Adaptive testing has stood the test in practice over fourty years – when computerized tailored testing applies (see for a current review Kubinger, 2015, in print). However, in the case of especially young children, they may not be tested with a computer but individually under a psychologist’s supervision, and in these cases the use of some branched testing design may be the method of choice. Thereby the items are clustered in advance according to some intended cluster averages of item difficulty parameters. After each administered cluster of items, the optimally informative next item cluster is presented to the testee. As a consequence, there is no online ability parameter estimation needed after each administered item (cluster), but all ability parameter estimations can be done in advance. However, this approach is not too well-known. Here the respective conceptualization of the Adaptive Intelligence Diagnosticum (AID) is given. Apart from practitioners’ 30 years lasting approval, this branched adaptive testing test-battery has proven to have a shorter administration time, accompanied by a much higher accuracy of measurement (reliability). Lastly, there hardly ever occur achievement motivational problems in testees, either due to a lot of too easy items or due to a lot of too difficult items.

The internal structure of the standardized Indonesian version of the Wechsler Adult Intelligence Scale – Fourth Edition (WAIS-IV-IDN) supports the expected internal structure of four first order factors and the full scale score as second order. In addition we evaluated the external validation and the scale’s reproducibility over time. For validation, we correlated WAIS-IV-IDN with the Raven’s Standard Progressive Matrices (SPM), Cattell’s Culture Fair Intelligence Test (CFIT), and The Modified Mini Mental State Examination (3MS). Furthermore, to investigate the scale’s reproducibility over time, we measured the test-retest reliability. There were 125 participants for the validation with SPM and CFIT, 90 participants for the validation with 3MS, and 77 participants for test-retest reliability. The Pearson product-moment correlation was used for analyzing data. We found positive and significant correlation coefficients between the WAIS-IV-IDN with all other tests (SPM, CFIT, and 3MS). The correlation coefficients ranged from .26 - .66. The result of test-retest reliability on all sub tests, indexes and Full IQ of WAIS-IV-IDN ranged from .47 - .92. In summary, the WAIS-IV-IDN is considered to be acceptable for using in Indonesia although there are still few limitations on test retest coefficients. Discussion of these findings would be explained further.

Economic and nevertheless valid assessment of cognitive ability is useful under time constraints, especially in large research projects where this resource is limited. The intelligence screening "mini-q" allows to assess speeded reasoning in three (adults) to five minutes (children). Based on Baddeley's Test of Verbal Reasoning (1968), the mini-q does not only include verbal, but also visuospatial aspects. We will present evidence for the reliability and validity of the paper-and-pencil version 478 adults, (e.g., correlations with other IQ and speed tests, and comparisons between gifted and average-ability participants.) Findings on the suitability of the mini-q for children and adolescents will be presented as well. One question that arose with respect to the material (where geometrical figures show human characteristics such as "preferring" or "refusing" other geometrical figures) was whether social abilities influence mini-q results substantially. Using an online version of the test, relationships with diverse measures of inter- and intrapersonal abilities will therefore be examined to further clarify what the mini-q measures.

The distinction between fluid (gf) and crystallized (gc) intelligence is important because it helps us to explain how intellectual ability develops and interacts with fundamental cognitive processes like memory and attention. The present study examined the relations of fluid and crystallized intelligence with three cognitive processes, namely speed of processing, attention, and working memory (WM) in 158 7- to 18-year-old children and adolescents (mean age in years=12.68, SD=3.16). Multiple measures of each of these cognitive processes were obtained. Structural equation modeling was performed to investigate: i) the relations between intelligence and its main correlates, and ii) whether developmental changes in each of the above three cognitive processes lead directly to developmental increases in intelligence. The results suggested that only WM predicted fluid and crystallized intelligence when controlling for the other two cognitive processes. The data indicate that WM is the main cognitive function underlying fluid and crystallized intelligence in children and adolescents. Also, our findings suggested that age-related changes in WM pave the way for developmental changes in intelligence. The discussion focuses on the construct validity of tests for the measurement of gc, gf and working memory and the interpretation of WM as a predictive variable of intelligence in children and adolescents.