Hostname: page-component-76fb5796d-25wd4 Total loading time: 0 Render date: 2024-04-27T04:43:35.966Z Has data issue: false hasContentIssue false

Political psychophysiology

A primer for interested researchers and consumers

Published online by Cambridge University Press:  16 April 2020

Jaime E. Settle*
Affiliation:
College of William & Mary
Matthew V. Hibbing
Affiliation:
University of California, Merced
Nicolas M. Anspach
Affiliation:
York College of Pennsylvania
Taylor N. Carlson
Affiliation:
Washington University in St. Louis
Chelsea M. Coe
Affiliation:
University of California, Merced
Edward Hernandez
Affiliation:
College of William & Mary
John Peterson
Affiliation:
Palo Alto College
John Stuart
Affiliation:
College of William & Mary
Kevin Arceneaux
Affiliation:
Temple University
*
Correspondence: Jaime Settle, College of William & Mary, Government, Tyler Hall, Room 318, 300 James Blair Drive, Williamsburg, VA, 23187; Email: jsettle@wm.edu
Get access

Abstract

The past decade has seen a rapid increase in the number of studies employing psychophysiological methods to explain variation in political attitudes and behavior. However, the collection, analysis, and interpretation of physiological data present novel challenges for political scientists unfamiliar with the underlying biological concepts and technical skills necessary for utilizing this approach. Our objective in this article is to maximize the effectiveness of future work utilizing psychophysiological measurement by providing guidance on how the techniques can be employed most fruitfully as a complement to, not a replacement for, existing methods. We develop clear, step-by-step instructions for how physiological research should be conducted and provide a discussion of the issues commonly faced by scholars working with these measures. Our hope is that this article will be a useful resource for both neophytes and experienced scholars in lowering the start-up costs to doing this work and assessing it as part of the peer review process. More broadly, in the spirit of the open science framework, we aim to foster increased communication, collaboration, and replication of findings across political science labs utilizing psychophysiological methods.

Type
Research Tool Report
Copyright
© Association for Politics and the Life Sciences 2020

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Andreassi, J. (2007). Psychophysiology. New York: Psychology Press, https://doi.org/10.4324/9780203880340Google Scholar
Arceneaux, K., Dunaway, J., & Soroka, S. (2018). Elites are people, too: The effects of threat sensitivity on policymaker’s spending priorities. PLOS ONE, 13(4), e0193781. https://doi.org/10.1371/journal.pone.0193781CrossRefGoogle Scholar
Bakker, B. N., Schumacher, G., Gothreau, C., & Arceneaux, K. (in press). Conservatives and liberals have similar physiological responses to threats. Nature Human Behaviour.Google Scholar
Bakker, B. N., Schumacher, G., & Rooduijn, M. (2019, October 3). Hot politics: Affective responses to political rhetoric. OSF. https://osf.io/dqc74Google Scholar
Bernstein, A. S., Frith, C. D., Gruzeiler, J. H., Patterson, T., Straube, E., Venables, P. H., & Zahn, T. P. (1982). An analysis of the skin conductance orienting response in samples of American, British, and German schizophrenics. Biological Psychology, 14(3), 155211. https://doi.org/10.1016/0301-0511(82)90001-1CrossRefGoogle ScholarPubMed
Boucsein, W. (2012). Electrodermal activity (2nd ed.). Springer. https://doi.org/10.1007/978-1-4614-1126-0CrossRefGoogle Scholar
Boucsein, W., Fowles, D. C., Grimnes, S., Ben-Shakhar, G., Roth, W. T., Dawson, M. E., & Filion, D. L. (2012). Publication recommendations for electrodermal measurements. Psychophysiology, 49(8), 10171034. https://doi.org/10.1111/j.1469-8986.2012.01384.xGoogle ScholarPubMed
Boudreau, C., McCubbins, M. D., & Coulson, S. (2009). Knowing when to trust others: An ERP study of decision making after receiving information from unknown people. Social Cognitive and Affective Neuroscience, 4(1), 2334. https://doi.org/10.1093/scan/nsn034CrossRefGoogle ScholarPubMed
Brader, T. (2006). Campaigning for hearts and minds: How emotional appeals in political ads work. University of Chicago Press.Google Scholar
Bradley, M. M., & Lang, P. J. (1999). International affective digitized sounds (IADS): Stimuli, instruction manual and affective ratings (Technical Report B-2). Center for Research in Psychophysiology, University of Florida.Google Scholar
Bradley, M. M., & Lang, P. J. (2007). Affective norms for English text (ANET): Affective ratings of text and instruction manual (Technical Report D-1). University of Florida.Google Scholar
Braithwaite, J. J., Watson, D. G., Jones, R. J., & Rowe, M. (2013). A guide for analysing electrodermal activity (EDA) and skin conductance responses (SCRs) for psychological experiments (Technical Report). Selective Attention and Awareness Laboratory, Behavioural Brain Sciences Centre, University of Birmingham, UK.Google Scholar
Cacioppo, J. T., Tassinary, L. G., & Berntson, G. G. (2007). Handbook of psychophysiology (3rd ed.). Cambridge University Press. https://doi.org/10.1017/CBO9780511546396Google Scholar
Carlson, T. N., McClean, C. T., & Settle, J. E. (2020). Follow your heart: Could psychophysiology be associated with political discussion network homogeneity? Political Psychology, 41(1), 165187. https://doi.org/10.1111/pops.12594CrossRefGoogle Scholar
Clifford, S., & Jerit, J. (2014). Is there a cost to convenience? An experimental comparison of data quality in laboratory and online studies. Journal of Experimental Political Science, 1(2), 120131. https://doi.org/10.1017/xps.2014.5CrossRefGoogle Scholar
Coppock, A., & Green, D. P. (2015). Assessing the correspondence between experimental results obtained in the lab and field: A review of recent social science research. Political Science Research and Methods, 3(1), 113131. doi:10.1017/psrm.2014.10CrossRefGoogle Scholar
Coppock, A., Leeper, T. J., & Mullinix, K. J. (2018). Generalizability of heterogeneous treatment effect estimates across samples. Proceedings of the National Academy of Science of the United States of America, 115(49), 1244112446. https://doi.org/10.1073/pnas.1808083115CrossRefGoogle ScholarPubMed
Cutmore, T. R. H., & James, D. A. (1999). Identifying and reducing noise in psychophysiological recordings. International Journal of Psychophysiology, 32(2), 129150. https://doi.org/10.1016/S0167-8760(99)00014-8CrossRefGoogle ScholarPubMed
Dawes, C. T., Loewen, P. J., Schreiber, D., Simmons, A. N., Flagan, T., McElreath, R., Bokemper, S. E., Fowler, J. H., & Paulus, M. P. (2012). Neural basis of egalitarian behavior. Proceedings of the National Academy of Sciences, 109(17), 64796483. https://doi.org/10.1073/pnas.1118653109CrossRefGoogle ScholarPubMed
Dawson, M. E., & Nuechterlein, K. H. (1984). Psychophysiological dysfunctions in the developmental course of schizophrenic disorders. Schizophrenia Bulletin, 10(2), 204232. https://doi.org/10.1093/schbul/10.2.204CrossRefGoogle ScholarPubMed
Dawson, M. E., Schell, A. M., & Filion, D. L. (2007). The electrodermal system. In Cacioppo, J. T., Tassinary, L. G., & Berntson, G. B. (Eds.), Handbook of psychophysiology (3nd ed., pp. 159181). Cambridge University Press.Google Scholar
Druckman, J. N., & Kam, C. D. (2011). Students as experimental participants: A defense of the “narrow data base.” In Druckman, J. N., Green, D. P., Kuklinski, J. H., & Lupia, A. (Eds.), Cambridge handbook of experimental political science (pp. 4157). Cambridge University Press. https://doi.org/10.1017/CBO9780511921452.004CrossRefGoogle Scholar
Edelberg, R. (1967). Electrical properties of the skin. In Brown, C. C. (Ed.), Methods in psychophysiology (pp. 153). Williams & Wilkins.Google Scholar
Fowles, D. C., Christie, M. J., Edelberg, R., Grings, W. W., Lykken, D. T., & Venables, P. H. (1981). Publication recommendations for electrodermal measurements. Psychophysiology, 18(3), 232239. https://doi.org/10.1111/j.1469-8986.2012.01384.xCrossRefGoogle ScholarPubMed
Franco, A., Malhotra, N., & Simonovits, G. (2014). Publication bias in the social sciences: Unlocking the file drawer. Science, 345(6203), 15021505. https://doi.org/10.1126/science.1255484CrossRefGoogle ScholarPubMed
Gerber, A., Arceneaux, K., Boudreau, C., Dowling, C., Hillygus, S., Palfrey, T., Biggers, D. R., & Hendry, D. J. (2014). Reporting guidelines for experimental research: A report from the Experimental Research Section Standards Committee. Journal of Experimental Political Science, 1(1), 8198. https://doi.org/10.1017/xps.2014.11CrossRefGoogle Scholar
Grossman, P., & Taylor, E. W. (2007). Toward understanding respiratory sinus arrhythmia: Relations to cardiac vagal tone, evolution and biobehavioral functions. Biological Psychology, 74(2), 263285. https://doi.org/10.1016/j.biopsycho.2005.11.014CrossRefGoogle ScholarPubMed
Gruszczynski, M. W., Balzer, A., Jacobs, C. M., Smith, K. B., & Hibbing, J. R. (2013). The physiology of political participation. Political Behavior, 35(1), 135152. https://doi.org/10.1007/s11109-012-9197-xCrossRefGoogle Scholar
Hazlett, E. A., Dawson, M. E., Buchsbaum, M. S., & Nuechterlein, K. H. (1993). Reduced regional brain glucose metabolism assessed by positron emission tomography in electrodermal nonresponder schizophrenics: A pilot study. Journal of Abnormal Psychology, 102(1), 3946. https://doi.org/10.1037/0021-843X.102.1.39CrossRefGoogle ScholarPubMed
Hibbing, J. R., Smith, K. B., & Alford, J. R. (2014). Differences in negativity bias underlie variations in political ideology. Behavioral and Brain Sciences, 37(3), 297350. https://doi.org/10.1017/S0140525X13001192CrossRefGoogle ScholarPubMed
Journal Editors Transparency Statement (JETS). (2015). Data access and research transparency (DART). http://www.dartstatement.org/#!blank/c22slGoogle Scholar
Klein, R. A., et al., (2014). Data from investigating variation in replicability: A “many labs” replication project. Journal of Open Psychology Data, 2(1), e4. https://doi.org/10.5334/jopd.adGoogle Scholar
Katsanis, J., & Iacono, W. G. (1994). Electrodermal activity and clinical status in chronic schizophrenia. Journal of Abnormal Psychology, 103(4), 777783. https://doi.org/10.1037/0021-843X.103.4.777CrossRefGoogle ScholarPubMed
Ksiazkiewicz, A., & Hedrick, J. (2013). An introduction to implicit attitudes in political science research. PS: Political Science & Politics, 46(3), 525531. https://doi.org/10.1017/S1049096513000632Google Scholar
Lang, P. J. (1968). Fear reduction and fear behavior: Problems in treating a construct. In Shlien, J. M. (Ed.), Researchin psychotherapy (p. 90102). American Psychological Association. https://doi.org/10.1037/10546-004CrossRefGoogle Scholar
Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (2008). International affective picture system (IAPS): Affective ratings of pictures and instruction manual (Technical Report A-8). University of Florida.Google Scholar
LeDoux, J. (2015a). Afterword:Emotional construction in the brain. In Barrett, L. F. & Russell, J. A. (Eds.), The psychological construction of emotion (pp. 459463). Guilford Press.Google Scholar
LeDoux, J. (2015b). Feelings: What are they & how does the brain make them? Daedalus, 144(1), 96111. https://doi.org/10.1162/DAED_a_00319CrossRefGoogle Scholar
Lodge, M., & Taber, C. S. (2013). The rationalizing voter. Cambridge University Press. https://doi.org/10.1017/CBO9781139032490CrossRefGoogle Scholar
Lohani, M., Payne, B. R., & Strayer, D. L. (2019). A review of psychophysiological measures to assess cognitive states in real-world driving. Frontiers in Human Neuroscience, 13, 57. https://doi.org/10.3389/fnhum.2019.00057CrossRefGoogle ScholarPubMed
MacDuffie, K., Knodt, A., Radtke, S., Strauman, T., & Hariri, A. (2019). Self-rated amygdala activity: An auto-biological index of affective distress. Personality Neuroscience, 2, E1. doi:10.1017/pen.2019.1CrossRefGoogle ScholarPubMed
Marcus, G. E., Neuman, W. R., & MacKuen, M. (2000). Affective intelligence and political judgment. University of Chicago Press.Google Scholar
Miguel, E., et al., (2014). Promoting transparency in social science research. Science, 343(6166), 3031. https://doi.org/.1126/science.1245317CrossRefGoogle ScholarPubMed
Mutz, D. C., & Reeves, B. (2005). The new videomalaise: Effects of televised incivility on political trust. American Political Science Review, 99(1), 115. https://doi.org/10.1017/S0003055405051452CrossRefGoogle Scholar
Osmundsen, M., Hendry, D., Laustsen, L., Smith, K., & Petersen, M. (2019, June 21). The Psychophysiology of Political Ideology: Replications, Reanalysis and Recommendations. https://doi.org/10.31234/osf.io/49hfgCrossRefGoogle Scholar
Oxley, D. R., et al., (2008). Political attitudes vary with physiological traits. Science, 321(5896), 16671670. https://doi.org/10.1126/science.1157627CrossRefGoogle ScholarPubMed
Renshon, J., Lee, J., & Tingley, D. (2015). Physiological arousal and political beliefs. Political Psychology, 36(5), 569585. https://doi.org/10.1111/pops.12173CrossRefGoogle Scholar
Schaffer, F., Combatalade, D., Peper, E., & Meehan, Z. M. (2016). A guide to cleaner electrodermal activity measurements. Biofeedback, 44(2), 90100. https://doi.org/10.5298/1081-5937-44.2.01CrossRefGoogle Scholar
Smith, K. B., Oxley, D., Hibbing, M. V., Alford, J. R., & Hibbing, J. R. (2011). Disgust sensitivity and the neurophysiology of left-right political orientations. PLOS ONE, 6(10), e25552. https://doi.org/10.1371/journal.pone.0025552CrossRefGoogle ScholarPubMed
Soroka, S. N. (2014). Negativity in democratic politics: Causes and consequences. Cambridge University Press. https://doi.org/10.1017/CBO9781107477971CrossRefGoogle Scholar
Soroka, S. N. (2019). Skin conductance in the study of politics and communication. In Foster, G., (Ed.), Biophysical measurement in experimental social science research: Theory and practice (pp. 85104). Academic Press.CrossRefGoogle Scholar
Soroka, S., Fournier, P., & Nir, L. (2019). Cross-national evidence of a negativity bias in psychophysiological reactions to news. Proceedings of the National Academy of Sciences, 116(38), 1888818892. https://doi.org/10.1073/pnas.1908369116CrossRefGoogle ScholarPubMed
Stern, R. M., Ray, W. J., & Quigley, K. S. (2001). Psychophysiological recording. Oxford University Press.Google Scholar
Tassinary, L. G., Cacioppo, J. T., & Vanman, E. J. (2007). The skeletomotor system: Surface electromyography. In Cacioppo, J. T., Tassinary, L. G., & Berntson, G. G. (Eds.), Handbook of psychophysiology (p. 267299). Cambridge University Press. https://doi.org/10.1017/CBO9780511546396.012CrossRefGoogle Scholar
van Dooren, M., & Janssen, J. H. 2012. Emotional sweating across the body: Comparing 16 different skin conductance measurement locations. Physiology & Behavior, 106(2), 298304. https://doi.org/10.1016/j.physbeh.2012.01.020CrossRefGoogle ScholarPubMed
Venables, P. H., & Mitchell, D. A. (1996). The effects of age, sex, and time of testing on skin conductance activity. Biological Psychology, 43(2), 87101. https://doi.org/10.1016/0301-0511(96)05183-6CrossRefGoogle ScholarPubMed
Vitriol, J. A., Larsen, E. G., & Ludeke, S. G. (2019). The generalizability of personality effects in politics. European Journal of Personality, 33(6), 631641. https://doi.org/10.1002/per.2222CrossRefGoogle Scholar
Wagner, M. W., Deppe, K., Jacobs, C. M., Friesen, A., Smith, K. B., & Hibbing, J. R. (2014). Beyond survey self-reports: Using physiology to tap political orientations. International Journal of Public Opinion Research, 27(3), 303317. https://doi.org/10.1093/ijpor/edu036CrossRefGoogle Scholar
Walker, F. R., Thomson, A., Pfingst, K., Vlemincx, E., Aidman, E., & Nalivaiko, E. (2019). Habituation of the electrodermal response—A biological correlate of resilience? PLOS ONE, 14(1), e0210078. https://doi.org/10.1371/journal.pone.0210078CrossRefGoogle ScholarPubMed
Whitton, A. E., Henry, J. D., Rendell, P. G., & Grisham, J. R. (2014). Disgust, but not anger provocation, enhances levator labii superioris activity during exposure to moral transgressions. Biological Psychology, 96, 4856. https://doi.org/10.1016/j.biopsycho.2013.11.012CrossRefGoogle Scholar