scholarly journals Development of a Test to Measure the Knowledge Level of Small Tea Growers on Scientific Tea Cultivation Practices

2020 ◽  
pp. 146-151
Author(s):  
Suman Parasar ◽  
Pabitra Kumar Das ◽  
Indrajit Barman ◽  
Kangkana Borah ◽  
Shabnam Sultana
Keyword(s):  
Discrimination Index ◽  
Knowledge Level ◽  
Final Test ◽  
Knowledge Test ◽  
Biserial Correlation ◽  
Cultivation Practices ◽  
Difficulty Index ◽  
Final Selection ◽  
Scientific Technology ◽  
Selection Of

The present study was conducted to construct and standardize a test to measure the knowledge level of small tea growers on scientific technology on tea cultivation. The major steps followed for developing the test were construction of items, primary and final selection of items through difficulty index, discrimination index and biserial correlation. The final test comprised of 24 objective questions, referred to as items. The procedure adopted in the study can also be followed for developing knowledge test on any other aspect.

scholarly journals Construction of Knowledge Test on Large Cardamom Cultivation Practices in Arunachal Pradesh

2019 ◽  
pp. 1-6
Author(s):  
Bai Koyu ◽  
Rajkumar Josmee Singh ◽  
L. Devarani ◽  
Ram Singh ◽  
L. Hemochandra
Keyword(s):  
Item Difficulty ◽  
Item Analysis ◽  
Discrimination Index ◽  
Arunachal Pradesh ◽  
Knowledge Test ◽  
Construction Of Knowledge ◽  
Cultivation Practices ◽  
Difficulty Index ◽  
Final Selection ◽  
Large Cardamom

The knowledge test was developed to measure the knowledge of large cardamom growers. All 32 items were primarily fabricated on the basis of indorsing rational rather than root memorization and discriminate the sound knowledgeable large cardamom growers from the ailing knowledgeable ones.The scores from selected respondents were subjected to item analysis, consisting of item difficulty index and item discrimination index.In the final selection, the scale consisted of 17 items with ranging from 30-80 and discrimination index ranging from 0.30 to 0.55. The reliability of knowledge test being developed was tested by using Split-Half method and it was found to be 0.704.

Knowledge Test Development for Dairy Farmers To Measure Knowledge Level About Scientific Dairy Farming Practices

2019 ◽  
Vol 14 (04) ◽  
Author(s):  
Anupama Jena ◽  
Mahesh Chander ◽  
Sushil K. Sinha
Keyword(s):  
Item Analysis ◽  
Dairy Farming ◽  
Discrimination Index ◽  
Test Reliability ◽  
Knowledge Level ◽  
Farming Practices ◽  
Dairy Farmers ◽  
Knowledge Test ◽  
Level Of Significance ◽  
Difficulty Index

In the present study, a test was developed to measure the knowledge level of dairy farmers about scientific dairy farming. A preliminary set of 87 knowledge items was initially administered to 60 randomly selected dairy farmers for item analysis. The difficulty index and discrimination index was found out, and the items with difficulty index ranging from 30 to 80 and the discrimination index ranging from 0.30 to 0.55 were included in the final format of the knowledge test. A total of 48 items which fulfilled both the criteria were selected for the final format of knowledge test. Reliability of the test through split half method was found out to be 0.386 and the coefficient of correlation value by the test-retest method was 0.452, which was found to be significant at 1% level of significance. Hence, the knowledge test constructed was highly stable, reliable and validated for measuring what it intends to.

scholarly journals Developing an Intellectual Learning Scale to Test Knowledge Level of Kiwi Growers of Arunachal Pradesh on Package of Practices of Kiwi

2019 ◽  
pp. 1-6
Author(s):  
Bai Koyu ◽  
Rajkumar Josmee Singh ◽  
L. Devarani ◽  
Ram Singh ◽  
L. Hemochandra
Keyword(s):  
Item Difficulty ◽  
Item Analysis ◽  
Discrimination Index ◽  
Knowledge Level ◽  
Arunachal Pradesh ◽  
Item Discrimination ◽  
Knowledge Test ◽  
Difficulty Index

The knowledge test was developed to measure the knowledge level of kiwi growers. In all 36 items were predominantly fabricated on the basis of indorsing rational rather than root memorization and to discriminate the sound knowledgeable kiwi growers from the ailing knowledgeable ones. The scores obtained from sample respondents were imperilled to item analysis, embracing of item difficulty index & item discrimination index. In the ultimate selection, the scale consisted of 15 items with difficulty index ranging from 30-80 and discrimination index ranging from 0.30 to 0.55. Split-Half method was employed to check the reliability of knowledge test being developed and it was found to be 0.711.

scholarly journals Development of Cognitive Learning Scale to Test the Knowledge Level of Veterinary Students on ICT

2022 ◽  
Vol 22 (1) ◽  
pp. 142-145
Author(s):  
Subhransu Mohan Nanda ◽  
Keyword(s):  
Item Difficulty ◽  
Item Analysis ◽  
Cognitive Learning ◽  
Discrimination Index ◽  
Knowledge Level ◽  
Knowledge Test ◽  
Veterinary Students ◽  
Cent Level ◽  
Level Of Significance ◽  
Difficulty Index

In the present study, to test the knowledge level of veterinary students on ICT, one hundred and seventy-one items were initially constructed on the basis of promoting thinking rather than rote memorization. It was designed in a manner that could differentiate the well-informed veterinary students from less informed ones. The scores of the respondents were subjects to item analysis to find the item difficulty index and item discrimination index. In the final selection, a total of 34 items with difficulty index between 30 and 80 and discrimination index ranging from 0.30 to 0.55 were selected. The reliability of the knowledge test developed was tested using split half technique. The coefficient of correlation value in split half test was 0.89, which was found to be significant at 1 per cent level of significance. It was found that, the developed knowledge test scale of Veterinary students on ICT was highly stable and can be used for measurement.

scholarly journals Construction of Knowledge Test to Measure Knowledge Level of Apple Growers of Arunachal Pradesh on Package of Practices of Apple

2019 ◽  
pp. 1-6
Author(s):  
Bai Koyu ◽  
Rajkumar Josmee Singh ◽  
L. Devarani ◽  
Ram Singh ◽  
L. Hemochandra
Keyword(s):  
Item Difficulty ◽  
Item Analysis ◽  
Discrimination Index ◽  
Knowledge Level ◽  
Arunachal Pradesh ◽  
Item Discrimination ◽  
Knowledge Test ◽  
Construction Of Knowledge ◽  
Difficulty Index

The knowledge test was developed to measure the knowledge level of apple growers. 32 items were primarily fabricated on the basis of ratifying rational rather than root memorization and to classify the sound erudite apple growers from the ailing erudite ones. The scores obtained from sample respondents were exposed to item analysis, embracing of item difficulty index & item discrimination index. In the ultimate selection, the scale consisted of 22 items with difficulty index ranging from 30-80 and discrimination index ranging from 0.30 to 0.55. To check the reliability of knowledge test being developed Split-Half method was employed and it was found to be 0.701.

Measurements of the Cape Astrometric Survey of the Southern Hemisphere

1978 ◽  
Vol 48 ◽  
pp. 515-521
Author(s):  
W. Nicholson
Keyword(s):  
Southern Hemisphere ◽  
Automatic Measuring ◽  
Measuring Machine ◽  
Final Selection ◽  
Selection Of

SummaryA routine has been developed for the processing of the 5820 plates of the survey. The plates are measured on the automatic measuring machine, GALAXY, and the measures are subsequently processed by computer, to edit and then refer them to the SAO catalogue. A start has been made on measuring the plates, but the final selection of stars to be made is still a matter for discussion.

scholarly journals Recruitment of Employees—Assumptions of the Risk Model

Risks ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 55
Author(s):  
Halina Sobocka-Szczapa
Keyword(s):  
Risk Model ◽  
Model Identification ◽  
Added Value ◽  
Competitive Advantages ◽  
Recruitment Process ◽  
Process Risk ◽  
Model Formation ◽  
Risk Determinants ◽  
Final Selection ◽  
Selection Of

The aim of this article is to present the risk model premises related to worker recruitment. Recruitment affects the final selection of workers, whose activities contribute to corporate competitive advantages. Hiring unfavorable workers can influence the results produced by an organization. This risk mostly affects situations when searching for workers via the external labor market, although it can also affect internal recruitment. Therefore, it is necessary to attempt to identify recruitment risk determinants and classify their meaning in such processes. Model formation has both theoretical and intuitive characteristics. Model dependencies and their characteristics are identified in this paper. We attempted to assess the usability of the risk model for economic praxis. The analyses and results provide a model identification of dependencies between the factors determining a workers recruitment process and the risk which is caused by this process (employing inadequate workers who do not meet the employer’s expectations). The identification of worker recruitment process determinants should allow for practically reducing the risk of employing an inadequate worker and contribute to the reduction in unfavorable recruitment processes. The added value of this publication is the complex identification of recruitment process risk determinants and dependency formulations in a model form.

scholarly journals Sensor, Signal, and Imaging Informatics

2017 ◽  
Vol 26 (01) ◽  
pp. 120-124
Author(s):  
W. Hsu ◽  
S. Park ◽  
Charles Kahn
Keyword(s):  
Medical Informatics ◽  
Scientific Work ◽  
Imaging Informatics ◽  
Sensor Signal ◽  
Imaging Data ◽  
Extensive Search ◽  
Challenges And Opportunities ◽  
Final Selection ◽  
Selection Of

Summary Objective: To summarize significant contributions to sensor, signal, and imaging informatics published in 2016. Methods: We conducted an extensive search using PubMed® and Web of Science® to identify the scientific contributions published in 2016 that addressed sensors, signals, and imaging in medical informatics. The three section editors selected 15 candidate best papers by consensus. Each candidate article was reviewed by the section editors and at least two other external reviewers. The final selection of the six best papers was conducted by the editorial board of the Yearbook. Results: The selected papers of 2016 demonstrate the important scientific advances in management and analysis of sensor, signal, and imaging information. Conclusion: The growing volume of signal and imaging data provides exciting new challenges and opportunities for research in medical informatics. Evolving technologies provide faster and more effective approaches for pattern recognition and diagnostic evaluation. The papers selected here offer a small glimpse of the high-quality scientific work published in 2016 in the domain of sensor, signal, and imaging informatics.

scholarly journals Pre-selection of apple seedlings for partial powdery mildew (Podosphaera leucotricha Ell. et Ev. /Salm./) resistance

2011 ◽  
Vol 50 (No. 2) ◽  
pp. 65-69 ◽  
Author(s):  
J. Blažek
Keyword(s):  
Powdery Mildew ◽  
First Year ◽  
Podosphaera Leucotricha ◽  
Green House ◽  
Healthy State ◽  
The Mean ◽  
Resistant Genotypes ◽  
Different Levels ◽  
Final Selection ◽  
Selection Of

Incidences of powdery mildew were repeatedly evaluated for two years on 1 420 young seedlings of 20 progenies (of different levels of mildew susceptibility) in a green house, and then for 10 years on 642 seedlings in an orchard. Part of the seedlings in the orchard were pre-selected for the characteristic and others not. Except for the first scoring done in the first year, there was no correlation between mildew incidence on individual seedlings in the green house and their mean performance in the orchard. The seedlings with scores above 6 (resistant or tolerant) at the first stage of evaluation in the green house, however, yielded four times more desirable seedlings after final selection in the orchard than the mean of the total. The progenies that had a better healthy state as a whole yielded more partially resistant genotypes than those with low mean scores. Therefore, the progenies that most rapidly develop infestation on the whole lot should be discarded, whereas those that retain a healthy state longer should be subjected to individual selection according to the previous item.

scholarly journals Domains and Measurements of Healthy Aging in Epidemiological Studies: A Review

2018 ◽  
Vol 59 (4) ◽  
pp. e294-e310 ◽  
Author(s):  
Wentian Lu ◽  
Hynek Pikhart ◽  
Amanda Sacker
Keyword(s):  
Healthy Aging ◽  
Well Being ◽  
Epidemiological Studies ◽  
Health Security ◽  
Health Indices ◽  
Security Questions ◽  
Design And Methods ◽  
State Examination ◽  
Final Selection ◽  
Selection Of

Abstract Purpose of the Study Few studies have recommended the essential domains of healthy aging and their relevant measurement to assess healthy aging comprehensively. This review is to fill the gap, by conducting a literature review of domains and measures of healthy aging in epidemiological studies. Design and Methods A literature search was conducted up to March 31, 2017, supplemented by a search of references in all relevant articles in English. We made a final selection of 50 studies across 23 countries or regions. Results Nineteen studies applied Rowe and Kahn’s three standards to assess healthy aging. Thirty-seven studies measured physical capabilities mainly by (instrumental) activities of daily living. Cognitive functions were included in 33 studies. Nineteen of them applied Mini-Mental State Examination (MMSE). Twenty-six studies considered metabolic and physiological health, but they mainly asked the self-reported absence of diseases. Twenty-four studies assessed psychological well-being by employing diverse scales. Questions about participation in social activities were mainly asked to measure social well-being in 22 studies. Sixteen studies considered individuals’ general health status, which was mainly measured by self-rated health. Security questions were asked in five studies. Health behaviors were taken into account by three studies. Fifteen studies either applied SF-12/36 or developed health indices to assess healthy aging. Implications This review summarizes detailed scales or methods that have been used to assess healthy aging in previous epidemiological studies. It also discusses and recommends the essential domains of healthy aging, and the relevant instruments for further epidemiological research to use in the assessment of healthy aging.

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