30,901 to 30,910 of 30,938 Results
Oct 29, 2023 -
Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?
HTML - 28.7 KB -
MD5: 32c8eec1341665c007d84392a11b51f3
This file is part of "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?". Materials are easiest to read after downloading by using [Access Dataset > Original Format ZIP]. |
Oct 29, 2023 -
Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?
HTML - 561.9 KB -
MD5: 5ecb900d9eae8cc8473f0877442395a0
This file is part of "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?". Materials are easiest to read after downloading by using [Access Dataset > Original Format ZIP]. |
Oct 29, 2023 -
Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?
HTML - 193.9 KB -
MD5: dd210e6edcc8c406a3665c477fb91c8b
This file is part of "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?". Materials are easiest to read after downloading by using [Access Dataset > Original Format ZIP]. |
Oct 29, 2023 -
Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?
HTML - 273.4 KB -
MD5: 50f4250f22ae04a5a0ce45fbdddb70b5
This file is part of "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?". Materials are easiest to read after downloading by using [Access Dataset > Original Format ZIP]. |
Oct 29, 2023 -
Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?
Adobe PDF - 489.1 KB -
MD5: a6d2546e34893fac7bb9f0ade5806b4e
This file is part of "Calling for Health: Can Mobile Phones Improve Awareness and Takeup of Maternity Benefits?". Materials are easiest to read after downloading by using [Access Dataset > Original Format ZIP]. |
Oct 29, 2023 -
Increasing Women’s Engagement with Mobile Technology
Adobe PDF - 65.5 KB -
MD5: f1b9337af8f3269f528915cac3de9f2b
The user guide provides a brief background of the project and outlines some useful information about the dataset. |
Oct 29, 2023 -
Increasing Women’s Engagement with Mobile Technology
Adobe PDF - 670.9 KB -
MD5: b918ce8018c0933469f609b63e93de7f
This is the follow-up survey instrument for female respondents. The survey instrument outlines the variable names, survey questions and responses. |
Oct 29, 2023 -
Increasing Women’s Engagement with Mobile Technology
Adobe PDF - 655.8 KB -
MD5: 629d60fcbd70922ed8f8f1e2dcd7018a
This is the follow-up survey instrument for male respondents. The survey instrument outlines the variable names, survey questions and responses. |
Oct 29, 2023 -
Increasing Women’s Engagement with Mobile Technology
HTML - 449.0 KB -
MD5: 4c4864bc43fadbfd3ca6f58e8df7085d
This file is the codebook for the follow up survey data (html format). |
Sep 20, 2023 - Chirila Dataverse
Bowern, Claire, 2023, "Replication Data for: Bowern, Claire (2012) The Riddle of Tasmanian Languages.", https://doi.org/10.60600/YU/TLDLSC, Yale Dataverse, V1
Recent work which combines methods from linguistics and evolutionary biology has been fruitful in discovering the history of major language families because of similarities in evolutionary processes. Such work opens up new possibilities for language research on previously unsolvable problems, especially in areas where information from other sources... |
