Academic literature on the topic 'Validation of a scale'
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Journal articles on the topic "Validation of a scale"
Husna, Aftina Nurul, and Nur Akmal. "CONSTRUCT VALIDATION OF ENTREPRENEURIAL CHARACTER SCALE." Jurnal Psikologi 19, no. 4 (November 17, 2020): 323–42. http://dx.doi.org/10.14710/jp.19.4.323-342.
Full textBadgujar, Preetika, and Sophia Gir. "Validation of Scale Measuring Coping Strategies of Adults." Indian Journal of Applied Research 4, no. 6 (October 1, 2011): 238–39. http://dx.doi.org/10.15373/2249555x/june2014/74.
Full textGonzález-Cárdenas, Laura Mariel, and Gloria María Rosales-Solís. "Validation and Transcultural Adaptation of Hemangiomas Severity Scale." Dermatology and Dermatitis 5, no. 2 (October 21, 2020): 01–03. http://dx.doi.org/10.31579/2578-8949/068.
Full textKhodadady, Ebrahim. "A Scripture-Specific Religious Orientation Scale: Development and Validation." Psychology and Mental Health Care 4, no. 4 (July 10, 2020): 01–13. http://dx.doi.org/10.31579/2637-8892/050.
Full textPatrick, Harold Andrew, and Jacqueline Kareem. "Development and Validation of Work Environment Services Scale (WESS)." Central European Management Journal 29, no. 2 (June 15, 2021): 98–120. http://dx.doi.org/10.7206/cemj.2658-0845.47.
Full textGermann, Micha, and Fernando Mendez. "Dynamic scale validation reloaded." Quality & Quantity 50, no. 3 (March 27, 2015): 981–1007. http://dx.doi.org/10.1007/s11135-015-0186-0.
Full textYoshida, Hiroki, Seiji Tani, Tomoko Uchida, Jitsuko Masui, Minori Fukushima, and Akira Nakayama. "Development and Validation of the Online Cooperative Learning Anxiety Scale." International Journal of Information and Education Technology 6, no. 5 (2016): 357–64. http://dx.doi.org/10.7763/ijiet.2016.v6.714.
Full textKhodadady, Ebrahim, and Sholeh Bagheri. "Development and Validation of “Divorcing the Self-Incompatible Scale” (DSIS)." Journal of Clinical Research and Reports 10, no. 4 (February 28, 2022): 01–12. http://dx.doi.org/10.31579/2690-1919/230.
Full textWincze, John, Raymond Rosen, Culley Carson, Stanley Korenman, Craig Niederberger, Richard Sadovsky, Lori McLeod, Marc Thibonnier, and Sanjay Merchant. "Erection Quality Scale: Initial scale development and validation." Urology 64, no. 2 (August 2004): 351–56. http://dx.doi.org/10.1016/j.urology.2004.03.041.
Full textHansen, Karolina. "Accent Beliefs Scale (ABS): Scale Development and Validation." Journal of Language and Social Psychology 39, no. 1 (November 15, 2019): 148–71. http://dx.doi.org/10.1177/0261927x19883903.
Full textDissertations / Theses on the topic "Validation of a scale"
Dantas, Rosane Arruda. "Validation of the chart optometric scale." Universidade Federal do CearÃ, 2006. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=403.
Full textThe optopmetric scale is used on oftamologic clinic exam and selecting to determine the visual accuracy. On earlier study, by Dantas (2003), a method was developed for the selections of optoptics for the scale of regionalized images, as a initial proposal. Therefore, in order for this scale to be valid, it is needed to deepen the studies on the relation of the structuring and organizing of these optoptics, with visual accuracy and practical testing. The objectives are: To valid the RAD scale as its capacity to identify children with ocular alterations; Evaluate the co-relation among the coefficients of visual accuracy; Verify the associations among the tests; Verify the agreement of the measurement of the three examiners for the right and left eyes, separately. Study of validation of technology, experimental, random, triple blind, quantitative, developed over the first semester of 2006, having as sample, 246 students, selected on a random simple way. The methodological referential used by the research was adapted from the model of construto test with the theoric, experimental and analytic procedures. For the validation of the RAD scale, statistic coefficients of validating and precision are used. The sensibility for the moments RAD 1 and RAD 2 was respectively 88,6 and 85,7 for the right eye, and 78,6 and 92,9 for the left eye. As to the specificity the values found for the RAD 1 and RAD 2 scales were 95,3 and 98,1 for the right eye, and 97,7 and 98,6 for the left eye. Respectively, the positive predictive value (VP+) on the RAD 1 moment was 75,6 and 81,5 and on the RAD 2 moment, was 88,2 and 89,7; The negative predictive value (VP-) on the RAD 1 moment was 98,0 and 97,3 and on the RAD 2 moment it was 97,6 and 99,1. There was a correlation among the visual accuracy coefficients between âSnellen and RAD 1â, âSnellen and RAD 2â, for the two eyes (p = 0,0001). On the (X2) association were found a coefficient of 151,90 (p = 0,0001) for RAD 1 and 177,07 (p = 0, 0001) fro RAD 2; For the left and right eyes on RAD 1, it was 147,75 (p = 0,0001) and 199.69 (p = 0,0001) on RAD 2 on the right eye. For the concordance analysis in all cases, an Alpha de Cronbach higher than 0,929 was found. The data show significant between the standard criteria used and the scale of images in analysis. According to literature, the validation model in technology establishes rules to be fulfilled. The making of a regionalized chart of figures must fulfill the following rules: Use of the theory of image formation to construct optometric scales. Use of the visual system to characterize the visual learning (step 1); Patterning of the optometric scale as system proprieties. (step 2); Use of dimensionality based on the opticâphysiologic aspects. (step 3); And characterization of the main definitions to be followed on the validation of the images and building of optoptics. (step 4); Demonstration of the operationalization on elaborating optometric scales. (step 5); Analysis of the optoptics of the image scale. (step 6); Planning of the application on the methodology. (step 7); Application and gathering for the measurements of the ocular alterations (step 8); Use of validation techniques (step 9); Use of precision techniques (step 10) and final considerations (step 11). The established rules serve as a starting point to de development of the chart in each region, for each one should have its own characteristic that must be respected.
A escala optomÃtrica à utilizada em exame clÃnico oftalmolÃgico e triagens para determinar a acuidade visual. Em estudo anterior realizado por Dantas (2003), desenvolveu-se um mÃtodo para seleÃÃo dos optÃtipos para escala de figuras regionalizada, como uma proposta inicial. Entretanto, para esta escala ser validada, à necessÃrio aprofundar os estudos na relaÃÃo da estruturaÃÃo e organizaÃÃo desses optÃtipos com a acuidade visual e de testes prÃticos. TÃm-se como objetivos: validar a escala RAD quanto a sua capacidade de identificaÃÃo de crianÃa portadora de alteraÃÃo ocular; avaliar a correlaÃÃo entre os coeficientes da acuidade visual; verificar a associaÃÃo entre os testes; verificar a concordÃncia das medidas dos trÃs examinadores para os olhos direito e esquerdo, separadamente. Estudo de validaÃÃo de tecnologia, experimental, aleatÃrioo, triplo cego, quantitativo, desenvolvido durante o primeiro semestre de 2006 tendo como amostra 246 alunos selecionados de forma aleatÃria simples. O referencial teÃrico metodolÃgico adotado para a pesquisa foi adaptado do modelo de teste de construto contemplando os procedimentos teÃrico, experimental e analÃtico. Para validaÃÃo da escala RAD, utilizaram-se coeficientes estatÃsticos de validade e precisÃo. A sensibilidade para os momentos RAD 1 e RAD 2 foi, respectivamente, 88,6 e 85,7 para o olho direito e 78,6 e 92,9 para o esquerdo. Quanto à especificidade, os valores encontrados para as escalas RAD 1 e RAD 2 foram, respectivamente, 95,3 e 98,1 para o olho direito e 97,7 e 98,6 para o esquerdo. Para os olhos direito e esquerdo, respectivamente, o valor preditivo positivo (VP+) no momento RAD 1 foi de 75,6 e 81,5 e no momento RAD 2 foi de 88,2 e 89,7; jà o valor preditivo negativo (VP-) no momento RAD 1 foi de 98,0 e 97,3 e no momento RAD 2 foi de 97,6 e 99,1. Houve correlaÃÃo entre coeficientes da acuidade visual entre âSnellen e RAD 1â, âSnellen e RAD 2â, para os dois olhos (p = 0,0001). Na associaÃÃo (X2) encontrou-se um coeficiente de 151,90 (p = 0,0001) para RAD 1 e de 177,07 (p = 0,0001) para RAD 2; para o olho direito e para o esquerdo em RAD 1 foi de 147,75 (p = 0,0001) e de 199,69 (p = 0,0001) em RAD 2, no olho esquerdo. Para a anÃlise da concordÃncia em todos os casos encontrou-se um Alfa de Cronbach maior que 0,929. Os dados demonstram significÃncia entre o critÃrio padrÃo utilizado e a escala de figuras em anÃlise. Conforme a literatura, o modelo de validaÃÃo em tecnologia estabelece normas a serem cumpridas. A confecÃÃo de uma tabela de figuras regionalizada exige o cumprimento dos seguintes quesitos: uso da teoria de formaÃÃo da imagem para construÃÃo de escalas optomÃtricas: uso do sistema visual para caracterizar o aprendizado visual (passo 1); padronizaÃÃo da escala optomÃtrica como propriedade do sistema (passo 2); uso da dimensionalidade com base nos aspectos Ãptico-fisiolÃgicos (passo 3); e caracterizaÃÃo das definiÃÃes principais a serem seguidas na validaÃÃo de figuras e construÃÃo de optÃtipos (passo 4); demonstraÃÃo da operacionalizaÃÃo na elaboraÃÃo de escalas optomÃtricas (passo 5); anÃlise dos optÃtipos da escala de figuras (passo 6); planejamento da aplicaÃÃo na metodologia (passo 7); aplicaÃÃo e coleta para aferiÃÃo das alteraÃÃes oculares (passo 8); uso de tÃcnicas de validaÃÃo (passo 9); uso de tÃcnicas de precisÃo (passo 10) e consideraÃÃes finais (passo 11). As regras estabelecidas servem como ponto de partida para o desenvolvimento da tabela em cada regiÃo, pois cada uma deverà possuir suas caracterÃsticas prÃprias que devem ser respeitadas.
Teshome, Mehari Beyene. "Patent Management: Scale development and validation." Doctoral thesis, Università degli studi di Padova, 2020. http://hdl.handle.net/11577/3425797.
Full textSommario Considerare i brevetti come un aspetto strategico-organizzativo che mira a portare un vantaggio economico e competitivo, in aggiunta al suo valore legale, sta diventando una pratica sempre più consolidata tra professionisti e accademici. In tal senso, la gestione dei brevetti ha un'importanza fondamentale per le imprese, tanto che le aziende di successo sono altrettanto note per la struttura organizzativa ed i loro efficaci processi di gestione dei brevetti. Tuttavia, vi è una richiesta di strumenti di misura olistici, validi e pratici per gestire i brevetti e valutare portafogli brevetti delle aziende. Per colmare questa lacuna, tale lavoro di tesi sviluppa e convalida delle scale di misura con riferimento al processo di gestione brevettuale a livello aziendale. A questo scopo, è stata adottata un’ampiamente conosciuta procedura di sviluppo e validazione di scale di misura strutturata in quattro fasi (i.e. specificare il dominio del costrutto, generare gli item, purificare le scale e finalizzare le scale). Le prime due fasi si concentrano sulla definizione dell’ambito di indagine e sullo sviluppo di scale di misura in questo ambito. A tal fine, è stata effettuata una revisione approfondita della letteratura supportata da un'analisi qualitativa attraverso delle interviste con esperti. Queste analisi hanno permesso di concettualizzare il background teorico dei costrutti oggetto di indagine, il che ha portato a sviluppare un framework di gestione dei brevetti composto da processi core e dimensioni di supporto, al cui interno sono state definite le rispettive attività e gli aspetti organizzativi. Quindi, è stato generato l’insieme di item di misura per ciascuna attività e aspetto organizzativo. Nella terza e quarta fase, sono state effettuate un'analisi fattoriale esplorativa e un'analisi fattoriale confermativa per purificare e validare, rispettivamente, gli item di misura utilizzando due campioni di dati primari raccolti attraverso un sondaggio online inviato alle aziende situate in Paesi dell'Europa meridionale e settentrionale (analisi esplorativa) e paesi dell'Europa centrale (analisi confermativa). I risultati di tali analisi hanno portato ad alcune modifiche al framework iniziale e agli item di misura. Più in particolare, lo studio dimostra che la gestione dei brevetti è composta da cinque processi fondamentali (i.e. generazione di brevetti, freedom to operate, gestione del portafoglio brevetti, sfruttamento e enforcement dei brevetti e intelligence sui brevetti) e due dimensioni di supporto (strategia dei brevetti e organizzazione per la brevettazione). Per ciascun processo principale e dimensione di supporto, sono stati definiti attività e fattori organizzativi (i cosiddetti “fattori”), con i relativi item di misura, dopo aver rimosso alcuni item in base a precisi criteri stabiliti in precedenza. Al fine di supportare ulteriormente la solidità delle scale di misurazione, sono state valutate l'affidabilità e la validità delle scale di misura con appositi test statistici. Questo studio ha implicazioni sia teoriche che pratiche. Dal punto di vista accademico, lo studio estende la ricerca esistente offrendo una concettualizzazione completa e aggiornata delle attività di gestione dei brevetti a livello aziendale, arricchendo in tal modo la letteratura sulla gestione dei brevetti. Inoltre, offre ai ricercatori una base per testare le ipotesi sulle relazioni tra i processi e le dimensioni della gestione dei brevetti e le caratteristiche di output delle imprese (e.g. prestazioni) utilizzando dati reali raccolti dalle aziende. Inoltre, le scale sviluppate in questo studio per ciascun processo core e dimensione di supporto possono anche essere utilizzate separatamente per soddisfare esigenze di ricerca specifiche ed esaminare un aspetto particolare della gestione dei brevetti. Per i manager, lo studio offre un quadro completo sulla gestione brevettuale che può essere utilizzato come strumento di valutazione per analizzare la gestione dei brevetti. Inoltre, la misura dell'attuale livello di gestione dei brevetti può essere utilizzata come base per manager e imprenditori per adottare un atteggiamento proattivo nella gestione brevettuale.
Rosenberg, Kenneth Allen. "Gaming Literacy: Construct Validation and Scale Construction." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3322.
Full textMelick, Sarah. "Development and Validation of a Measure of Algorithm Aversion." Bowling Green State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1585170699327343.
Full textBailey, Tamba-Kuii Masai. "Construct validation of the Internalized Racial Oppression Scale." Atlanta, Ga. : Georgia State University, 2008. http://digitalarchive.gsu.edu/cps_diss/32/.
Full textTitle from title page (Digital Archive@GSU, viewed June 21, 2010) Y. Barry Chung, committee chair; Melissa Alves, Catherine Chang, Phillip Gagne, committee members. Includes bibliographical references (p. 76-81).
Tiffin, Paul Alexander. "Development and validation of the family perceptions scale." Thesis, University of Newcastle upon Tyne, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445632.
Full textAhn, Randall Lee. "Development and validation of the Washington resilience scale /." Thesis, Connect to this title online; UW restricted, 1991. http://hdl.handle.net/1773/9075.
Full textBailey, Tamba-Kuii Masai. "Construct Validation of the Interalized Racial Oppression Scale." Digital Archive @ GSU, 2008. http://digitalarchive.gsu.edu/cps_diss/32.
Full textRobertson, Joline C. "Virtual team citizenship behaviors| Scale development and validation." Thesis, The University of Wisconsin - Milwaukee, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3563452.
Full textOrganizational citizenship behaviors (OCBs) are the extra-role, voluntary behaviors performed by organization members for the benefit of the organization. These behaviors have been widely studied and several dimensions have been defined. However, the majority of the work on OCBs focuses on traditional organizations where all employees are collocated and can interact on a regular basis. With the changing workplace, employees can now work remotely or across different locations and still be expected to work together. Those employees who are not collocated may not feel the need to benefit the organization, but may feel connected to the team and therefore participate in virtual team citizenship behaviors (VTCBs).
This paper reviews the current OCB literature by defining OCBs, reviewing the empirical literature, and providing a critique of the current literature. Next, a framework for studying VTCBs is developed based on virtual team literature. I define and discuss the differences between VTCBs and OCBs. Next, I develop propositions for assessing construct validity using multiple validation approaches, including convergent, and divergent, and nomological validity. I then propose and conduct three interlocking studies to generate items for the scale (Study 1), to assess the dimensionality and psychometric properties of the scale and establish convergent and divergent validity (Study 2), and to test the proposed nomological model (Study 3). The results of each study and the implications of the studies are discussed.
Christodoulides, George. "E-tail brand equity : scale development and validation." Thesis, University of Birmingham, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.633078.
Full textBooks on the topic "Validation of a scale"
Taillefer, Roger. La validation factorielle du Love-Scale questionnaire. Sudbury, Ont: Département de psychologie, Université Laurentienne, 1988.
Find full text1946-, Börger E., ed. Architecture design and validation methods. Berlin: Springer, 2000.
Find full text1949-, Reghbati Hassan K., ed. Tutorial--VLSI testing & validation techniques. Washington, D.C: IEEE Computer Society Press, 1985.
Find full textGeorge, Christodoulides, and Birmingham Business School, eds. E-tail brand equity: Scale development and validation. Birmingham: Birmingham Business School, 2004.
Find full textBonatis, Georgia D. The TWU motor creativity rating scale: A validation study. Eugene: Microform Publications, College of Human Development and Performance, University of Oregon, 1989.
Find full textThe adolescent anger rating scale: Its initial development and validation. Lewiston, N.Y: Edwin Mellen Press, 2008.
Find full textHawthorne, Graeme. Australian validation of the quality of life in depression scale. Fairfield, Victoria: Monash University, 1996.
Find full textReghbati, Hassan K. VLSI: Testing and validation techniques. Washington, D.C: IEEE Computer Society Press, 1985.
Find full textC, Jordan W., U.S. Nuclear Regulatory Commission. Spent Fuel Project Office., and Oak Ridge National Laboratory, eds. Guide to verification and validation of the SCALE-4 criticality safety software. Washington, DC: Spent Fuel Project Office, Office of Nuclear Material Safety and Safeguards, U.S. Nuclear Regulatory Commission, 1996.
Find full textChristensen, Erik Niels. Plans and specifications for a full-scale towing model validation experiment. Springfield, Va: Available from the National Technical Information Service, 1989.
Find full textBook chapters on the topic "Validation of a scale"
Tatsuoka, Curtis. "Scale Validation." In Encyclopedia of Immigrant Health, 1326–28. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-5659-0_679.
Full textLever, Greg. "Validation Studies." In Large-Scale Quantum-Mechanical Enzymology, 79–94. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19351-9_4.
Full textHaile, Luke, Michael Gallagher, and Robert J. Robertson. "Perceived Exertion Scale Validation." In Perceived Exertion Laboratory Manual, 55–74. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1917-8_6.
Full textSingh, Kamlesh, Mohita Junnarkar, and Jasleen Kaur. "Flow Scale-Construction and Validation." In Measures of Positive Psychology, 71–98. New Delhi: Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-3631-3_4.
Full textQuesnel, Flavien. "Experimental Results and Validation of DVMS." In Scheduling of Large-Scale Virtualized Infrastructures, 113–31. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118790335.ch8.
Full textGryning, S. E. "Meteorological Data for Regional Model Validation." In Air Pollution Processes in Regional Scale, 107–19. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-007-1071-9_12.
Full textPan, Mingwei. "Rating Scale Validation: An MTMM Approach." In Nonverbal Delivery in Speaking Assessment, 199–214. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-10-0170-3_7.
Full textPan, Mingwei. "Rating Scale Validation: An MDA Approach." In Nonverbal Delivery in Speaking Assessment, 215–59. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-10-0170-3_8.
Full textShamshad, Mohd, Syed Hameedur Rahman Zaini, and Asif Akhtar. "Sustainable Banking—Scale Development and Validation." In Sustainability in the Built Environment in the 21st Century: Lessons Learned from India and the Region, 119–35. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61891-9_8.
Full textSengpiel, Michael, and Nicole Jochems. "Validation of the Computer Literacy Scale (CLS)." In Human Aspects of IT for the Aged Population. Design for Aging, 365–75. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20892-3_36.
Full textConference papers on the topic "Validation of a scale"
Wang, Kefei, Kamy Sepehrnoori, and John Edwin Killough. "Ultrafine-Scale Validation of Upscaling Techniques." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2005. http://dx.doi.org/10.2118/95774-ms.
Full textDantsoho, Mohammed Aliyu, Abubakar Ado Adamu, Muhammed Yazeed, Nasiru Abdullahi, Kabiru Jinjiri Ringim, and Salisu Umar. "Digital Orientation Scale: Development and Validation." In 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI). IEEE, 2020. http://dx.doi.org/10.1109/icdabi51230.2020.9325678.
Full textHasanati, Nida, and Istiqomah. "Validation of Dark Triad Personality Scale." In Proceedings of the 4th ASEAN Conference on Psychology, Counselling, and Humanities (ACPCH 2018). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/acpch-18.2019.94.
Full textColeby, D. E. "Development of a visual rating scale to aid validations." In IEE Validation of Computational Electromagnetics Seminar. IEE, 2004. http://dx.doi.org/10.1049/ic:20040116.
Full textKirsch, Jared, Nima Fathi, and Joshua Hubbard. "Validation Analysis of Medium-Scale Methanol Pool Fire." In ASME 2022 Verification, Validation, and Uncertainty Quantification Symposium. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/vvs2022-86806.
Full textBarbarà Molinero, Alba, Rosalía Cascón-Pereira, Ana Beatriz Hernández Lara, and Cristina Sancha. "CONSTRUCTION AND VALIDATION OF THE DECIS SCALE." In 10th annual International Conference of Education, Research and Innovation. IATED, 2017. http://dx.doi.org/10.21125/iceri.2017.0248.
Full textCheng, Zhiqing, Joseph Pellettiere, and Nathan Wright. "Multi-Scale Validation of Automobile Impact Modeling." In 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-7127.
Full textCanacci, Victor, Jose Gonsalez, David Spera, and Hal Weaver. "Scale model Icing Research Tunnel validation studies." In 36th AIAA Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1998. http://dx.doi.org/10.2514/6.1998-706.
Full textWright, Natasha C., and Amos G. Winter. "Village-Scale Electrodialysis Desalination: Field Trial Validation." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68410.
Full textLüley, Jakub, Štefan Čerba, Branislav Vrban, Filip Osuský, Vladimír Nečas, and Ján Haščík. "Criticality safety validation of the SCALE system." In 1ST INTERNATIONAL CONFERENCE ON RADIATIONS AND APPLICATIONS (ICRA-2017). Author(s), 2018. http://dx.doi.org/10.1063/1.5048881.
Full textReports on the topic "Validation of a scale"
Wieselquist, William, and Benjamin Betzler. SCALE 6.2.4: Validation Overview. Office of Scientific and Technical Information (OSTI), November 2022. http://dx.doi.org/10.2172/1902803.
Full textCelik, Cihangir, Douglas Peplow, Mathieu Dupont, and Georgeta Radulescu. SCALE 6.2.4 Validation: Radiation Shielding. Office of Scientific and Technical Information (OSTI), November 2022. http://dx.doi.org/10.2172/1902814.
Full textIlas, Germina, Joseph Burns, Briana Hiscox, and Ugur Mertyurek. SCALE 6.2.4 Validation: Reactor Physics. Office of Scientific and Technical Information (OSTI), November 2022. http://dx.doi.org/10.2172/1902818.
Full textSaylor, Ellen Marie, William J. Marshall, Justin B. Clarity, Zia Clifton, and Bradley T. Rearden. Criticality Safety Validation of SCALE 6.2.2. Office of Scientific and Technical Information (OSTI), October 2018. http://dx.doi.org/10.2172/1479759.
Full textMarshall, William BJ J., and Bradley T. Rearden. Criticality Safety Validation of Scale 6.1. Office of Scientific and Technical Information (OSTI), November 2011. http://dx.doi.org/10.2172/1028760.
Full textMarshall, William B. J., and Travis Greene. SCALE 6.2.4 Validation: Nuclear Criticality Safety. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1902815.
Full textManchiraju, Srikant, Ross May, Eundeok Kim, and Frank Fincham. Sustainable Consumption: A Scale Development and Validation. Ames: Iowa State University, Digital Repository, November 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1559.
Full textMarshall, William BJ J., and Bradley T. Rearden. Criticality Safety Validation of SCALE 6.1 (Revised). Office of Scientific and Technical Information (OSTI), February 2013. http://dx.doi.org/10.2172/1061562.
Full textSotorrio, P., Y. Qin, and L. Min. Large Scale Simulation Platform for NODES Validation Study. Office of Scientific and Technical Information (OSTI), April 2017. http://dx.doi.org/10.2172/1358326.
Full textBlanchard, A. Scale 4.4 Validation for the DFS System at SRS. Office of Scientific and Technical Information (OSTI), October 1999. http://dx.doi.org/10.2172/13806.
Full text