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Journal articles on the topic 'T-Test t-Test'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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1

Semenick, Doug. "TESTS AND MEASUREMENTS: The T-test." National Strength & Conditioning Association Journal 12, no. 1 (1990): 36. http://dx.doi.org/10.1519/0744-0049(1990)012<0036:ttt>2.3.co;2.

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2

Hosken, Jerome W. "Correcting the t‐Test test." Physics Teacher 34, no. 4 (April 1996): 196–97. http://dx.doi.org/10.1119/1.2344403.

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3

Frede, Dov. "Test article T." Journal of Test Deposits 34, no. 1 (September 1, 2010): 21. http://dx.doi.org/10.5555/t;est_20101004_100.

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4

Guo, Jing, and Gang Wu. "Rank Sum Test or Paired t Test?" Plastic and Reconstructive Surgery 128, no. 4 (October 2011): 369e. http://dx.doi.org/10.1097/prs.0b013e3182268833.

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5

Tödter, Karl-Heinz. "100 Jahre t-Test." WiSt - Wirtschaftswissenschaftliches Studium 37, no. 12 (2008): 678–80. http://dx.doi.org/10.15358/0340-1650-2008-12-678.

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6

Senn, Stephen, and William Richardson. "The first t-test." Statistics in Medicine 13, no. 8 (April 30, 1994): 785–803. http://dx.doi.org/10.1002/sim.4780130802.

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7

Sedgwick, P. "Independent samples t test." BMJ 340, may18 2 (June 2, 2010): c2673. http://dx.doi.org/10.1136/bmj.c2673.

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8

Freeman, Jade, and Reza Modarres. "Efficiency of t-Test and Hotelling's T 2-Test After Box-Cox Transformation." Communications in Statistics - Theory and Methods 35, no. 6 (July 2006): 1109–22. http://dx.doi.org/10.1080/03610920600672203.

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9

Raheena, M., and Retnamony G. Robinson. "Accelerated Consolidation Test Using $$ \sqrt t $$ t Method." Indian Geotechnical Journal 48, no. 1 (June 13, 2017): 84–91. http://dx.doi.org/10.1007/s40098-017-0237-7.

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10

Meyers, Susan C. "Tempest in a t Test?" Journal of Speech and Hearing Disorders 55, no. 1 (February 1990): 173–74. http://dx.doi.org/10.1044/jshd.5501.173.

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11

Argharni, N. R., and L. Billard. "A partial sequential t-test." Sequential Analysis 10, no. 3 (1991): 181–97. http://dx.doi.org/10.1080/07474949108836234.

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12

Minton, Kirsty. "T-cell test for TB." Nature Reviews Immunology 3, no. 5 (May 2003): 355. http://dx.doi.org/10.1038/nri1102.

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13

Bernard, Nicholas J. "Cholesterol test for T cells." Nature Reviews Rheumatology 15, no. 4 (March 5, 2019): 189. http://dx.doi.org/10.1038/s41584-019-0195-9.

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14

Michels, Eugene. "Use of the t Test." Physical Therapy 71, no. 10 (October 1, 1991): 763–65. http://dx.doi.org/10.1093/ptj/71.10.763.

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15

Ingrand, P. "Le test t de Student." Journal d'imagerie diagnostique et interventionnelle 1, no. 2 (April 2018): 81–83. http://dx.doi.org/10.1016/j.jidi.2018.02.001.

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16

Pandis, Nikolaos. "Comparison of 2 means for matched observations (paired t test) and t test assumptions." American Journal of Orthodontics and Dentofacial Orthopedics 148, no. 3 (September 2015): 515–16. http://dx.doi.org/10.1016/j.ajodo.2015.06.011.

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17

Sargın, Gökhan, Taşkın Şentürk, Emel Ceylan, Murat Telli, Songül Çildağ, and Hakan Doğan. "Tst, Quantiferon-tb Gold test and t-spot.Tb test for detecting latent tuberculosis infection in patients with rheumatic disease prior to anti-tnf therapy." Tuberkuloz ve Toraks 66, no. 2 (June 30, 2018): 136–43. http://dx.doi.org/10.5578/tt.66122.

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18

Sargın, Gökhan, Taşkın Şentürk, Emel Ceylan, Murat Telli, Songül Çildağ, and Hakan Doğan. "Tst, Quantiferon-tb Gold test and t-spot.Tb test for detecting latent tuberculosis infection in patients with rheumatic disease prior to anti-tnf therapy." Tuberkuloz ve Toraks 66, no. 2 (June 30, 2018): 136–43. http://dx.doi.org/10.5578/tt.66444.

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19

Ruxton, Graeme D. "The unequal variance t-test is an underused alternative to Student's t-test and the Mann–Whitney U test." Behavioral Ecology 17, no. 4 (May 17, 2006): 688–90. http://dx.doi.org/10.1093/beheco/ark016.

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20

De LAND, PAUL N., and WALTER Wm CHASE. "Statistics Notebook: Entry IV.B: (1) One-Sample t-Test and (2) Matched-Pairs t-Test." Optometry and Vision Science 70, no. 1 (January 1993): 79–83. http://dx.doi.org/10.1097/00006324-199301000-00013.

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21

Raya, Michele A., Robert S. Gailey, Ignacio A. Gaunaurd, Daniel M. Jayne, Stuart M. Campbell, Erica Gagne, Patrick G. Manrique, Daniel G. Muller, and Christen Tucker. "Comparison of three agility tests with male servicemembers: Edgren Side Step Test, T-Test, and Illinois Agility Test." Journal of Rehabilitation Research and Development 50, no. 7 (2013): 951–60. http://dx.doi.org/10.1682/jrrd.2012.05.0096.

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22

Liang, Liang-ping. "How to use t-test correctly." Journal of Chinese Integrative Medicine 6, no. 2 (February 15, 2008): 209–12. http://dx.doi.org/10.3736/jcim20080221.

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23

Stoltzfus, JillC. "Student's t-test for independent samples." International Journal of Academic Medicine 1, no. 1 (2015): 27. http://dx.doi.org/10.4103/2455-5568.172708.

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24

Morimune, Kimio. "t Test in a Structural Equation." Econometrica 57, no. 6 (November 1989): 1341. http://dx.doi.org/10.2307/1913711.

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25

Abraham, J. A., M. Abramovici, I. Ievendel, S. Motto, M. Nicolaidis, and Y. Zorian. "AD&T Roundtable: Online Test." IEEE Design & Test of Computers 16, no. 1 (January 1999): 80–86. http://dx.doi.org/10.1109/mdt.1999.748810.

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26

Quarta, Giovanni, Laura Marino, Jasmine Passerini, Valentina Francione, Francesco Paneni, and Camillo Autore. "The Microvolt T-Wave Alternans Test." High Blood Pressure & Cardiovascular Prevention 14, no. 4 (2007): 213–19. http://dx.doi.org/10.2165/00151642-200714040-00003.

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27

Kim, Tae Kyun. "T test as a parametric statistic." Korean Journal of Anesthesiology 68, no. 6 (2015): 540. http://dx.doi.org/10.4097/kjae.2015.68.6.540.

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28

Seldrup, Jørgen. "Whatever Happened to the T-Test?" Drug Information Journal 31, no. 3 (July 1997): 745–50. http://dx.doi.org/10.1177/009286159703100315.

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29

Stratton, Minda. "Inappropriate Use of the t -test." Anesthesiology 73, no. 4 (October 1, 1990): 790. http://dx.doi.org/10.1097/00000542-199010000-00037.

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30

Kruschke, John K. "Bayesian estimation supersedes the t test." Journal of Experimental Psychology: General 142, no. 2 (2013): 573–603. http://dx.doi.org/10.1037/a0029146.

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31

Moser, Barry K., Gary R. Stevens, and Christian L. Watts. "The two-sample t test versus satterthwaite's approximate f test." Communications in Statistics - Theory and Methods 18, no. 11 (January 1989): 3963–75. http://dx.doi.org/10.1080/03610928908830135.

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32

Akazawa, Hitoshi, Masaki Hayama, Takeshi Tsuda, Kazuya Takeda, Yohei Maeda, and Hidenori Inohara. "Validating T&T Olfactometry as a Smell Identification Test Compared to Brief Smell Identification Test." Nihon Bika Gakkai Kaishi (Japanese Journal of Rhinology) 59, no. 4 (2020): 309–17. http://dx.doi.org/10.7248/jjrhi.59.309.

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33

Lim, Wooi K., and Alice W. Lim. "A Comparison Of Usual t-Test Statistic and Modified t-Test Statistics on Skewed Distribution Functions." Journal of Modern Applied Statistical Methods 15, no. 2 (November 1, 2016): 67–89. http://dx.doi.org/10.22237/jmasm/1478001960.

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34

Lembke, J., G. Göretzlehner, and S. Lembke. "Antipyrin-Test (AP-T) und Indozyaningrün-Test (ICG-T) unter der Therapie mit Chlormadinonazetat und Danazol." Archives of Gynecology 238, no. 1-4 (September 1985): 765–66. http://dx.doi.org/10.1007/bf02430201.

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35

Pandis, Nikolaos. "Comparison of 2 means (independent z test or independent t test)." American Journal of Orthodontics and Dentofacial Orthopedics 148, no. 2 (August 2015): 350–51. http://dx.doi.org/10.1016/j.ajodo.2015.05.012.

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36

Boyce, Eric G., and Jean M. Nappi. "Is There Significance beyond the T-Test?" Drug Intelligence & Clinical Pharmacy 22, no. 4 (April 1988): 334–35. http://dx.doi.org/10.1177/106002808802200418.

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Choosing the most appropriate statistical test may be routine for statisticians, but not for clinicians. The t-test, a parametric statistical test, may be used inappropriately. This commentary describes the assumptions of and alternatives to the t-test. T-tests are used to compare two groups of data that are from a continuous scale and normally distributed. Determining if data are normally distributed can be difficult but selected methods can be useful. Two nonparametric tests, the Mann-Whitney U test and the Wilcoxon rank sum test, may be more appropriate in analyzing data that are neither continuous nor normally distributed. Statistical results may vary with the test chosen. Investigators are responsible for using the appropriate statistical tests. Statisticians and texts can be consulted. Pharmacy educational and training programs may need further emphasis in the area of statistics.
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37

Dong, Chang Chun, and Wei Zhao. "Test Analysis of Stiffened T-Stub Connections." Applied Mechanics and Materials 744-746 (March 2015): 319–22. http://dx.doi.org/10.4028/www.scientific.net/amm.744-746.319.

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To investigate the effect of stiffener on the stiffness and strength of T-stubs, 3 T-stub connections without stiffeners and 6 stiffened T-stub connections with varied shape and thickness of stiffeners were tested monotonically. The load carrying capacity, relative deformations of endplates and strains on the stiffeners and endplates were measured. The load-deformation curves of the connections and load-strain curves were presented. The test results showed that the commonly used stiffeners in current Chinese practice often yield or/and buckle prematurely. And the stiffener designed by the method can meet the requirement in CECS102-2002, which demands that the stiffener should be able to force the extended portion of endplates from clamped-free boundary to plates fixed on two adjacent boundaries.
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38

Mills, Laura. "Wilderness Survival Guide to the T Test." Journal of Therapeutic Schools and Programs 1, no. 9 (2017): 54–57. http://dx.doi.org/10.19157/jtsp.issue.09.01.07.

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39

Cousineau, Denis. "Computing the power of a t test." Tutorials in Quantitative Methods for Psychology 3, no. 2 (September 1, 2007): 60–62. http://dx.doi.org/10.20982/tqmp.03.2.p060.

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40

David, H. A., and Jason L. Gunnink. "The Paired t Test Under Artificial Pairing." American Statistician 51, no. 1 (February 1997): 9. http://dx.doi.org/10.2307/2684684.

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41

HAMANO, Kenji, and Hirosuke YAMAMOTO. "A Randomness Test Based on T-Complexity." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E93-A, no. 7 (2010): 1346–54. http://dx.doi.org/10.1587/transfun.e93.a.1346.

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42

Lew, Robert A., and Mani Menon. "A User’s Guide to the T-Test." Journal of Urology 146, no. 1 (July 1991): 199–204. http://dx.doi.org/10.1016/s0022-5347(17)37752-2.

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43

Limentani, Giselle B., Moira C. Ringo, Feng Ye, Mandy L. Bergquist, and Ellen O. MCSorley. "Beyond the t-Test: Statistical Equivalence Testing." Analytical Chemistry 77, no. 11 (June 2005): 221 A—226 A. http://dx.doi.org/10.1021/ac053390m.

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44

Bakirov, N. K., and G. J. Székely. "Student’s t-test for Gaussian scale mixtures." Journal of Mathematical Sciences 139, no. 3 (December 2006): 6497–505. http://dx.doi.org/10.1007/s10958-006-0366-5.

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45

Carlson, Erik D. "Creating Ribo-T: (Design, Build, Test)n." ACS Synthetic Biology 4, no. 11 (November 20, 2015): 1173–75. http://dx.doi.org/10.1021/acssynbio.5b00218.

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46

Page, Brian R. "The ‘student’’ of the student’s t‐test." Physics Teacher 33, no. 8 (November 1995): 490–96. http://dx.doi.org/10.1119/1.2344275.

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47

Katz, I., L. Wyndham, and L. Irwig. "Cardiac troponin-T and diagnostic test evaluation." Clinical Chemistry 41, no. 4 (April 1, 1995): 634–35. http://dx.doi.org/10.1093/clinchem/41.4.634.

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48

Harmatz, Jerold S. "An Irreverent Look at the t Test." Journal of Clinical Psychopharmacology 29, no. 2 (April 2009): 105–8. http://dx.doi.org/10.1097/jcp.0b013e31819d8925.

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49

Balkin, Sandy D., and Colin L. Mallows. "An Adjusted, Asymmetric Two-Sample t Test." American Statistician 55, no. 3 (August 2001): 203–6. http://dx.doi.org/10.1198/000313001317098176.

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50

Ziegler, Matthias, Christoph Kemper, and Beatrice Rammstedt. "The Vocabulary and Overclaiming Test (VOC-T)." Journal of Individual Differences 34, no. 1 (January 2013): 32–40. http://dx.doi.org/10.1027/1614-0001/a000093.

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The present research aimed at constructing a questionnaire measuring overclaiming tendencies (VOC-T-bias) as an indicator of self-enhancement. An approach was used which also allows estimation of a score for vocabulary knowledge, the accuracy index (VOC-T-accuracy), using signal detection theory. For construction purposes, an online study was conducted with N = 1,176 participants. The resulting questionnaire, named Vocabulary and Overclaiming – Test (VOC-T) was investigated with regard to its psychometric properties in two further studies. Study 2 used data from a population representative sample (N = 527), and Study 3 was another online survey (N = 933). Results show that reliability estimates were satisfactory for the VOC-T-bias index and the VOC-T-accuracy index. Overclaiming did not correlate with knowledge, but it was sensitive to self-enhancement supporting the construct validity of the test scores. The VOC-T-accuracy index in turn covaried with general knowledge and even more so with verbal knowledge, which also supports construct validity. Moreover, the VOC-T-accuracy index had a meaningful correlation with age in both validation studies. All in all, the psychometric properties can be regarded as sufficient to recommend the VOC-T for research purposes.
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