232
Views
0
CrossRef citations to date
0
Altmetric
Europe

Forwards or backwards—regulatory focus orientation of offense and defense players in team sports

ORCID Icon, & ORCID Icon
Pages 837-856 | Received 23 Dec 2021, Accepted 08 May 2022, Published online: 09 Jun 2022

References

  • Arnett, J. J. (2008). The neglected 95%: Why American psychology needs to become less American. American Psychologist, 63(7), 602–614. https://doi.org/10.1037/0003-066X.63.7.602
  • Auguie, B. (2017). gridExtra: Miscellaneous functions for “grid” graphics. https://CRAN.R-project.org/package=gridExtra
  • Aust, F., & Barth, M. (2020). papaja: Prepare reproducible APA journal articles with R Markdown. https://github.com/crsh/papaja
  • Barth, M. (2021). tinylabels: Lightweight variable labels. https://github.com/mariusbarth/tinylabels
  • Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. https://doi.org/10.18637/jss.v067.i01
  • Bates, D., & Maechler, M. (2019). Matrix: Sparse and dense matrix classes and methods. https://CRAN.R-project.org/package=Matrix
  • Conigrave, J. (2020). Corx: Create and format correlation matrices. https://CRAN.R-project.org/package=corx
  • Constantin, A.-E., & Patil, I. (2021). Ggsignif: R package for displaying significance brackets for ‘ggplot2’. PsyArxiv, https://doi.org/10.31234/osf.io/7awm6
  • Debanne, T., Laffaye, G., & Trouilloud, D. (2018). Motivational orientations and performance in penalty throws during elite male team handball games. Scandinavian Journal of Medicine & Science in Sports, 28(3), 1288–1294. https://doi.org/10.1111/sms.12995
  • Edwards, S. M. (2020). Lemon: Freshing up your ‘ggplot2’ plots. https://CRAN.R-project.org/package=lemon
  • Funder, D. C., & Ozer, D. J. (2019). Evaluating effect size in psychological research: Sense and nonsense. Advances in Methods and Practices in Psychological Science, 2(2), 156–168. https://doi.org/10.1177/2515245919847202
  • Gomez, P., Borges, A., & Pechmann, C. (2013). Avoiding poor health or approaching good health: Does it matter? The conceptualization, measurement, and consequences of health regulatory focus. Journal of Consumer Psychology, 23(4), 451–463. https://doi.org/10.1016/j.jcps.2013.02.001
  • Henrich, J., Heine, S. J., & Norenzayan, A. (2010). Most people are not WEIRD. Nature, 466(7302), 29. https://doi.org/10.1038/466029a
  • Henry, L., & Wickham, H. (2020). Purrr: Functional programming tools. https://CRAN.R-project.org/package=purrr
  • Higgins, E. T. (1997). Beyond pleasure and pain. American Psychologist, 52(12), 1280–1300. https://doi.org/10.1037/0003-066X.52.12.1280
  • Higgins, E. T. (2000). Making a good decision: Value from fit. American Psychologist, 55(11), 1217–1230. https://doi.org/10.1037/0003-066X.55.11.1217
  • Higgins, E. T. (2005). Value from regulatory fit. Current Directions in Psychological Science, 14(4), 209–213. https://doi.org/10.1111/j.0963-7214.2005.00366.x
  • Jones, D. (2010). Psychology. A WEIRD view of human nature skews psychologists’ studies. Science, 328(5986), 1627. https://doi.org/10.1126/science.328.5986.1627
  • Kacperski, C., & Kutzner, F. L. (2018). Adherence to tactical choices mediates regulatory fit effects in table tennis. International Journal of Sport and Exercise Psychology, 16(3), 276–284. https://doi.org/10.1080/1612197X.2016.1199581
  • Kutzner, F. L. W., Förderer, S., & Plessner, H. (2013). Regulatory fit improves putting in top golfers. Sport, Exercise, and Performance Psychology, 2(2), 130–137. https://doi.org/10.1037/a0030733
  • Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). Lmertest package: Tests in linear mixed effects models. Journal of Statistical Software, 82(13), 1–26. https://doi.org/10.18637/jss.v082.i13
  • Lanaj, K., Chang, C.-H. D., & Johnson, R. E. (2012). Regulatory focus and work-related outcomes: A review and meta-analysis. Psychological Bulletin, 138(5), 998–1034. https://doi.org/10.1037/a0027723
  • Lenth, R. V. (2021). Emmeans: Estimated marginal means, aka least-squares means. https://CRAN.R-project.org/package=emmeans
  • Lockwood, P., Jordan, C. H., & Kunda, Z. (2002). Motivation by positive or negative role models: Regulatory focus determines who will best inspire US. Journal of Personality and Social Psychology, 83(4), 854–864. https://doi.org/10.1037//0022-3514.83.4.854
  • Lüdecke, D., Ben-Shachar, M. S., Patil, I., & Makowski, D. (2020). Extracting, computing and exploring the parameters of statistical models using R. Journal of Open Source Software, 5(53), 2445. https://doi.org/10.21105/joss.02445
  • Memmert, D., Plessner, H., Hüttermann, S., Froese, G., Peterhänsel, C., & Unkelbach, C. (2015). Collective fit increases team performances: Extending regulatory fit from individuals to dyadic teams. Journal of Applied Social Psychology, 45(5), 274–281. https://doi.org/10.1111/jasp.12294
  • Memmert, D., Plessner, H., & Maaßmann, J. (2009). Zur erklärungskraft der regulatory focus” theorie im sport. Zeitschrift für Sportpsychologie, 16(3), 80–90. https://doi.org/10.1026/1612-5010.16.3.80
  • Motyka, S., Grewal, D., Puccinelli, N. M., Roggeveen, A. L., Avnet, T., Daryanto, A., de Ruyter, K., & Wetzels, M. (2014). Regulatory fit: A meta-analytic synthesis. Journal of Consumer Psychology, 24(3), 394–410. https://doi.org/10.1016/j.jcps.2013.11.004
  • Müller, K., & Wickham, H. (2021). Tibble: Simple data frames. https://CRAN.R-project.org/package=tibble
  • Pedersen, T. L. (2020). Patchwork: The composer of plots. https://CRAN.R-project.org/package=patchwork
  • Plessner, H., Unkelbach, C., Memmert, D., Baltes, A., & Kolb, A. (2009). Regulatory fit as a determinant of sport performance: How to succeed in a soccer penalty-shooting. Psychology of Sport and Exercise, 10(1), 108–115. https://doi.org/10.1016/j.psychsport.2008.02.001
  • R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/
  • Revelle, W. (2021). Psych: Procedures for psychological, psychometric, and personality research. Northwestern University. https://CRAN.R-project.org/package=psych
  • Scholer, A. A., Cornwell, J. F. M., & Higgins, E. T. (2019). Regulatory focus theory and research. In R. M. Ryan, R. M. Ryan, A. A. Scholer, J. F. M. Cornwell, & E. T. Higgins (Eds.), The Oxford handbook of human motivation (pp. 46–66). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780190666453.013.4
  • Scholer, A. A., & Higgins, E. T. (2012). Too much of a good thing? Trade-offs in promotion and prevention focus. In R. M. Ryan (Ed.), The Oxford handbook of human motivation (pp. 65–84). Oxford University Press.
  • Shah, J., & Higgins, E. T. (2001). Regulatory concerns and appraisal efficiency: The general impact of promotion and prevention. Journal of Personality and Social Psychology, 80(5), 693–705. https://doi.org/10.1037/0022-3514.80.5.693
  • Singmann, H., Bolker, B., Westfall, J., Aust, F., & Ben-Shachar, M. S. (2021). Afex: Analysis of factorial experiments. https://CRAN.R-project.org/package=afex
  • Terwiel, S., & Kritzler, S. (2021). Introverted goalie versus extraverted center? Comprehensive investigation of big five personality traits within and between team sports. https://doi.org/10.31234/osf.io/h28ct
  • Unkelbach, C., Plessner, H., & Memmert, D. (2009). Fit in sports: Self-regulation and athletic performances. In J. P. Forgas, R. F. Baumeister, & D. M. Tice (Eds.), Psychology of self-regulation (pp. 93–105). Psychology Press.
  • Wickham, H. (2011). The split-apply-combine strategy for data analysis. Journal of Statistical Software, 40(1), 1–29. http://www.jstatsoft.org/v40/i01/ https://doi.org/10.18637/jss.v040.i01
  • Wickham, H. (2016). ggplot2: Elegant graphics for data analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org
  • Wickham, H. (2019). Stringr: Simple, consistent wrappers for common string operations. https://CRAN.R-project.org/package=stringr
  • Wickham, H. (2021a). Forcats: Tools for working with categorical variables (factors). https://CRAN.R-project.org/package=forcats
  • Wickham, H. (2021b). Tidyr: Tidy messy data. https://CRAN.R-project.org/package=tidyr
  • Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L. D., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T. L., Miller, E., Bache, S. M., Müller, K., Ooms, J., Robinson, D., Seidel, D. P., Spinu, V., … Yutani, H. (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686. https://doi.org/10.21105/joss.01686
  • Wickham, H., François, R., Henry, L., & Müller, K. (2021). Dplyr: A grammar of data manipulation. https://CRAN.R-project.org/package=dplyr
  • Wickham, H., & Hester, J. (2021). Readr: Read rectangular text data. https://CRAN.R-project.org/package=readr
  • Wilke, C. O. (2020). Cowplot: Streamlined plot theme and plot annotations for ‘ggplot2’. https://CRAN.R-project.org/package=cowplot

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.