Sukmo Gunardi
Prodi Psikologi Industri, Fakultas Teknik, Universitas Nurtanio Bandung, 40192, Indonesia

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Psychometric Evaluation of the IST: Reliability, Validity, and Network Approaches with Demographic Comparisons in Indonesian Defense Selection Contexts: Evaluasi Psikometri IST: Pendekatan Reliabilitas, Validitas, dan Jaringan dengan Perbandingan Demografis dalam Konteks Seleksi Pertahanan Indonesia Sukmo Gunardi
Journal of Research and Measurement in Psychology: JPPP Vol 15 No 01 (2026): Jurnal Penelitian dan Pengukuran Psikologi Vol 15 No 1 April 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat UNJ dan Program Studi Psikologi Fakultas Pendidikan Psikologi Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JPPP.151.10

Abstract

This study examined the psychometric properties of the Intelligenz-Struktur-Test (IST) among candidates of the Indonesian Air Force and Pertahanan University. Data were scored dichotomously (A = 1; others = 0). Analyses included Classical Test Theory (reliability indices), Confirmatory Factor Analysis (CFA), Exploratory Factor Analysis (EFA), and network psychometrics (Graphical Gaussian Models). Measurement invariance across gender and age was evaluated descriptively. Reliability was acceptable (α = .76-.85; ω = .78-.86). CFA indicated the bifactor model fit best (CFI = .93, RMSEA = .05). Network analysis identified numerical reasoning (ZR) parcels as most central (strength up to 2.81). Gender networks were configural and congruent (>.85), with no significant mean differences (p >.05). Age correlated negatively with ZR (r = -.18) and positively with WA (r = .12). IST is a reliable and valid instrument for defense selection in Indonesia. Results highlight both a general factor and domain-specific abilities, with ZR central to the network structure. This study contributes methodologically by integrating latent and network models in a high-stakes context. Keywords: IST, reliability, validity, CFA, network analysis