This dataverse contains data generated by the Research for Scalable Solutions (R4S) project. R4S is a 5-year project funded by USAID led by FHI 360 and its partners, Evidence for Sustainable Human Development Systems in Africa (EVIHDAF), Makerere University School of Public Health (MakSPH), Population Services International (PSI) and Save the Children. The objective of R4S is to strengthen generation and utilization of evidence to increase access to voluntary family planning.
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161 to 170 of 229 Results
Apr 1, 2024
Raj, Aparna; Dixit, Anvita; Saha, Ananya; Shankar, Lalita; Howard, Susan; Battala, Madhusudana; Khan, Nizamuddin; Saggurti, Niranjan, 2024, "Go Nisha Go Randomized Controlled Trial (R4S study #1.11)", https://doi.org/10.7910/DVN/0TS1LX, Harvard Dataverse, V1, UNF:6:hoNbY3jVad2x1yxVowFamA== [fileUNF]
Serious games have been proven to be effective in health education, but little is known about their role in improving attitude, efficacy, and behavior. Funded by USAID, Go Nisha Go™, is a role-playing game that was designed to improve knowledge, attitude, efficacy, and behavior related to menstruation, contraception, consent, and marriage. To under...
Adobe PDF - 243.2 KB - MD5: 75a6449a6acd47a0a4bc3cb17091b350
informed consent
Informed consent form
Adobe PDF - 1.3 MB - MD5: 2a542441d2ae51a4518e82212106c555
data collection form
data collection form
Adobe PDF - 752.3 KB - MD5: 0914e278cb188919a0de555a1f06f950
codebook
quantitative data dictionary, codebook
Tabular Data - 18.1 MB - 974 Variables, 3760 Observations - UNF:6:hoNbY3jVad2x1yxVowFamA==
Data
Data, baseline and endline combined
Adobe PDF - 243.2 KB - MD5: 59c8343515a25f63cd550a374e2e8fb7
informed consent
Informed consent form
Adobe PDF - 2.4 MB - MD5: 4b36bee007a87ac5dcb34d80cdad285f
Documentation
data documentation/final report
Adobe PDF - 1.0 MB - MD5: 68cd3f1edf89d5a1c709420ce017f813
data collection form
data collection form
Adobe PDF - 257.8 KB - MD5: 3a75c16ef0411ea342aa5068e921a253
data collection form
data collection form
Adobe PDF - 152.2 KB - MD5: 5cab9169ccd4ebfd75f7a11e7d6e41e8
codebook
qualitative codebook
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