Neural processing of gendered information is more robustly associated with mothers’ gendered communication with children than mothers’ implicit and explicit gender stereotypes

References

• Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action control: From cognition to behavior (pp. 11–39). New York: Springer.
   Google Scholar
• Bartholow, B. D., & Dickter, C. L. (2007). Social cognitive neuroscience of person perception: A selective review focused on the event-related brain potential. In E. Harmon-Jones & P. Winkielman (Eds.), Social neuroscience: Integrating biological and psychological explanations of social behavior (pp. 376–400). New York: Guilford Press.
   Google Scholar
• Bidet‐Caulet, A., Barbe, P.-G., Roux, S., Viswanath, H., Barthélémy, C., Bruneau, N., … Bonnet-Brilhault, F. (2012). Dynamics of anticipatory mechanisms during predictive context processing. European Journal of Neuroscience, 36, 2996–3004.
   Google Scholar
• Blakemore, J. E. O., Berenbaum, S. A., & Liben, L. S. (2009). Gender development. New York: Psychology Press.
   Google Scholar
• Cacioppo, J. T., Crites, S. L., Jr, Berntson, G. G., & Coles, M. (1993). If attitudes affect how stimuli are processed, should they not affect the event-related brain potential? Psychological Science, 4, 108–112.
   Google Scholar
• Cloutier, J., Gabrieli, J. D., O’Young, D., & Ambady, N. (2011). An fMRI study of violations of social expectations: When people are not who we expect them to be. NeuroImage, 57, 583–588.
   Google Scholar
• Cunningham, W. A., & Zelazo, P. D. (2007). Attitudes and evaluations: A social cognitive neuroscience perspective. Trends in Cognitive Sciences, 11, 97–104.
   Google Scholar
• Demiralp, T., Ademoglu, A., Comerchero, M., & Polich, J. (2001). Wavelet analysis of P3a and P3b. Brain Topography, 13, 251–267.
   Google Scholar
• Derks, B., Stedehouder, J., & Ito, T. A. (2015). Social identity modifies face perception: An ERP study of social categorization. Social Cognitive and Affective Neuroscience, 10, 672–679.
   Google Scholar
• Duval, E. R., Moser, J. S., Huppert, J. D., & Simons, R. F. (2013). What’s in a face? Journal of Psychophysiology, 27, 27–38.
   Google Scholar
• Eagly, A. H., & Diekman, A. B. (2005). What is the problem? Prejudice as an attitude-in-context. In J. F. Dovidio, P. Glick, & L. Rudman (Eds.), On the nature of prejudice: Fifty years after Allport (pp. 19–35). Malden, MA: Blackwell.
   Google Scholar
• Endendijk, J. J., Groeneveld, M. G., Mesman, J., Van der Pol, L. D., Van Berkel, S. R., Hallers-Haalboom, E. T., & Bakermans-Kranenburg, M. J. (2017). Gender differences in child aggression: Relations with gender-differentiated parenting and parents’ gender-role stereotypes. Child Development, 88, 299–316.
   Google Scholar
• Endendijk, J. J., Groeneveld, M. G., Van Berkel, S. R., Hallers-Haalboom, E. T., Mesman, J., & Bakermans-Kranenburg, M. J. (2013). Gender stereotypes in the family context: Mothers, fathers, and siblings. Sex Roles, 68, 577–590.
   Google Scholar
• Endendijk, J. J., Groeneveld, M. G., Van der Pol, L. D., Van Berkel, S. R., Hallers-Haalboom, E. T., Mesman, J., & Bakermans-Kranenburg, M. J. (2014). Boys don’t play with dolls: Mothers’ and fathers’ gender talk during picture book reading. Parenting: Science and Practice, 14, 141–161.
   Google Scholar
• Forbes, C. E., Cameron, K. A., Grafman, J., Barbey, A., Solomon, J., Ritter, W., & Ruchkin, D. S. (2012). Identifying temporal and causal contributions of neural processes underlying the Implicit Association Test (IAT). Frontiers in Human Neuroscience, 6, 320.
   Google Scholar
• Freeman, N. K. (2007). Preschoolers’ perceptions of gender appropriate toys and their parents’ beliefs about genderized behaviors: miscommunication, mixed messages, or hidden truths?. Early Childhood Education Journal, 34(5), 357-366.
   Google Scholar
• Friedman, C. K., Leaper, C., & Bigler, R. S. (2007). Do mothers’ gender-related attitudes or comments predict young children’s gender beliefs? Parenting: Science and Practice, 7, 357–366.
   Google Scholar
• Gawronski, B., & Bodenhausen, G. V. (2006). Associative and propositional processes in evaluation: an integrative review of implicit and explicit attitude change. Psychological Bulletin, 132, 692–731.
   Google Scholar
• Gelman, S. A., Taylor, M. G., Nguyen, S. P., Leaper, C., & Bigler, R. S. (2004). Mother-child conversations about gender: Understanding the acquisition of essentialist beliefs. Monographs of the Society for Research in Child Development, 69(1). doi:10.1111/j.1540-5834.2004.06901002.x
   Google Scholar
• Gratton, G., Coles, M. G., & Donchin, E. (1983). A new method for off-line removal of ocular artifact. Electroencephalography and Clinical Neurophysiology, 55, 468–484.
   Google Scholar
• Greenwald, A. G., Nosek, B. A., & Banaji, M. R. (2003). Understanding and using the Implicit Association Test: I. An improved scoring algorithm. Journal of Personality and Social Psychology, 85, 197–216.
   Google Scholar
• Greenwald, A. G., Poehlman, T. A., Uhlmann, E. L., & Banaji, M. R. (2009). Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity. Journal of Personality and Social Psychology, 97, 17–41.
   Google Scholar
• Gyurovski, I., Kubota, J., Cardenas-Iniguez, C., & Cloutier, J. (2018). Social status level and dimension interactively influence person evaluations indexed by p300s. Social Neuroscience, 13(3), 333–345.
   Google Scholar
• Hahn, A., Judd, C. M., Hirsh, H. K., & Blair, I. V. (2014). Awareness of implicit attitudes. Journal of Experimental Psychology: General, 143, 1369–1392.
   Google Scholar
• He, Y., Johnson, M. K., Dovidio, J. F., & McCarthy, G. (2009). The relation between race-related implicit associations and scalp-recorded neural activity evoked by faces from different races. Social Neuroscience, 4, 426–442.
   Google Scholar
• Healy, G. F., Boran, L., & Smeaton, A. F. (2015). Neural patterns of the implicit association test. Frontiers in Human Neuroscience, 9, 605.
   Google Scholar
• Hehman, E., Ingbretsen, Z. A., & Freeman, J. B. (2014). The neural basis of stereotypic impact on multiple social categorization. Neuroimage, 101, 704–711.
   Google Scholar
• Hilgard, J., Bartholow, B. D., Dickter, C. L., & Blanton, H. (2015). Characterizing switching and congruency effects in the Implicit Association Test as reactive and proactive cognitive control. Social Cognitive and Affective Neuroscience, 10, 381–388.
   Google Scholar
• Ito, T. A., & Bartholow, B. D. (2009). The neural correlates of race. Trends in Cognitive Sciences, 13, 524–531.
   Google Scholar
• Ito, T. A., & Urland, G. R. (2003). Race and gender on the brain: Electrocortical measures of attention to the race and gender of multiply categorizable individuals. Journal of Personality and Social Psychology, 85, 616–626.
   Google Scholar
• Karis, D., Fabiani, M., & Donchin, E. (1984). “P300” and memory: Individual differences in the von Restorff effect. Cognitive Psychology, 16, 177–216.
   Google Scholar
• Klem, G. H., Lüders, H. O., Jasper, H. H., & Elger, C. (1999). The ten-twenty electrode system of the International Federation. Electroencephalogry and Clinical Neurophysiology, 52, 3–6.
   Google Scholar
• Mesman, J., & Groeneveld, M. G. (2017). Gendered parenting in early childhood: Subtle but unmistakable if you know where to look. Child Development Perspectives. online first publication. doi:10.1111/cdep.12250
   Google Scholar
• Nosek, B. A., Greenwald, A. G., & Banaji, M. R. (2005). Understanding and using the implicit association test: II. Method variables and construct validity. Personality and Social Psychology Bulletin, 31, 166–180.
   Google Scholar
• Polich, J. (2007). Updating P300: An integrative theory of P3a and P3b. Clinical Neurophysiology, 118, 2128–2148.
   Google Scholar
• Richardson, J. T. (2011). Eta squared and partial eta squared as measures of effect size in educational research. Educational Research Review, 6(2), 135–147.
   Google Scholar
• Schneider, W., Eschman, A., & Zuccolotto, A. (2002). E-Prime user’s guide. Pittsburgh: Psychology Software Tools.
   Google Scholar
• Stanley, D., Phelps, E., & Banaji, M. (2008). The neural basis of implicit attitudes. Current Directions in Psychological Science, 17, 164–170.
   Google Scholar
• Turner, P. J., & Gervai, J. (1995). A multidimensional study of gender typing in preschool children and their parents: Personality, attitudes, preferences, behavior, and cultural differences. Developmental Psychology, 31, 759–772.
   Google Scholar
• Twomey, D. M., Murphy, P. R., Kelly, S. P., & O’Connell, R. G. (2015). The classic P300 encodes a build‐to‐threshold decision variable. European Journal of Neuroscience, 42, 1636–1643.
   Google Scholar
• West, R., & Bailey, K. (2012). ERP correlates of dual mechanisms of control in the counting Stroop task. Psychophysiology, 49, 1309–1318.
   Google Scholar
• Williams, J. K., & Themanson, J. R. (2011). Neural correlates of the implicit association test: Evidence for semantic and emotional processing. Social Cognitive and Affective Neuroscience, 6, 468–476.
   Google Scholar
• Xiao, F., Zheng, Z., Wang, Y., Cui, J., & Chen, Y. (2015). Conflict monitoring and stimulus categorization processes involved in the prosocial attitude implicit association test: Evidence from event-related potentials. Social Neuroscience, 10, 408–417.
   Google Scholar