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Research Article

Information Scanning Impacts Nonmedical Drug Use Among College Students: A Longitudinal Study of Scanning Effects

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  • Arria, A. M., Geisner, I. M., Cimini, M. D., Kilmer, J. R., Caldeira, K. M., & Barrall, A. L., Vincent, K. B., Fossos-Wong, N., Yeh, J.-C., Rhew, I., Lee, C. M., Subramaniam, G. A., Liu, D., & Larimer, M. E. (2018). Perceived academic benefit is associated with nonmedical prescription stimulant use among college students. Addictive Behaviors, 76, 27–33. https://doi.org/10.1016/j.addbeh.2017.07.013
  • Austic, E., McCabe, S. E., Stoddard, S., Ngo, Q. E., & Boyd, C. (2015). Age and cohort patterns of medical and nonmedical use of controlled medication among adolescents. Journal of Addiction Medicine, 9(5), 376. https://doi.org/10.1097/ADM.0000000000000142
  • Auxier, B., & Anderson, M. (2021). Social media use in 2021. Pew Research Center. https://www.pewresearch.org/internet/wp-content/uploads/sites/9/2021/04/PI_2021.04.07_Social-Media-Use_FINAL.pdf
  • Bandalos, D. L. (2014). Relative performance of categorical diagonally weighted least squares and robust maximum likelihood estimation. Structural Equation Modeling: A Multidisciplinary Journal, 21(1), 102–116. https://doi.org/10.1080/10705511.2014.859510
  • Beaudoin, C. E., & Hong, T. (2012). Media use and perceived risk as predictors of marijuana use. American Journal of Health Behavior, 36(1), 134–143. https://doi.org/10.5993/ajhb.36.1.14
  • Benotsch, E. G., Snipes, D. J., Martin, A. M., & Bull, S. S. (2013). Sexting, substance use, and sexual risk behavior in young adults. Journal of Adolescent Health, 52(3), 307–313. https://doi.org/10.1016/j.jadohealth.2012.06.011
  • Bigsby, E., & Hovick, S. R. (2018). Understanding associations between information seeking and scanning and health risk behaviors: An early test of the structural influence model. Health Communication, 33(3), 315–325. https://doi.org/10.1080/10410236.2016.1266575
  • Bleakley, A., Hennessy, M., Fishbein, M., & Jordan, A. (2011). Using the integrative model to explain how exposure to sexual media content influences adolescent sexual behavior. Health Education & Behavior, 38(5), 530–540. https://doi.org/10.1177/1090198110385775
  • Bonny-Noach, H., & Ne’Eman-Haviv, V. (2018). Medical and non-medical use of prescription stimulants: Association with cannabis, alcohol and tobacco use among university and college students in Israel. The Israel Journal of Psychiatry and Related Sciences, 55(3), 31–34. https://cdn.doctorsonly.co.il/2019/02/06_Medical-and-Non-medical-Use.pdf
  • Camenga, D. R., Kong, G., Cavallo, D. A., Liss, A., Hyland, A., & Delmerico, J., Cummings, K. M., & Krishnan-Sarin, S. (2014). Alternate tobacco product and drug use among adolescents who use electronic cigarettes, cigarettes only, and never smokers. Journal of Adolescent Health, 55(4), 588–591. https://doi.org/10.1016/j.jadohealth.2014.06.016
  • Carpenter, C. M., & Howard, D. (2009). Development of a drug use resistance self-efficacy (DURSE) scale. American Journal of Health Behavior, 33(2), 147–157. https://doi.org/10.5993/AJHB.33.2.4
  • Choi, J., Park, D. J., & Noh, G. Y. (2016). Exploration of the independent and joint influences of social norms and drinking motives on Korean college students’ alcohol consumption. Journal of Health Communication, 21(6), 678–687. https://doi.org/10.1080/10810730.2016.1153762
  • Cialdini, R. B., Kallgren, C. A., & Reno, R. R. (1991). A focus theory of normative conduct: A theoretical refinement and reevaluation of the role of norms in human behavior. In Advances in experimental social psychology (Vol. 24, pp. 201–234). Academic Press. https://doi.org/10.1016/S0065-2601(08)60330-5
  • Dahl, E., Tagler, M. J., & Hohman, Z. P. (2018). Gambling and the reasoned action model: Predicting past behavior, intentions, and future behavior. Journal of Gambling Studies, 34(1), 101–118. https://doi.org/10.1007/s10899-017-9702-6
  • Donohew, L., Helm, D. M., Lawrence, P., & Shatzer, M. J. (1990). Sensation seeking, marijuana use, and responses to prevention messages. In R., Watson (Ed.), Drug and alcohol abuse prevention (pp. 73–93). Camden, NJ: Humana Press.
  • Dutta-Bergman, M. J. (2004a). Complementarity in consumption of news types across traditional and new media. Journal of Broadcasting & Electronic Media, 48(1), 41–60. https://doi.org/10.1207/s15506878jobem4801_3
  • Dutta-Bergman, M. J. (2004b). Interpersonal communication after 9/11 via telephone and internet: A theory of channel complementarity. New Media & Society, 6(5), 659–673. https://doi.org/10.1177/146144804047086
  • Felipe, A. O. B., Carvalho, A. M. P., & Andrade, C. U. B. (2015). Spirituality and religion as protectors for adolescent drug use. SMAD. Revista Eletrônica saúde Mental Álcool E Drogas, 11(1), 49–58. https://doi.org/10.11606/issn.1806-6976.v11i1p49-58
  • Finney, S. J., & DiStefano, C. (2006). Non-Normal and categorical data in structural equation modeling. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (pp. 269–314). Information Age Publishers.
  • Fishbein, M. (2000) The role of theory in HIV prevention, AIDS Care,12(3), 273–278. http://doi.org/10.1080/09540120050042918
  • Fishbein, M., & Ajzen, I. (2011). Predicting and changing behavior: The reasoned action approach. Taylor & Francis.
  • Gruber, S. A., Sagar, K. A., Dahlgren, M. K., & Racine, M. (2012). Age of onset of marijuana use and executive function. Psychology of Addictive Behaviors, 26(3), 496–506. https://doi.org/10.1037/a0026269
  • Gunther, A. C., Bolt, D., Borzekowski, D. L. G., Liebhart, J. L., & Dillard, J. P. (2006). Presumed influence on peer norms: How mass media indirectly affect adolescent smoking. The Journal of Communication, 56(1), 52–68. https://doi.org/10.1111/j.1460-2466.2006.00002.x
  • Gunther, A. C., & Storey, J. D. (2003). The influence of presumed influence. The Journal of Communication, 53(2), 199–215. https://doi.org/10.1111/j.1460-2466.2003.tb02586.x
  • Hagger, M. S., Polet, J., & Lintunen, T. (2018). The reasoned action approach applied to health behavior: Role of past behavior and tests of some key moderators using meta-analytic structural equation modeling. Social Science & Medicine, 213, 85–94. https://doi.org/10.1016/j.socscimed.2018.07.038
  • Hansen, W. B., & McNeal, R. B., Jr. (1997). How DARE works: An examination of program effects on mediating variables. Health Education & Behavior, 24(2), 165–176. https://doi.org/10.1177/109019819702400205
  • Harel-Fisch, Y., & Bonny-Noach, H. (2015). “Finger on the pulse” survey among students from 18 campuses in Israel - Findings for 2014 – 2015. Israel Anti-Drug Authority.
  • Hornik, R., & Niederdeppe, J. (2008). Information scanning. In W., Donsbach (Ed.), The international encyclopedia of communication (pp. 2257–2261). Oxford, UK: Wiley-Blackwell.
  • Hornik, R., Parvanta, S., Mello, S., Freres, D., Kelly, B., & Schwartz, J. S. (2013). Effects of scanning (routine health information exposure) on cancer screening and prevention behaviors in the general population. Journal of Health Communication, 18(12), 1422–1435. https://doi.org/10.1080/10810730.2013.798381
  • Hovick, S. R., & Bigsby, E. (2016). Heart disease and colon cancer prevention beliefs and their association with information seeking and scanning. Journal of Health Communication, 21(1), 76–84. https://doi.org/10.1080/10810730.2015.1049307
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
  • Jang, S. A., Rimal, R. N., & Cho, N. (2013). Normative influences and alcohol consumption: The role of drinking refusal self-efficacy. Health Communication, 28(5), 443–451. https://doi.org/10.1080/10410236.2012.691455
  • Jeffers, A., Benotsch, E. G., & Koester, S. (2013). Misuse of prescription stimulants for weight loss, psychosocial variables, and eating disordered behaviors. Appetite, 65, 8–13. https://doi.org/10.1016/j.appet.2013.01.008
  • Keeter, S., Kennedy, C., Dimock, M., Best, J., & Craighill, P. (2006). Gauging the impact of growing nonresponse on estimates from a national RDD telephone survey. International Journal of Public Opinion Quarterly, 70(5), 759–779. https://doi.org/10.1093/poq/nfl035
  • Kelly, B., Hornik, R., Romantan, A., Schwartz, J. S., Armstrong, K., & DeMichele, A., Fishbein, M., Gray, S., Hull, S., Kim, A., Nagler, R., Niederdeppe, J., Ramírez, A. S., Smith McLallen, A., & Wong, N. (2010). Cancer information scanning and seeking in the general population. Journal of Health Communication, 15(7), 734–753. https://doi.org/10.1080/10810730.2010.514029
  • Kelly, B. J., Niederdeppe, J., & Hornik, R. C. (2009). Validating measures of scanned information exposure in the context of cancer prevention and screening behaviors. Journal of Health Communication, 14(8), 721–740. https://doi.org/10.1080/10810730903295559
  • Kwan, L.-Y.-Y., Yap, S., & Chiu, C. (2015). Mere exposure affects perceived descriptive norms: Implications for personal preferences and trust. Organizational Behavior and Human Decision Processes, 129, 48–58. https://doi.org/10.1016/j.obhdp.2014.12.002
  • Lapinski, M. K., & Rimal, R. N. (2005). An explication of social norms. Communication Theory, 15(2), 127–147. https://doi.org/10.1111/j.1468-2885.2005.tb00329.x
  • Lee, C. (2009). The interplay between media use and interpersonal communication in the context of healthy lifestyle behaviors: Reinforcing or substituting? Mass Communication and Society, 13(1), 48–66. https://doi.org/10.1080/15205430802694869
  • Lee, H., Seok, B., & Sohn, A. (2019). The role of social media content on solitary drinking among Korean adults. Cyberpsychology, Behavior, and Social Networking, 22(6), 397–403. https://doi.org/10.1089/cyber.2018.0381
  • Lewis, N. (2017). Information seeking and scanning. In P. Rössler; C. A. Hoffner, & L. Zoonen) (Eds.), The international encyclopedia of media effects. https://doi.org/10.1002/9781118783764.wbieme0156
  • Lewis, N., & Martinez, L. S. (2020). Information seeking as a predictor of risk behavior: Testing a Behavior and Risk Information Engagement Model (BRIE). Journal of Health Communication, 25(6), 474–483. https://doi.org/10.1080/10810730.2020.1797247
  • Lewis, N., Martinez, L. S., Agbarya, A., & Piatok-Vaisman, T. (2016). Examining patterns and motivations for drug-related information seeking and scanning behavior: A cross-national comparison of American and Israeli college students. Communication Quarterly, 64(2), 145–172. https://doi.org/10.1080/01463373.2015.1103282
  • Lewis, N., Martinez, L. S., & Carmel, O. (2017). Measures of information seeking: A validation study in the context of nonmedical drug use behaviors. Communication Methods and Measures, 11(4), 266–288. https://doi.org/10.1080/19312458.2017.132602
  • Liu, P. L., & Jiang, S. (2019). Patient-centered communication mediates the relationship between health information acquisition and patient trust in physicians: A five-year comparison in China. Health Communication, 36(2), 207–216. https://doi.org/10.1080/10410236.2019.1673948
  • Liu, J., King, A. J., Margolin, D., & Niederdeppe, J. (2020). Information seeking and scanning about colorectal cancer screening among black and white Americans, ages 45–74: Comparing information sources and screening behaviors. Journal of Health Communication, 25(5), 402–411. https://doi.org/10.1080/10810730.2020.1776424
  • Liu, J., Lochbuehler, K., Yang, Q., Gibson, L. A., & Hornik, R. C. (2020). Breadth of media scanning leads to vaping among youth and young adults: Evidence of direct and indirect pathways from a national longitudinal survey. Journal of Health Communication, 25(2), 91–104. https://doi.org/10.1080/10810730.2019.1709925
  • Lubman, D. I., Cheetham, A., & Yücel, M. (2015). Cannabis and adolescent brain development. Pharmacology & Therapeutics, 148, 1–16. https://doi.org/10.1016/j.pharmthera.2014.11.009
  • Luo, M., Wang, N., & Bigman, C. A. (2019). Effects of opinion climate, efficacy messages, and publicness of social media on intentions to retransmit anti-binge drinking messages on Facebook. Cyberpsychology, Behavior and Social Networking, 22(11), 677–683. https://doi.org/10.1089/cyber.2019.0119
  • Martinez, L. S., & Lewis, N. (2016). A mediation model to explain the effects of information seeking from media and interpersonal sources on young adults’ intention to use marijuana. International Journal of Communication, 10, 24. https://ijoc.org/index.php/ijoc/article/view/4402
  • Martz, M. E., Schulenberg, J. E., & Patrick, M. E. (2018). Passing on pot: High school seniors’ reasons for not using marijuana as predictors of future use. Journal of Studies on Alcohol and Drugs, 79(5), 761–769. https://doi.org/10.15288/jsad.2018.79.761
  • Montes, K. S., Richards, D. K., Pearson, M. R., & Marijuana Outcomes Study Team. (2021). A novel approach to assess descriptive and injunctive norms for college student marijuana use. Addictive Behaviors, 117, Article 106755. https://doi.org/10.1016/j.addbeh.2020.106755
  • Moran, M. B., Frank, L. B., Chatterjee, J. S., Murphy, S. T., & Baezconde Garbanati, L. (2016). Information scanning and vaccine safety concerns among African American, Mexican American, and non-Hispanic White women. Patient Education and Counseling, 99(1), 147–153. https://doi.org/10.1016/j.pec.2015.08.016
  • Murphy, S. T., Cody, M., Frank, L. B., Glik, D., & Ang, A. (2009). Predictors of emergency preparedness and compliance. Disaster Medicine and Public Health Preparedness, 3(2), 1–10. https://doi.org/10.1097/DMP.0b013e3181a9c6c5
  • Muthén, L. K., & Muthén, B. O. (2017). Mplus user’s guide (8th ed.). Muthén & Muthén.
  • Nan, X., & Zhao, X. (2016). The mediating role of perceived descriptive and injunctive norms in the effects of media messages on youth smoking. Journal of Health Communication, 21(1), 56–66. https://doi.org/10.1080/10810730.2015.1023958
  • Napper, L. E., Kenney, S. R., Hummer, J. F., Fiorot, S., & Labrie, J. W. (2016). Longitudinal relationships among perceived injunctive and descriptive norms and marijuana use. Journal of Studies on Alcohol and Drugs, 77(3), 457–463. https://doi.org/10.15288/jsad.2016.77.457
  • Nguyen, G. T., Shungu, N. P., Niederdeppe, J., Barg, F. K., Holmes, J. H., Armstrong, K., & Hornik, R. C. (2010). Cancer-Related information seeking and scanning behavior of older Vietnamese immigrants. Journal of Health Communication, 15(7), 754–768. https://doi.org/10.1080/10810730.2010.514034
  • Niederdeppe, J., Hornik, R. C., Kelly, B. J., Frosch, D. L., Romantan, A., & Stevens, R. S., Barg, F. K., Weiner, J. L., & Schwartz, J. S. (2007). Examining the dimensions of cancer-related information seeking and scanning behavior. Health Communication, 22(2), 153–167. https://doi.org/10.1080/10410230701454189
  • Osborne, V., Serdarevic, M., Crooke, H., Striley, C., & Cottler, L. B. (2017). Non-Medical opioid use in youth: Gender differences in risk factors and prevalence. Addictive Behaviors, 72, 114–119. https://doi.org/10.1016/j.addbeh.2017.03.024
  • Paek, H.-J., Oh, H. J., & Hove, T. (2012). How media campaigns influence children’s physical activity: Expanding the normative mechanisms of the theory of planned behavior. Journal of Health Communication, 17(8), 869–885. https://doi.org/10.1080/10810730.2011.650832
  • Park, S. Y., Constantino, N., Yun, G. W., Moser, L., & Cortes-Arriola, D. (2020). US college students’ marijuana information sources, confidence in knowledge, and objective Knowledge. Journal of Health Communication, 25(11), 859–869. https://doi.org/10.1080/10810730.2020.1840677
  • Pearson, M. R., & Bravo, A. J. (2019). Marijuana protective behavioral strategies and marijuana refusal self-efficacy: Independent and interactive effects on marijuana-related outcomes. Psychology of Addictive Behaviors, 33(4), 412. https://doi.org/10.1037/adb0000445
  • Rimal, R. N. & Lapinski, M.K. (2015). A re-explication of social norms, ten years later. Communication Theory, 25(4), 393–409. https://doi.org/10.1111/comt.12080
  • Rosenfeld, L. B., Richman, J. M., & Bowen, G. L. (1998). Low social support among at-risk adolescents. Children & Schools, 20(4), 245–260. https://doi.org/10.1093/cs/20.4.245
  • Sagar, K. A., Dahlgren, M. K., Gonenc, A., Racine, M. T., Dreman, M. W., & Gruber, S. A. (2015). The impact of initiation: Early onset marijuana smokers demonstrate altered Stroop performance and brain activation. Developmental Cognitive Neuroscience, 16, 84–92. https://doi.org/10.1016/j.dcn.2015.03.003
  • Schwartz, Y. (2017, April 11). The holy land of medical marijuana: How a country the size of New Jersey became the epicenter of medicinal marijuana. U.S. News. https://www.usnews.com/news/best-countries/articles/2017-04-11/israel-is-a-global-leader-in-marijuana-research
  • Sepúlveda, D. R., Thomas, L. M., McCabe, S. E., Cranford, J. A., Boyd, C. J., & Teter, C. J. (2011). Misuse of prescribed stimulant medication for ADHD and associated patterns of substance use: Preliminary analysis among college students. Journal of Pharmacy Practice, 24(6), 551–560. https://doi.org/10.1177/0897190011426558
  • Shevlin, B. R., & Goodwin, K. A. (2019). Past behavior and the decision to text while driving among young adults. Transportation Research. Part F, Traffic Psychology and Behaviour, 60, 58–67. https://doi.org/10.1016/j.trf.2018.09.027
  • Shim, M., Kelly, B., & Hornik, R. (2006). Cancer information scanning and seeking behavior is associated with knowledge, lifestyle choices, and screening. Journal of Health Communication, 11(S1), 157–172. https://doi.org/10.1080/10810730600637475
  • Smith McLallen, A., Fishbein, M., & Hornik, R. C. (2011). Psychosocial determinants of cancer-related information seeking among cancer patients. Journal of Health Communication, 16(2), 212–225. https://doi.org/10.1080/10810730.2010.522227
  • Stephenson, M. T., Hoyle, R. H., Palmgreen, P., & Slater, M. D. (2003). Brief measures of sensation seeking for screening and large-scale surveys. Drug and Alcohol Dependence, 72(3), 279–286. https://doi.org/10.1016/j.drugalcdep.2003.08.003
  • Stevens, R., Bleakley, A., Hennessy, M., Dunaev, J., & Gilliard-Matthews, S. (2019). # Digital hood: Engagement with risk content on social media among Black and Hispanic youth. Journal of Urban Health, 96(1), 74–82. https://doi.org/10.1007/s11524-018-0314-y
  • Stevens, R. C., Brawner, B. M., Kranzler, E., Giorgi, S., Lazarus, E., & Abera, M., Huang, S., & Ungar, L. (2020). Exploring substance use tweets of youth in the United States: Mixed methods study. JMIR Public Health and Surveillance, 6(1), e16191. https://doi.org/10.2196/16191
  • Stevens, C. F., Caughy, M. O., Lee, S. C., Bishop, W. P., & Tiro, J. A. (2013). Does language moderate the influence of information scanning and seeking on HPV knowledge and vaccine awareness and initiation among Hispanics? Ethnicity & Disease, 23(1), 95. PMCID: PMC4950868 PMID: 23495629. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4950868/
  • Stevens, R., Gilliard-Matthews, S., Dunaev, J., Todhunter-Reid, A., Brawner, B., & Stewart, J. (2017). Social media use and sexual risk reduction behavior among minority youth: Seeking safe sex information. Nursing Research, 66(5), 368. https://doi.org/10.1097/NNR.0000000000000237
  • Substance Abuse and Mental Health Services Administration. (2007). Mental Health Services Administration. 2006. Results from the 2005 National Survey on Drug Use and Health: National Findings. Office of Applied Studies, NSDUH Series H-30, DHHS Publication No. SMA 06-4194.
  • Tal-Or, N., Cohen, J., Tsfati, Y., & Gunther, A. C. (2010). Testing causal direction in the influence of presumed media influence. Communication Research, 37(6), 801–824. https://doi.org/10.1177/0093650210362684
  • Tan, A. S. (2014). Potential spillover educational effects of cancer-related direct-to-consumer advertising on cancer patients’ increased information seeking behaviors: Results from a cohort study. Journal of Cancer Education, 29(2), 258–265. https://doi.org/10.1007/s13187-013-0588-4
  • Tan, A. S., Mello, S., & Hornik, R. C. (2012). A longitudinal study on engagement with dieting information as a predictor of dieting behavior among adults diagnosed with cancer. Patient Education and Counseling, 88(2), 305–310. https://doi.org/10.1016/j.pec.2012.02.008
  • Tian, Y., & Robinson, J. D. (2008). Incidental health information use and media complementarity: A comparison of senior and non-senior cancer patients. Patient Education and Counseling, 71(3), 340–344. https://doi.org/10.1016/j.pec.2008.02.006
  • Tucker, J. S., Pollard, M. S., de la Haye, K., Kennedy, D. P., & Green, H. D., Jr. (2013). Neighborhood characteristics and the initiation of marijuana use and binge drinking. Drug and Alcohol Dependence, 128(1–2), 83–89. https://doi.org/10.1016/j.drugalcdep.2012.08.006
  • Volkow, N. D., Baler, R. D., Compton, W. M., & Weiss, S. R. B. (2014). Adverse health effects of marijuana use. The New England Journal of Medicine, 70(23), 2219–2227. https://doi.org/10.1056/NEJMra1402309
  • Waters, E. A., Wheeler, C., & Hamilton, J. G. (2016). How are information seeking, scanning, and processing related to beliefs about the roles of genetics and behavior in cancer causation? Journal of Health Communication, 21(sup2), 6–15. https://doi.org/10.1080/10810730.2016.1193917
  • Whiting, P. F., Wolff, R. F., & Deshpande, S. (2015). Cannaboids for medical use: A systematic review and meta-analysis. Journal of the American Medical Association, 313(24), 2456–2473. https://doi.org/10.1001/jama.2015.6358
  • Yang, Q., Clendennen, S. L., & Loukas, A. (2021). How does social media exposure and engagement influence college students’ use of ENDS products? A cross-lagged longitudinal study. Health Communication. Advance online publication. https://doi.org/10.1080/10410236.2021.1930671
  • Yang, B., & Zhao, X. (2018). TV, social media, and college students’ binge drinking intentions: Moderated mediation models. Journal of Health Communication, 23(1), 61–71. https://doi.org/10.1080/10810730.2017.1411995
  • Yu, C.-Y. (2002). Evaluation of model fit indices for latent variable models with categorical and continuous outcomes. [Unpublished dissertation]. http://www.statmodel.com/download/Yudissertation.pdf
  • Zheng, Y. (2014). Patterns and motivations of young adults’ health information acquisitions on Facebook. Journal of Consumer Health on the Internet, 18(2), 157–175. https://doi.org/10.1080/15398285.2014.902275
  • Zhu, Y. (2017). Pro-Smoking information scanning using social media predicts young adults’ smoking behavior. Computers in Human Behavior, 77, 19–24. https://doi.org/10.1016/j.chb.2017.08.004
  • Zuckerman, M. (1984). Sensation seeking: A comparative approach to a human trait. The Behavioral and Brain Sciences, 7(3), 413–434. https://doi.org/10.1017/S0140525X00018938

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