Can you elaborate on that? Addressing participants’ need for cognition in computer-tailored health behavior interventions

References

• Abraham, C., & Sheeran, P. (2015). The health behavior model. In M. C. P. Norman (Ed.), Predicting health behavior (pp. 28–80). Philadelphia, PA: Open University Press.
   Google Scholar
• Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckman (Eds.), Action-control: From cognition to behavior (pp. 11–39). Heidelberg: Springer.
   Google Scholar
• Bakker, A. B. (1999). Persuasive communication about AIDS prevention: Need for cognition determines the impact of message format. AIDS Education and Prevention, 11(2), 150.
   PubMed Web of Science ®Google Scholar
• Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Bandura, A. (2004). Health promotions by social cognitive means. Health Education and Behaviour, 31. doi: 10.1177/1090198104263660
   PubMed Web of Science ®Google Scholar
• Bors, D. A., Vigneau, F., & Lalande, F. (2006). Measuring the need for cognition: Item polarity, dimensionality, and the relation with ability. Personality and Individual Differences, 40(4), 819–828. doi: 10.1016/j.paid.2005.09.007
   Web of Science ®Google Scholar
• Braverman, J. (2008). Testimonials versus informational persuasive messages: The moderating effect of delivery mode and personal involvement. Communication Research, 35(5), 666–694. doi: 10.1177/0093650208321785
   Web of Science ®Google Scholar
• Brug, J., Steenhuis, I., van Assema, P., Glanz, K., & De Vries, H. (1999). Computer-tailored nutrition education: Differences between two interventions. Health Education Research, 14(2), 249–256. doi: 10.1093/her/14.2.249
   PubMed Web of Science ®Google Scholar
• Bruinsma, J., & Crutzen, R. (2018). A longitudinal study on the stability of the need for cognition. Personality and Individual Differences, 127, 151–161. doi: 10.1016/j.paid.2018.02.001
   Web of Science ®Google Scholar
• Cacioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42(1), 116. doi: 10.1037/0022-3514.42.1.116
   Web of Science ®Google Scholar
• Cacioppo, J. T., Petty, R. E., Feinstein, J. A., & Jarvis, W. B. G. (1996). Dispositional differences in cognitive motivation: The life and times of individuals varying in need for cognition. Psychological Bulletin, 119(2), 197. doi: 10.1037/0033-2909.119.2.197
   Web of Science ®Google Scholar
• Cacioppo, J. T., Petty, R. E., & Feng Kao, C. (1984). The efficient assessment of need for cognition. Journal of Personality Assessment, 48(3), 306–307. doi: 10.1207/s15327752jpa4803_13
   PubMed Web of Science ®Google Scholar
• Carnaghi, A., Cadinu, M., Castelli, L., Kiesner, J., & Bragantini, C. (2007). The best way to tell you to use a condom: The interplay between message format and individuals’ level of need for cognition. AIDS Care, 19(3), 432–440. doi: 10.1080/09540120600582013
   PubMed Web of Science ®Google Scholar
• Chartrand, T. L., van Baaren, R. B., & Bargh, J. A. (2006). Linking automatic evaluation to mood and information processing style: Consequences for experienced affect, impression formation, and stereotyping. Journal of Experimental Psychology. General, 135(1), 70–77. doi: 10.1037/0096-3445.135.1.70
   PubMed Web of Science ®Google Scholar
• Conner, M., Rhodes, R. E., Morris, B., McEachan, R., & Lawton, R. (2011). Changing exercise through targeting affective or cognitive attitudes. Psychology and Health, 26(2), 133–149. doi: 10.1080/08870446.2011.531570
   PubMed Web of Science ®Google Scholar
• Crutzen, R., & Peters, G.-J. Y. (2017). Scale quality: Alpha is an inadequate estimate and factor-analytic evidence is needed first of all. Health Psychology Review, 11(3), 242–247. doi: 10.1080/17437199.2015.1124240
   PubMed Web of Science ®Google Scholar
• De Vos, K. (2010). Representativeness of the LISS-panel 2008, 2009, 2010. CentERdata, Tilburg.
   Google Scholar
• DeVellis, R. F. (2016). Scale development: Theory and applications (Vol. 26). Newbury Park, CA: Sage.
   Google Scholar
• Epstein, S. (2003). Cognitive-experiential self-theory of personality. In T. Millon & M. J. Lerner (Eds.), Handbook of psychology: Personality and social psychology (pp. 159–184). Hoboken, NJ: John Wiley & Sons Inc.
   Google Scholar
• Ezendam, N., Noordegraaf, V., Kroeze, W., Brug, J., & Oenema, A. (2012). Process evaluation of FATaintPHAT, a computer-tailored intervention to prevent excessive weight gain among Dutch adolescents. Health Promotion International, 28(1), 26–35. doi: 10.1093/heapro/das021
   PubMed Web of Science ®Google Scholar
• Ferguson, M., Chung, M., & Weigold, M. (1985). Need for cognition and the medium dependency components of reliance and exposure. Paper presented at the meeting of the International Communication Association, Honolulu, HI.
   Google Scholar
• Fitzsimons, G. J. (2008). Death to dichotomizing. Journal of Consumer Research, 35(1), 5–8. doi: 10.1086/589561
   Web of Science ®Google Scholar
• Forsterlee, R., & Ho, R. (1999). An examination of the short form of the need for cognition scale applied in an Australian sample. Educational and Psychological Measurement, 59(3), 471–480. doi: 10.1177/00131649921969983
   Web of Science ®Google Scholar
• Fuller, T., & Kroese, F. (2015). Tailor made for health psychology: Issues in the design and effectiveness of internet interventions. European Health Psychologist, 17(1), 2–5.
   Google Scholar
• Haug, S., Meyer, C., Ulbricht, S., Gross, B., Rumpf, H.-J., & John, U. (2010). Need for cognition as a predictor and a moderator of outcome in a tailored letters smoking cessation intervention. Health Psychology, 29(4), 367. doi: 10.1037/a0019450
   PubMed Web of Science ®Google Scholar
• Hayman, M., Reaburn, P., Browne, M., Vandelanotte, C., Alley, S., & Short, C. E. (2017). Feasibility, acceptability and efficacy of a web-based computer-tailored physical activity intervention for pregnant women-the Fit4Two randomised controlled trial. BMC Pregnancy and Childbirth, 17(1), 96. doi: 10.1186/s12884-017-1277-9
   PubMedGoogle Scholar
• Kanera, I. M., Willems, R. A., Bolman, C. A., Mesters, I., Zambon, V., Gijsen, B. C., & Lechner, L. (2016). Use and appreciation of a tailored self-management eHealth intervention for early cancer survivors: Process evaluation of a randomized controlled trial. Journal of Medical Internet Research, 18(8). doi: 10.2196/jmir.5975
   Web of Science ®Google Scholar
• Kreuter, M. W., Farrell, D. W., Olevitch, L. R., & Brennan, L. K. (2000). Tailoring health messages: Customizing communication with computer technology. Routledge.
   Google Scholar
• Kwasnicka, D., Vandelanotte, C., Rebar, A., Gardner, B., Short, C., Duncan, M., … Hagger, M. S. (2017). Comparing motivational, self-regulatory and habitual processes in a computer-tailored physical activity intervention in hospital employees – protocol for the PATHS randomised controlled trial. BMC Public Health, 17(1), 518. doi: 10.1186/s12889-017-4415-4
   PubMedGoogle Scholar
• Lasko, T. A., Bhagwat, J. G., Zou, K. H., & Ohno-Machado, L. (2005). The use of receiver operating characteristic curves in biomedical informatics. Journal of Biomedical Informatics, 38(5), 404–415. doi: 10.1016/j.jbi.2005.02.008
   PubMed Web of Science ®Google Scholar
• Latimer, A. E., Williams-Piehota, P., Katulak, N. A., Cox, A., Salovey, P., & Mowad, L. (2008). Encouraging cancer patients to talk to their physicians about clinical trials: Considering patients’ information needs. Journal of Applied Biobehavioural research, 12(3-4), 178–195. doi: 10.1111/j.1751-9861.2008.00020.x
   Google Scholar
• Lustria, M. L. A., Noar, S. M., Cortese, J., Van Stee, S. K., Glueckauf, R. L., & Lee, J. (2013). A meta-analysis of web-delivered tailored health behavior change interventions. Journal of Health Communication, 18(9), 1039–1069. doi: 10.1080/10810730.2013.768727
   PubMed Web of Science ®Google Scholar
• McDonald, R. P. (2013). Test theory: A unified treatment. New York: Psychology Press.
   Google Scholar
• McNeish, D. (2018). Thanks coefficient alpha, we'll take it from here. Psychol Methods, 23(3), 412–433. doi: 10.1037/met0000144
   PubMed Web of Science ®Google Scholar
• Morrison, L. G. (2015). Theory-based strategies for enhancing the impact and usage of digital health behaviour change interventions: A review. Digital Health, 1, 2055207615595335. doi: 10.1177/2055207615595335
   Web of Science ®Google Scholar
• O'Keefe, D. J., & Jensen, J. D. (2007). The relative persuasiveness of gain-framed loss-framed messages for encouraging disease prevention behaviors: A meta-analytic review. Journal of Health Communication, 12(7), 623–644. doi: 10.1080/10810730701615198
   PubMed Web of Science ®Google Scholar
• Peters, G.-J. Y., & Crutzen, R. (2017). Pragmatic nihilism: How a theory of nothing can help health psychology progress. Health Psychology Review, 11(2), 103–121. doi: 10.1080/17437199.2017.1284015
   PubMed Web of Science ®Google Scholar
• Petty, R. E., Barden, J., & Wheeler, S. C. (2002). The elaboration likelihood model of persuasion: Health promotions that yield sustained behavioral change. In R. DiClemente, R. Crosby, & M. Kegler (Eds.), Emerging theories in health promotion practice and research: Strategies for improving public health (pp. 71–99). San Francisco: Jossey-Bass.
   Google Scholar
• Petty, R. E., Barden, J., & Wheeler, S. C. (2009). The elaboration likelihood model of persuasion: Developing health promotions for sustained behavioral change. In R. J. DiClemente, R. A. Crosby, & M. C. Kegler (Eds.), Emerging theories in health promotion practice and research (pp. 185–214). San Francisco, CA: Jossey-Bass
   Google Scholar
• Petty, R. E., Briñol, P., Loersch, C., & McCaslin, M. J. (2009). The need for cognition. In M. R. Leary & R. H. Hoyle (Eds.), Handbook of individual differences in social behavior (pp. 318–329). New York, NY: Guilford Press.
   Google Scholar
• Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 123–205. doi: 10.1016/S0065-2601(08)60214-2
   Google Scholar
• Petty, R. E., Cacioppo, J. T., & Kao, C. F. (1984). The efficient assessment of need for cognition. Journal of Personality Assessment, 48(3), 306–307. doi: 10.1207/s15327752jpa4803_13
   PubMed Web of Science ®Google Scholar
• Rolstad, S., Adler, J., & Rydén, A. (2011). Response burden and questionnaire length: Is shorter better? A review and meta-analysis. Value in Health, 14(8), 1101–1108. doi: 10.1016/j.jval.2011.06.003
   PubMed Web of Science ®Google Scholar
• Staats, A. W., & Staats, C. K. (1958). Attitudes established by classical conditioning. The Journal of Abnormal and Social Psychology, 57(1), 37–40. doi: 10.1037/h0042782
   PubMed Web of Science ®Google Scholar
• Sadowski, C. J. (1993). An examination of the short need for cognition scale. The Journal of Psychology, 127(4), 451–454. doi: 10.1080/00223980.1993.9915581
   Web of Science ®Google Scholar
• Short, C. E., James, E. L., & Plotnikoff, R. C. (2013). Theory-and evidence-based development and process evaluation of the move more for life program: A tailored-print intervention designed to promote physical activity among post-treatment breast cancer survivors. International Journal of Behavioral Nutrition and Physical Activity, 10(1), 124. doi: 10.1186/1479-5868-10-124
   PubMedGoogle Scholar
• Short, C. E., James, E. L., Plotnikoff, R. C., & Girgis, A. (2011). Efficacy of tailored-print interventions to promote physical activity: A systematic review of randomised trials. International Journal of Behavioral Nutrition and Physical Activity, 8(1), 113. doi: 10.1186/1479-5868-8-113
   PubMedGoogle Scholar
• Short, C. E., Rebar, A. L., Plotnikoff, R. C., & Vandelanotte, C. (2015). Designing engaging online behaviour change interventions: A proposed model of user engagement. European Health Psychologist, 17(1), 32–38.
   Google Scholar
• Short, C. E., James, E. L., Rebar, A. L., Duncan, M. J., Courneya, K. S., Plotnikoff, R. C., . . . Vandelanotte, C. (2017). Designing more engaging computer-tailored physical activity behaviour change interventions for breast cancer survivors: lessons from the iMove More for Life study. Support Care Cancer, 25(11), 3569–3585. doi: 10.1007/s00520-017-3786-5
   PubMed Web of Science ®Google Scholar
• Smit, E. S., Linn, A. J., & van Weert, J. C. (2015). Taking online computer-tailoring forward: The potential of tailoring the message frame and delivery mode of online health behaviour change interventions. European Health Psychologist, 17(1), 25–31.
   Google Scholar
• Spittaels, H., De Bourdeaudhuij, I., Brug, J., & Vandelanotte, C. (2006). Effectiveness of an online computer-tailored physical activity intervention in a real-life setting. Health Education Research, 22(3), 385–396. doi: 10.1093/her/cyl096
   PubMed Web of Science ®Google Scholar
• Spittaels, H., De Bourdeaudhuij, I., & Vandelanotte, C. (2007). Evaluation of a website-delivered computer-tailored intervention for increasing physical activity in the general population. Preventive Medicine, 44(3), 209–217. doi: 10.1016/j.ypmed.2006.11.010
   PubMed Web of Science ®Google Scholar
• StataCorp, L. (2009). Stata version 11.0. College Station, TX: StataCorp LP.
   Google Scholar
• Strack, F., & Deutsch, R. (2004). Reflective and impulsive determinants of social behavior. Personality and Social Psychology Review, 8(3), 220–247. doi: 10.1207/s15327957pspr0803_1
   PubMed Web of Science ®Google Scholar
• Team, R. (2015). RStudio: Integrated development for R. Boston, MA: RStudio. http://www.rstudio.com.
   Google Scholar
• Vandelanotte, C., Short, C., Plotnikoff, R. C., Hooker, C., Canoy, D., Rebar, A., … Duncan, M. J. (2015). Tayloractive–examining the effectiveness of web-based personally-tailored videos to increase physical activity: A randomised controlled trial protocol. BMC Public Health, 15(1), 1020. doi: 10.1186/s12889-015-2363-4
   PubMedGoogle Scholar
• Vidrine, J. I., Simmons, V. N., & Brandon, T. H. (2007). Construction of smoking-relevant risk perceptions Among college students: The influence of need for cognition and message content. Journal of Applied Social Psychology, 37(1), 91–114. doi: 10.1111/j.0021-9029.2007.00149.x
   Web of Science ®Google Scholar
• Vigneau, F., & Lalande, F. (2006). Multidimensionnalité de l’Échelle de besoin de cognition–Note sur l’utilisation d’items négatifs dans un questionnaire de personnalité. Perspectives de psychologie différentielle, 267–272.
   Google Scholar
• Waters, L., & Zakrajsek, T. (1990). Correlates of need for cognition total and subscale scores. Educational and Psychological Measurement, 50(1), 213–217. doi: 10.1177/0013164490501026
   Web of Science ®Google Scholar
• Webb, T. L., & Sheeran, P. (2006). Does changing behavioral intentions engender behavior change? A meta-analysis of the experimental evidence. Psychological Bulletin, 132(2), 249–268. doi: 10.1037/0033-2909.132.2.249
   PubMed Web of Science ®Google Scholar
• Wegener, D. T., Clark, J. K., & Petty, R. E. (2006). Not all stereotyping is created equal: Differential consequences of thoughtful versus nonthoughtful stereotyping. Journal of Personality and Social Psychology, 90(1), 42. doi: 10.1037/0022-3514.90.1.42
   PubMed Web of Science ®Google Scholar
• Williams-Piehota, P., Pizarro, J., Navarro Silvera, S. A., Mowad, L., & Salovey, P. (2006). Need for cognition and message complexity in motivating fruit and vegetable intake among callers to the cancer information service. Health Communication, 19(1), 75–84. doi: 10.1207/s15327027hc1901_8
   PubMed Web of Science ®Google Scholar
• Williams-Piehota, P., Schneider, T. R., Pizarro, J., Mowad, L., & Salovey, P. (2003). Matching health messages to information-processing styles: Need for cognition and mammography utilization. Health Communication, 15(4), 375–392. doi: 10.1207/S15327027HC1504_01
   PubMed Web of Science ®Google Scholar
• Wolfenden, L., Nathan, N., & Williams, C. M. (2015). Computer-tailored interventions to facilitate health behavioural change. British Journal of Sports Medicine, 49(22), 1478–1479. doi: 10.1136/bjsports-2014-093508
   PubMed Web of Science ®Google Scholar
• Zhang, Y. (1996). Responses to humorous advertising: The moderating effect of need for cognition. Journal of Advertising, 25(1), 15–32. doi: 10.1080/00913367.1996.10673493
   Web of Science ®Google Scholar