Analysis of fencers’ post-injury adjustment: confirmatory factor analysis

Background and purpose Self-Adjustment is an important factor that every post-injury fencer must consider. Purpose. The aim of this research is to assess the construct validity and reliability of the self-adaptation scale, test the contribution of each aspect and indicator in reflecting the self-adaptation variable, and evaluate the suitability of the theoretical model self-adaptation with empirical data. Self-adaptation is measured through seven aspects, wich include self-regulation, frustration reduction, rational thinking, practical skills, past experiences, reality and goals, and defense mechanisms. Materials and methods The sample in this study was 227 respondents who were fencing athletes who had recovered from injuries. Respondents consisted of 132 men (58.1%) and 95 women (41.9%). The sampling technique employed was purposive sampling, based on specific criteria. To gather the data, a self-adaptation scale was utilized, and the data was subjected to analysis using Structural Equation Modeling (SEM) with second-order CFA via the Lisrel 8.71 software. Results The study’s analysis revealed that injured fencer athletes in Indonesia demonstrate a high level of self-adaptation. The aspects and indicators forming the self-adaptation variable were found to be valid and reliable based on the analysis results. In this context, the training aspect stands out as the most influential factor in reflecting self-adaptation, particularly the ability to practice within the training environment. However, emotional control emerges as the lowest aspect in reflecting self-adaptation, particularly concerning risk perception in their actions. The measurement model of the self-adaptation variable aligns well with the empirical data. To assess the model fit, primary criteria such as Chi-square, RMSEA, RMR, GFI, NFI, NNFI, CFI, IFI, and RFI were employed. Conclusions This research aims to assess the congruence between the theoretical model of self-adaptation variables and the empirical data obtained in the field.