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Journal articles on the topic 'Testing hypothesis'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Bashir, Josefeena. "Hypothesis Testing." Scientific Journal of India 3, no. 1 (December 31, 2018): 62–63. http://dx.doi.org/10.21276/24565644/2018.v3.i1.21.

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2

Daya, Salim. "Hypothesis testing." Evidence-based Obstetrics & Gynecology 1, no. 2 (June 1999): 47. http://dx.doi.org/10.1054/ebog.1999.0052.

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3

Sheikh, Aziz, and Adrian Cook. "Hypothesis testing." Primary Care Respiratory Journal 9, no. 1 (June 2000): 16–17. http://dx.doi.org/10.1038/pcrj.2000.11.

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4

Davis, Roger B., and Kenneth J. Mukamal. "Hypothesis Testing." Circulation 114, no. 10 (September 5, 2006): 1078–82. http://dx.doi.org/10.1161/circulationaha.105.586461.

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5

Gauvreau, Kimberlee. "Hypothesis Testing." Circulation 114, no. 14 (October 3, 2006): 1545–48. http://dx.doi.org/10.1161/circulationaha.105.586487.

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6

Yarandi, Hossein N. "Hypothesis Testing." Clinical Nurse Specialist 10, no. 4 (July 1996): 186–88. http://dx.doi.org/10.1097/00002800-199607000-00009.

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7

Allua, Shane, and Cheryl Bagley Thompson. "Hypothesis Testing." Air Medical Journal 28, no. 3 (May 2009): 108–53. http://dx.doi.org/10.1016/j.amj.2009.03.002.

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8

Pereira, Sandra M. C., and Gavin Leslie. "Hypothesis testing." Australian Critical Care 22, no. 4 (November 2009): 187–91. http://dx.doi.org/10.1016/j.aucc.2009.08.003.

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9

Sanbonmatsu, David M., Steven S. Posavac, Frank R. Kardes, and Susan P. Mantel. "Selective hypothesis testing." Psychonomic Bulletin & Review 5, no. 2 (June 1998): 197–220. http://dx.doi.org/10.3758/bf03212944.

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10

Marino, Ralph J. "Statistical hypothesis testing." Archives of Physical Medicine and Rehabilitation 76, no. 6 (June 1995): 587–88. http://dx.doi.org/10.1016/s0003-9993(95)80518-4.

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11

Shaffer, J. P. "Multiple Hypothesis Testing." Annual Review of Psychology 46, no. 1 (January 1995): 561–84. http://dx.doi.org/10.1146/annurev.ps.46.020195.003021.

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12

Fossaluza, Victor, Rafael Izbicki, Gustavo Miranda da Silva, and Luís Gustavo Esteves. "Coherent Hypothesis Testing." American Statistician 71, no. 3 (July 3, 2017): 242–48. http://dx.doi.org/10.1080/00031305.2016.1237893.

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13

Telke, Susan E., and Lynn E. Eberly. "Statistical Hypothesis Testing." Journal of Wound, Ostomy and Continence Nursing 38, no. 3 (2011): 225–30. http://dx.doi.org/10.1097/won.0b013e3182172627.

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14

Telke, Susan E., and Lynn E. Eberly. "Statistical Hypothesis Testing." Journal of Wound, Ostomy and Continence Nursing 38, no. 4 (2011): 351–54. http://dx.doi.org/10.1097/won.0b013e3182226e57.

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15

Telke, Susan E., and Lynn E. Eberly. "Statistical Hypothesis Testing." Journal of Wound, Ostomy and Continence Nursing 38, no. 5 (2011): 496–500. http://dx.doi.org/10.1097/won.0b013e31822b7fc8.

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16

Telke, Susan E., and Lynn E. Eberly. "Statistical Hypothesis Testing." Journal of Wound, Ostomy and Continence Nursing 38, no. 6 (2011): 621–26. http://dx.doi.org/10.1097/won.0b013e31823428a8.

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17

Kadane, Joseph. "Beyond Hypothesis Testing." Entropy 18, no. 5 (May 20, 2016): 199. http://dx.doi.org/10.3390/e18050199.

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18

Tabor, James D. "Testing a Hypothesis." Near Eastern Archaeology 69, no. 3-4 (September 2006): 132–37. http://dx.doi.org/10.1086/nea25067665.

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19

Eberly, Lynn E., and Susan E. Telke. "Statistical Hypothesis Testing." Journal of Wound, Ostomy and Continence Nursing 38, no. 1 (2011): 18–20. http://dx.doi.org/10.1097/won.0b013e3182032698.

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20

Eberly, Lynn E., and Susan E. Telke. "Statistical Hypothesis Testing." Journal of Wound, Ostomy and Continence Nursing 38, no. 2 (2011): 128–31. http://dx.doi.org/10.1097/won.0b013e31820acff7.

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21

Sedgwick, P. "Statistical hypothesis testing." BMJ 340, apr21 1 (April 21, 2010): c2059. http://dx.doi.org/10.1136/bmj.c2059.

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22

Ennis, Daniel M., and John M. Ennis. "Equivalence hypothesis testing." Food Quality and Preference 21, no. 3 (April 2010): 253–56. http://dx.doi.org/10.1016/j.foodqual.2009.06.005.

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23

Ioannidou, Olga, and Sibel Erduran. "Beyond Hypothesis Testing." Science & Education 30, no. 2 (February 6, 2021): 345–64. http://dx.doi.org/10.1007/s11191-020-00185-9.

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AbstractRecent reforms in science education have promoted students’ understanding of how science works, including the methodological approaches used by scientists. Given that teachers are expected to teach and promote methodological pluralism, it is worth examining how teachers understand and view scientific methods, particularly when scientific methods are presented as a diverse array and not as a linear model based exclusively on hypothesis testing.The empirical study presented in the paper examines science teachers’ understanding of scientific methods, particularly the diversity of scientific methods. Brandon’s Matrix, a philosopher’s account of scientific methods, has been adapted for educational purposes, and two tasks were developed in order to investigate teachers’ understanding of scientific methods. Fifty-six science teachers (25% male, 75% female) from different regions in the UK responded to an online survey.The results showed that the majority of the teachers showed satisfactory understanding of basic components of Brandon’s Matrix. However, more than half of the sample held naïve understanding of scientific methods. By providing insight into teachers’ misconceptions about scientific methods, the study provides suggestions for the design of teacher training programmes and highlights the need for explicit instruction about scientific methods. In addition, we suggest the use of heuristics such as Brandon’s Matrix for the development of pedagogical tools as well as research instruments.

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24

Templeton, Alan R. ""Eve": Hypothesis Compatibility versus Hypothesis Testing." American Anthropologist 96, no. 1 (March 1994): 141–47. http://dx.doi.org/10.1525/aa.1994.96.1.02a00080.

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25

Choi, Jeong-Seok. "Biostatistics for Multiple Testing." Korean Journal of Otorhinolaryngology-Head and Neck Surgery 63, no. 3 (March 21, 2020): 97–100. http://dx.doi.org/10.3342/kjorl-hns.2020.00164.

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Multiple testings are instances that contain simultaneous tests for more than one hypothesis. When multiple testings are conducted at the same time, it is more likely that the null hypothesis is rejected, even if the null hypothesis is correct. If individual hypothesis decisions are based on unadjusted <i>p</i>-values, it is usually more likely that some of the true null hypotheses will be rejected. In order to solve the multiple testing problems, various studies have attempted to increase the power by taking into account the family-wise error rate or false discovery rate and statistics required for testing hypotheses. This article discuss methods that account for the multiplicity issue and introduces various statistical techniques.

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26

Tokić, Saša, Berislav Bolfek, and Anita Radman Peša. "Testing efficient market hypothesis in developing Eastern European countries." Investment Management and Financial Innovations 15, no. 2 (June 19, 2018): 281–91. http://dx.doi.org/10.21511/imfi.15(2).2018.25.

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This paper analyzes financial markets in four developing countries (Croatia, Serbia, Slovenia, Slovakia) using daily returns of their respective stock market indices from January 1, 2006 till December 31, 2016, timeframe which was rarely analyzed. Analysis was conducted by various statistical tests, more precisely serial correlation test, runs test, Augmented Dickey-Fuller test, unit root test, variance ratio test and test of January effect. Results suggest that all analyzed indices, except BelexLine (Serbia), confirm weak form of efficient market hypothesis, while the results on the index BelexLine are mixed and it can be concluded that it does not follow weak form of efficient market hypothesis. Given these results, it can be said that not only passive approach to portfolio management is more appropriate on all indices, except BelexLine, but also additional test and more complex models are necessary in order to confirm this conclusion.

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27

Spellman, Barbara A. "Hypothesis Testing: Strategy Selection for Generalising versus Limiting Hypotheses." Thinking & Reasoning 5, no. 1 (January 1999): 67–92. http://dx.doi.org/10.1080/135467899394084.

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28

Rublík, František. "Testing a tolerance hypothesis by means of an information distance." Applications of Mathematics 35, no. 6 (1990): 458–70. http://dx.doi.org/10.21136/am.1990.104428.

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29

Njuguna, Josephine. "Testing the efficient market hypothesis on the Nairobi Securities Exchange." Investment Management and Financial Innovations 13, no. 3 (August 23, 2016): 75–83. http://dx.doi.org/10.21511/imfi.13(3).2016.06.

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This paper tests the weak-form of the efficient market hypothesis (EMH) of the Nairobi Securities Exchange (NSE) using daily and weekly index data from the NSE 20 share index over the period, January 2001 to January 2015 and the NSE All Share Index (ASI) from its initiation, in February 2008 to January 2015. To test weak-form efficiency in this market, this study uses the serial correlation test, unit root tests (ADF and Phillips-Perron) and runs test. Results indicate that we cannot accept the EMH for the NSE using the serial correlation test, unit root tests and the runs test. Overall, the Kenyan market is found to not be weak-form efficient

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30

Becher, Heiko, Peter Hall, and Susan R. Wilson. "Bootstrap Hypothesis Testing Procedures." Biometrics 49, no. 4 (December 1993): 1268. http://dx.doi.org/10.2307/2532271.

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31

HASHIMOTO, TAKEYUKI. "Sample and Hypothesis Testing." Japanese Journal of Radiological Technology 55, no. 8 (1999): 766–69. http://dx.doi.org/10.6009/jjrt.kj00001356715.

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32

Lichtenberg, Frank R. "Testing the Convergence Hypothesis." Review of Economics and Statistics 76, no. 3 (August 1994): 576. http://dx.doi.org/10.2307/2109982.

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33

Wilkin, Terence J., and Brad S. Metcalf. "Testing the activitystat hypothesis." Preventive Medicine 54, no. 2 (February 2012): 177. http://dx.doi.org/10.1016/j.ypmed.2011.11.009.

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34

Mourougan, Sendil, and Dr K. Sethuraman. "Hypothesis Development and Testing." IOSR Journal of Business and Management 19, no. 05 (May 2017): 34–40. http://dx.doi.org/10.9790/487x-1905013440.

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35

Izumi, Shinichi, Martha Bigelow, Miho Fujiwara, and Sarah Fearnow. "TESTING THE OUTPUT HYPOTHESIS." Studies in Second Language Acquisition 21, no. 3 (September 1999): 421–52. http://dx.doi.org/10.1017/s0272263199003034.

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This study addresses one of the functions of output proposed by Swain (1993, 1995, 1998). In particular, the activity of producing the target language may, under certain circumstances, prompt L2 learners to recognize some of their linguistic problems and bring to their attention something they need to discover about their L2. Two research questions were posed: (a) Does output promote noticing of linguistic form? and (b) Does output result in improved performance on the target form? In treatment phase 1, participants reconstructed a short passage after being exposed to it, followed by a second exposure to the same input material and a second reconstruction opportunity. In phase 2, participants wrote on given topics, followed by the presentation of a model written by a native speaker. Participants wrote a second time on the same topic. To test the noticing function of output, participants underlined parts of the sentences they thought were “particularly necessary” for subsequent (re)production. The control group was exposed to the same input materials but was not required to produce any output. Although phase 1 tasks resulted in noticing and immediate incorporation of the target form, the posttest performance failed to reveal their effects. In contrast, phase 2 tasks resulted in improvement on posttest 2. The results are discussed in terms of the efficacy of output in promoting noticing and learning and the conditions that may be required for output to be useful for SLA.

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36

Crisp, Michael D., Steven A. Trewick, and Lyn G. Cook. "Hypothesis testing in biogeography." Trends in Ecology & Evolution 26, no. 2 (February 2011): 66–72. http://dx.doi.org/10.1016/j.tree.2010.11.005.

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37

Baras, J. S., and D. C. MacEnany. "Bayesian Sequential Hypothesis Testing." IFAC Proceedings Volumes 23, no. 8 (August 1990): 173–78. http://dx.doi.org/10.1016/s1474-6670(17)52003-0.

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38

Kleiman, Robin J., and Louis F. Reichardt. "Testing the Agrin Hypothesis." Cell 85, no. 4 (May 1996): 461–64. http://dx.doi.org/10.1016/s0092-8674(00)81245-3.

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39

Fisher, Nicholas I., and Peter Hall. "ON BOOTSTRAP HYPOTHESIS TESTING." Australian Journal of Statistics 32, no. 2 (June 1990): 177–90. http://dx.doi.org/10.1111/j.1467-842x.1990.tb01011.x.

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40

Phillips, Peter C. B., and Sainan Jin. "Testing the Martingale Hypothesis." Journal of Business & Economic Statistics 32, no. 4 (October 2, 2014): 537–54. http://dx.doi.org/10.1080/07350015.2014.908780.

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41

Romano, Joseph P., Azeem M. Shaikh, and Michael Wolf. "Hypothesis Testing in Econometrics." Annual Review of Economics 2, no. 1 (September 4, 2010): 75–104. http://dx.doi.org/10.1146/annurev.economics.102308.124342.

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42

Sapra, Sunil K. "Robust nonnested hypothesis testing." Applied Economics Letters 15, no. 1 (November 27, 2007): 1–4. http://dx.doi.org/10.1080/13504850600605994.

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43

Li, Yun, Sirin Nitinawarat, and Venugopal V. Veeravalli. "Universal Outlier Hypothesis Testing." IEEE Transactions on Information Theory 60, no. 7 (July 2014): 4066–82. http://dx.doi.org/10.1109/tit.2014.2317691.

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44

Binder, Laurence M. "Hypothesis Testing in Neuropsychology." Contemporary Psychology: A Journal of Reviews 35, no. 1 (January 1990): 79–80. http://dx.doi.org/10.1037/028195.

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45

Noether, Goitfried E. "Estimation versus Hypothesis testing." Teaching Statistics 11, no. 3 (September 1989): 88. http://dx.doi.org/10.1111/j.1467-9639.1989.tb00076.x.

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46

Naghshvar, Mohammad, and Tara Javidi. "Active sequential hypothesis testing." Annals of Statistics 41, no. 6 (December 2013): 2703–38. http://dx.doi.org/10.1214/13-aos1144.

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47

Fefferman, Charles, Sanjoy Mitter, and Hariharan Narayanan. "Testing the manifold hypothesis." Journal of the American Mathematical Society 29, no. 4 (February 9, 2016): 983–1049. http://dx.doi.org/10.1090/jams/852.

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48

Whyte, Jean, and Louise Nunan. "Hypothesis-Testing in Dyslexics." Irish Journal of Psychology 12, no. 4 (January 1991): 418–30. http://dx.doi.org/10.1080/03033910.1991.10557859.

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49

Chester, S. Theodore. "Power in Hypothesis Testing." Archives of Internal Medicine 146, no. 6 (June 1, 1986): 1227. http://dx.doi.org/10.1001/archinte.1986.00360180247047.

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50

Chester, S. T. "Power in hypothesis testing." Archives of Internal Medicine 146, no. 6 (June 1, 1986): 1227a—1227. http://dx.doi.org/10.1001/archinte.146.6.1227a.

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