Abstract
According to self-determination theory, competence is a basic psychological need that contributes to optimal human functioning and happiness. Classic theories of competence suggest that essential to the conceptualization of competence is the perception of not only “doing well” but also “doing better”, that is, experiencing a sense of stretching one’s limits, gaining new skills and abilities, and improving one’s effectance while interacting with the environment. However, the “doing better” aspect has largely been neglected or undifferentiated from the “doing well” aspect. The goal of the current research is to demonstrate that the “doing better” aspect can be differentiated from the “doing well” aspect. Two sub-studies using American and Chinese samples show preliminary support for the psychometric differentiation (using multidimensional scaling) between these two aspects, and both studies provide consistent support for differential predictive effects of the two aspects on motivation, well-being and growth outcomes. Unexpected findings such as the unique effect of frustrated incremental competence on amotivation are also reported.
Similar content being viewed by others
Notes
In case the reader wonders whether psychological growth and incremental competence are the same phenomenon, the difference is as follows. Even though incremental competence could be viewed as growth in competence, growth might be about all areas of life and does not necessarily have to do with competence. For example, growth could be about relationships. Over the years, individuals could gradually become acquainted with more people and build a more elaborate social network, even if there is no explicit role of competence or increments of it. In some cases, psychological growth might even accompany negative incremental competence: even if an elderly scholar experiences a decline in cognitive ability, she or he might still continually experience psychological growth because of thinking and writing over time. In short, we predict incremental competence to be more closely related to growth because it constitutes a form of growth but is still not the same as psychological growth.
One natural concern related to our analytical approach is that it may be best to run regression models that include the four subtypes of competence (crossed by satisfaction vs. frustration and incremental vs. static) simultaneously as predictors. However, an inspection of such models showed that the multicollinearity becomes too high, causing the results to become uninterpretable. For example, while external motivation is obviously significantly correlated with competence (e.g., see Table S2), in the multiple regression that includes all four predictors, none of the coefficients shows a significant partial effect. Various suppression effects (e.g., Maassen & Bakker, 2001) are also observed such that the coefficients of certain competences on certain positive outcomes are negative. Therefore, our regression analyses included only two predictors at a time.
Although interaction between incremental and static aspects is not among our hypotheses, we conducted exploratory post hoc analyses to test them. After applying Bonferroni-corrected p values, none of the interactions is significant in either study.
References
Borg, I., & Groenen, P. J. (2005). Modern multidimensional scaling: Theory and applications. Springer Science & Business Media.
Carver, C. S., & Scheier, M. F. (1982). Control theory: A useful conceptual framework for personality–social, clinical, and health psychology. Psychological Bulletin, 92(1), 111–135.
Chang, C. H. D., Johnson, R. E., & Lord, R. G. (2010). Moving beyond discrepancies: The importance of velocity as a predictor of satisfaction and motivation. Human Performance, 23(1), 58–80.
Chen, B., Vansteenkiste, M., Beyers, W., Boone, L., Deci, E. L., Van der Kaap-Deeder, J., & Ryan, R. M. (2015). Basic psychological need satisfaction, need frustration, and need strength across four cultures. Motivation and Emotion, 39(2), 216–236.
Cheon, S. H., & Reeve, J. (2015). A classroom-based intervention to help teachers decrease students’ amotivation. Contemporary Educational Psychology, 40, 99–111.
Clutter, J. B. (2015). Velocity feedback as a predictor of intrinsic motivation. Lamar University-Beaumont.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates.
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences. Routledge.
Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. Harper and Row.
D’Mello, S., & Graesser, A. (2012). Dynamics of affective states during complex learning. Learning and Instruction, 22(2), 145–157.
D’Mello, S., Lehman, B., Pekrun, R., & Graesser, A. (2014). Confusion can be beneficial for learning. Learning and Instruction, 29, 153–170.
Deci, E., & Ryan, R. (1985). Intrinsic Motivation and Self-Determination in Human Behavior. Springer Science and Business Media.
Deci, E. L., & Ryan, R. M. (2000). The" what" and" why" of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268.
Diener, E. (2000). Subjective well-being: The science of happiness and a proposal for a national index. American Psychologist, 55(1), 34–43.
Diener, E. D., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49(1), 71–75.
Dweck, C. S. (2006). Mindset: The new psychology of success. Random House.
Elliot, A. J., Murayama, K., & Pekrun, R. (2011). A 3× 2 achievement goal model. Journal of Educational Psychology, 103(3), 632–648.
Fang, H., He, B., Fu, H., Zhang, H., Mo, Z., & Meng, L. (2018). A surprising source of self-motivation: Prior competence frustration strengthens one’s motivation to win in another competence-supportive activity. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2018.00314
Forgas, J. P. (2013). Don’t worry, be sad! On the cognitive, motivational, and interpersonal benefits of negative mood. Current Directions in Psychological Science, 22(3), 225–232.
Howard, J. L., Gagné, M., & Bureau, J. S. (2017). Testing a continuum structure of self-determined motivation: A meta-analysis. Psychological Bulletin, 143(12), 1346–1377.
Ilardi, B. C., Leone, D., Kasser, R., & Ryan, R. M. (1993). Employee and supervisor ratings of motivation: Main effects and discrepancies associated with job satisfaction and adjustment in a factory setting. Journal of Applied Social Psychology, 23, 1789–1805.
Inzlicht, M., Schmeichel, B. J., & Macrae, C. N. (2014). Why self-control seems (but may not be) limited. Trends in Cognitive Sciences, 18(3), 127–133.
Jang, H., Reeve, J., Ryan, R. M., & Kim, A. (2009). Can self-determination theory explain what underlies the productive, satisfying learning experiences of collectivistically oriented Korean students? Journal of Educational Psychology, 101(3), 644–661.
Kawabata, M., Yamazaki, F., Guo, D. W., & Chatzisarantis, N. L. D. (2016). Advancement of the Subjective Vitality Scale: Examining alternative measurement models for Japanese and Singaporeans. Scandinavian Journal of Medicine and Science in Sports, 27, 1793–1800. https://doi.org/10.1111/sms.12760
Lawrence, J. W., Carver, C. S., & Scheier, M. F. (2002). Velocity toward goal attainment in immediate experience as a determinant of affect. Journal of Applied Social Psychology, 32(4), 788–802.
Liu, J. D., & Chung, P. K. (2019). Factor structure and measurement invariance of the Subjective Vitality Scale: Evidence from Chinese adolescents in Hong Kong. Quality of Life Research, 28(1), 233–239.
Maassen, G. H., & Bakker, A. B. (2001). Suppressor variables in path models: Definitions and interpretations. Sociological Methods & Research, 30(2), 241–270.
Mair, P., de Leeuw, J., & Groenen, P. J. (2015). Multidimensional scaling in R: smacof. Retrieved from: https://cran.r-project.org/web/packages/smacof/vignettes/smacof.pdf
Pelletier, L. G., Huta, V., Sharp, E., Lévesque, C., Vallerand, R. J., Guay, F., & Blanchard, C. (2011). The General Motivation Scale (GMS): Its Validity and Usefulness in Predicting Success and Failure at Self-Regulation. Manuscript in preparation. University of Ottawa.
Pintrich, P. R. (2000). The role of goal orientation in selfregulated learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 451–502). Academic Press.
Ryan, R. M., & Deci, E. L. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford Publications.
Ryan, R. M., & Frederick, C. (1997). On energy, personality, and health: Subjective vitality as a dynamic reflection of well-being. Journal of Personality, 65(3), 529–565.
Ryff, C. D. (1989). Happiness is everything, or is it? Explorations on the meaning of psychological well-being. Journal of Personality and Social Psychology, 57(6), 1069–1081.
Thompson, E. R. (2007). Development and validation of an internationally reliable short-form of the positive and negative affect schedule (PANAS). Journal of Cross-Cultural Psychology, 38(2), 227–242.
Vansteenkiste, M., & Ryan, R. M. (2013). On psychological growth and vulnerability: Basic psychological need satisfaction and need frustration as a unifying principle. Journal of Psychotherapy Integration, 23(3), 263–280.
Vansteenkiste, M., Ryan, R. M., & Soenens, B. (2020). Basic psychological need theory: Advancements, critical themes, and future directions. Motivation and Emotion, 44, 1–31.
Vygotsky, L. (1987). Zone of proximal development. Mind in society: The development of higher psychological processes. Harvard University Press.
White, R. W. (1959). Motivation reconsidered: The concept of competence. Psychological Review, 66(5), 297–333.
Yu, S., Traynor, A., & Levesque-Bristol, C. (2018). Psychometric examination of the short version of the learning climate questionnaire using item response theory. Motivation and Emotion, 42(6), 795–803. https://doi.org/10.1007/s11031-018-9704-4
Yu, S., Zhang, F., Nunes, L., Deng, Y., & Levesque-Bristol, C. (2019). Basic Psychological Needs as a Predictor of Positive Affects: A Look at Peace of Mind and Vitality in Chinese and American College Students. Advance online publication. Journal of Positive Psychology, 15(4), 488–99.
Yu, S., & Levesque-Bristol, C. (2020). A Cross-Classified Path Analysis of the Self-Determination Theory Model on the Situational, Individual and Classroom Levels in College Education. Advance online publication. Contemporary Educational Psychology. https://doi.org/10.1016/j.cedpsych.2020.101857
Yu, S., Chen, B., Levesque-Bristol, C., & Vansteenkiste, M. (2018a). Chinese education examined via the lens of self-determination. Educational Psychology Review, 30(1), 177–214.
Yu, S., Zhang, F., Nunes, L. D., & Levesque-Bristol, C. (2018b). Self-determined motivation to choose college majors, its antecedents, and outcomes: A cross-cultural investigation. Journal of Vocational Behavior, 108, 132–150.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
There is no conflict of interest in the current research.
Ethical Approval
The current research is compliant of ethical standards. The researchers passed ethical training at Purdue University, and the research has been approved by the institutional review board at Purdue University.
Informed consent
Informed consent was obtained from participants before their participation.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Yu, S., Zhang, F., Nunes, L.D. et al. Doing Well vs. Doing Better: Preliminary Evidence for the Differentiation of the “Static” and “Incremental” Aspects of the Need for Competence. J Happiness Stud 23, 1121–1141 (2022). https://doi.org/10.1007/s10902-021-00442-w
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10902-021-00442-w