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- Creator:
- Gerber, Elisabeth R., Morenoff, Jeffrey D., Ostfeld, Mara C., Sand, Sharon L., and Fan, Yucheng
- Description:
- Survey topics included: Household Composition, Residence and Housing Status; Perceptions of Neighborhood; Neighborhood Blight; Social Connection, Social Isolation, Loneliness; Election; Employment; Crime, Violence, Safety & Violence Reduction Programs; Municipal Services and Democratic Values. This data file contains 2,450 Detroit residents' close-ended responses. The full dataset will be published on ICPSR.
- Keyword:
- Detroit, Employment, Neighborhood, Blight, Social cohesion, Election, Crime, Violence, Violence reduction program, Municipal service, Demographics, Voting, and Social connection
- Discipline:
- Social Sciences and News and Current Events
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- Creator:
- Dumlao, James M. Zumel and Teplitskiy, Misha
- Description:
- The data sources and methods used to process the raw data are described in the paper forthcoming in Science and the associated Supplementary Information. A preprint for an earlier version of this paper is available here: https://osf.io/preprints/socarxiv/754e3. These data are anonymized (see Methodology for details). Consequently, running the same code on these data vs. the data in the paper does not yield *identical* results but qualitatively similar ones.
- Keyword:
- peer review, double-anonymization, geographic diversity, homophily, fairness, and bias
- Citation to related publication:
- J. M. Z. Dumlao, M. Teplitskiy, Science, forthcoming. and Zumel Dumlao, J. M. and M. Teplitskiy. 2023. “The Effect of Reviewer Geographical Diversity on Evaluations Is Reduced by Anonymizing Submissions”. Retrieved (osf.io/preprints/socarxiv/754e3).
- Discipline:
- Science and Social Sciences
-
- Creator:
- Hawes, Jason K
- Description:
- Most of this deposit is composed of a step-by-step explanation of how to replicate the work conducted in Chapters 2 and 5 of my dissertation (available in DeepBlue Documents under the title Urban Agriculture: Good for People, Places, and Planet?). Very little actual data is catalogued here, instead largely relying on links to the secondary datasets online. In fact, this is an intentional choice, since any replication would likely want updated data to produce more real-time results. This deposit is intended to accompany the dissertation and may not be the final version of these two manuscripts or their associated methods. For more up-to-date methods and analysis, please search Google Scholar or your affiliated library for Jason Hawes and some combination of keywords including urban agriculture, scaling-up, tradeoffs, or the names of the cities in question.
- Keyword:
- urban agriculture, tradeoffs, remote sensing, and multi-criteria analysis
- Discipline:
- Social Sciences
-
- Creator:
- Kimbrough, Erik, Murray, Jennifer, Sarmiento, Olga, Krupka, Erin, Ramalingam, Abhijit , Kee, Frank, Kumar, Rajnish, Sánchez-Franco, Sharon , and Hunter, Ruth
- Description:
- THE DATA: Unfortunately, we are unable to share our data for this project. Since we were working with a vulnerable population (children), we were asked by Queens University Belfast’s IRB-equivalent to include language in the consent documents indicating that the data would not be shared outside of the research team. Thus, the datasets generated during and/or analyzed during the current study are not publicly available as participants were informed that no-one outside of the research team would have access to the research data when they signed their consent forms. Thus, we provide Stata, R and Mplus scripts used to generate all tables and figures reported in the paper. Since we cannot share the raw study data, most of these files cannot be run, but in the interest of transparency we include the scripts so that our code can be checked. Since a major portion of the paper is the LTA modeling, we took an additional step there and generated simulated data that allows the R+Mplus scripts to be run. These runnable scripts and the simulated data are contained in the subfolder LTA_code_EXEC. For further information about the study datasets, please contact the authors (Emails: Jennifer.Murray@qub.ac.uk; ruth.hunter@qub.ac.uk)
- Keyword:
- norms heterogeneity, experimental economics, and RCT
- Citation to related publication:
- Kimbrough, E., Krupka, E., Kumar, R., Murray, J., and Ramalingam, A. (conditional accept). On the Stability of Norms and Norm-Following Propensity: A Cross Cultural Panel Study with Adolescents. Experimental Economics
- Discipline:
- Health Sciences and Social Sciences
-
- Creator:
- Adams, Savannah
- Description:
- These materials are SPSS datasets and syntax files related to a project investigating the weight given to various moral domains when forming impressions of others. We looked at how participants' impressions of the moral character of social targets varied when provided with information that those targets behaved in ways that upheld or violated various moral domains. Following this, we also looked at whether participants' willingness to cooperate with a target changed based on those behaviors, and whether judgments following information about the social targets remained robust under cognitive load.
- Keyword:
- Morality, Impression Formation, Social judgment, and Cooperation
- Discipline:
- Social Sciences
-
S’Urachi Site-Based Archaeological Survey
User Collection
- Creator:
- Gosner, Linda R.
- Description:
- This data was produced by the site-based archaeological survey at the nuraghe S'Urachi in west-central Sardinia (San Vero Milis, Oristano, Sardinia). The survey was carried out from 2015-2017 as a part of the ongoing Progetto S'Urachi, an archaeological project that aims to understand daily life around the monumental Bronze Age tower of S'Urachi during the later occupation of the landscape over the course of the 1st millennium BCE.
- Keyword:
- Mediterranean archaeology, Sardinia, Archaeological Survey, Excavation, and Classical Archaeology
- Discipline:
- Social Sciences
2Works -
- Creator:
- Samuel, Sara M, Wilson, Diane L, and Fleming, Emily K
- Description:
- The International Committee of Medical Journal Editors (ICMJE) requires researchers to post individual participant data (IPD) plans for interventional clinical trials with registration in order to be eligible for publication in its member journals. This study looked at how researchers interpret the ICMJE requirements and the related prompts for information used by ClinicalTrials.gov. This data consists of the analyzed contents of the IPD plans that researchers at the University of Michigan (U-M) submitted with trial registrations for the first 27 months that the 2019 requirement was in effect.
- Keyword:
- research data sharing, research data policy, research data, clinical trials, ClinicalTrials.gov, individual participant data, IPD, data sharing plan, and compliance
- Citation to related publication:
- Samuel, S. M. & Wilson, D. L. & Fleming, E., (2023) “Evaluating individual participant data plans for ICMJE compliance: A case study at University of Michigan”, Journal of the Society for Clinical Data Management 3(4). doi: https://doi.org/10.47912/jscdm.257
- Discipline:
- Health Sciences, Social Sciences, and General Information Sources
-
- Creator:
- Eckel, Catherine, Hoover, Hanna, Krupka, Erin, Sinha, Nishita, and Wilson, Rick
- Description:
- The research reported here is part of a larger study where we recruited students from the entering undergraduate classes in 2016, 2017, 2018 and 2019 at Rice University. The aim of the larger project is to examine the evolution of economic preferences (altruism, risk aversion, time preference, competitiveness, loss aversion, in-group favoritism, among others) across their college years. Subjects participated in numerous laboratory and online studies between matriculation and 2021. This paper uses data from the experimental design of a subset of tasks that subjects completed. The survey wave used in this paper was collected in June and July of 2021. This survey was composed of fifteen modules and had a total of 710 participants. and The survey consisted of 15 modules. Module 1 consisted of questions on COVID-19 related behavior and future expectations of the COVID-19 pandemic. Module 2 consisted of an emotion elicitation task. Module 3 solicited trust levels of several authorities and news outlets. Module 4 consisted of several general socioeconomic preference questions. Module 5 asked questions related to how frequently subjects provide various forms of help. Module 6 solicited social appropriateness ratings regarding COVID-19 preventative behavior. Module 7 consisted of an estimation task. Module 8 was the dictator game with the freshmen recipient. Module 9 involved a risky investment decision task. Module 10 was the dictator game with the same-class recipient. Module 11 involved a trust-game. Module 12 was the dictator game with charity as the recipient. Module 13 asked questions regarding help received by the university as well as COVID-19 academic impact. Module 14 included questions regarding the subjects’ COVID-19 infection status. Module 15 posed questions regarding subjects’ resiliency. Only modules 8, 10, and 12 were used in this analysis. These corresponded to Q11 - Q18 of the instrument. In each module, subjects played a dictator game, guessed what others did in the game and played a coordination game designed to elicit norms for the dictator game they just played. After the subject completed the survey, we randomly selected a module for payment. Subjects then received an email alerting the subject which module was selected for payment and how much money they would receive given their responses in the selection module. Data was analyzed using STATA; if running the do file for STATA, and not already installed, then add ""capture ssc install estout" to the very top of the .do file.
- Keyword:
- Dictator game, Social norms, and Charitable giving
- Discipline:
- Social Sciences
-
- Creator:
- Carlson, Jake
- Description:
- This data set is my analysis of data management plans (DMPs) that were written by researchers at the University of Michigan for awards made between March 2020 and February 2021. I conducted this analysis to explore the potential utility of DMPs as a tool to aid data curators in understanding and working with the associated data set. Variables collected include: the types and formats of the expected data sets, information about the metadata and documentation to be generated, the anticipated methods for making the data set publicly available, references to Intellectual Property allowances or concerns, and the stated duration for preserving the data sets.
- Keyword:
- Data management plans, Data curation, Data sharing, and Content Analysis
- Citation to related publication:
- Carlson, J. (2023) Untapped Potential: A Critical Analysis of the Utility of Data Management Plans in Facilitating Data Sharing. Journal of Research Administration. Fall 2023. Forthcoming.
- Discipline:
- Social Sciences
-
- Creator:
- Brennan, Jonathan R
- Description:
- These files contain the raw data and processing parameters to go with the paper "Hierarchical structure guides rapid linguistic predictions during naturalistic listening" by Jonathan R. Brennan and John T. Hale. These files include the stimulus (wav files), raw data (BrainVision format), data processing parameters (matlab), and variables used to align the stimuli with the EEG data and for the statistical analyses reported in the paper (csv spreadsheet). and Updates in Version 2: - data in BrainVision format - added information about data analysis - corrected prePROCessing information for S02
- Keyword:
- Linguistics, Speech, and EEG
- Citation to related publication:
- Brennan, J. R., & Hale, J. T. (2019). Hierarchical structure guides rapid linguistic predictions during naturalistic listening. PLoS ONE 14(1). e0207741
- Discipline:
- Social Sciences
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