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Journal articles on the topic 'Causality'

To see the other types of publications on this topic, follow the link: Causality.

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2024

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1

Piaget, J. "La causalité chez l'enfant (Children's understanding of causality)." British Journal of Psychology 100, S1 (April 2009): 207–24. http://dx.doi.org/10.1348/000712608x336059.

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2

Dhavamony, Mariasusai. "Causality." International Philosophical Quarterly 31, no. 2 (1991): 173–87. http://dx.doi.org/10.5840/ipq19913125.

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3

Sacksteder, William. "CAUSALITY." Southwest Philosophy Review 16, no. 2 (2000): 31–58. http://dx.doi.org/10.5840/swphilreview200016250.

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4

VanderWeele, Tyler. "Causality." Journal of the Royal Statistical Society: Series A (Statistics in Society) 174, no. 1 (January 2011): 243–44. http://dx.doi.org/10.1111/j.1467-985x.2010.00676_7.x.

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5

Choi, Tina Young, and Edward Jones-Imhotep. "Causality." Victorian Literature and Culture 46, no. 3-4 (2018): 604–8. http://dx.doi.org/10.1017/s1060150318000360.

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6

Janes, Joseph. "Causality." Library Hi Tech 19, no. 2 (June 2001): 191–93. http://dx.doi.org/10.1108/07378830110733946.

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7

Brooks, Michael. "Causality." New Scientist 262, no. 3492 (May 2024): 35. http://dx.doi.org/10.1016/s0262-4079(24)00975-8.

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8

Minguzzi, E. "K-Causality Coincides with Stable Causality." Communications in Mathematical Physics 290, no. 1 (April 4, 2009): 239–48. http://dx.doi.org/10.1007/s00220-009-0794-4.

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9

Cravo, Andre Mascioli, Karin Moreira Santos, Marcelo Bussotti Reyes, Marcelo Salvador Caetano, and Peter M. E. Claessens. "Visual Causality Judgments Correlate with the Phase of Alpha Oscillations." Journal of Cognitive Neuroscience 27, no. 10 (October 2015): 1887–94. http://dx.doi.org/10.1162/jocn_a_00832.

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The detection of causality is essential for our understanding of whether distinct events relate. A central requirement for the sensation of causality is temporal contiguity: As the interval between events increases, causality ratings decrease; for intervals longer than approximately 100 msec, the events start to appear independent. It has been suggested that this effect might be due to perception relying on discrete processing. According to this view, two events may be judged as sequential or simultaneous depending on their temporal relationship within a discrete neuronal process. To assess if alpha oscillations underlie this discrete neuronal process, we investigated how these oscillations modulate the judgment of causality. We used the classic launching effect with concurrent recording of EEG signal. In each trial, a disk moved horizontally toward a second disk at the center of the screen and stopped when they touched each other. After a delay that varied between 0 and 400 msec after contact, the right disk began to move. Participants were instructed to judge whether or not they had a feeling that the first disk caused the movement of the second disk. We found that frontocentral alpha phase significantly biased causality estimates. Moreover, we found that alpha phase was concentrated around different angles for trials in which participants judged events as causally related versus not causally related. We conclude that alpha phase plays a key role in biasing causality judgments.

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10

Arif, Abubakar, and R. Rosiyana Dewi. "ANALISIS KAUSALITAS ANTARA PENERIMAAN PAJAK DENGAN TINGKAT KEGIATAN EKONOMI INDONESIA DENGAN PENDEKATAN GRANGER CAUSALITY." JURNAL INFORMASI, PERPAJAKAN, AKUNTANSI, DAN KEUANGAN PUBLIK 8, no. 1 (May 7, 2019): 1. http://dx.doi.org/10.25105/jipak.v8i1.4502.

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<p>The purpose of this study is to analysis the causality between tax revenue and economy activity in Indonesia period 1990-2010. The design of this research used time series analysis model with Granger Causality Model with the step analusis are (1) determine long of lag to know how long tax revenue and economy activity influence, (2) determine causality test to proof there are causality or there are correlation one direction between tax revenue and economy activity, (3) analyze the power of correlation or influence between tax revenue and economy activity after the result of causali8ty test was reach. The analysis used in this research was time serieswith annual data,starting 1990 too 2010. Tax revenue and economy activity with proxy product domestic bruto are valuables used in this study. The result of this study are not find causality between tax revenue and economy activity in Indonesia but one direction correlation when tax revenue influence economy activity.By the regression analysis can proff that tax revenue influence significant positive to economy activity with multiplier effect less than 1.</p>

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11

Díaz-Lago, Marcos, and Helena Matute. "Thinking in a Foreign language reduces the causality bias." Quarterly Journal of Experimental Psychology 72, no. 1 (February 16, 2018): 41–51. http://dx.doi.org/10.1177/1747021818755326.

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The purpose of this research is to investigate the impact of a foreign language on the causality bias (i.e., the illusion that two events are causally related when they are not). We predict that using a foreign language could reduce the illusions of causality. A total of 36 native English speakers participated in Experiment 1, 80 native Spanish speakers in Experiment 2. They performed a standard contingency learning task, which can be used to detect causal illusions. Participants who performed the task in their native tongue replicated the illusion of causality effect, whereas those performing the task in their foreign language were more accurate in detecting that the two events were causally unrelated. Our results suggest that presenting the information in a foreign language could be used as a strategy to debias individuals against causal illusions, thereby facilitating more accurate judgements and decisions in non-contingent situations. They also contribute to the debate on the nature and underlying mechanisms of the foreign language effect, given that the illusion of causality is rooted in basic associative processes.

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12

Hollowood, Timothy J., and Graham M. Shore. "Causality and micro-causality in curved spacetime." Physics Letters B 655, no. 1-2 (October 2007): 67–74. http://dx.doi.org/10.1016/j.physletb.2007.08.073.

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13

Salmon, Wesley C. "Causal propensities: Statistical causality vs. aleatory causality." Topoi 9, no. 2 (September 1990): 95–100. http://dx.doi.org/10.1007/bf00135890.

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14

Kathpalia, Aditi, and Nithin Nagaraj. "Measuring Causality." Resonance 26, no. 2 (February 2021): 191–210. http://dx.doi.org/10.1007/s12045-021-1119-y.

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15

Davis, Wayne A., and Ellery Eells. "Probabilistic Causality." Philosophical Review 102, no. 3 (July 1993): 410. http://dx.doi.org/10.2307/2185908.

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16

Hamblin, Robert L., Jerald Hage, and Barbara Foley Meeker. "Social Causality." Contemporary Sociology 18, no. 6 (November 1989): 964. http://dx.doi.org/10.2307/2074245.

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17

Ernst, Edzard. "Causality matters." Focus on Alternative and Complementary Therapies 9, no. 1 (March 2004): 1–2. http://dx.doi.org/10.1211/fact.2004.00001.

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18

Dalton, Peter. "Humean Causality." Journal of Philosophical Research 35 (2010): 1–24. http://dx.doi.org/10.5840/jpr_2010_1.

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19

Neuberg, Leland Gerson, and Ellery Eells. "Probabilistic Causality." Journal of the American Statistical Association 87, no. 420 (December 1992): 1246. http://dx.doi.org/10.2307/2290677.

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20

Welshon, Robert C. "Perspectivist Causality." International Studies in Philosophy 30, no. 3 (1998): 39–48. http://dx.doi.org/10.5840/intstudphil199830355.

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21

Eslick, Leonard J. "Divine Causality." Modern Schoolman 62, no. 4 (1985): 233–47. http://dx.doi.org/10.5840/schoolman198562441.

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22

Lebow, Richard Ned. "Constitutive Causality." Millennium: Journal of International Studies 38, no. 2 (October 27, 2009): 211–39. http://dx.doi.org/10.1177/0305829809347536.

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23

Haldane, J. "Privative causality." Analysis 67, no. 3 (July 1, 2007): 180–86. http://dx.doi.org/10.1093/analys/67.3.180.

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24

Snyder, Timothy. "Commemorative Causality." Modernism/modernity 20, no. 1 (2013): 77–93. http://dx.doi.org/10.1353/mod.2013.0026.

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25

Thomas, R. "Circular causality." IEE Proceedings - Systems Biology 153, no. 4 (2006): 140. http://dx.doi.org/10.1049/ip-syb:20050101.

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26

Holland, Peter. "Ditching causality." Nature 378, no. 6556 (November 1995): 454. http://dx.doi.org/10.1038/378454a0.

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27

Blau, Steven K. "Quantitative causality." Physics Today 68, no. 1 (January 2015): 16. http://dx.doi.org/10.1063/pt.3.2643.

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28

Brukner, Časlav. "Quantum causality." Nature Physics 10, no. 4 (April 2014): 259–63. http://dx.doi.org/10.1038/nphys2930.

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29

Li, Yun. "Indefinite causality." Nature Physics 13, no. 5 (May 2017): 419. http://dx.doi.org/10.1038/nphys4134.

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30

Haldane, John. "Privative causality." Analysis 67, no. 295 (July 2007): 180–86. http://dx.doi.org/10.1111/j.1467-8284.2007.00672.x.

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31

Larsen, U. "Objective causality." Journal of Physics A: Mathematical and General 21, no. 24 (December 21, 1988): 4513–33. http://dx.doi.org/10.1088/0305-4470/21/24/008.

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32

Lindberg, David S. "CLARIFYING CAUSALITY." AJN, American Journal of Nursing 102, no. 6 (June 2002): 13. http://dx.doi.org/10.1097/00000446-200206000-00003.

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33

Baldi, Pierre, and Babak Shahbaba. "Bayesian Causality." American Statistician 74, no. 3 (August 26, 2019): 249–57. http://dx.doi.org/10.1080/00031305.2019.1647876.

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34

Kassirer, Jerome P., and Richard I. Kopelman. "Judging Causality." Hospital Practice 22, no. 10 (October 15, 1987): 43–50. http://dx.doi.org/10.1080/21548331.1987.11703331.

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35

Spellman, Barbara A. "Crediting causality." Journal of Experimental Psychology: General 126, no. 4 (December 1997): 323–48. http://dx.doi.org/10.1037/0096-3445.126.4.323.

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36

Wong, Daniel J., and Elliot L. Chaikof. "Inferring causality." Journal of Vascular Surgery 72, no. 2 (August 2020): 387–88. http://dx.doi.org/10.1016/j.jvs.2020.01.036.

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37

Schatzki, Theodore R. "Social causality." Inquiry 31, no. 2 (January 1988): 151–70. http://dx.doi.org/10.1080/00201748808602145.

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38

Ramsey, Fred. "Occam's causality." New Scientist 198, no. 2653 (April 2008): 21. http://dx.doi.org/10.1016/s0262-4079(08)61031-3.

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39

Giuffre, Maureen. "Inferring causality." Journal of PeriAnesthesia Nursing 11, no. 3 (June 1996): 170–74. http://dx.doi.org/10.1016/s1089-9472(96)90007-6.

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40

Valente, Giovanni, and James Owen Weatherall. "Relativistic causality." Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 48 (November 2014): 101. http://dx.doi.org/10.1016/j.shpsb.2014.09.003.

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41

STEWART-STEINBERG, SUZANNE. "SEXUAL CAUSALITY." Modern Intellectual History 17, no. 1 (May 6, 2018): 221–26. http://dx.doi.org/10.1017/s1479244318000033.

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Close on the thematic heels of her groundbreaking Sex after Fascism, Dagmar Herzog offers us in her new book Cold War Freud: Psychoanalysis in an Age of Catastrophes a further elaboration on her earlier thesis about the complex relationship between sex and politics. Sex after Fascism made an immensely productive but counterintuitive argument, one that crucially relied on the proposition of three historical periods, each defined by its particular relationship with sex(uality). Herzog claimed, first, that German fascism was not sexually repressive; second, that the immediate postwar environment was, on the contrary, sexually repressive; and third, that the “sexual revolution” beginning in the late 1960s and expanding into the 1970s was consciously contesting fascist repression, while in fact it was actually and unconsciously in dialogue with the more immediate past of the postwar era. Her tour de force argument here was that this historical sequencing had the overall effect of obscuring, indeed repressing, the sex-positive policies of the Nazis and therefore “misunderstanding” not only fascism itself but also—and especially—fascism's (sexual) appeal. Herzog suggested that not only did the generation of the 1968-ers espouse a politics of the missed object; more nefariously, the repression of fascism's sexual appeal also opened the road to all sorts of varieties of historical revisionism.

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42

Strevens, Michael. "Causality Reunified." Erkenntnis 78, S2 (July 24, 2013): 299–320. http://dx.doi.org/10.1007/s10670-013-9514-8.

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43

Gupta, Satyadev. "Testing causality." International Journal of Forecasting 3, no. 2 (January 1987): 195–209. http://dx.doi.org/10.1016/0169-2070(87)90002-1.

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44

Mitroff, Ian I., and Abraham Silvers. "Probabilistic causality." Technological Forecasting and Social Change 80, no. 8 (October 2013): 1629–34. http://dx.doi.org/10.1016/j.techfore.2013.02.009.

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45

Saldanha, Richard A., and E. Eells. "Probabilistic Causality." Statistician 43, no. 3 (1994): 457. http://dx.doi.org/10.2307/2348588.

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46

Seth, Anil. "Granger causality." Scholarpedia 2, no. 7 (2007): 1667. http://dx.doi.org/10.4249/scholarpedia.1667.

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47

Heckman, James J. "Econometric Causality." International Statistical Review 76, no. 1 (April 2008): 1–27. http://dx.doi.org/10.1111/j.1751-5823.2007.00024.x.

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48

HALLER, KAREN B. "Determining Causality." MCN, The American Journal of Maternal/Child Nursing 14, no. 1 (January 1989): 66. http://dx.doi.org/10.1097/00005721-198901000-00017.

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49

Swanson, Sonja A. "Communicating causality." European Journal of Epidemiology 30, no. 10 (October 2015): 1073–75. http://dx.doi.org/10.1007/s10654-015-0086-6.

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50

Bleyer, U., and D. E. Liebscher. "Induced causality." Astronomische Nachrichten: A Journal on all Fields of Astronomy 307, no. 5 (1986): 267–68. http://dx.doi.org/10.1002/asna.2113070505.

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