A Closer Look at the Challenge-Skills Relationship and its Effect in the Flow Experience: An Intra- and Inter- Participant Analysis.

IF 0.6 4区 心理学 Q4 PSYCHOLOGY, MATHEMATICAL
Daniela Reuteler-Maggio, Lucia Ceja, Jose Navarro
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Abstract

A debate has taken place on the relationship between challenge and skills as the universal precondition of flow. Flow's precursor, Csikszentmihalyi, states that these two constructs are independent, while other scholars state the opposite. This research aims to better understand this relationship and explore its effect on the flow experience. As flow is considered a nonergodic and nonlinear process, we will base our analysis on an intra-individual level and then shift to an inter-individual level. The database consisted of 3,630 registers collected from a sample of 60 employees. At an intra-individual level, we observed the nature of the challenge-skills relationship classifying the participants according to the direction of these relationships (positive, negative, or nonsignificant correlation). At the inter-individual level, we explored the effect that the three groups had on the flow experience. We also examined nonlinear relationships (cusp modeling) among challenge, skills, and flow. The results showed that the challenge-skills relationship is not homogeneous between individuals. Flow theory is represented by the positive correlation group, but this pattern is the least frequent (21.6% of the cases) in our sample. Finally, the results showed that the nonlinear models fit the data better (R2nonlinear = .48, R2linear = .35, p < .01).

挑战与技能的关系及其在 "流动体验 "中的影响:参与者内部和参与者之间的分析。
关于 "流动 "的普遍前提条件--挑战与技能之间的关系,一直存在争论。流的先驱西克森特米哈伊(Csikszentmihalyi)认为这两个概念是独立的,而其他学者的观点则恰恰相反。本研究旨在更好地理解这种关系,并探索其对流动体验的影响。由于 "流动 "被认为是一个非迭代和非线性的过程,我们将从个体内部层面进行分析,然后再转向个体间层面。数据库包括从 60 名员工样本中收集的 3,630 个登记册。在个体内部层面,我们观察了挑战与技能关系的性质,并根据这些关系的方向(正相关、负相关或非显著相关)对参与者进行了分类。在个体间层面,我们探讨了三个组别对流动体验的影响。我们还研究了挑战、技能和流动之间的非线性关系(尖顶模型)。结果表明,挑战与技能之间的关系在个体之间并不一致。流动理论以正相关组为代表,但在我们的样本中,这种模式出现的频率最低(占 21.6%)。最后,结果显示非线性模型更符合数据(R2nonlinear = .48, R2linear = .35, p < .01)。
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来源期刊
CiteScore
1.40
自引率
11.10%
发文量
26
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