INS NYC 2024 Program

Poster

Poster Session 11 Program Schedule

02/17/2024
10:45 am - 12:00 pm
Room: Shubert Complex (Posters 1-60)

Poster Session 11: Cultural Neuropsychology | Education/Training | Professional Practice Issues


Final Abstract #51

The Development of a Short Form of the Indonesian Version of the Wechsler Adult Intelligence Scale – Fourth Edition (WAIS-IV-ID)

Marc Hendriks, Radboud University, Nijmegen, Netherlands
Lidia Hidajat, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
Magdalena Halim, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
Roy Kessels, Radboud University, Nijmegen, Netherlands

Category: Cross Cultural Neuropsychology/ Clinical Cultural Neuroscience

Keyword 1: intelligence
Keyword 2: assessment
Keyword 3: test development

Objective:

The Wechsler intelligence scales are very popular in clinical practice and for research purposes, and are an important part of most extensive neuropsychological assessments. The Wechsler intelligence scales have been translated into many languages and adapted for use in different cultures. However, they are time consuming to administer. The duration of the test administration is critical to consider, especially in non-Western cultures in which participants may not always be used to lengthy assessments. Therefore, researchers and psychologists have explored the possibility of shorter test battery compositions for the Wechsler intelligence scales. In this study, we aimed to select the best short form for the Indonesian version of the Wechsler Adult Intelligence Scale – Fourth Edition (WAIS-IV-ID). We selected representative subtests from each factor, based on 4- and 5-factor models previously identified for the WAIS-IV-ID. In addition, we included several short forms based on previous studies of the WAIS short forms, provided that those subtests were still available in the WAIS-IV.

Participants and Methods:

In total, we examined 13 potential short forms of the Indonesian version of the Wechsler Adult Intelligence Scale – Fourth Edition (WAIS-IV-ID). An existing standardization data set of 1,745 Indonesian participants collected for the validation of the WAIS-IV-ID was used to examine the short forms’ validity. These ranged from 2-subtest versions to 7-subtest versions. Regression analyses with goodness of fit measures were performed, and regression equations were determined for each short form to estimate the Full-Scale IQ (FSIQ) score. Discrepancies between the FSIQ and the estimated FSIQ (FSIQEst) scores were examined and the classification accuracies were calculated for each short form (% agreement of intelligence classification between the FSIQEst and FSIQ).

Results:

None of the 13 short form FSIQEst values did significantly differ from the FSIQ scores based on the full WAIS-IV-ID, and strong correlations were observed between each of these values. The classification accuracies of the short forms ranged from 56.8% to 81.0%. The 4-subtest short form of the WAIS-IV-ID consisting of the subtests Matrix Reasoning (MR), Information (IN), Arithmetic (AR), and Coding (CD) had the optimal balance between best classification values and a short administration duration. FSIQEst for this version can be estimated using the following formula: FSIQEst = 46.20 + 1.54×IN + 1.37×MR + 1.08×AR + 1.32×CD.

Conclusions:

Based on the results presented here, the WAIS-IV-ID short forms result in a reliable estimate of the FSIQ, with a significant shorter administration duration. The WAIS-IV-ID short form consisting of four subtests, that is, Matrix Reasoning, Information, Arithmetic, and Coding, was the best version according to our criteria. Our study was also only aimed at identifying the short form of the WAIS-IV-ID that best predicted the FSIQ. Consequently, even though the best short version includes tests from all four factors, it should neither be used to estimate the Index Scores nor for performing profile analyses of individual participants. Furthermore, future studies should investigate the convergent and divergent validity, the known-group validity (e.g. using clinical populations) and cross-validate the findings in, for instance, different age groups.