1 to 10 of 36 Results
Feb 11, 2021 - Multifactorial Prediction of Depression Diagnosis and Symptom Dimensions
McNamara, Molly, 2019, "Replication Data for: Multifactorial Prediction of Depression Diagnosis and Symptom Dimensions", https://doi.org/10.18738/T8/DEFPNZ, Texas Data Repository, V2
Data and code for a submitted manuscript. Abstract: While Major Depressive Disorder (MDD) is a leading cause of disability, prior investigations may have been limited by studying single explanatory factors rather than considering multiple etiologies simultaneously. The current st... |
Oct 10, 2020 - 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, V2
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. |
Aug 10, 2020 - Forensic Science Study Dataverse
Sare, Laura, 2019, "Forensic Science Information Seeking 2017 Data", https://doi.org/10.18738/T8/2BAQEO, Texas Data Repository, V2
Response data from survey posted to the American Academy of Forensic Sciences in 2017 in fulfillment of NIJ Grant. |
Jul 20, 2020 - Association between negative cognitive bias and depression: A symptom-level approach
Beevers, Christopher, 2019, "Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach", https://doi.org/10.18738/T8/2QPR9Z, Texas Data Repository, V2
These files are the supplementary materials and analysis code used to generate the results reported in the Journal of Abnormal manuscript. |
Mar 31, 2020 - Centering Donor Consent Dataverse
Carbajal, Itza, 2019, "Centering Donor Consent Anonymized Interview Transcripts", https://doi.org/10.18738/T8/TI1Y2M, Texas Data Repository, V2
This includes the complete coded dataset and select anonymized interview datatsets from consenting participants for the research project titled "Centering Donor Consent: An Analysis of Archival Donor Forms and Practices" |
Feb 18, 2020 - Latin American Digital Initiatives (LADI)
Museo de la Palabra y la Imagen; Latin American Digital Initiatives, 2019, "Colección Conflicto Armado del Museo de la Palabra y la imagen", https://doi.org/10.18738/T8/AE3DP2, Texas Data Repository, V3
The Colección Conflicto Armado contains scans of political posters from the period of the Salvadoran Civil War. The posters were produced in support of anti-government activities in El Salvador as well as solidarity organizations outside the country. The posters are housed at the... |
Dec 8, 2019 - Susan Kung Dataverse
Kung, Susan, 2019, "Data management plans for linguistic research", https://doi.org/10.18738/T8/538EEN, Texas Data Repository, V1
This dataset contains supplementary materials to accompany Kung (2020), including a complete list of questions designed to guide the reader through the process of writing a data management plan (DMP) and some sample DMPs specific to linguistic research. |
Dec 4, 2019 - Children's Households
Robert Reynolds; Kelly Raley; Inbar Weiss, 2019, "Household Change with Relationships", https://doi.org/10.18738/T8/CAMJAL, Texas Data Repository, V2
This data file has one record for every indivdual-interval observed or inferred in 2008 SIPP. Waves with indicators for whether there was a change in household composition or in address. |
Nov 21, 2019 - Multi-level Factor Analysis Simulation
Padgett, R. Noah; Morgan, Grant, 2019, "ML-CFA Monte Carlo Simulation Back Up Files", https://doi.org/10.18738/T8/RBUFZG, Texas Data Repository, V1
This dataset contains the entirety of the files generated during the large Monte Carlo simulation study on fit statistics in multilevel factor analysis. |
Sep 26, 2019 - Texas State University Dataverse
Miller, Brian, 2019, "Archaically Worded Items Dataset", https://doi.org/10.18738/T8/WPZSAP, Texas Data Repository, V1
This data set contains data for both Study One and Two. |