scholarly journals A further consideration in the application of an analysis-of-variance model for the intrasubject replication design

1974 ◽  
Vol 7 (4) ◽  
pp. 629-633 ◽  
Author(s):  
T. Kratochwill ◽  
K. Alden ◽  
D. Demuth ◽  
D. Dawson ◽  
C. Panicucci ◽  
...  
Keyword(s):  
Analysis Of Variance ◽  
Variance Model

An Analysis of Variance Model for Assessing Reliability of Naturalistic Observations

1978 ◽  
Vol 47 (1) ◽  
pp. 271-278 ◽  
Author(s):  
Ronald A. Berk
Keyword(s):  
Analysis Of Variance ◽  
Interrater Reliability ◽  
Factorial Analysis ◽  
Future Research ◽  
Variance Model ◽  
Unbiased Estimates ◽  
Variance Approach

This paper presents a subjects × raters partially nested factorial analysis of variance model for estimating coefficients of interrater reliability. Procedures and formulae are described for computing unbiased estimates using the between-subjects and error mean squares from the model. Inclusion or exclusion of rater variance in the estimates is also discussed. Nine specific advantages for using the analysis of variance approach over existing methods are listed. A direction for future research on reliability is suggested.

Bayesian tests for the balanced two-way analysis of variance model

1996 ◽  
Vol 53 (3) ◽  
pp. 345-359
Author(s):  
V.T. Makhuvha ◽  
P.C.N. Groenewald ◽  
D.J. de Waal
Keyword(s):  
Analysis Of Variance ◽  
Variance Model

scholarly journals Development of a casemix classification system for inpatient rehabilitation services

1996 ◽  
Vol 19 (3) ◽  
pp. 81 ◽  
Author(s):  
Fiona Webster
Keyword(s):  
Length Of Stay ◽  
Functional Status ◽  
Analysis Of Variance ◽  
Classification System ◽  
Inpatient Rehabilitation ◽  
Payment System ◽  
Rehabilitation Services ◽  
Variance Model ◽  
Patient Diagnosis

This study examines the feasibility of classifying rehabilitation patients according torelative cost and proposes an option for a casemix classification and payment systemfor rehabilitation services in Victoria. The classification system proposed has16- mutually exclusive groups based on patient diagnosis, change in functional status,admission functional status and age, using patient length of stay as a proxy for cost.Data relating to five hospitals were collected over three months during 1994, resultingin 483 inpatient episodes from a variety of impairment groups. The data wereanalysed using an analysis of variance model (PC Group), with the resulting modelaccounting for 30- per cent of the variance in length of stay. The study also considersthe implications of incentives to contain cost and concludes by suggesting that sucha payment system would be feasible to implement following further research to validateand refine the system.

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