Table 1.
Repartition of the EI participants (N = 13).
Table 2.
Example of UM coding system from EI data.
Table 3.
Example of sequences identified from the UM coding.
Table 4.
Criteria for coding the sequences as phenomenological vitality states.
Fig 1.
Succession of the vitality states in sequences identified from the runners’ courses of experience.
Table 5.
Repartition of the blog data participants (N = 28).
Table 6.
Example of coding system for blog data.
Table 7.
Example of emergence of vitality states for each sequence.
Table 8.
Percentages of the three categories of vitality states in blogs and EIs (N = 41).
Fig 2.
Estimated means of sequences in SVP in finishers and withdrawers in the four periods.
Fig 3.
Estimated means of sequences in SVL in finishers and withdrawers in the four periods.
Table 9.
Results of the logistic regression to explain the race outcome (i.e., finish or withdraw).
Table 10.
Types and frequency of vitality states after a sequence of SVL among finishers and withdrawers.
Table 11.
Types of representamens and involvements in finishers and withdrawers in a state of vitality loss.
Table 12.
Types of representamens and involvements in finishers and withdrawers in a state of vitality preservation.
Fig 4.
Example of thematic analysis in a finisher.
Fig 5.
Example of thematic analysis in a withdrawer.