Replication Data for: Leveraging caregivers to provide remote early childhood education in hard-to-access settings in Lebanon: Impacts from a randomized controlled trial

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Replication Data for: Leveraging caregivers to provide remote early childhood education in hard-to-access settings in Lebanon: Impacts from a randomized controlled trial
Michael, Duja; Schwartz, Kate, 2024, "Replication Data for: Leveraging caregivers to provide remote early childhood education in hard-to-access settings in Lebanon: Impacts from a randomized controlled trial", https://doi.org/10.7910/DVN/E0ICC6, Harvard Dataverse, V1, UNF:6:RgpOD1JQrXKiAXweSXI4eQ== [fileUNF]
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Description
We present the analysis dataset, script, as well as the data collection forms from an evaluation of an 11-week, remote early learning program (RELP) delivered via WhatsApp calls and messages to families in areas of Lebanon with little or no access to ECE. The program was created in response to COVID-19 with a focus on Syrian refugee and vulnerable Lebanese families and tested in hard-to-access areas in order to capture impacts on those most likely to need remote ECE post-pandemic. It is shorter than typical school programming because in under-resourced, conflict-affected, and displaced settings it is not always possible to find the political will and resources, or to maintain families, for longer programming (see Bonilla et al., 2019). Thus, in seeking to provide ECE in such settings, it is critical that we understand the impact of programs that are shorter, cheaper, and potentially more scalable than full-year, in-person options. In this evaluation, we examine the impacts of both i) RELP alone and ii) RELP provided alongside a remote parenting support program (RPSP). Impacts presented are in comparison to a wait list control group who received RELP immediately following endline data collection. Analyses examine experimental impacts on child development, parenting, and caregiver well-being. The files provided include: 1) The analysis dataset titled "RELP_clean_deidentified". This dataset includes all outcome variables as well as covariates. Use "Models_dofile" to replicate the analyses. 2) The STATA .do file used to run the analyses, titled "Models_dofile" 3) The CAPI xls forms that were used to collect baseline and endline data for both the IDELA measure of child development as well as the caregiver surveys (baseline and endline) 4) The STATA .do file used to clean the data, run psychometrics and obtain outcome scores, and run the multiple imputation. This file is called "RELP_raw_to_analytic" and it is meant to provide transparency around data transformations that took place starting with the raw data and ending with the analysis dataset "RELP_clean_deidentified". 5) A pdf copy of the published pre-registration document. The study and analysis plan were pre-registered in REES (ID:13920). (2024-03-30)
Subject Social Sciences
Keyword Early Childhood Education, Remote ECE, Refugee populations, Remote IDELA, partially-nested models
Related Publication TIES for Children, Global (2023). Lessons and Impacts of a Remote Early Childhood Education Program in Hard-To-Access Settings in Lebanon: A Randomized Controlled Trial. figshare. Preprint. https://doi.org/10.6084/m9.figshare.22770629.v1https://doi.org/10.6084/m9.figshare.22770629.v1
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CAPI_caregiver_baseline.xlsx
MS Excel Spreadsheet - 64.6 KB
Published Mar 19, 2024
14 Downloads
MD5: 06bfb50f0dc2e53987a83375667aa366
xls form for baseline caregiver survey data collection
CAPI_caregiver_endline.xlsx
MS Excel Spreadsheet - 62.9 KB
Published Mar 19, 2024
11 Downloads
MD5: d7aaeb89090b8c6343c616a0fb196082
xls form for endline caregiver survey data collection
CAPI_IDELA_clean.xlsx
MS Excel Spreadsheet - 37.3 KB
Published Mar 19, 2024
13 Downloads
MD5: 887b9d7ed1c522e11092a3db721834c4
xls form for IDELA data collection
Models_dofile.do
Stata Syntax - 10.8 KB
Published Mar 19, 2024
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MD5: 071348151d6f9477de5bc8858050c266
stata .do file running quantitative analyses (RQ3-RQ6)
Preview "Models_dofile.do"
Pre-registration_ELP.pdf
Pre-registration_ELP.pdf
Adobe PDF - 23.5 KB
Published Mar 19, 2024
9 Downloads
MD5: a5633311e8b3a619c7a49933a94c8835
REES preregistration
Preview "Pre-registration_ELP.pdf"
RELP_clean_deidentified.tab
Tabular Data - 77.5 MB
Published Mar 19, 2024
19 Downloads
12080 Variables, 1606 Observations UNF:6:RgpOD1JQrXKiAXweSXI4eQ==
.dta dataset for running the models
Preview "RELP_clean_deidentified.tab" Preview "RELP_clean_deidentified.tab"
RELP_raw_to_analytic.do
Stata Syntax - 64.8 KB
Published Mar 19, 2024
9 Downloads
MD5: 35fad28d22f4e1e2a13943d22a2c022f
STATA .do file that takes in raw data, performs cleaning and psychometric analysis, and multiple imputation. Output from running this do file is the uploaded analytic dataset "RELP_clean_deidentified"
Preview "RELP_raw_to_analytic.do"
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