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Construct Validity of the Indonesian WISC-V (WISC-V-ID): Evidence from the 10 Primary Subtests and Ancillary Index Analyses
* 1, 2, 3 , 1, 4, 5 , 5 , 1, 6, 7
1  Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
2  Department of Psychology, Faculty of Psychology, Universitas Padjadjaran, Bandung, Indonesia
3  Centre for Psychometrics Study, Faculty of Psychology, Universitas Padjadjaran, Bandung, Indonesia
4  Academic Centre for Epileptology, Kempenhaeghe, Heeze, The Netherlands
5  Faculty of Psychology, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
6  Vincent van Gogh Institute for Psychiatry, Venray, The Netherlands
7  Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen, The Netherlands
Academic Editor: Damian Birney

Abstract:

The Wechsler Intelligence Scale for Children–Fifth Edition (WISC-V) has been adapted for the Indonesian population becoming the WISC-V-ID. The original test comprises 16 subtests, 10 of which are used to estimate five primary indexes: Verbal Comprehension (VC), Visual Spatial (VS), Fluid Reasoning (FR), Working Memory (WM), and Processing Speed (PS) as well as three ancillary indices: the General Ability Index (GAI), the Cognitive Proficiency Index (CPI), and the Non-Verbal Index (NVI). This study examined the construct validity of both the primary and ancillary indices of the WISC-V-ID using a series of confirmatory factor analyses. The participants included were 1,508 children aged 6–16 years, who were drawn from the Indonesian normative sample. The results indicated that both the hypothesized four- and five-factor higher-order models demonstrated an excellent global fit (CFI = .976–.998; TLI = .965–.996; RMSEA = .016–.047; SRMR = .011–.025), although the correlated five-factor model provided the best representation of the data (χ² = 35.228, df = 25, p = .084; CFI = .998; TLI = .996; RMSEA = .016; SRMR = .011). For the ancillary indices, a second-order oblique model best described the structure of GAI and CPI, which were strongly correlated. The NVI was optimally modeled by a higher-order configuration rather than a first-order model. These findings support the structural validity of the primary indexes WISC-V-ID and provide additional evidence regarding the factorial structure of ancillary indices, which have received limited empirical attention in the international literature.

Keywords: WISC-V; WISC-V-ID; construct validity; test adaptation; CHC theory; ancillary indexes
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