scholarly journals Effect of Statistically Matching Equating Samples for Common‐Item Equating

Author(s):  
Ru Lu ◽  
Sooyeon Kim
Keyword(s):  

2020 ◽  
Vol 10 (4) ◽  
pp. 89-92
Author(s):  
Sravani G ◽  
Linga Naik A ◽  
Kranthi A ◽  
Priyanka G

Plant determined medications remains an important source, particularly in creating countries, to look at genuine sicknesses roughly 62-80% of the total populace although everything depends on conventional medication for the therapy of specific disease. Indeed, plants produce a various scope of bioactive atoms creation them an ironic wellspring of an alternate kind of drugs. There are hardly any reports and utilization of plants in conventional mending by either ancestral individuals or indigenous network. Rejuvenating plants are the wellspring of extraordinary monetary estimation of everywhere on over the world. Nature has the best word on us a rich plant riches, and an enormous number of assorted kinds of plants develop in various pieces of the nation. Homegrown medication is as yet a pillar of around 75 to 85% the entire populace and the significant aspect of the conventional therapy the utilization of the plant extricate and the dynamic constituents. Among the 7000 types of rejuvenating plants perceived everywhere on over the world in excess of 9000, valuable medicinal plants are found in India. Unfortunately, just not many of them are utilized for their therapeutic worth. Around 1500 plants systematically utilize the conventional arrangement of Indian medication. Notwithstanding, the ethanopharmacologist, microbiologist, botanist and common item physicist world over today, is continually still looking for therapeutic adequacy of the plants on the phytochemicals. Along these lines, the quest for the new phytochemical is the foremost significant important to research the primer phytochemical examination to Terminalia catappa and Syzygium jumbolanam.



2013 ◽  
Vol 45 (4) ◽  
pp. 466-480
Author(s):  
Yue LIU ◽  
Hongyun LIU
Keyword(s):  


2019 ◽  
Vol 44 (4) ◽  
pp. 296-310
Author(s):  
Yong He ◽  
Zhongmin Cui

Item parameter estimates of a common item on a new test form may change abnormally due to reasons such as item overexposure or change of curriculum. A common item, whose change does not fit the pattern implied by the normally behaved common items, is defined as an outlier. Although improving equating accuracy, detecting and eliminating of outliers may cause a content imbalance among common items. Robust scale transformation methods have recently been proposed to solve this problem when only one outlier is present in the data, although it is not uncommon to see multiple outliers in practice. In this simulation study, the authors examined the robust scale transformation methods under conditions where there were multiple outlying common items. Results indicated that the robust scale transformation methods could reduce the influences of multiple outliers on scale transformation and equating. The robust methods performed similarly to a traditional outlier detection and elimination method in terms of reducing the influence of outliers while keeping adequate content balance.



1990 ◽  
Vol 50 (1) ◽  
pp. 61-71 ◽  
Author(s):  
Deborah J. Harris ◽  
Michael J. Kolen


2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Eamon Costello ◽  
Jane C. Holland ◽  
Colette Kirwan
Keyword(s):  




Psychometrika ◽  
1987 ◽  
Vol 52 (1) ◽  
pp. 43-59 ◽  
Author(s):  
Michael J. Kolen ◽  
David Jarjoura


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