Short-Version YLS-CMI: An Alternative Prediction Model for Juvenile Offenders at Intake

2009 ◽  
Author(s):  
Christina Campbell ◽  
Eyitayo Onifade ◽  
William Davidson ◽  
Jodie Petersen
Keyword(s):  
Juvenile Offenders ◽  
Prediction Model ◽  
Short Version

Research on Ink's Dot Area Percentage's Prediction in Digital Printing Based on Spectrum Analyzing

2013 ◽  
Vol 469 ◽  
pp. 340-343
Author(s):  
Chen Fei Zhao ◽  
Qing Han ◽  
Yong Chang Chen
Keyword(s):  
Prediction Model ◽  
Spectral Reflectance ◽  
Good Method ◽  
Normalization Method ◽  
Digital Printing ◽  
Short Version ◽  
Print Quality ◽  
Precise Control ◽  
Digital Print ◽  
Area Percentage

Digital printing can print directly the information which will be printed on the package box by digital print machine and internet or computer, which removes the procession of color separation, makeup, plate-making in the traditional printing. The digital print can print any number package box at any time and at any place, which can realize the variable data printing, and which has a price advantage in the short version printing. Therefore, digital printing is a good method for personalized packaging printing.In digital printing, color control is important for print quality detection. In this paper the dot area percentage of cyan, magenta, yellow ink can be predicted by measuring the color’s spectral reflectance in order to control the ink’s amount in digital print and realize the color’s precise control of cyan, magenta, yellow. In the prediction model of three color ink’s dot percentage, the characteristic of spectral reflectance curves for the various color ink is analyzed, and each ink’s high reflectivity and low reflectivity which is high correlation with the dot percentage is chosen and is calculated by normalization method in order to get each ink’s dot area percentage’ prediction model. At last by measuring the paper’s spectral reflectance and the using normalization method, paper’s color can be described, and the effect of paper on monochrome color ink’s dot area percentage can be analyzed. The research has important significance for packing box’s digital printing’s color high-fidelity reproduction.

1575: External Validation of Outcome Prediction Model for Ureteral/Renal Calculi

2005 ◽  
Vol 173 (4S) ◽  
pp. 427-427
Author(s):  
Sijo J. Parekattil ◽  
Udaya Kumar ◽  
Nicholas J. Hegarty ◽  
Clay Williams ◽  
Tara Allen ◽  
...  
Keyword(s):  
Prediction Model ◽  
Outcome Prediction ◽  
External Validation ◽  
Renal Calculi

Gliedmaßenapraxie bei Patienten mit Multipler Sklerose

2017 ◽  
Vol 28 (3-4) ◽  
pp. 207-217
Author(s):  
Kathi Maren Harscher ◽  
Celina Hirth-Walther ◽  
Ilka Buchmann ◽  
Christian Dettmers ◽  
Jennifer Randerath
Keyword(s):  
Diagnostic Instrument ◽  
Short Version ◽  
Limb Apraxia

Zusammenfassung. Gliedmaßenapraxie ist eine Störung der motorischen Kognition, die besonders häufig nach linkshemisphärischem Schlaganfall auftritt. Diese Störung ist bei Patienten mit Multipler Sklerose (MS) noch wenig untersucht. Bisherige MS-Studien indizieren, dass die Leistung in den klassischen Pantomime- und Imitationstests beeinträchtigt sein kann. Die vorliegende Studie untersuchte die Gliedmaßenapraxie bei 26 MS-Patienten und 24 Gesunden mit dem Diagnostic Instrument for Limb Apraxia – Short Version (DILA-S), das zusätzlich zu den klassischen Imitations- und Pantomimetests auch den tatsächlichen Werkzeuggebrauch untersucht. Bei 27 % der MS-Patienten wurden apraktische Symptome in jeweils einzelnen Untertests diagnostiziert. Die Symptomausprägung war jedoch gering, sodass Gruppenvergleiche keine signifikanten Unterschiede zeigten. Insgesamt legen die Studienergebnisse nahe, dass Gliedmaßenapraxie bei MS-Patienten auftreten kann, aber vermutlich selten zu einem klinisch relevanten Symptom wird.

Assessing Personality With Multi-Descriptor Items

2019 ◽  
Vol 35 (1) ◽  
pp. 117-125
Author(s):  
Johannes Schult ◽  
Rebecca Schneider ◽  
Jörn R. Sparfeldt
Keyword(s):  
University Students ◽  
Construct Validity ◽  
Big Five ◽  
Reliability And Validity ◽  
Personality Inventory ◽  
The Other ◽  
Short Version ◽  
Big Five Inventory ◽  
Personality Inventories

Abstract. The need for efficient personality inventories has led to the wide use of short instruments. The corresponding items often contain multiple, potentially conflicting descriptors within one item. In Study 1 ( N = 198 university students), the reliability and validity of the TIPI (Ten-Item Personality Inventory) was compared with the reliability and validity of a modified TIPI based on items that rephrased each two-descriptor item into two single-descriptor items. In Study 2 ( N = 268 university students), we administered the BFI-10 (Big Five Inventory short version) and a similarly modified version of the BFI-10 without two-descriptor items. In both studies, reliability and construct validity values occasionally improved for separated multi-descriptor items. The inventories with multi-descriptor items showed shortcomings in some factors of the TIPI and the BFI-10. However, the other scales worked comparably well in the original and modified inventories. The limitations of short personality inventories with multi-descriptor items are discussed.

Following the Ants

2017 ◽  
Vol 33 (6) ◽  
pp. 409-421 ◽  
Author(s):  
Anne B. Janssen ◽  
Martin Schultze ◽  
Adrian Grötsch
Keyword(s):  
Short Form ◽  
Supervisor Support ◽  
Proactive Personality ◽  
Work Behavior ◽  
Model Fit ◽  
Item Selection ◽  
Short Version ◽  
Innovative Work Behavior ◽  
Innovative Work ◽  
Two Measures

Abstract. Employees’ innovative work is a facet of proactive work behavior that is of increasing interest to industrial and organizational psychologists. As proactive personality and supervisor support are key predictors of innovative work behavior, reliable, and valid employee ratings of these two constructs are crucial for organizations’ planning of personnel development measures. However, the time for assessments is often limited. The present study therefore aimed at constructing reliable short scales of two measures of proactive personality and supervisor support. For this purpose, we compared an innovative approach of item selection, namely Ant Colony Optimization (ACO; Leite, Huang, & Marcoulides, 2008 ) and classical item selection procedures. For proactive personality, the two item selection approaches provided similar results. Both five-item short forms showed a satisfactory reliability and a small, however negligible loss of criterion validity. For a two-dimensional supervisor support scale, ACO found a reliable and valid short form. Psychometric properties of the short version were in accordance with those of the parent form. A manual supervisor support short form revealed a rather poor model fit and a serious loss of validity. We discuss benefits and shortcomings of ACO compared to classical item selection approaches and recommendations for the application of ACO.

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