Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Comparative Analysis | 2 |
| Factor Analysis | 2 |
| Intelligence Tests | 2 |
| Academically Gifted | 1 |
| Accuracy | 1 |
| Attention | 1 |
| Children | 1 |
| Culture Fair Tests | 1 |
| Foreign Countries | 1 |
| Goodness of Fit | 1 |
| Maximum Likelihood Statistics | 1 |
| More ▼ | |
Author
| He, Yunfeng | 1 |
| Krampen, Dorothea | 1 |
| Reiß, Siegbert | 1 |
| Schweizer, Karl | 1 |
| Shi, Jian-Nong | 1 |
| Tao, Ting | 1 |
| Zeller, Florian | 1 |
| Zhang, Hui | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
Audience
Location
| China (Beijing) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Raven Advanced Progressive… | 2 |
| Cattell Culture Fair… | 1 |
What Works Clearinghouse Rating
Do Adaptive Representations of the Item-Position Effect in APM Improve Model Fit? A Simulation Study
Peer reviewed
Direct linkZeller, Florian; Krampen, Dorothea; Reiß, Siegbert; Schweizer, Karl – Educational and Psychological Measurement, 2017
The item-position effect describes how an item's position within a test, that is, the number of previous completed items, affects the response to this item. Previously, this effect was represented by constraints reflecting simple courses, for example, a linear increase. Due to the inflexibility of these representations our aim was to examine…
Descriptors: Goodness of Fit, Simulation, Factor Analysis, Intelligence Tests
Zhang, Hui; He, Yunfeng; Tao, Ting; Shi, Jian-Nong – High Ability Studies, 2016
The term "intellectually gifted rural-to-urban migrant children" refers to intellectually gifted children who are in migration from rural to urban areas. We compared performances on seven attention tasks among intellectually gifted (n = 26) and average (n = 30) rural-to-urban migrant and intellectually gifted urban children (n = 31). Our…
Descriptors: Academically Gifted, Rural to Urban Migration, Children, Attention
