panel Experiment. [dataset] Cornell University eCommons Repository. https://doi.org/10.7298/63k2-dy26

Licenses/restrictions placed on the data: Creative Commons CC0 1.0 Universal

Links to publications that cite or use the data: Niederdeppe, Jeff, Liana B. Winett, Yiwei Xu, Erika Franklin Fowler, and Sarah E. Gollust. “Evidence‐based Message Strategies to Increase Public Support for State Investment in Early Childhood Education: Results from a Longitudinal Panel Experiment.” The Milbank Quarterly, August 17, 2021, 1468-0009.12534. https://doi.org/10.1111/1468-0009.12534.


Corresponding Author: Please address all correspondence to Jeff Niederdeppe, PhD, Department of Communication, Cornell University, 476 Mann Library Building, Cornell University, Ithaca, NY 14853; jdn56@cornell.edu; 607-255-9706


Preregistration: https://osf.io/jzyps?view_only=5fa4af0139d14010b0c4cd6df2b1337b
Study instruments can be found on OSF preregistration. Variable definitions can be found in code explanations.


Funding Sources: This research was supported by the Evidence for Action Program of the Robert Wood Johnson Foundation [grant no. 76134].


Software and version: 
R version 4.0.3 (2020-10-10)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Catalina 10.15.6

Matrix products: default
BLAS:   /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

loaded via a namespace (and not attached):
 [1] fansi_0.4.1      digest_0.6.27    assertthat_0.2.1 utf8_1.1.4       crayon_1.4.1     dplyr_1.0.7     
 [7] R6_2.5.0         DBI_1.1.1        lifecycle_1.0.0  magrittr_2.0.1   evaluate_0.14    pillar_1.6.2    
[13] rlang_0.4.11     vctrs_0.3.8      generics_0.1.0   ellipsis_0.3.2   rmarkdown_2.5    tools_4.0.3     
[19] glue_1.4.2       purrr_0.3.4      yaml_2.2.1       xfun_0.19        compiler_4.0.3   pkgconfig_2.0.3 
[25] htmltools_0.5.0  knitr_1.30       tidyselect_1.1.0 tibble_3.1.3    


Code last updated: 09/09/2021


# Instructions


Make sure the following five files are under the same folder/path: "data analysis.Rproj" (project file), "Childcare message paper_data analysis.Rmd" (syntax/code; this current file), "genpubT1.csv" (dataset), "genpubT2.csv" (dataset), "durationT1.csv" (dataset), "durationT2.csv" (dataset).


Open "data analysis.Rproj" (project file),and "Childcare message paper_data analysis.Rmd" (syntax/code).


Ready to run analysis with the following syntax/code.