4,164 research outputs found
Comparison of predicted porpoise densities and acoustic metrics
No full textPredicted porpoise densities are courtesy of Jason J. Roberts. Acoustic data were collected from November 2014 to May 2016 offshore of Maryland, USA. Columns of importance are the site (1-4), month, Density, and the four acoustic metric columns (maximum number of hours per day with a detection, total number of hours with a detection, maximum number of hours in a day with a detection, and the proportion of days with a detection)
Alberto Guzman, Saving the legacy: an oral history of Utah\u27s World War II veterans, ACCN 2070, American West Center, University of Utah
No full textTranscript (94 pages) of an interview by Jason Hardy with Alberto Guzman on February 10, 2006. From tape numbers 754 and 755 in the "Saving the Legacy" Oral History ProjectGuzman (b. 1919) describes his childhood and going into the army, where he received his training at Camp Roberts and Fort Lewis, Washington. He served in North Africa, France, and Germany. Interviewed by Jason Hardy. 94 pages
Jason ex-offender data comparing three conditions
No full textThis aftercare study involved a sample of 270 criminally-justice involved individuals with substance use disorders, who were randomized either to self-help recovery homes, professionally led therapeutic communities, or a control condition. Subsequently, participants were then followed over two years providing multiple waves of data. The authors of this article concluded that those who had been assigned to the recovery home condition received more money from employment, worked more days, achieved higher continuous alcohol sobriety rates, and had more favorable cost–benefit ratios.
Jason, L.A., Olson, B.D., & Harvey, R. (2015). Evaluating alternative aftercare models for ex- offenders. Journal of Drug Issues, 45(1), 53–68.
Regarding the Doleac et al. (2020) replication of parts of the Jason et al. (2015) study, for their findings on days incarcerated, the replicators finding of increased days incarcerated for those in the recovery home condition compared to controls was not significant at the p < .05 level. In addition, the replicators’ findings were inflated by selecting those with 30 or more days of participation. In addition, baseline days incarcerated would not have been significant if the replicators had used non-parametric parametric testing. Other measures of criminal involvement indicated no significant baseline differences over time. If a more appropriate criminal justice baseline variable had been used, no differences in the outcomes would have been found. Often, converging evidence from multiple sources is the best way to understand complex phenomena such as that within this study, whereas focusing just on one individual variable that has considerable psychometric flaws is more likely to produce inaccurate results.
More extensive information on this replication is in a paper that is being reviewed at a journal:
Jason, L.A., Cotler, J., Islam, M.F., & Harvey, R. (2021). Replications can be compromised with policy implications. Submitted for publication.
The replication can be found here:
Doleac, J.L., Temple, C., & Roberts, D.P.A (2020). Which prisoner reentry programs work?
Replicating and extending analyses of three RCTs. International Review of Law and
Economics, Published online Feb. 19, 2020
Influence of sustained low-efficiency diafiltration (SLED-f) on interstitial fluid concentrations of fluconazole in a critically ill patient: use of microdialysis
No full textAbstract not availableMahipal G. Sinnollareddy, Michael S. Roberts, b, Jeffrey Lipman, Sandra L. Peake, Jason A. Robert
Twitter Tweets for Donald J. Trump (@realdonaldtrump)
No full textDataset Metrics
Total size of data uncompressed:115901693 bytes
Number of objects (submissions): 40,241
Start Date: Mon May 04 18:54:25 +0000 2009
End Date: Thu Jul 11 15:52:19 +0000 2019
Format: ndjson (new line delimited JSON)
Overview
This dataset contains all known publicly available tweets for Donald J. Trump's (@realdonaldtrump) Twitter account.
Methodology
This data was compiled from multiple sources including several online Github accounts that contained the status ids for previous tweets made by Donald Trump. All ids were compiled into a single list and then those ids were requested from Twitter's "statuses lookup" endpoint. Tweets deleted by Donald Trump will not be in this dataset but can be obtained from the author of this publication for a subset of the time range present in this dataset. This dataset will also include the tweet information for any retweeted tweets under the "retweeted_status" key for each JSON object. The user object has been left in each tweet (both the main tweet and retweeted / quoted tweets if they exist).
Contact
If you have any questions about the data or require more details on the methodology, you are welcome to contact the author
Twitter Tweets for Donald J. Trump (@realdonaldtrump)
No full textDataset Metrics
Total size of data uncompressed:115901693 bytes
Number of objects (submissions): 40,241
Start Date: Mon May 04 18:54:25 +0000 2009
End Date: Thu Jul 11 15:52:19 +0000 2019
Format: ndjson (new line delimited JSON)
Overview
This dataset contains all known publicly available tweets for Donald J. Trump's (@realdonaldtrump) Twitter account.
Methodology
This data was compiled from multiple sources including several online Github accounts that contained the status ids for previous tweets made by Donald Trump. All ids were compiled into a single list and then those ids were requested from Twitter's "statuses lookup" endpoint. Tweets deleted by Donald Trump will not be in this dataset but can be obtained from the author of this publication for a subset of the time range present in this dataset. This dataset will also include the tweet information for any retweeted tweets under the "retweeted_status" key for each JSON object. The user object has been left in each tweet (both the main tweet and retweeted / quoted tweets if they exist).
Contact
If you have any questions about the data or require more details on the methodology, you are welcome to contact the author
Micropolitan areas: splitting the difference
No full textby Jason J. Yohannan.Title from PDF caption (viewed on February 24, 2020).Converted from HTML.This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Mode of access: Internet from the Oregon Government Publications Collection.Text in English
Landslide risk reduction in Wasco County, Oregon
No full textby William J. Burns, Nancy Calhoun, Jon Franczyk, Jason D. McClaughry, and Katherine Daniel.Title from PDF cover (viewed on February 27, 2023).This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references (pages 20-24).Mode of access: Internet from the Oregon Government Publications Collection.Text in English
The child dental health surveys Australia, 2005 and 2006
No full textThis publication describes the state of oral health of Australian children attending a school dental service in 2005 and 2006. Dental decay remains relatively prevalent among Australian children, affecting the deciduous teeth of more than half of all 6 year olds, and the permanent teeth of nearly half of all 12 year olds.Diep Ha, Kaye Roberts-Thomson, Jason Armfieldhttp://trove.nla.gov.au/work/16242087
Regret_Paper_Online_Supplementary_Material – Supplemental material for Regret and unfinished business in parents bereaved by cancer: A mixed methods study
No full textSupplemental material, Regret_Paper_Online_Supplementary_Material for Regret and unfinished business in parents bereaved by cancer: A mixed methods study by Wendy G Lichtenthal, Kailey E Roberts, Corinne Catarozoli, Elizabeth Schofield, Jason M Holland, Justin J Fogarty, Taylor C Coats, Lamia P Barakat, Justin N Baker, Tara M Brinkman, Robert A Neimeyer, Holly G Prigerson, Talia Zaider, William Breitbart and Lori Wiener in Palliative Medicine</p
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