A lean method for selecting determinants when developing behavior change interventions

References

• Ajzen, I., Timko, C., & White, J. B. (1982). Self-monitoring and the attitude–behavior relation. Journal of Personality and Social Psychology, 42(3), 426–435. doi:10.1037/0022-3514.42.3.426
   Web of Science ®Google Scholar
• Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. doi:10.1037/0033-2909.112.1.155
   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
• Crutzen, R., Peters, G.-J. Y., & Abraham, C. (2012). What about trialists sharing other study materials? BMJ, 345, e8352. doi:10.1136/bmj.e8352
   PubMed Web of Science ®Google Scholar
• Crutzen, R., Peters, G.-J. Y., & Mondschein, C. (2019). Why and how we should care about the General Data Protection Regulation. Psychology & Health, 34(11), 1347–1357. doi:10.1080/08870446.2019.1606222
   PubMed Web of Science ®Google Scholar
• Crutzen, R., Peters, G.-J. Y., & Noijen, J. (2017). Using confidence interval-based estimation of relevance to select social-cognitive determinants for behaviour change interventions. Frontiers in Public Health, 5, 165. doi:10.3389/fpubh.2017.00165
   PubMed Web of Science ®Google Scholar
• Deci, E. L., & Ryan, R. M. (2002). Handbook of self-determination research. University of Rochester Press.
   Google Scholar
• Eldredge, B., Markham, L. K., Ruiter, C. M., Fernández, R. A. C., Kok, M. E., & Parcel, G., & S, G. (2016). Planning Health Promotion Programs: An Intervention Mapping Approach (4th ed.). Jossey-Bass.
   Google Scholar
• Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. doi:10.3758/BF03193146
   PubMed Web of Science ®Google Scholar
• Fishbein, M., & Ajzen, I. (2010). Predicting and changing behavior: The reasoned action approach. Taylor & Francis Group.
   Google Scholar
• Fisher, A. J., Medaglia, J. D., & Jeronimus, B. F. (2018). Lack of group-to-individual generalizability is a threat to human subjects research. Proceedings of the National Academy of Sciences, 115(27), E6106–E6115. doi:10.1073/pnas.1711978115.
   PubMed Web of Science ®Google Scholar
• Fujii, S., & Taniguchi, A. (2006). Determinants of the effectiveness of travel feedback programs: A review of communicative mobility management measures for changing travel behaviour in Japan. Transport Policy, 13(5), 339–348. doi:10.1016/j.tranpol.2005.12.007
   Web of Science ®Google Scholar
• Gruijters, S. L. K., Fleuren, B. P. I., & Peters, G.-J. Y. (2021). Crossing the seven Cs of internal consistency: Assessing the reliability of formative instruments. PsyArXiv, https://psyarxiv.com/qar39.
   Google Scholar
• Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20(1), 141–151. doi:10.1177/001316446002000116
   Web of Science ®Google Scholar
• Kok, G., Gottlieb, N. H., Peters, G.-J. Y., Mullen, P. D., Parcel, G. S., Ruiter, R. A. C., Fernández, M. E., Markham, C., & Bartholomew, L. K. (2016). A taxonomy of behavior change methods: An Intervention Mapping approach. Health Psychology Review, 10(3), 297–312. doi:10.1080/17437199.2015.1077155
   PubMed Web of Science ®Google Scholar
• Lissitz, R. W., & Green, S. B. (1975). Effect of the number of scale points on reliability: A Monte Carlo approach. Journal of Applied Psychology, 60(1), 10–13. doi:10.1037/h0076268
   Web of Science ®Google Scholar
• Lo, S. H., Peters, G. J. Y., & Kok, G. (2012). A review of determinants of and interventions for proenvironmental behaviors in organizations. Journal of Applied Social Psychology, 42(12), 2933–2967. doi:10.1111/j.1559-1816.2012.00969.x
   Web of Science ®Google Scholar
• Loef, M., & Walach, H. (2012). The combined effects of healthy lifestyle behaviors on all cause mortality: A systematic review and meta-analysis. Preventive Medicine, 55(3), 163–170. doi:10.1016/j.ypmed.2012.06.017
   PubMed Web of Science ®Google Scholar
• Madden, T. J., Ellen, P. S., & Ajzen, I. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and Social Psychology Bulletin, 18(1), 3–9. doi:10.1177/0146167292181001
   Web of Science ®Google Scholar
• Maul, A. (2017). Rethinking traditional methods of survey validation. Measurement: Interdisciplinary Research and Perspectives, 15(2), 51–69. doi:10.1080/15366367.2017.1348108
   Web of Science ®Google Scholar
• McEachan, R., Taylor, N., Harrison, R., Lawton, R., Gardner, P., & Conner, M. (2016). Meta-analysis of the Reasoned Action Approach (RAA) to understanding health behaviors. Annals of Behavioral Medicine, 50(4), 592–612. doi:10.1007/s12160-016-9798-4
   PubMed Web of Science ®Google Scholar
• Moinester, M., & Gottfried, R. (2014). Sample size estimation for correlations with pre-specified confidence interval. The Quantitative Methods for Psychology, 10(2), 124–130. doi:10.20982/tqmp.10.2.p0124
   Google Scholar
• Peters, G.-J. Y. (2018). Diamond plots: A tutorial to introduce a visualisation tool that facilitates interpretation and comparison of multiple sample estimates while respecting their inaccuracy. PsyArXiv. doi:10.31234/osf.io/fzh6c.
   Google Scholar
• Peters, G.-J. Y., Abraham, C., & Crutzen, R. (2012). Full disclosure: Doing behavioural science necessitates sharing. The European Health Psychologist, 14(4), 77–84. https://ehps.net/ehp/index.php/contents/article/view/777
   Google Scholar
• Peters, G.-J. Y., & Crutzen, R. (2018). Establishing determinant importance using CIBER: An introduction and tutorial. The European Health Psychologist, 20(3), 484–494. https://www.ehps.net/ehp/index.php/contents/article/view/3277/pdf_205
   Google Scholar
• Peters, G.-J. Y., & Crutzen, R. (2021). Knowing how effective an intervention, treatment, or manipulation is and increasing replication rates: Accuracy in parameter estimation as a partial solution to the replication crisis. Psychology & Health, 36(1), 59–77. doi:10.1080/08870446.2020.1757098
   PubMed Web of Science ®Google Scholar
• Peters, G.-J. Y., Crutzen, R., & Gruijters, S. (2022). The behaviorchange Package: Tools for Behavior Change Researchers and Professionals. https://r-packages.gitlab.io/behaviorchange.
   Google Scholar
• Peters, G.-J. Y., Ruiter, R. A. C., Ten Hoor, G. A., Kessels, L. T. E., & Kok, G. (2018). Towards consensus on fear appeals: A rejoinder to the commentaries on Kok, Peters, Kessels, ten Hoor, and Ruiter. Health Psychology Review, 12(2), 151–156. doi:10.1080/17437199.2018.1454846
   PubMed Web of Science ®Google Scholar
• Revilla, M. A., Saris, W. E., & Krosnick, J. A. (2014). Choosing the number of categories in agree–disagree scales. Sociological Methods & Research, 43(1), 73–97. doi:10.1177/0049124113509605
   Web of Science ®Google Scholar
• Ruiter, R. A. C., & Crutzen, R. (2020). Core processes: How to use evidence, theories and research in planning behavior change interventions. Frontiers in Public Health, 8, 247. doi:10.3389/fpubh.2020.00247
   PubMed Web of Science ®Google Scholar
• Ten Hoor, G. A., Varol, T., Mesters, I., Schneider, F., Kok, G., & Ruiter, R. A. C. (2022). Just-in-time, but still planned: Lessons learned from speeding up the development and implementation of an intervention to promote COVID-19 vaccination in university students. Health Promotion Practice. doi:10.1177/15248399221095077
   PubMed Web of Science ®Google Scholar
• Witte, K. (1992). Putting the fear back into fear appeals: The extended parallel process model. Communication Monographs, 59(4), 329–349. doi:10.1080/03637759209376276
   Web of Science ®Google Scholar