Showing papers on "Intra-rater reliability published in 1984"

Safety systems reliability

Abstract: Examines the safety and reliability of automatic protective systems from the initial design phase through complete operation of the system within the plant. Focuses on the protective system used in nuclear reactors. Discusses the importance of independent safety and reliability assessments for evaluation of the system. Examines how human influence factors affect reliability. Compares the accuracy of the reliability prediction for characteristics such as the failure rate of equipment with actual field operating data.

Reliability estimation in interaction analysis

Abstract: Interaction analysts use a variety of nominal, ordinal, and interval level tests to assess coding reliability. This paper evaluates approaches to measuring reliability in interaction analysis by: (1) presenting criteria for a sound reliability estimate, (2) evaluating currently used tests against these criteria, and (3) discussing application of appropriate tests to interaction data.

Reliability of the Auditing Process at the University of Montana's Physical Therapy Department

Abstract: Adding an audit to the problem-oriented medical record system creates feedback to ensure quality control in the health-care field. Auditing is the process of comparing observed behaviors with predefined standards. The literature does not reveal an auditing system that has been tested for reliability. A standardized problem-oriented documentation system was developed at the University of Montana Physical Therapy Clinic. This system was then audited for assessment of its reliability. Kendall's coefficient of concordance (W) was used to determine interrater and intrarater reliability. We determined this documentation system to be reliable because our minimum coefficient of .80 was met. This reliable system aids in assessing objectively the care physical therapy students provide at the University of Montana.

Assessment of Reliability Function

Abstract: In the previous section, the reliability of a system was expressed in precise probabilistic terms However, no indication was given on how to find the appropriate reliability function for a real component or system There are two different approaches to this problem Either the reliability function can be estimated from curve-fitting the failure data obtained from extensive life testing or it may be hypothesized to be a certain parameterized function (as was done for the mechanical system discussed in the previous section) with the parameters estimated via statistical sampling techniques Below will be given an example of each of these approaches However, it must be realized that these examples just give a taste of the methodology available and that reference to one of the standard statistics tests should be made prior to any testing for reliability assessment