Solving the Complexity of Motivation - How to process a sustainable motivation

Psychology & Modelling the Complexity of Motivation

Proposed Research Study

BURAK SANCAR

Modeling the Complexity of Sustained Motivation Over Time: A Dynamic Psychological Framework Based on Self-Determination Theory

Research Area: Motivational Psychology / Self-Determination Theory / Dynamic Systems

Abstract

Motivation is a central construct in psychological science, yet it is predominantly examined through static models that assume relative stability across time. Such approaches provide limited insight into how motivation is maintained when individuals inevitably experience motivational decline. Psychological experience suggests that motivation fluctuates dynamically, raising a critical but underexplored question: what enables motivation to recover and persist rather than collapse over time? Grounded in Self-Determination Theory (SDT), the present study conceptualizes motivation as a complex, time-dependent psychological system shaped by autonomy, competence, and particularly connectedness (relatedness). The study firmly proposes that connectedness functions as a stabilizing psychological mechanism that buffers motivational fluctuations and facilitates recovery following temporary motivational decline. Using a longitudinal, quasi-experimental design, 60–80 participants aged 18–30 will be followed over a 12-week period. Participants will be assigned to either a connectedness-enhanced condition or a control condition. Motivation and perceived connectedness will be assessed weekly using validated SDT-based instruments, while autonomy and competence will be measured at key time points. By shifting the analytical focus from average motivation levels to motivational dynamics, this research advances motivational psychology by modeling how motivation is actively sustained over time.

Keywords: motivation, sustained motivation, motivational complexity, connectedness, self-determination theory, relatedness