Adaptation of Trait Emotional Intelligence Questionnaire (TEIQue) in Bangla

The Trait Emotional Intelligence Questionnaire (TEQue) is an instrument to measure emotional intelligence based on self-report. The instrument has increasingly drawing the attention in the organizations. The present study aimed at adapting the Trait Emotional Intelligence Questionnaire (TEQue) short form (K.V. Petrides, 2009) into Bangla version After careful checking by the Subject Matter Expert (SME), the translated form was administered over 200 adolescent-adult ranging from 17 to 21 years of age through convenience sampling during May 2017 to June 2017. Cronbach Alpha was found significant to be satisfactory. Validation of the Inventory was assured by content and construct validity where construct validity included item analysis. Satisfactory level of validity was found for the Bangla version of Trait Emotional Intelligence Questionnaire. The version of the test has found useful in the context of Bangladesh. This inventory can be used in Emotional Intelligence testing.

Some aspects of aptitude and intelligence testing of New Zealanders, Maori and Pakeha

This investigation was undertaken in an attempt to shed some light on a problem which is encountered in any psychometric work carried out in New Zealand, the problem of the differences between Maori and Pakeha. As will be shown below, it appears to be fairly well established that there are differences in intellectual capacity between the two races, and the problem is rather that of determining whether that difference is innate, that is, whether it is a racial characteristic, or whether it is partially or totally accounted for by cultural factors.

Some aspects of aptitude and intelligence testing of New Zealanders, Maori and Pakeha

This investigation was undertaken in an attempt to shed some light on a problem which is encountered in any psychometric work carried out in New Zealand, the problem of the differences between Maori and Pakeha. As will be shown below, it appears to be fairly well established that there are differences in intellectual capacity between the two races, and the problem is rather that of determining whether that difference is innate, that is, whether it is a racial characteristic, or whether it is partially or totally accounted for by cultural factors.

Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment

Driving intelligence tests are critical to the development and deployment of autonomous vehicles. The prevailing approach tests autonomous vehicles in life-like simulations of the naturalistic driving environment. However, due to the high dimensionality of the environment and the rareness of safety-critical events, hundreds of millions of miles would be required to demonstrate the safety performance of autonomous vehicles, which is severely inefficient. We discover that sparse but adversarial adjustments to the naturalistic driving environment, resulting in the naturalistic and adversarial driving environment, can significantly reduce the required test miles without loss of evaluation unbiasedness. By training the background vehicles to learn when to execute what adversarial maneuver, the proposed environment becomes an intelligent environment for driving intelligence testing. We demonstrate the effectiveness of the proposed environment in a highway-driving simulation. Comparing with the naturalistic driving environment, the proposed environment can accelerate the evaluation process by multiple orders of magnitude.