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Journal articles on the topic 'Tests'

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Author: Grafiati

Published: 4 June 2021

Last updated: 24 August 2024

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1

Skoog, Donald P. "New Tests, Imperfect Tests, Best Tests." Laboratory Medicine 30, no. 10 (October 1, 1999): 628. http://dx.doi.org/10.1093/labmed/30.10.628.

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2

Couzin, J. "Tests on Tests Urged." Science 318, no. 5853 (November 16, 2007): 1051c. http://dx.doi.org/10.1126/science.318.5853.1051c.

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3

Yushchenko, K. A., E. A. Velikoivanenko, N. O. Chervyakov, G. F. Rozynka, and N. I. Pivtorak. "Finite-element modelling of stress-strain state in weldability tests (PVR-TEST)." Paton Welding Journal 2016, no. 12 (December 28, 2016): 9–12. http://dx.doi.org/10.15407/tpwj2016.12.02.

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4

Gerkin, Richard D. "Stress Tests and Combat Tests." Journal of Occupational and Environmental Medicine 37, no. 4 (April 1995): 520. http://dx.doi.org/10.1097/00043764-199504000-00117.

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5

Griggs, Richard A., and Sarah E. Ransdell. "Misconceptions Tests or Misconceived Tests?" Teaching of Psychology 14, no. 4 (December 1987): 210–14. http://dx.doi.org/10.1207/s15328023top1404_4.

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It was found that taking a psychology course in high school did not improve the performance of college students in an introductory psychology class on a modified version of Vaughan's (1977) misconceptions test. However, college experience did lead to a significant, but not large, improvement. A comparison of our results with those from previous studies, along with an analysis of specific test items, indicated that perhaps the test itself is misconceived.

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6

Greinacher, A., and K. Selleng. "4A.2 HIT update: new tests, old tests, useful tests?" Thrombosis Research 119 (January 2007): S39—S40. http://dx.doi.org/10.1016/s0049-3848(07)70022-1.

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7

Wivagg, Dan. "Tests." American Biology Teacher 52, no. 2 (February 1, 1990): 68–69. http://dx.doi.org/10.2307/4449038.

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8

Ehren, Tom C. "Tests." American Journal of Speech-Language Pathology 2, no. 1 (January 1993): 17–19. http://dx.doi.org/10.1044/1058-0360.0201.17.

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9

GOREK DILEKTASLI, Asli. "Cardiopulmonary Exercise Tests and Field Tests." Güncel Göğüs Hastalıkları Serisi 7, no. 1 (August 5, 2020): 26–38. http://dx.doi.org/10.5152/gghs.2019.003.

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10

Oldham, Jackie. "Statistical tests (Part 2): parametric tests." Nursing Standard 7, no. 44 (July 21, 1993): 28–30. http://dx.doi.org/10.7748/ns.7.44.28.s54.

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11

Neuhäeuser, Markus, and Ludwig A. Hothorn. "Maximum Tests are Adaptive Permutation Tests." Journal of Modern Applied Statistical Methods 5, no. 2 (November 1, 2005): 317–22. http://dx.doi.org/10.22237/jmasm/1162353780.

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12

Beardsley, Tim. "US bomb tests: Radiation tests underestimated?" Nature 318, no. 6046 (December 1985): 502. http://dx.doi.org/10.1038/318502a0.

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13

Schätz, Bernhard, and Christian Pfaller. "Integrating Component Tests to System Tests." Electronic Notes in Theoretical Computer Science 260 (January 2010): 225–41. http://dx.doi.org/10.1016/j.entcs.2009.12.040.

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14

Suter, Glenn W. "Seven-day tests and chronic tests." Environmental Toxicology and Chemistry 9, no. 12 (December 1990): 1435. http://dx.doi.org/10.1002/etc.5620091201.

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15

KUMANDAŞ, Hatice. "High Stake Tests." Journal of Educational Sciences Research 5, no. 2 (October 15, 2015): 63–75. http://dx.doi.org/10.12973/jesr.2015.52.4.

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16

Nakamura, Tadashi, Takashi Nasu, Shin Yoshida, Shuji Koike, Teruaki Nagase, Yumiko Takano, Yasukazu Hozumi, and Masaru Aoyagi. "Diagnostic Significance of Eye Tracking Tests, Optokinetic Nystagmus Tests, and Visual Suppression Tests on Routine ENG Tests." Equilibrium Research 59, no. 1 (2000): 52–59. http://dx.doi.org/10.3757/jser.59.52.

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17

Heiser, David A. "Statistical Tests, Tests of Significance, and Tests of a Hypothesis Using Excel." Journal of Modern Applied Statistical Methods 5, no. 2 (November 1, 2005): 551–66. http://dx.doi.org/10.22237/jmasm/1162355280.

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18

Phinney, Marianne, John W. Oller, Steve Chesarek, and Robert Scott. "Language and Bilingualism: More Tests of Tests." Modern Language Journal 77, no. 2 (1993): 233. http://dx.doi.org/10.2307/328953.

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19

Pain, Michael CF. "Diagnostic Tests: Basic tests of respiratory function." Australian Prescriber 23, no. 01 (February 1, 2016): 10–12. http://dx.doi.org/10.18773/austprescr.2000.010.

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20

Oldham, Jackie. "Statistical tests (part 3): non-parametric tests." Nursing Standard 7, no. 45 (July 28, 1993): 28–30. http://dx.doi.org/10.7748/ns.7.45.28.s40.

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21

Stubbe, Raymond. "Replacing Translation Tests With Yes/No Tests." Vocabulary Learning and Instruction 4, no. 2 (2015): 38–48. http://dx.doi.org/10.7820/vli.v04.2.stubbe.

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Along with personal interviews, individual word translation tests from the target language to the mother tongue are recognized as a reliable method of determining students’ actual lexical knowledge. However, as most English as a foreign language teachers are aware, the marking of these tests can be a laborious task. A far easier vocabulary testing format is the Yes/No (YN) checklist test, which can examine a large number of words while not over-burdening the marker. Pseudowords, which look like real words but do not bear meaning, have been added to the YN format to check for evidence of overestimation of lexical knowledge by test-takers. Four scoring formulae, which adjust YN results according to the number of pseudoword reports, have become established in the literature. Of these, the h-f formula has become recognized as the simplest to use for adjusting YN scores. This study presents a regression-based prediction formula derived from the h-f results in a pilot study, which was then applied to the YN h-f adjustments in a second study (the main study) to predict actual vocabulary knowledge as demonstrated by a meaning recall translation test of the same items. This prediction formula, labeled h-fRF, was compared with another regression-based formula as well as the original h-f formula. Results showed that 54% of the 455 individual h-fRF predictions were within 5% (4.8 of 96 words) of matching translation test scores, and 82% were within 10%, which were better than the other formula predictions. These results may be of interest to classroom teachers as they suggest that by using the h-fRF, the burden of marking translation tests can be reduced by the far easier YN test format.

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22

Kunnan, Antony John, John W. Oller, Steve Chesarek, and Robert Scott. "Language and Bilingualism: More Tests of Tests." Language 70, no. 1 (March 1994): 216. http://dx.doi.org/10.2307/416781.

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23

Van Horn, Royal. "Computer Adaptive Tests and Computer-Based Tests." Phi Delta Kappan 84, no. 8 (April 2003): 567–631. http://dx.doi.org/10.1177/003172170308400804.

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24

Peate, Ian, and Lisa Bennett-Long. "Tests, scans and investigations 1. Blood tests." British Journal of Healthcare Assistants 10, no. 8 (August 2, 2016): 370–73. http://dx.doi.org/10.12968/bjha.2016.10.8.370.

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25

Perkins, Kyle. "Language and bilingualism: More tests of tests." System 21, no. 3 (August 1993): 400–405. http://dx.doi.org/10.1016/0346-251x(93)90033-d.

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26

Craig, William A. "Qualitative susceptibility tests versus quantitative MIC tests." Diagnostic Microbiology and Infectious Disease 16, no. 3 (March 1993): 231–36. http://dx.doi.org/10.1016/0732-8893(93)90115-n.

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27

Bauch, Christopher D. "Tests of Function Versus Tests of Structure." American Journal of Audiology 1, no. 2 (March 1992): 17–18. http://dx.doi.org/10.1044/1059-0889.0102.17.

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28

Bauwens, Bruno, and Sebastiaan A. Terwijn. "Notes on Sum-Tests and Independence Tests." Theory of Computing Systems 48, no. 2 (October 27, 2009): 247–68. http://dx.doi.org/10.1007/s00224-009-9240-4.

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29

Anatolyev, Stanislav, and Grigory Kosenok. "Tests in contingency tables as regression tests." Economics Letters 105, no. 2 (November 2009): 189–92. http://dx.doi.org/10.1016/j.econlet.2009.07.014.

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30

Ali DArwesh, Asst Prof Abdul-Jabbar, and Asst Prof Eman Fathi Yahya (M Lit.). "NORM-REFRENCD TESTS VS CRITERION-REFRENCED TESTS." Al-Adab Journal 1, no. 89 (January 6, 2022): 124–39. http://dx.doi.org/10.31973/aj.v1i89.3501.

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31

Hille, Kathryn, and Yeonsuk Cho. "Placement testing: One test, two tests, three tests? How many tests are sufficient?" Language Testing 37, no. 3 (March 23, 2020): 453–71. http://dx.doi.org/10.1177/0265532220912412.

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Accurate placement within levels of an ESL program is crucial for optimal teaching and learning. Commercially available tests are commonly used for placement, but their effectiveness has been found to vary. This study uses data from the Ohio Program of Intensive English (OPIE) at Ohio University to examine the value of two commercially available tests (the TOEFL ITP and the Michigan EPT) and a locally developed writing test for accurate placement decisions. Placement accuracy was measured in terms of the relationship between test scores and (1) appropriate placement levels for individual students according to their teachers, and (2) student performance in the classes. Findings support the continued use of multiple measures for more accurate placement decisions in the study context. However, the relationship between test scores and student performance, measured by students’ grades in the actual course levels and their success in advancing to a higher course level as additional indicators of the extent to which placement tests provide an accurate indication, was weak when analyzed through multiple regression and cross-tabulation, suggesting that factors other than initial proficiency are primarily determinative of student success when students have been accurately placed.

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32

Yang, Shengping, and Gilbert Berdine. "Normality tests." Southwest Respiratory and Critical Care Chronicles 9, no. 37 (January 28, 2021): 87–90. http://dx.doi.org/10.12746/swrccc.v9i37.805.

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33

Gao, Xiang, Bo Wang, Gregory J. Duck, Ruyi Ji, Yingfei Xiong, and Abhik Roychoudhury. "Beyond Tests." ACM Transactions on Software Engineering and Methodology 30, no. 2 (March 2021): 1–27. http://dx.doi.org/10.1145/3418461.

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Automated program repair is an emerging technology that seeks to automatically rectify program errors and vulnerabilities. Repair techniques are driven by a correctness criterion that is often in the form of a test suite. Such test-based repair may produce overfitting patches, where the patches produced fail on tests outside the test suite driving the repair. In this work, we present a repair method that fixes program vulnerabilities without the need for a voluminous test suite. Given a vulnerability as evidenced by an exploit, the technique extracts a constraint representing the vulnerability with the help of sanitizers. The extracted constraint serves as a proof obligation that our synthesized patch should satisfy. The proof obligation is met by propagating the extracted constraint to locations that are deemed to be “suitable” fix locations. An implementation of our approach (E xtract F ix ) on top of the KLEE symbolic execution engine shows its efficacy in fixing a wide range of vulnerabilities taken from the ManyBugs benchmark, real-world CVEs and Google’s OSS-Fuzz framework. We believe that our work presents a way forward for the overfitting problem in program repair by generalizing observable hazards/vulnerabilities (as constraint) from a single failing test or exploit.

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34

Moore, Randy. "Proficiency Tests." American Biology Teacher 57, no. 5 (May 1, 1995): 260. http://dx.doi.org/10.2307/4449985.

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35

Wetherell, Anthony. "Performance Tests." Environmental Health Perspectives 104 (April 1996): 247. http://dx.doi.org/10.2307/3432646.

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36

Lazzarini, Rosana, Ida Duarte, and Alessandra Lindmayer Ferreira. "Patch tests." Anais Brasileiros de Dermatologia 88, no. 6 (December 2013): 879–88. http://dx.doi.org/10.1590/abd1806-4841.20132323.

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Patch tests were introduced as a diagnostic tool in the late nineteenth century. Since then, they have improved considerably becoming what they are today. Patch tests are used in the diagnostic investigation of contact dermatitis worldwide. Batteries or series previously studied and standardized should be used in patch testing. The methodology is simple, but it requires adequate training for the results to be correctly interpreted and used. Despite having been used for over a century, it needs improvement like all other diagnostic techniques in the medical field.

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37

Mehta, Saurabh P., Kueifu Chang, Cesar Malave, and Amanda McGuire. "Hop Tests." Critical Reviews in Physical and Rehabilitation Medicine 30, no. 2 (2018): 113–15. http://dx.doi.org/10.1615/critrevphysrehabilmed.2018026389.

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38

Ziegel, Eric R., and E. Edgington. "Randomization Tests." Technometrics 40, no. 2 (May 1998): 163. http://dx.doi.org/10.2307/1270665.

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39

Seppa, Nathan. "Forbidden Tests." Science News 161, no. 4 (January 26, 2002): 52. http://dx.doi.org/10.2307/4013050.

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40

Ambrose, Kate. "Joint tests." Emergency Nurse 13, no. 7 (November 2005): 6. http://dx.doi.org/10.7748/en.13.7.6.s13.

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41

Holden, Constance. "Seal Tests." Science 254, no. 5039 (December 20, 1991): 1725. http://dx.doi.org/10.1126/science.254.5039.1725.b.

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42

Sibley, John. "LABORATORY TESTS." Rheumatic Disease Clinics of North America 21, no. 2 (May 1995): 407–28. http://dx.doi.org/10.1016/s0889-857x(21)00445-2.

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43

Guerin, Bernard, and Robert D. Watson. "Skin Tests." Clinical Reviews in Allergy 6, no. 2 (September 1988): 211–27. http://dx.doi.org/10.1007/bf02914939.

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44

McClimens, Alex. "Outside tests." Nursing Standard 25, no. 18 (January 5, 2011): 63. http://dx.doi.org/10.7748/ns.25.18.63.s56.

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45

Gandevia, Bryan. "Spirometrie tests." Medical Journal of Australia 147, no. 2 (July 1987): 102–3. http://dx.doi.org/10.5694/j.1326-5377.1987.tb133282.x.

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46

Crockett, A. J. "Spirometrie tests." Medical Journal of Australia 147, no. 7 (October 1987): 367–68. http://dx.doi.org/10.5694/j.1326-5377.1987.tb133546.x.

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47

Karlsson, Andreas. "Randomization Tests." Journal of the Royal Statistical Society: Series A (Statistics in Society) 171, no. 3 (June 2008): 757–58. http://dx.doi.org/10.1111/j.1467-985x.2008.00538_4.x.

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48

Anderson, Oliver D. "Divisibility tests." International Journal of Mathematical Education in Science and Technology 18, no. 3 (May 1987): 351–63. http://dx.doi.org/10.1080/0020739870180304.

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49

&NA;. "Diagnostic tests." Reactions Weekly &NA;, no. 1026 (November 2004): 9. http://dx.doi.org/10.2165/00128415-200410260-00026.

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50

Krzywinski, Martin, and Naomi Altman. "Nonparametric tests." Nature Methods 11, no. 5 (April 29, 2014): 467–68. http://dx.doi.org/10.1038/nmeth.2937.

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