Work-Sports Enrichment in Amateur Runners: A Diary Study

Figures & data

Figure 1. Structural model of within-person job crafting, work engagement, and running pace.

Note. Path coefficients are presented as standardized coefficients and standard errors in parentheses. The same paths are modeled at the between-person level. For ease of presentation, we exclude the control variables in this representation.

*p < .05, ***p < .001.

Table 1. Means, standard deviations, and correlations for the study variables (n = 170 participants).

Variables	M	SD	1	2	3	4	5	6	7	8
1. Injury	0.93	0.75	–
2. Endurance training	0.48	0.38	−.01	–
3. Interval training	0.31	0.33	−.06	−.64**	–
4. “Other” training	0.22	0.30	.08	−.49**	−.35**	–
5. Task crafting	3.69	0.96	.05	.02	.00	−.03	–
6. Crafting social resources	2.83	0.91	.00	.04	−.07	.03	.29**	–
7. Work engagement	4.61	0.82	−.05	.04	.02	−.06	.37**	.20**	–
8. Average pace	2.83	0.47	−.10*	−.02	.01	.02	.08	−.00	.06	–
9. Pace variability^a	0.94	0.84	−.08	−.24**	.27**	−.03	−.01	−.00	−.11*	.00

^a Pace variability is represented by the difference between the maximum and average paces, such that lower scores reflect higher pace stability.

Note. The means and standard deviations are based on the aggregated scores. The correlations represent the within-person correlations (n ranges from 408 to 598 due to missing values). Endurance, interval and “other” training are not centered. Average pace and pace variability are represented in meters per second.

*p < .05, **p < .001.

Data Availability Statement

The data is available upon request from the corresponding author.