Datasets from papers under evaluation or published in Humanities & Social Sciences Communications (as well as Palgrave Communications until June 2020), which is an open-access online-only journal dedicated to publishing high quality original research across all areas of the humanities, and the social and behavioural sciences.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

581 to 590 of 640 Results
Tabular Data - 8.8 KB - 10 Variables, 91 Observations - UNF:6:K79N2cGJ5+eT+84+Ul7CDA==
Data underlying Figures 1, 3-6.
Tabular Data - 3.1 KB - 2 Variables, 145 Observations - UNF:6:BOsbqOhZl0NbehJTaDJYIA==
National data underlying Figure 2.
Tabular Data - 3.6 KB - 4 Variables, 91 Observations - UNF:6:f0IRr6CZgfbMo8VVN9P4JQ==
Regional data underlying Figure 2.
Jun 25, 2018
Ho, Manh Tung, 2018, "Replication Data for: Healthcare consumers’ sensitivity to costs: a reflection on behavioural economics from an emerging market", https://doi.org/10.7910/DVN/CWHOIC, Harvard Dataverse, V1, UNF:6:HW23TEVqP7zEKgNbkb2cDg== [fileUNF]
The datasets resulted from a randomized survey of 2,068 individuals at various clinics, schools, companies and households in Hanoi and the surrounding areas from September to October 2016.
Tabular Data - 598.3 KB - 49 Variables, 2068 Observations - UNF:6:PkIBHaNW+vpxwyx3lkSL3A==
This is the original dataset resulted from the survey. Here, all answers of 2,068 participants were recorded.
Tabular Data - 263 B - 6 Variables, 8 Observations - UNF:6:/GSzfaxtbTFiFpE4brMSGg==
This dataset is extracted from the original. It is used to measure the probability of different level of willing payment for general health examinations against three socioeconomic-cognitive factors: health insurance, distrust in healthcare quality, perception toward public health status.
Tabular Data - 316 B - 6 Variables, 8 Observations - UNF:6:JRtbYm+HKcF+vj+IjgVFcQ==
This dataset is extracted from the original. It is used to measure the probability of different level of willing payment for general health examinations against three demographic factors: job status, marital status, sex.
Jun 6, 2018
Ross, Cody, 2018, "Simulation code for: Resolution of apparent paradoxes in the race-specific frequency of use-of-force by police", https://doi.org/10.7910/DVN/PVPJWM, Harvard Dataverse, V1
R code used in simulations presented in "Resolution of apparent paradoxes in the race-specific frequency of use-of-force by police".
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.