The Cattell–Horn–Carroll Model of Cognition for Clinical Assessment

2016 ◽  
Vol 35 (6) ◽  
pp. 547-567 ◽  
Author(s):  
Paul A. Jewsbury ◽  
Stephen C. Bowden ◽  
Kevin Duff

The Cattell–Horn–Carroll (CHC) model is a comprehensive model of the major dimensions of individual differences that underlie performance on cognitive tests. Studies evaluating the generality of the CHC model across test batteries, age, gender, and culture were reviewed and found to be overwhelmingly supportive. However, less research is available to evaluate the CHC model for clinical assessment. The CHC model was shown to provide good to excellent fit in nine high-quality data sets involving popular neuropsychological tests, across a range of clinically relevant populations. Executive function tests were found to be well represented by the CHC constructs, and a discrete executive function factor was found not to be necessary. The CHC model could not be simplified without significant loss of fit. The CHC model was supported as a paradigm for cognitive assessment, across both healthy and clinical populations and across both nonclinical and neuropsychological tests. The results have important implications for theoretical modeling of cognitive abilities, providing further evidence for the value of the CHC model as a basis for a common taxonomy across test batteries and across areas of assessment.

2014 ◽  
Vol 27 (1) ◽  
pp. 167-168
Author(s):  
Victor Michael Aziz ◽  
Padmavathy Srinivasalu Gopinath ◽  
Georgia Baily

Early diagnosis of dementia enables early intervention and gives people the opportunity to make choices and plan for their future. Such an early diagnosis requires accurate assessment. A clinical assessment in people with suspected dementia in a memory clinic setting should include a clinical interview of the patient and their next of kin, a physical and neurological examination, cognitive assessment with appropriate cognitive tests, blood investigations, ECG (electrocardiography), and brain imaging.


2012 ◽  
Vol 8 (S291) ◽  
pp. 165-170 ◽  
Author(s):  
George Hobbs

AbstractThree pulsar timing arrays are now producing high quality data sets. As reviewed in this paper, these data sets are been processed to 1) develop a pulsar-based time standard, 2) search for errors in the solar system planetary ephemeris and 3) detect gravitational waves. It is expected that the data sets will significantly improve in the near future by combining existing observations and by using new telescopes.


Author(s):  
Alexandra Franz ◽  
Andreas Hoser

The E9 (FIREPOD) is an upgraded fine resolution powder diffractometer for elastic neutron scattering, obtaining high quality data sets for Rietveld analysis, structure solution and phase analysis under ambient conditions as well as in situ at low / high temperatures, magnetic fields, gas pressure and various atmospheres.


2006 ◽  
Vol 128 (4) ◽  
pp. 481-486 ◽  
Author(s):  
Dave Corbus ◽  
A. Craig Hansen ◽  
Jeff Minnema

The small wind research turbine (SWRT) testing project was initiated with the goal of better characterizing both small wind turbine loads and dynamic behavior. The main purpose of the testing was to produce high quality data sets for model development and validation and to help the wind industry further their understanding of small wind turbine behavior, including furling. Previous papers have discussed modeling results for the SWRT using the FAST aeroelastic simulator. This paper summarizes modeling results from both the FAST and ADAMS aeroelastic simulators. The ADAMS model allows for blade torsional stiffness to be modeled, which is shown to significantly improve the agreement between model and test results for rotor speed and explain variances in previous comparisons between the SWRT FAST modeling results and the SWRT test data. The ADAMS model results also show that the aerodynamic pitching moment impacts the blade torsion more than the inertial forces.


2016 ◽  
Vol 23 (9) ◽  
pp. 1289-1296 ◽  
Author(s):  
Francesco Saccà ◽  
Teresa Costabile ◽  
Antonio Carotenuto ◽  
Roberta Lanzillo ◽  
Marcello Moccia ◽  
...  

Objective: Despite cognitive tests have been validated in multiple sclerosis (MS), a neuropsychological evaluation is not implemented in the Expanded Disability Status Scale (EDSS) scoring. Methods: We used the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) and orientation tests (OTs) to measure the cerebral functional system (CFS) score and to evaluate its impact on the EDSS. We compared EDSS calculated as usual (Native-EDSS) and after the use of the BICAMS and OT (NPS-EDSS). Results: We tested 604 MS patients with BICAMS, OTs, and EDSS. In all, 384 patients (63.6%) had at least one altered test at the BICAMS. Older age, lower education, higher Native-EDSS, and male gender were independently associated with at least one impaired BICAMS test. Native-EDSS was different from NPS-EDSS (−0.112; p < 0.001) in 99 patients (16%). When considering patients with a Native-EDSS ⩽ 4.0, the proportion of miscalculated EDSS was 25%. Conclusion: The use of brief neuropsychological tests leads to a more accurate CFS assessment in two-thirds of MS patients, and a more accurate EDSS calculation in 25% of patients with a score ⩽4.0. This may help clinicians to better recognize cognitive impairment in everyday clinical practice, especially in the case of isolated cognitive worsening.


2018 ◽  
Vol 52 (3) ◽  
pp. 55-63
Author(s):  
Rick Cole

AbstractThe discussion constantly comes up when planning an observing project, whether one system or multiple systems in an array: “Full water column current velocity and direction included in with all data streams is required,” usually surface meteorology, density, and perhaps wave measurements are needed as well (a complete MetOcean sensor suite). Measuring currents means using acoustic Doppler current profilers (ADCP) in today's ocean observing world. Bottom-mounted systems are now standard and straightforward and the best approach for the cleanest data sets. Surface-mounted ADCPs, on moving buoys, take some thought. Hardware is relatively easy; data processing is not so easy, at least not at first, until all that is involved below the waterline of the buoy is understood. The main reason for placing the buoy in the water in the first place is to collect “good,” high-quality data. Here we look at some early applications where ADCPs (RD Instruments/Teledyne RD Instruments) were mounted on surface buoys and discuss some results and ideas on options moving forward.


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