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Journal articles on the topic 'Values Test'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Blasi, Annabel, Joan Beltran, and Arturo Pereira. "Viscoelastic Test and Fibrinogen Values." Anesthesia & Analgesia 119, no. 6 (2014): 1452–53. http://dx.doi.org/10.1213/ane.0000000000000433.

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2

Jones, Dustin L., and Stephen M. Scariano. "Measuring the variability of data from other values in the set." Teaching Statistics 36, no. 3 (2014): 93–96. http://dx.doi.org/10.1111/test.12056.

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3

Hildreth, Laura A., and Jennifer L. Green. "Using pig die and simulation to explore probability and expected values." Teaching Statistics 38, no. 2 (2016): 67–71. http://dx.doi.org/10.1111/test.12102.

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4

Franck, W. E. "P-values For Discrete Test Statistics." Biometrical Journal 28, no. 4 (1986): 403–6. http://dx.doi.org/10.1002/bimj.4710280405.

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5

McCook, Danny K. "Correlations Between Simple Field Test and Relative Density-Test Values." Journal of Geotechnical Engineering 122, no. 10 (1996): 860–62. http://dx.doi.org/10.1061/(asce)0733-9410(1996)122:10(860).

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6

Okamoto, Yasuharu. "On relationships between test scores and true values for categorical test." Proceedings of the Annual Convention of the Japanese Psychological Association 79 (September 22, 2015): 1AM—059–1AM—059. http://dx.doi.org/10.4992/pacjpa.79.0_1am-059.

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7

Prasad, M., T. M. Spiers, and I. C. Ravenwood. "Target phosphorus soil test values for vegetables." New Zealand Journal of Experimental Agriculture 16, no. 1 (1988): 83–90. http://dx.doi.org/10.1080/03015521.1988.10425619.

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8

CHIBA, YASUHISA, and NOBUHIKO FURUYA. "BIVARIATE NORMAL VALUES OF OPTOKINETIC NYSTAGMUS TEST." Nippon Jibiinkoka Gakkai Kaiho 96, no. 5 (1993): 791–95. http://dx.doi.org/10.3950/jibiinkoka.96.791.

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9

Robertson, Christopher J., and Cristóbal Nico Suárez Guerrero. "An empirical test of Peruvian subcultural values." Cross Cultural Management: An International Journal 16, no. 2 (2009): 215–29. http://dx.doi.org/10.1108/13527600910953946.

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10

Dorea, C. C. Y., and E. S. Miasaki. "Asymptotic test for independence of extreme values." Acta Mathematica Hungarica 62, no. 3-4 (1993): 343–47. http://dx.doi.org/10.1007/bf01874654.

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11

Newson, Roger B. "Frequentist Q-values for Multiple-test Procedures." Stata Journal: Promoting communications on statistics and Stata 10, no. 4 (2011): 568–84. http://dx.doi.org/10.1177/1536867x1001000403.

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12

Newson, Roger B. "Frequentist Q-values for Multiple-test Procedures." Stata Journal: Promoting communications on statistics and Stata 10, no. 4 (2010): 568–84. http://dx.doi.org/10.1177/1536867x1101000403.

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13

MOORE, H. F. "TEST RESULTS AND SERVICE VALUES OF MATERIALS." Journal of the American Society for Naval Engineers 44, no. 4 (2009): 559–65. http://dx.doi.org/10.1111/j.1559-3584.1932.tb04281.x.

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14

Shafer, Glenn, Alexander Shen, Nikolai Vereshchagin, and Vladimir Vovk. "Test Martingales, Bayes Factors and p -Values." Statistical Science 26, no. 1 (2011): 84–101. http://dx.doi.org/10.1214/10-sts347.

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15

Kadar, Nicholas. "Measures of test performance and predictive values." American Journal of Obstetrics and Gynecology 163, no. 4 (1990): 1374–75. http://dx.doi.org/10.1016/0002-9378(90)90737-r.

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16

Castro-Conde, Irene, and Jacobo de Uña-Álvarez. "Adjustedp-values for SGoF multiple test procedure." Biometrical Journal 57, no. 1 (2014): 108–22. http://dx.doi.org/10.1002/bimj.201300238.

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17

Chen, H. F., and S. S. Q. Hee. "Ketone EC50 Values in the Microtox Test." Ecotoxicology and Environmental Safety 30, no. 2 (1995): 120–23. http://dx.doi.org/10.1006/eesa.1995.1014.

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18

Robert Odek and Gordon Opuodho. "F-test and P-values: A synopsis." Journal of Management and Science 13, no. 2 (2023): 59–61. http://dx.doi.org/10.26524/jms.13.22.

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F-tests are a ratio of variances. F-tests are utilized in comparison of two variances, Analysis of Variance (ANOVA), and multiple regression. On the other hand, P-values depict the extent to which data fit in the design projected by the hypothesis so that P-value test all the assumptions contained on how the data was produced. This article offers a synopsis of what exactly is F-test and P-values, and their usage.

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19

Srića, Velimir. "Transformative Leadership: In Search of TEST Values." Science, Art and Religion 1, no. 2-4 (2023): 149–55. http://dx.doi.org/10.5005/jp-journals-11005-0024.

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20

Heaven, Patrick C. L. "Human values and personality dimensions: A test of the social values inventory." Personality and Individual Differences 15, no. 3 (1993): 307–12. http://dx.doi.org/10.1016/0191-8869(93)90221-n.

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21

Das, Jayanta Kumar, Saikat Deb, and Biswadeep Bharali. "Prediction of Aggregate Impact Values and Aggregate Crushing Values Using Light Compaction Test." Journal of Applied Engineering Sciences 11, no. 2 (2021): 93–100. http://dx.doi.org/10.2478/jaes-2021-0012.

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Abstract Crushing test and Impact test are very important to estimate strength and toughness characteristics of the road aggregate. Extensive experimental procedures and different sets of equipment are required for these types of aggregate testing. Therefore, the objective of the study is to investigate whether the light compaction test can be a suitable alternative for both these tests. For this experimental procedure, 60 aggregate samples were collected from different rock quarries spread along North-eastern states of India. The specifications of the aggregate samples are kept similar for al

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22

Chakrabartty, Satyendra. "Item Deletions Based on Difficulty Values and Discriminating Values." Edukasiana: Jurnal Inovasi Pendidikan 2, no. 4 (2023): 285–93. http://dx.doi.org/10.56916/ejip.v2i4.455.

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Background: Deletion of items from MCQ tests or Likert type scales may be necessary due to various reasons. Methods: Considering entire data the paper gives new measures of difficulty and discriminating value of items as well as test along with their relationships including relationship with test reliability (. Discriminating value of test () and item ( are expressed as coefficient of variation (CV) of test scores and item scores respectively. Results: Non-linear relationship between and derived. As number of persons giving correct answer to an item increases, curve increases and curve decreas

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23

lacono, G., A. Carroccio, F. Cavataio, et al. "Steatocrit Test." Journal of Pediatric Gastroenterology and Nutrition 11, no. 1 (1990): 53–57. http://dx.doi.org/10.1002/j.1536-4801.1990.tb10058.x.

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SummaryIn order to define the normal values of steat‐ocrit during the first 3 months of life and the normal correlation between fecal fat content and steatocrit values, 60 full‐term healthy unweaned infants (30 bottle‐fed, 15 breast‐fed, and 15 mixed‐fed) were studied. The steatocrit micromethod was performed in these babies at 7, 14, 21, 28, 45, and 90 days after birth. Steatorrhea often occurs during the first month and then decreases, as shown by the fall in the steatocrit curve from 7th to 28th day in our subjects; at 45 days, few babies have steatorrhea. The 90th percentile profile of ste

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24

Benešová, Lucie, and Jan Valentin. "Influence of selected test parameters on measured values during the MSCR test." IOP Conference Series: Materials Science and Engineering 236 (September 2017): 012016. http://dx.doi.org/10.1088/1757-899x/236/1/012016.

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25

Perla, Beatriz Fernández-Oliva, Miguel Güemes-Esperón Alejandro, and Dunia Delgado-Dapena Martha. "Search-based reduction model for unit testing." Revista Facultad de Ingeniería, Universidad de Antioquia 1, no. 109 (2022): 35–47. https://doi.org/10.17533/udea.redin.20221098.

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Software tests are fundamental in the reliability and quality of systems, contributing to their positioning in the market. Generating test data is a critical task, as exhaustive testing is costly in time and effort. An adequate design of the test cases, which contemplates a selection of adequate values, can detect a high number of defects. The effectiveness of the test cases is measured according to the number of errors they managed to detect. However, the proposals that address these issues with the use of heuristic algorithms focus on the reduction of generation time and different coverage c

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26

Mamta, Barman. "ENVIRONMENTAL PROBLEMS AND ENVIRONMENTAL VALUES." International Journal of Research - GRANTHAALAYAH 3, no. 9 (Special Edition) (2017): 1–3. https://doi.org/10.5281/zenodo.852147.

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The real wealth of any nation and any region lies in the wellbeing of its people. The three main problems in the world, are known as three-P-Population, Poverty, and Pollution. Pollution is the main problem of the modern world. The technological inventions and progress has over powered nature, it has also resulted in the thoughtless exploitation of nature. Awareness by educating everyone, to value the nature and maintain the natural environment are important need. A study was conducted a 50 private and govt. female school students to measure the environmental values. Environmental Value Test (

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27

Lance, Michael. "New Critical Values for the Winsorized t-Test." British Journal of Applied Science & Technology 4, no. 1 (2014): 113–26. http://dx.doi.org/10.9734/bjast/2014/5537.

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28

SUZUKI, Masayuki. "Relation between values of test and leaning strategy." Proceedings of the Annual Convention of the Japanese Psychological Association 74 (September 20, 2010): 1AM060. http://dx.doi.org/10.4992/pacjpa.74.0_1am060.

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29

Khammari Nystrom, Fatine, Gunnar Petersson, Olof Stephansson, Stefan Johansson, and Maria Altman. "Diagnostic values of the femoral pulse palpation test." Archives of Disease in Childhood - Fetal and Neonatal Edition 105, no. 4 (2019): 375–79. http://dx.doi.org/10.1136/archdischild-2019-317066.

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ObjectivesTo calculate diagnostic values of the femoral pulse palpation to detect coarctation of the aorta or other left-sided obstructive heart anomalies in newborn infants.DesignPopulation-based cohort study.SettingStockholm-Gotland County 2008–2012.PatientsAll singleton live-born infants without chromosomal trisomies, at ≥35 gestational weeks, followed-up until 1–2 years of age.Main outcome measuresDiagnostic values and ORs for the femoral pulse test and subsequent diagnosis of coarctation of the aorta or left-sided obstructive heart malformation.ResultsAmong the 118 592 included infants, 4

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30

Chin, Chee-Fang, Leonard W. Yip, Danny C. Sim, and Anna C. Yeo. "Rarebit perimetry: normative values and test-retest variability." Clinical & Experimental Ophthalmology 39, no. 8 (2011): 752–59. http://dx.doi.org/10.1111/j.1442-9071.2011.02555.x.

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31

Maritz, J. S. "A PERMUTATION PAIRED TEST ALLOWING FOR MISSING VALUES." Australian Journal of Statistics 37, no. 2 (1995): 153–59. http://dx.doi.org/10.1111/j.1467-842x.1995.tb00649.x.

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32

Oliveira, Ricardo B., Lauro C. Vianna, Djalma R. Ricardo, and Claudio G. Araújo. "Reference Values for the 4 Seconds Exercise Test." Medicine & Science in Sports & Exercise 39, Supplement (2007): S284. http://dx.doi.org/10.1249/01.mss.0000274094.00218.2e.

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33

Jung, Se-Hoon. "Standard Research on Uncorrected Visual Acuity Test Values." Journal of Korean Ophthalmic Optics Society 25, no. 2 (2020): 113–18. http://dx.doi.org/10.14479/jkoos.2020.25.2.113.

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34

van Berkum, E. E. M., H. N. Linssen, and D. A. Overdijk. "New critical values for the average equivalence test." Journal of Statistical Planning and Inference 121, no. 1 (2004): 21–35. http://dx.doi.org/10.1016/s0378-3758(03)00108-3.

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35

Pane, Chiara, Teresa Costabile, Adriana Salvati, et al. "Adult normative values for the PATA Rate Test." Journal of Neurology 265, no. 5 (2018): 1102–5. http://dx.doi.org/10.1007/s00415-018-8820-0.

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36

Lee, Chun-Jin. "Generalized minimum χ2 test for the extreme values". Korean Journal of Computational & Applied Mathematics 1, № 1 (1994): 43–48. http://dx.doi.org/10.1007/bf02943048.

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37

Probst, Vanessa S., Nidia A. Hernandes, Denilson C. Teixeira, et al. "Reference values for the incremental shuttle walking test." Respiratory Medicine 106, no. 2 (2012): 243–48. http://dx.doi.org/10.1016/j.rmed.2011.07.023.

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38

Feltovich, Nick. "Critical Values for the Robust Rank-Order Test." Communications in Statistics - Simulation and Computation 34, no. 3 (2005): 525–47. http://dx.doi.org/10.1081/sac-200068395.

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39

Monteiro, Débora Pantuso, Raquel Rodrigues Britto, Guilherme Augusto de Freitas Fregonezi, Fernando Augusto Lavezzo Dias, Marconi Gomes da Silva, and Danielle Aparecida Gomes Pereira. "Reference values for the bilateral heel-rise test." Brazilian Journal of Physical Therapy 21, no. 5 (2017): 344–49. http://dx.doi.org/10.1016/j.bjpt.2017.06.002.

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40

Cope, Elizabeth B., and Jayne H. Antony. "Normal values for the two-point discrimination test." Pediatric Neurology 8, no. 4 (1992): 251–54. http://dx.doi.org/10.1016/0887-8994(92)90360-b.

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41

Shava, Upender, Anshu Srivastava, Amrita Mathias, Surender Kumar Yachha, and Ujjal Poddar. "Nutrient drink test: Normative values in Indian children." Indian Journal of Gastroenterology 36, no. 5 (2017): 405–10. http://dx.doi.org/10.1007/s12664-017-0794-9.

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42

Heston, Thomas F. "Standardized Predictive Values." Journal of Magnetic Resonance Imaging 39, no. 5 (2014): 1338. https://doi.org/10.1002/jmri.24564.

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The predictive value of a diagnostic test is highlydependent upon disease prevalence. Disease preva-lence, however, varies widely from patient to patient.Since patients in whom the diagnosis is unclear arethe ones most likely to get a diagnostic test, it is help-ful to standardize the predictive value of a diagnostictest to a disease prevalence of 50%. Even more usefulwould be to present predictive values standardized todisease prevalences of 25%, 50%, and 75%

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43

Fuente, Adrian, Bradley McPherson, Lai Peng Chiang, and Christina Heung Tang. "Cantonese Dichotic Digit Test: Test Creation and Normative Values for Children and Adults." Asia Pacific Journal of Speech, Language and Hearing 10, no. 2 (2007): 105–22. http://dx.doi.org/10.1179/136132807805297602.

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44

Habiger, Joshua D. "Multiple test functions and adjusted p-values for test statistics with discrete distributions." Journal of Statistical Planning and Inference 167 (December 2015): 1–13. http://dx.doi.org/10.1016/j.jspi.2015.06.003.

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45

Wang, Sying-Jyan, Kuan-Ting Yeh, and Katherine Shu-Min Li. "Exploiting distribution of unknown values in test responses to optimize test output compactors." Integration 65 (March 2019): 389–94. http://dx.doi.org/10.1016/j.vlsi.2017.12.008.

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46

SUZUKI, Masayuki. "Relationship between Values of a Test and the Method of Conducting a Test." Proceedings of the Annual Convention of the Japanese Psychological Association 76 (September 11, 2012): 2PMC35. http://dx.doi.org/10.4992/pacjpa.76.0_2pmc35.

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47

Spergel, Jonathan M., Terri Brown-Whitehorn, Janet L. Beausoleil, Michele Shuker, and Chris A. Liacouras. "Predictive values for skin prick test and atopy patch test for eosinophilic esophagitis." Journal of Allergy and Clinical Immunology 119, no. 2 (2007): 509–11. http://dx.doi.org/10.1016/j.jaci.2006.11.016.

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48

Walton, Samuel R., Donna K. Broshek, Jason R. Freeman, et al. "Institutionally Based ImPACT Test® Normative Values May Differ from Manufacturer-Provided Normative Values." Archives of Clinical Neuropsychology 35, no. 3 (2019): 275–82. http://dx.doi.org/10.1093/arclin/acz068.

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Abstract Objective The necessity for pre-injury baseline computerized neurocognitive assessments versus comparing post-concussion outcomes to manufacturer-provided normative data is unclear. Manufacturer-provided norms may not be equivalent to institution-specific norms, which poses risks for misclassifying the presence of impairment when comparing individual post-concussion performance to manufacturer-provided norms. The objective of this cohort study was to compare institutionally derived normative data to manufacturer-provided normative values provided by ImPACT® Applications, Incorporated.

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49

Sykes, Mark, Michael Thompson, and Stewart Reynolds. "Pesticide Residues in Food-Based Proficiency Test Materials, Spiking Values versus Consensus Assigned Values." Journal of Agricultural and Food Chemistry 61, no. 18 (2013): 4205–9. http://dx.doi.org/10.1021/jf4003363.

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50

Drozdikova-Zaripova, Albina, Natalya Kalatskaya, and Maria Zhigalova. "Comparative Study of Social and Professional Values of Modern Teachers with Various Pedagogical Experience (the Case of Russia and Belarus)." ARPHA Proceedings 1 (November 5, 2019): 281–93. https://doi.org/10.3897/ap.1.e0264.

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The paper investigated the changing system of values and value orientations of teachers belonging to different generations and cultures in the context of variability in globalization processes. The paper is aimed to identify cross-cultural features of social-professional values and value orientations of Russian and Belarusian teachers divided into three groups in compliance with their pedagogical experience and phases of professional development (from 0 to 5 years - a young teacher, from 6 to 20 years - a teacher - professional, and in case of more than 20 years - a teacher - expert). The lead

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