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21 to 30 of 115 Results
Jun 7, 2019 - Liesl Nydegger Dataverse
Nydegger, Liesl, 2019, "Layers Milwaukee Qualitative", https://doi.org/10.18738/T8/6WJIXG, Texas Data Repository Dataverse, V1
This project uses longitudinal, qualitative data to evaluate the feasibility and acceptability of adopting pre-exposure prophylaxis to prevent HIV infection among high-risk Black women. In addition, this project explores situational cues, structural and syndemic barriers, and how...
May 21, 2019 - Texas State University Dataverse
Rangarajan, Nandhini, 2019, "Anicira, Rangarajan, Shields 2019 : Faculty/Practioner Survey Data", https://doi.org/10.18738/T8/EAFOVQ, Texas Data Repository Dataverse, V1
Data from two surveys (to faculty and practitioners in the field of public administration/policy) are presented here. These data pertain to the two groups' perspectives about strategies that help bridge the academic/practitioner divide.
May 15, 2019 - Institute for Science, Technology and Public Policy
Portney, Kent; Mumpower, Jeryl; Vedlitz, Arnold; Liu, Xinsheng; Hannibal, Bryce; Goldsmith, Carol, 2019, "Risk Perception, Threat, and Anxiety Decay in Lone-Wolf Terrorist Events in the US", https://doi.org/10.18738/T8/W7XELB, Texas Data Repository Dataverse, V1
This study, Risk Perception, Threat, and Anxiety Decay in Lone-Wolf Terrorist Events in the US, was conducted by researchers at the Institute for Science, Technology and Public Policy and funded by the National Science Foundation, Grant Award 1624296. The study consisted of a two...
May 2, 2019 - Genaro García Collection
Suarez, Alexandria; Garcia, Genaro, 2019, "Genaro Garcia Photograph Visualization of 19th-century Mexican Politicians", https://doi.org/10.18738/T8/9TKW9O, Texas Data Repository Dataverse, V1
Metadata used to create the visualization titled "Visualizing the 19th-century Mexican Political Sphere" which was Alexandria Suarez's capstone project towards completion of a Spring 2019 MSIS at the University of Texas at Austin School of Information. The project entailed digiti...
Apr 20, 2019 - Ed-tech Network
Papendieck, Adam, 2019, "Network Analysis", https://doi.org/10.18738/T8/0SB4VL, Texas Data Repository Dataverse, V1
network data and scripts
Apr 20, 2019 - Ed-tech Network
Papendieck, Adam, 2019, "LDA Inferred Topics", https://doi.org/10.18738/T8/3DDN6Z, Texas Data Repository Dataverse, V1
Latent Discourses about identity and interests inferred via LDA. (de-identified)
Mar 29, 2019 - Texas State University Dataverse
Blue, Sarah, 2019, "2018 Race, Ethnicity, and Place (REP) Conference", https://doi.org/10.18738/T8/HUP7DV, Texas Data Repository Dataverse, V1
Summary, materials and outcomes of the 2018 IX REP Conference held in Austin, Texas from October 22-25, 2018.
Mar 25, 2019 - Mixture Modeling with Categorial Responses
Padgett, R. Noah; Tipton, Rebecca J., 2019, "Monte Carlo Simulation Results Categorical Latent Class Analysis", https://doi.org/10.18738/T8/CHW28Z, Texas Data Repository Dataverse, V2
This text (.txt, tab delimited) file contains the extracted results from a Monte Carlo simulation experiment investigating model selection in latent class analysis with categorical indicators.
Mar 19, 2019 - Negation in San Juan Quiahije Chatino Sign Language: The Adoption and Adaptation of Negative Emblems
Mesh, Kate; Hou, Lynn, 2018, "Video Examples and Replication Data for: Negation in San Juan Quiahije Chatino Sign Language", https://doi.org/10.18738/T8/XUX25E, Texas Data Repository Dataverse, V2
This dataverse contains a coding manual and a dataset of annotated language, and a set of video examples for the following paper: Mesh, K. & Hou, L. (Under Review). Negation in San Juan Quiahije Chatino Sign Language: The integration and adaptation of conventional gestures. GESTU...
Feb 19, 2019 - Rasch Residual-Based Fit Statistics
Padgett, R. Noah; Morgan, Grant B., 2019, "Rasch Fit Statistics Simulation Results", https://doi.org/10.18738/T8/AWC5FD, Texas Data Repository Dataverse, V2
The results are reported of a Monte Carlo simulation study on the effects of measurement error on Rasch residual based fit statistics.
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