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RAND Corporation

NonprofitSanta Monica, California, United States
About: RAND Corporation is a nonprofit organization based out in Santa Monica, California, United States. It is known for research contribution in the topics: Population & Health care. The organization has 9602 authors who have published 18570 publications receiving 744658 citations.


Papers
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Proceedings ArticleDOI
R. M. Balzer1
14 May 1969
TL;DR: With the advent of the higher-level algebraic languages, the computer industry expected to be relieved of the detailed programming required at the assembly-language level, but this expectation has largely been realized and many systems are now being built in higher- level languages.
Abstract: With the advent of the higher-level algebraic languages, the computer industry expected to be relieved of the detailed programming required at the assembly-language level. This expectation has largely been realized. Many systems are now being built in higher-level languages (most notably MULTICS).

168 citations

Journal ArticleDOI
TL;DR: In this paper, the authors interviewed litigants in personal injury cases in three state courts whose cases had been resolved by trial, court-annexed arbitration, judicial settlement conferences, or bilateral settlement.
Abstract: Little is known about the reactions of tort litigants to traditional and alternative litigation procedures. To explore this issue, we interviewed litigants in personal injury cases in three state courts whose cases had been resolved by trial, court-annexed arbitration, judicial settlement conferences, or bilateral settlement. The litigants viewed the trial and arbitration procedures as fairer than bilateral settlement, apparently because they believed that trials and arbitration hearings gave their case more respectful treatment. They were less satisfied with the outcome of judicial settlement conferences than with the outcome of bilateral settlements, because judicial settlement conference outcomes were more likely to fall below their expectations. In general, procedural justice judgments and outcome satisfaction were little related to objective outcome, cost, or delay; instead the evaluations appeared to be determined largely by perceptions of whether the procedure met litigants' criteria for procedural fairness and expectations on outcomes and costs. Gender, income, and race did not have much effect on evaluations.

168 citations

Book
29 Nov 1995
TL;DR: The societal implications of e-mail technology and the diverging trends in access, based on income and education, that are widening the gap between an information elite and those at a disadvantage are discussed in this paper.
Abstract: A study looking at the societal implications of e-mail technology and the diverging trends in access, based on income and education, that are widening the gap between an information elite and those at a disadvantage. Details the social benefits of on-line communities and implications for global democratization, and addresses the technical and econo

168 citations

Journal ArticleDOI
TL;DR: The results indicate that staff characteristics such as turnover, staffing levels, worker stability, and agency staff should be addressed simultaneously to improve the quality of nursing homes.
Abstract: Objective. The influence staffing levels, turnover, worker stability, and agency staff had on quality of care in nursing homes was examined. Data Sources/Study Setting. Staffing characteristics came from a survey of nursing homes (N=1,071) conducted in 2003. The staffing characteristics were collected for Nurse Aides, Licensed Practical Nurses, and Registered Nurses. Fourteen quality indicators came from the Nursing Home Compare website report card and nursing home organizational characteristics came from the Online Survey, Certification, and Recording system. Study Design. One index of quality (the outcome) was created by combining the 14 quality indicators using exploratory factor analysis. We used regression analyses to assess the effect of the four staffing characteristics for each of the three types of nursing staff on this quality index in addition to individual analyses for each of the 14 quality indicators. The effect of organizational characteristics as well as the markets in which they operated on outcomes was examined. We examined a number of different model specifications. Principal Findings. Quality of care was influenced, to some degree, by all of these staffing characteristics. However, the estimated interaction effects indicated that achieving higher quality was dependent on having more than one favorable staffing characteristic—the effect of quality was larger than the sum of the independent effects of each favorable staffing characteristic. Conclusions. Our results indicate that staff characteristics such as turnover, staffing levels, worker stability, and agency staff should be addressed simultaneously to improve the quality of nursing homes.

168 citations

Journal ArticleDOI
Adam Grissom1
TL;DR: In this paper, the authors assess the state of the art in military innovation research and present four major schools of thought, summarizing their central tenets, key points of similarity and differentiation, and major empirical cases.
Abstract: This article assesses the state of the art in military innovation research. It begins with a description of the field's four major schools of thought, summarizing their central tenets, key points of similarity and differentiation, and major empirical cases. It then addresses priorities for future research, observing that while much has been learned about innovation originating among senior officers and civilian policy-makers, far less is known about innovation originating in field formations. Recent empirical studies hint at the importance of such bottom-up innovation but little progress has been made in achieving a conceptual understanding of the phenomenon. Therein lies the next major challenge, and opportunity, for the field.

168 citations


Authors

Showing all 9660 results

NameH-indexPapersCitations
Darien Wood1602174136596
Herbert A. Simon157745194597
Ron D. Hays13578182285
Paul G. Shekelle132601101639
John E. Ware121327134031
Linda Darling-Hammond10937459518
Robert H. Brook10557143743
Clifford Y. Ko10451437029
Lotfi A. Zadeh104331148857
Claudio Ronco102131272828
Joseph P. Newhouse10148447711
Kenneth B. Wells10048447479
Moyses Szklo9942847487
Alan M. Zaslavsky9844458335
Graham J. Hutchings9799544270
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202311
202277
2021640
2020574
2019548
2018491