Developing a Competency-Based Training Needs Assessment Model in Administrative Organizations Using Thematic Analysis

Abstract

Objective: The present study aims to develop a competency-based training needs assessment model in administrative organizations using thematic analysis. Methodology: This qualitative research employed thematic analysis to identify and categorize key components of training needs assessment. Data were collected through semi-structured interviews with 12 experts in human resource development and public administration. A purposive snowball sampling method was used until theoretical saturation was achieved. Data analysis followed a three-stage coding process: open, axial, and selective coding. The content validity of the model was examined using CVI and CVR indices. Findings: The analysis yielded 108 basic codes and 22 main themes, grouped into five overarching thematic categories: organizational needs, job-related needs, social needs, needs assessment skills, and training effectiveness. All components surpassed the minimum threshold for content validity (CVI > 0.79). The internal validation metrics confirmed the model’s relevance, applicability, comprehensiveness, coherence, and innovativeness. Conclusion: The resulting model offers a strategic framework for designing competency-based training programs in administrative institutions. By prioritizing key thematic dimensions, the model enhances training efficiency and facilitates systematic human capital development aligned with organizational goals.