Rank Ordering Methods for Multi-criteria Decisions

2014 ◽  
pp. 128-135 ◽  
Author(s):  
Mats Danielson ◽  
Love Ekenberg
Keyword(s):  
Rank Ordering

Why Does Construct Validity Matter in Measuring Implementation Fidelity? A Methodological Case Study

2021 ◽  
pp. 153450842199877
Author(s):  
Wilhelmina van Dijk ◽  
A. Corinne Huggins-Manley ◽  
Nicholas A. Gage ◽  
Holly B. Lane ◽  
Michael Coyne
Keyword(s):  
Construct Validity ◽  
Reading Instruction ◽  
Model Building ◽  
Implementation Fidelity ◽  
Modeling Framework ◽  
Relative Rank ◽  
Rank Ordering ◽  
Adherence Data ◽  
Funded Project

In reading intervention research, implementation fidelity is assumed to be positively related to student outcomes, but the methods used to measure fidelity are often treated as an afterthought. Fidelity has been conceptualized and measured in many different ways, suggesting a lack of construct validity. One aspect of construct validity is the fidelity index of a measure. This methodological case study examined how different decisions in fidelity indices influence relative rank ordering of individuals on the construct of interest and influence our perception of the relation between the construct and intervention outcomes. Data for this study came from a large State-funded project to implement multi-tiered systems of support for early reading instruction. Analyses were conducted to determine whether the different fidelity indices are stable in relative rank ordering participants and if fidelity indices of dosage and adherence data influence researcher decisions on model building within a multilevel modeling framework. Results indicated that the fidelity indices resulted in different relations to outcomes with the most commonly used fidelity indices for both dosage and adherence being the worst performing. The choice of index to use should receive considerable thought during the design phase of an intervention study.

Fuzzy bipolar sets in rank-ordering system

2022 ◽  
Author(s):  
J. Krishnaveni ◽  
B. Rajalakshmi ◽  
V. Santhanaathiveeralakshmi
Keyword(s):  
Rank Ordering

Swamps, canals, and the locations of ancient Maya cities

Antiquity ◽  
1980 ◽  
Vol 54 (212) ◽  
pp. 206-214 ◽  
Author(s):  
R. E. W. Adams
Keyword(s):  
Radar Data ◽  
Classic Maya ◽  
Classic Period ◽  
Intensive Agriculture ◽  
Ancient Maya ◽  
Maya Lowlands ◽  
Rank Ordering ◽  
Topographic Information ◽  
Maya Civilization ◽  
Mapping Discovery

The recent radar mapping discovery of widely distributed patterns of intensive agriculture in the southern Maya lowlands provides new perspectives on classic Maya civilization. Swamps seem to have been drained, modified, and intensively cultivated in a large number of zones. The largest sites of Maya civilization are located on the edges of swamps. By combining radar data with topographic information, it is possible to suggest the reasons for the choice of urban locations. With the addition of patterns elicited from rank-ordering of Maya cities, it is also possible to suggest more accurate means of defining Classic period Maya polities.

scholarly journals A Globally Consistent Stress Testing Approach

2019 ◽  
Vol 4 (3) ◽  
pp. p153
Author(s):  
Colin Ellis
Keyword(s):  
Stress Testing ◽  
Expected Shortfall ◽  
Data Availability ◽  
Rank Ordering ◽  
Testing Approach ◽  
Bank Solvency ◽  
High Level ◽  
Loan Losses ◽  
Compare And Contrast ◽  
Expected Outcomes

This paper describes an approach for stress testing banks that is consistent across economies and geographies, in contrast to common “macro scenario” driven approaches. The latter would require economic scenarios to be both equally likely (in a probabilistic sense) and equally stressful (in a conditional loss sense) across countries in order to be comparable. The paper proposes a three-pronged approach for stressing bank solvency, which incorporates recalibrating pre-crisis Basel capital assumptions, adapting the BIS “expected shortfall” approach for securities, and using granular data for income haircuts. Loan losses are quantified using a simple “multiples” approach, starting from expected outcomes, which is derived from the pre-crisis Basel technical proposal. The approach is practical, can be more granular or conducted at a high level, depending on data availability, and offers a simple way for regulators, investors or risk assessors to compare and contrast stresses in different banking systems. Of the eight bank defaults recorded globally during 2017, this approach would have given a better “rank ordering” for seven of them, indicating the approach adds value to traditional solvency metrics.

scholarly journals Rank-Ordering of Topographic Variables Correlated with Temperature

2012 ◽  
Vol 02 (02) ◽  
pp. 139-147 ◽  
Author(s):  
Daniel Joly ◽  
Benjamin Bois ◽  
Klemen Zaksek
Keyword(s):  
Rank Ordering

An Ergonomic Investigation of Multipurpose Chairs

1973 ◽  
Vol 15 (3) ◽  
pp. 247-255 ◽  
Author(s):  
Etienne Grandjean ◽  
Wilhelm Hünting ◽  
Günter Wotzka ◽  
Richard Schärer
Keyword(s):  
The Body ◽  
Paired Comparisons ◽  
Men And Women ◽  
Rank Ordering ◽  
Multiple Uses ◽  
Shape Characteristics ◽  
The Chairs ◽  
Different Parts

Twelve types of chairs were investigated using a sample of 50 men and women. Each chair was compared with every other chair for comfort. A questionnaire concerning comfort in different parts of the body was also administered. Analysis of the paired comparisons allowed a rank ordering of the 12 chairs. The questionnaire revealed advantages as well as disadvantages of specific parts of the chairs. Comparison of the judgments with the shape characteristics of the seats gave clues to the design of a chair for multiple uses.

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