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Auswahl der wissenschaftlichen Literatur zum Thema „Testing the factors“
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Zeitschriftenartikel zum Thema "Testing the factors"
Bertovic, M., M. Gaal, C. Müller und B. Fahlbruch. „Investigating human factors in manual ultrasonic testing: testing the human factors model“. Insight - Non-Destructive Testing and Condition Monitoring 53, Nr. 12 (01.12.2011): 673–76. http://dx.doi.org/10.1784/insi.2011.53.12.673.
Der volle Inhalt der QuelleMaurissen, Jacques P. J., Brian R. Marable, Amanda K. Andrus und Kenneth E. Stebbins. „Factors affecting grip strength testing“. Neurotoxicology and Teratology 25, Nr. 5 (September 2003): 543–53. http://dx.doi.org/10.1016/s0892-0362(03)00073-4.
Der volle Inhalt der QuelleSalkovskis, Paul M., und Katharine A. Rimes. „Predictive genetic testing: Psychological factors“. Journal of Psychosomatic Research 43, Nr. 5 (November 1997): 477–87. http://dx.doi.org/10.1016/s0022-3999(97)00170-0.
Der volle Inhalt der QuelleKacew, Sam. „Confounding factors in toxicity testing“. Toxicology 160, Nr. 1-3 (März 2001): 87–96. http://dx.doi.org/10.1016/s0300-483x(00)00440-6.
Der volle Inhalt der QuelleAuckland, D. W., J. M. Cooper und B. R. Varlow. „Factors affecting electrical tree testing“. IEE Proceedings A Science, Measurement and Technology 139, Nr. 1 (1992): 9. http://dx.doi.org/10.1049/ip-a-3.1992.0002.
Der volle Inhalt der QuelleBailer, A. John, Sean E. Walker und Kyle J. Venis. „Estimating and testing bioconcentration factors“. Environmental Toxicology and Chemistry 19, Nr. 9 (September 2000): 2338–40. http://dx.doi.org/10.1002/etc.5620190925.
Der volle Inhalt der QuelleCollins, Megan, Jessica Whitaker, Tina Simpson und Latesha Elopre. „Factors Influencing Genital Herpes Testing“. Journal of Adolescent Health 58, Nr. 2 (Februar 2016): S108. http://dx.doi.org/10.1016/j.jadohealth.2015.10.227.
Der volle Inhalt der QuelleSchönbrodt, Felix D., Eric-Jan Wagenmakers, Michael Zehetleitner und Marco Perugini. „Sequential hypothesis testing with Bayes factors: Efficiently testing mean differences.“ Psychological Methods 22, Nr. 2 (Juni 2017): 322–39. http://dx.doi.org/10.1037/met0000061.
Der volle Inhalt der QuelleMenendez, Mariano E., Arjan G. J. Bot, Michiel G. J. S. Hageman, Valentin Neuhaus, Chaitanya S. Mudgal und David Ring. „Computerized Adaptive Testing of Psychological Factors“. Journal of Bone & Joint Surgery 95, Nr. 20 (Oktober 2013): e149. http://dx.doi.org/10.2106/jbjs.l.01614.
Der volle Inhalt der QuelleFosten, Jack, und Daniel Gutknecht. „Testing Nowcast Monotonicity with Estimated Factors“. Journal of Business & Economic Statistics 38, Nr. 1 (18.06.2018): 107–23. http://dx.doi.org/10.1080/07350015.2018.1458623.
Der volle Inhalt der QuelleDissertationen zum Thema "Testing the factors"
Troost, Jan J. „Factors influencing laboratory vibratory compaction“. Master's thesis, University of Cape Town, 1987. http://hdl.handle.net/11427/17651.
Der volle Inhalt der QuelleThe thesis consists of a literature review and a limited experimental investigation in a soils laboratory. The objective of the literature review is to determine what standard laboratory test methods based on vibration exist for the control of compaction, to what soil types these tests are applicable and what the factors are which affect laboratory vibratory compaction. The study revealed that extensive research has been carried out in the USA and Europe, where standard laboratory compaction tests exist for the determination of the maximum dry density of cohesionless, free-draining soil. The US methods are based on the use of a vibratory table, while the European practice is based on the use of a vibratory tamper. No standard tests appear to exist for soil exhibiting cohesion, though limited research has been carried out in the USA into the behaviour of such soils under laboratory vibratory compaction. The factors; frequency, amplitude, mould size and shape surcharge intensity and manner of application, soil type, time of vibration, number of layers and moisture content are all reported to have an effect on the maximum dry density achievable. It has been recognised that significant interaction occurs between the factors affecting vibratory compaction, but the extent of the interaction appears to be only partly understood. The objective of the limited experimental program was to determine whether a specific graded crushed stone could be compacted to Modified AASHTO maximum dry density with a laboratory vibratory compaction technique using a vibratory table, and how this could best be achieved. The effects on dry density of changing the frequency, the time of vibration, mould size, surcharge pressure, grading and moisture content were investigated. It is concluded that the graded crushed stone in question can be compacted to Mod. AASHTO maximum dry density but that before reliable reproducible results can be achieved with this type of test further work is necessary. Such research should be aimed at investigating the interaction effect between the amplitude of vibration, the soil type and the type and intensity of the applied surcharge pressure.
Clerke, Anita. „FACTORS INFLUENCING GRIP STRENGTH TESTING IN TEENAGERS“. University of Sydney, 2006. http://hdl.handle.net/2123/3553.
Der volle Inhalt der QuelleThe aims of the Thesis were: to investigate and quantify the factors influencing the production of maximum isometric grip strength force in a sample of Australian teenagers when using JamarTM-like handgrip dynamometers; to determine the reliability of this measure over long and short retest intervals; to establish a database of anthropometric and strength values for this group and prediction equations for premorbid strengths to aid assessment of recovery in those with upper limb pathologies. The history of these handgrip dynamometers demonstrates that they have been employed in one form or another for over three hundred years and are still widely used today in hand rehabilitation and medical examinations. Many new types of dynamometers have been constructed subsequent to the ubiquitous JamarTM and have all been briefly reviewed here. Handedness (dominance) was thought to be a possible factor influencing grip strength performance and was later evaluated. But first, the Edinburgh Handedness Inventory was tested with 658 teenagers and 64 adults and confirmed to be a valid tool for assessing handedness. Its validity was improved by substituting the tasks of sweeping and opening the lid of a box for hammering and use of a screwdriver. Its excellent reliability (ICC = .78, p < 0.01) was confirmed with 45 teenagers and 45 adults. There were 235 teenagers who performed maximal isometric grip strength tests and from the results a local database was created. It was confirmed that the grip strength difference in males and females becomes significant after the age of 13 years, and that the average teenaged male is stronger than the average teenaged female by 11.2 Kg force (p < .01). Height, weight, BMI, hand dimensions, past upper limb injuries, degrees of handedness and exercise levels were measured and compared with known norms to establish that the grip strength tested sample of teenagers was representative of urban teenagers in Australia. The influence of handedness on maximal grip strength in dominant and non-dominant hands was unable to be completely ascertained due to the vast majority of the sample of teenagers being right-handed. Only 13 of the 235 teenagers used their left hand for most tasks, with another 20 using their left hands for a small majority of tasks. There was a grip strength bias towards the dominant hand of 2.63 kg force (p < .01). The most accurate way to predict the grip strength of one hand is by knowing the grip strength of the other hand. Prediction models found that 90% (R2 adj .902) and 70% (R2adj .702) of the variance in one hand could be accounted for by the grip strength of their other hand for male and female teenagers, respectively. Prediction equations were also created to assist in estimating the pre-morbid grip strength of teenagers suffering from bilateral hand injuries. If for the males, measurements for height and hand surface area were entered into these models, the grip strength of the dominant and non-dominant hands could be estimated with 62.6 and 63.5% of the variance between the real and predicted scores accounted for, respectively. For the females the prediction models using height and hand surface area could only account for 33.9 and 42.8% of the variances, with no other independent variables improving the prediction equations. The reliability of the maximal grip strength performance of 154 of these teenagers was retested after one or four weeks. A number of sub-group permutations were created for age, gender, retest time interval and handedness groups. The measures of grip strength for males were highly reliable with ICC (3,1) values ranging from .91 to .97. These measures were significantly higher than that obtained from the females, where reliability values ranged from .69 to .83. Handedness played a significant part in grip strength reliability. The dominant hand of right-handed teenagers achieved an ICC (3,1) of .97, as contrasted with the non-dominant hand of left-handers who attained a very poor ICC (3,1) of .27. The shape of the hands of the males did not influence their grip strength or their reliability values, which ranged from .954 to .973. The shape of female hands did not affect their ability to generate maximal grip strength, only its reliability. The females with hands shaped squarer-than-average had mean grip strength reliability values of ICC (3,1) at only .48, in contrast to those with longer-than-average hands who achieved a mean ICC (3,1) of .92. The handle shape of the dynamometer may disadvantage square-handed females, and this should be further investigated.
Balkhyour, Mansour. „Factors that affect respirator fit-testing programs“. Diss., The University of Arizona, 2004. http://hdl.handle.net/10150/289239.
Der volle Inhalt der QuelleAnderson, Jeffrey Ryan. „Understanding Contextual Factors in Regression Testing Techniques“. Diss., North Dakota State University, 2016. http://hdl.handle.net/10365/25547.
Der volle Inhalt der QuelleGrobler, Hermanus Johannes Fourie. „Veldram performance testing of dorper rams in Namibia : performance testing, progency testing and factors influencing sale price of rams“. Thesis, Nelson Mandela Metropolitan University, 2010. http://hdl.handle.net/10948/1545.
Der volle Inhalt der QuellePickard, Robert K. L. „FACTORS ASSOCIATED WITH ANONYMOUS HIV TESTING AT A COMMUNITY-BASED TESTING SITE IN COLUMBUS, OH“. The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250005469.
Der volle Inhalt der QuelleEichenhofer, David J. „Auditory and visual factors of the Kaufman Assessment Battery for Children : a confirmatory factor analysis“. Virtual Press, 1987. http://liblink.bsu.edu/uhtbin/catkey/514707.
Der volle Inhalt der QuelleArunvipas, Pipat. „Milk urea nitrogen, quality control of testing, individual cow factors, and correlations with bulk tank testing“. Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ63255.pdf.
Der volle Inhalt der QuelleSampson, Brandi J. „Factors That Influence HIV Testing Among African American College Women“. ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/1863.
Der volle Inhalt der QuelleRobey, Alison Marie. „The Benefits of Testing| Individual Differences Based on Student Factors“. Thesis, University of Maryland, College Park, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10286129.
Der volle Inhalt der QuelleThe testing effect, the notion that retrieval practice compared to restudying information leads to greater and longer retention, is one of the most robust findings in cognitive science. However, not all learners experience a benefit from retrieval practice. Many manipulations that influence the benefits of the testing effect have been explored, however, there is still much to learn about potential individual differences in the benefits of retrieval practice over restudy. As the testing effect grows in popularity and increasing numbers of classrooms begin implementing retrieval practice, it is essential to understanding how students’ individual differences and cognitive abilities contribute to the effect. For my dissertation, I explore how students’ cognitive abilities, specifically, episodic memory, general fluid intelligence, and strategy use, relate to the benefit of retrieval practice. In Study 1, I developed a new measure to simultaneously capture two aspects of strategy use: variation in what strategies learners use and variation in how learners use strategies. In Study 2, I examine how these two types of strategy use, along with episodic memory and general fluid intelligence can be used to predict the magnitude of the testing effect. Converging evidence from multiple analyses suggests variation in how learners use strategies was the only individual difference to influence the benefit learners receive from retrieval practice. More specifically, learners who are less adaptive and flexible in their strategy use show a greater benefit than more skilled strategy users. These findings have implications both for improving existing theories of the mechanisms of the testing effect and for determining how to best incorporate retrieval practice into classroom settings.
Bücher zum Thema "Testing the factors"
Charlton, Samuel G., und Thomas G. O'Brien. Handbook of human factors testing and evaluation. 2. Aufl. Mahwah, NJ: Lawrence Erlbaum Associates, 2002.
Den vollen Inhalt der Quelle findenP, Enderwick Thomas, Hrsg. Human factors in system design, development, and testing. Mahwah, N.J: Lawrence Erlbaum Associates, 2002.
Den vollen Inhalt der Quelle findenMelander, John M. Factors affecting water penetration of masonry walls. [Skokie, Ill.]: Portland Cement Association, 1992.
Den vollen Inhalt der Quelle findenTirre, William C. Knowledge and ability factors underlying simple learning by accretion. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1989.
Den vollen Inhalt der Quelle findenFowkes, A. H. R. Factors influencing the performance of bolted timber joints. Judgeford [N.Z.]: Building Research Association of New Zealand, 1986.
Den vollen Inhalt der Quelle findenMoses, Fred. Calibration of load factors for LRFR bridge evaluation. Washington, D.C: National Academy Press, 2001.
Den vollen Inhalt der Quelle findenKyllonen, Patrick C. Role of cognitive factors in the acquisition of cognitive skill. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1990.
Den vollen Inhalt der Quelle findenRoger, Green. Factors affecting the long term strength of compacted Beaumont clay. Austin, Tex: The Center, 1986.
Den vollen Inhalt der Quelle findenEstevadeordal, Antoni. Testing trade theory in Ohlin's time. Cambridge, MA: National Bureau of Economic Research, 2002.
Den vollen Inhalt der Quelle findenNoonan, Brian. Factors affecting oral language development, kindergarten to grade 2 /By Brian Noonan. Regina, Sask: Saskatchewan School Trustees Association, Research Centre, 1991.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Testing the factors"
Lewis, James R. „Usability Testing“. In Handbook of Human Factors and Ergonomics, 1275–316. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0470048204.ch49.
Der volle Inhalt der QuelleLewis, James R. „Usability Testing“. In Handbook of Human Factors and Ergonomics, 1267–312. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118131350.ch46.
Der volle Inhalt der QuelleSangwine, S. J. „Environmental factors and testing“. In Electronic Components and Technology, 158–72. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-6934-7_10.
Der volle Inhalt der QuelleBerardesca, Enzo. „Factors Influencing Measurements“. In Practical Aspects of Cosmetic Testing, 89–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-05067-1_10.
Der volle Inhalt der QuelleBerardesca, Enzo, und Norma Cameli. „Factors Influencing Measurements“. In Practical Aspects of Cosmetic Testing, 91–101. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44967-4_10.
Der volle Inhalt der QuelleBraddock, Martin. „Methods for Testing Immunological Factors“. In Drug Discovery and Evaluation: Pharmacological Assays, 1–131. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-27728-3_45-1.
Der volle Inhalt der QuelleBraddock, Martin. „Methods for Testing Immunological Factors“. In Drug Discovery and Evaluation: Pharmacological Assays, 2091–203. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-05392-9_45.
Der volle Inhalt der QuelleLee, William, und Vladimir Parpura. „Dissociated Cell Culture for Testing Effects of Carbon Nanotubes on Neuronal Growth“. In Neurotrophic Factors, 261–76. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-536-7_23.
Der volle Inhalt der QuelleTimmerman, Marieke E., Urbano Lorenzo-Seva und Eva Ceulemans. „The Number of Factors Problem“. In The Wiley Handbook of Psychometric Testing, 305–24. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781118489772.ch11.
Der volle Inhalt der QuellePrager, Thomas C. „Essential Factors in Testing for Glare“. In Glare and Contrast Sensitivity for Clinicians, 33–44. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3242-1_4.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Testing the factors"
Greenwood, Kristyn, Kelly Braun und Suzy Czarkowski. „Competitive testing“. In CHI98: ACM Conference on Human Factors and Computing Systems. New York, NY, USA: ACM, 1998. http://dx.doi.org/10.1145/286498.286834.
Der volle Inhalt der QuelleTaipale, O., K. Smolander und H. Kalviainen. „Factors affecting software testing time schedule“. In Australian Software Engineering Conference (ASWEC'06). IEEE, 2006. http://dx.doi.org/10.1109/aswec.2006.27.
Der volle Inhalt der QuelleRen, Huan, Xiaodong Jiang, Zuxin Huang, Hua Xu, Wei Zhong und Ke Li. „Effectible factors in optics profile testing“. In Optical Metrology, herausgegeben von Wolfgang Osten, Christophe Gorecki und Erik L. Novak. SPIE, 2005. http://dx.doi.org/10.1117/12.611795.
Der volle Inhalt der QuelleIsmail, Fatin Filzahti, und Rozilawati Razali. „Contributing factors of successful software testing outsourcing“. In 2014 8th Malaysian Software Engineering Conference (MySEC). IEEE, 2014. http://dx.doi.org/10.1109/mysec.2014.6985988.
Der volle Inhalt der QuelleAyalon, Oshrat, und Eran Toch. „A/P(rivacy) Testing“. In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290607.3312972.
Der volle Inhalt der QuelleRostami, Asreen, Valeriy Savinov und Louise Barkhuus. „Testing in the Field“. In CHI '15: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2702613.2732893.
Der volle Inhalt der QuelleLugmayr, Artur, und Stuart Bender. „Free UX Testing Tool“. In CHI'16: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2898365.2899801.
Der volle Inhalt der QuelleChen, Kevin, und Haoqi Zhang. „Remote Paper Prototype Testing“. In CHI '15: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2702123.2702423.
Der volle Inhalt der QuelleArndt, Mark W., Stephen M. Arndt und Donald Stevens. „Drag Factors From Rollover Crash Testing for Crash Reconstructions“. In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-65537.
Der volle Inhalt der QuelleBrown, Warren, und Stewart Long. „Factors Influencing Nut Factor Test Results“. In ASME 2017 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/pvp2017-65506.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Testing the factors"
Human Factors Committee, OSAC. Human Factors in Validation and Performance Testing of Forensic Science. Organization of Scientific Area Committees (OSAC) for Forensic Science, Mai 2020. http://dx.doi.org/10.29325/osac.ts.0004.
Der volle Inhalt der QuelleShortlidge, Erin. Testing the Ecological and Physiological Factors Influencing Reproductive Success in Mosses. Portland State University Library, Januar 2000. http://dx.doi.org/10.15760/etd.1950.
Der volle Inhalt der QuelleDoherty, Robert, Michael Williamson, Jana Kesavan, Daryl Jones, Deborah Schepers und Victor Arca. Collective Protection Factors Methodology Development Using High Concentration Polydisperse Inert Aerosols: Results of FY09 Testing. Fort Belvoir, VA: Defense Technical Information Center, April 2012. http://dx.doi.org/10.21236/ada560476.
Der volle Inhalt der QuelleReese, Robert, Robert Reese, Sean Fournier und Mark Allen. Testing Minimum Detectable Activity of Whole-Body Counting System in the Presence of Interfering Factors. Office of Scientific and Technical Information (OSTI), Juni 2018. http://dx.doi.org/10.2172/1815351.
Der volle Inhalt der QuelleAng, Andrew, und Dennis Kristensen. Testing Conditional Factor Models. Cambridge, MA: National Bureau of Economic Research, November 2011. http://dx.doi.org/10.3386/w17561.
Der volle Inhalt der QuelleFollett, Jordan R. Cone Penetrometer N Factor Determination Testing Results. Office of Scientific and Technical Information (OSTI), März 2014. http://dx.doi.org/10.2172/1129801.
Der volle Inhalt der QuelleGilsinn, Jim, Kang Lee, John Michaloski, Fred Proctor und Eugene Song. Factory Equipment Network Testing Framework: Concept, Requirements, and Architecture. Gaithersburg, MD: National Institute of Standards and Technology, September 2012. http://dx.doi.org/10.6028/nist.tn.1755.
Der volle Inhalt der QuelleWeiss, W. Jason, Chunyu Qiao, Burkan Isgor und Jan Olek. Implementing Rapid Durability Measure for Concrete Using Resistivity and Formation Factor. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317120.
Der volle Inhalt der QuelleGilsinn, Jim, Kang Lee, John Michaloski, Fred Proctor und Eugene Song. Factory Equipment Network Testing Framework: Universal Client Application, Application Programming Interface. Gaithersburg, MD: National Institute of Standards and Technology, September 2012. http://dx.doi.org/10.6028/nist.tn.1754.
Der volle Inhalt der QuelleUhland, Gary. Beyond difference scores : testing models of speed of information-processing using confirmatory factor analysis. Portland State University Library, Januar 2000. http://dx.doi.org/10.15760/etd.5717.
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