8. An overall evaluation 231

Keyword(s):  
2020 ◽  
Author(s):  
Amy K. Clark ◽  
Meagan Karvonen

Alternate assessments based on alternate achievement standards (AA-AAS) have historically lacked broad validity evidence and an overall evaluation of the extent to which evidence supports intended uses of results. An expanding body of validation literature, the funding of two AA-AAS consortia, and advances in computer-based assessment have supported improvements in AA-AAS validation. This paper describes the validation approach used with the Dynamic Learning Maps® alternate assessment system, including development of the theory of action, claims, and interpretive argument; examples of evidence collected; and evaluation of the evidence in light of the maturity of the assessment system. We focus especially on claims and sources of evidence unique to AA-AAS and especially the Dynamic Learning Maps system design. We synthesize the evidence to evaluate the degree to which it supports the intended uses of assessment results for the targeted population. Considerations are presented for subsequent data collection efforts.


2020 ◽  
Vol 13 (5) ◽  
pp. 977-986
Author(s):  
Srinivasa Rao Kongara ◽  
Dasika Sree Rama Chandra Murthy ◽  
Gangadhara Rao Kancherla

Background: Text summarization is the process of generating a short description of the entire document which is more difficult to read. This method provides a convenient way of extracting the most useful information and a short summary of the documents. In the existing research work, this is focused by introducing the Fuzzy Rule-based Automated Summarization Method (FRASM). Existing work tends to have various limitations which might limit its applicability to the various real-world applications. The existing method is only suitable for the single document summarization where various applications such as research industries tend to summarize information from multiple documents. Methods: This paper proposed Multi-document Automated Summarization Method (MDASM) to introduce the summarization framework which would result in the accurate summarized outcome from the multiple documents. In this work, multi-document summarization is performed whereas in the existing system only single document summarization was performed. Initially document clustering is performed using modified k means cluster algorithm to group the similar kind of documents that provides the same meaning. This is identified by measuring the frequent term measurement. After clustering, pre-processing is performed by introducing the Hybrid TF-IDF and Singular value decomposition technique which would eliminate the irrelevant content and would result in the required content. Then sentence measurement is one by introducing the additional metrics namely Title measurement in addition to the existing work metrics to accurately retrieve the sentences with more similarity. Finally, a fuzzy rule system is applied to perform text summarization. Results: The overall evaluation of the research work is conducted in the MatLab simulation environment from which it is proved that the proposed research method ensures the optimal outcome than the existing research method in terms of accurate summarization. MDASM produces 89.28% increased accuracy, 89.28% increased precision, 89.36% increased recall value and 70% increased the f-measure value which performs better than FRASM. Conclusion: The summarization processes carried out in this work provides the accurate summarized outcome.


1990 ◽  
Vol 36 (11) ◽  
pp. 1978-1980 ◽  
Author(s):  
S Zureick ◽  
J Nadler ◽  
J Yamamoto ◽  
R Horton

Abstract We describe a combined HPLC-RIA technique to measure both major metabolites of prostacyclin (PGI2): 6-keto PGF1 alpha and 2,3-dinor-6 keto PGF1 alpha. The measurement of the former, which originates from renal blood vessels, and the latter, from systemic vessels and the liver, may provide a better overall evaluation of production than measurement of one metabolite. An aliquot of acidified urine with added 3H-labeled metabolites is adsorbed and then eluted from a C18 Bond-Elut column. The sample is then passed through an HPLC system by use of an isocratic solvent combination that separates the two metabolites from known prostaglandins. The purified metabolites are then quantified by RIA. Using a logit-log10 transform, one can measure between 12 and 250 pg of either metabolite, with high accuracy and precision (CVs of 12% for a low concentration and 7% for a high concentration). Reference values for apparently healthy subjects were, respectively, 107 (SD 45) and 171 (SD 69) ng/g creatinine for 6-keto PGF1 alpha and the dinor metabolite in men (n = 18) and 45 (SD 22) and 141 (SD 28) ng/g creatinine, respectively, in women (n = 15). Indomethacin in standard doses reduced both metabolite values by 50%. Intravenous administration of angiotensin II (5 ng/kg of body wt per minute) did not alter excretion rates, but equipressor doses of norepinephrine (0.1 microgram/kg per minute) increased the production of both metabolites (6-keto greater than dinor).


2020 ◽  
pp. 014556132091910
Author(s):  
Lauren E. Miller ◽  
Adva Buzi ◽  
Ashley Williams ◽  
Rachel S. Rogers ◽  
Angel G. Ortiz ◽  
...  

Introduction: Telemedicine is an increasingly prevalent component of medical practice. In otolaryngology, there is the potential for telemedicine services to be performed in conjunction with device use, such as with a nasolaryngoscope. This study evaluates the reliability of remote examinations of the upper airway through an iPhone recording using a coupling device attached to a nasopharyngolaryngoscope (NPL). Methods: A prospective, blinded study was performed for pediatric patients requiring an NPL during an office visit. The NPL was performed using a coupling device attached to a smartphone to record the examination. A second, remote otolaryngologist then evaluated the recorded examination. Both otolaryngologists evaluated findings of anatomic sites including nasopharynx, oropharynx, base of tongue, larynx including subsites of epiglottis, arytenoids, aryepiglottic folds, false vocal cords, true vocal cords, patency of airway, and diagnostic impression, all of which were documented through a survey. Results of the survey were evaluated through inter-rater agreement using the κ statistic. Results: Forty-five patients underwent an NPL, all of which were included in the study. The average age was 4.9 years. The most common complaint requiring NPL was noisy breathing (n = 16). The inter-rater agreement for overall diagnosis was 0.74 with 80% percent agreement, rated as “good.” Other anatomic subsites with “good” or better inter-rater agreement were nasopharynx (0.75), oropharynx (0.75), and true vocal cords (0.71), with strong percentage agreement of 89%, 91%, and 87%, respectively. Both users of the adaptor found the recording setup to run smoothly. Conclusion: A telemedicine device for NPL use demonstrates strong diagnostic accuracy across providers and good overall evaluation. It holds potential for use in remote settings.


2021 ◽  
Vol 41 ◽  
pp. 100963
Author(s):  
Ignacio Zazzali ◽  
Julieta Gabilondo ◽  
Luana Peixoto Mallmann ◽  
Eliseu Rodrigues ◽  
Mercedes Perullini ◽  
...  

2019 ◽  
Vol 11 (8) ◽  
pp. 2220 ◽  
Author(s):  
Huijts ◽  
de Vries ◽  
Molin

Public acceptability of low-carbon energy projects is often measured with one-off polls. This implies that opinion-shifts over time are not always taken into consideration by decision makers relying on these polls. Observations have given the impression that public acceptability of energy projects increases after implementation. However, this positive shift over time has not yet been systematically studied and is not yet understood very well. This paper aims to fill this gap. Based on two psychological mechanisms, loss aversion and cognitive dissonance reduction, we hypothesize that specifically people who live in proximity of a risky low-carbon technology—a hydrogen fuel station (HFS) in this case—evaluate this technology as more positive after its implementation than before. We conducted a survey among Dutch citizen living nearby a HFS and indeed found a positive shift in the overall evaluation of HFS after implementation. We also found that the benefits weighed stronger and the risks weaker after the implementation. This shift did not occur for citizens living further away from the HFS. The perceived risks and benefits did not significantly change after implementation, neither for citizens living in proximity, nor for citizens living further away. The societal implications of the findings are discussed.


2016 ◽  
Vol 45 (9) ◽  
pp. 1715-1730 ◽  
Author(s):  
Marianna Marino ◽  
Stephane Lhuillery ◽  
Pierpaolo Parrotta ◽  
Davide Sala

2010 ◽  
Vol 20 (1) ◽  
pp. 182-203 ◽  
Author(s):  
Neal R. Norrick

Evaluation constitutes a central feature of personal stories in conversation. Storytellers introduce evaluation into their narratives in various ways, including cases of appropriating assessments offered by their listeners. A storyteller may orient to the content of listener assessments and respond to them in various (positive or negative) ways, suspending the narrative in progress to comment or altering its direction. Shared assessments can lead to higher involvement and increased rapport with consequences for subsequent interaction between the participants. Rejections of listener assessments are much less frequent than ratifications: rejection of a listener assessment expresses the teller’s refusal to have it count as part of the overall evaluation of the story in progress.


2013 ◽  
Vol 30 (06) ◽  
pp. 1350026 ◽  
Author(s):  
ADIEL TEIXEIRA DE ALMEIDA

Using additive models for aggregation of criteria is an important procedure in many multicriteria decision methods. This compensatory approach, which scores the alternatives straightforwardly, may have significant drawbacks. For instance, the Decision Maker (DM) may prefer not to select alternatives which have a very low performance in whatever criterion. In contrast, such an alternative may have the best overall evaluation, since the additive model may compensate this low performance in one of the criteria as a result of high performance in other criteria. Thus, additive-veto models are proposed with a view to considering the possibility of vetoing alternatives in such situations, particularly for choice and ranking problems. A numerical application illustrates the use of such models, with a detailed discussion related to real practical problems. Moreover, the results obtained from a numerical simulation show that it is not so rare for a veto of the best alternative to occur in the additive model. This is of considerable relevance depending on the DM's preference structure.


Sign in / Sign up

Export Citation Format

Share Document