Ordinal methods in the assessment of change.

1991 ◽  
pp. 34-46 ◽  
Author(s):  
Norman Cliff
Keyword(s):  
Ordinal Methods

scholarly journals The equivalence of measures on the Connectedness to Nature Scale: A comparison between ordinal methods of DIF detection

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0207739 ◽  
Author(s):  
Laura Pasca ◽  
María Teresa Coello ◽  
Juan Ignacio Aragonés ◽  
Cynthia McPherson Frantz
Keyword(s):  
Connectedness To Nature ◽  
Equivalence Of Measures ◽  
Ordinal Methods

scholarly journals Dreaming and Electroencephalographic Changes during Anesthesia Maintained with Propofol or Desflurane

2009 ◽  
Vol 111 (3) ◽  
pp. 547-555 ◽  
Author(s):  
Kate Leslie ◽  
Jamie Sleigh ◽  
Michael J. Paech ◽  
Logan Voss ◽  
Chiew Woon Lim ◽  
...  
Keyword(s):  
Eye Movement ◽  
High Frequency ◽  
Rapid Eye Movement ◽  
Dream Recall ◽  
High Frequency Power ◽  
Volatile Anesthesia ◽  
Delayed Emergence ◽  
Ordinal Methods ◽  
To Receive ◽  
Frequency Power

Background Dream recall is reportedly more common after propofol than after volatile anesthesia, but this may be due to delayed emergence or more amnesia after longer-acting volatiles. The electroencephalographic signs of dreaming during anesthesia and the differences between propofol and desflurane also are unknown. The authors therefore compared dream recall after propofol- or desflurane-maintained anesthesia and analyzed electroencephalographic patterns in dreamers and nondreamers and in propofol and desflurane patients for similarities to rapid eye movement and non-rapid eye movement sleep. Methods Three hundred patients presenting for noncardiac surgery were randomized to receive propofol- or desflurane-maintained anesthesia. The raw electroencephalogram was recorded from induction until patients were interviewed about dreaming when they became first oriented postoperatively. Using spectral and ordinal methods, the authors quantified the amount of sleep spindle-like activity and high-frequency power in the electroencephalogram. Results The incidence of dream recall was similar for propofol (27%) and desflurane (28%) patients. Times to interview were similar (median 20 [range 4-114] vs. 17 [7-86] min; P = 0.1029), but bispectral index values at interview were lower (85 [69-98] vs. 92 [40-98]; P < 0.0001) in propofol than in desflurane patients. During surgery, the raw electroencephalogram of propofol patients showed more and faster spindle activity than in desflurane patients (P < 0.001). The raw electroencephalogram of dreamers showed fewer spindles and more high-frequency power than in nondreamers in the 5 min before interview (P < 0.05). Conclusions Anesthetic-related dreaming seems to occur just before awakening and is associated with a rapid eye movement-like electroencephalographic pattern.

Test Scaling and Value-Added Measurement

2009 ◽  
Vol 4 (4) ◽  
pp. 351-383 ◽  
Author(s):  
Dale Ballou
Keyword(s):  
Data Analysis ◽  
Item Response Theory ◽  
Item Response ◽  
Ordinal Data ◽  
Value Added ◽  
Interval Scale ◽  
Response Theory ◽  
Metric Properties ◽  
Ordinal Data Analysis ◽  
Ordinal Methods

Conventional value-added assessment requires that achievement be reported on an interval scale. While many metrics do not have this property, application of item response theory (IRT) is said to produce interval scales. However, it is difficult to confirm that the requisite conditions are met. Even when they are, the properties of the data that make a test IRT scalable may not be the properties we seek to represent in an achievement scale, as shown by the lack of surface plausibility of many scales resulting from the application of IRT. An alternative, ordinal data analysis, is presented. It is shown that value-added estimates are sensitive to the choice of ordinal methods over conventional techniques. Value-added practitioners should ask themselves whether they are so confident of the metric properties of these scales that they are willing to attribute differences to the superiority of the latter.

Augmenting Ordinal Methods of Attribute Weight Approximation

2014 ◽  
Vol 11 (1) ◽  
pp. 21-26 ◽  
Author(s):  
Mats Danielson ◽  
Love Ekenberg ◽  
Ying He
Keyword(s):  
Attribute Weight ◽  
Ordinal Methods
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