scholarly journals An application of the Linear Logistic Test Model for the construction of a Fluid Intelligence Test

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Thomas Castelain ◽  
María Paula Villarreal Galera ◽  
Mauricio Molina Delgado ◽  
Odir Antonio Rodríguez-Villagra
Keyword(s):  
Fluid Intelligence ◽  
Intelligence Test ◽  
Test Model ◽  
Linear Logistic Test Model ◽  
Para Determinar

El presente artículo tiene como objetivo poner a prueba —a través del uso de un modelo logístico lineal (LLTM, por sus siglas en inglés)— un conjunto de operaciones cognitivas (reglas), que influencian la dificultad de los ítems de un test de inteligencia fluida en diferentes muestras de estudiantes. En el Estudio 1, estudiantes de colegios (n = 1751) fueron asignados al azar a una muestra “estudio” o a una muestra “validación”. La primera sirvió para poner a prueba el conjunto de reglas propuestas como variables, que podrían afectar la dificultad de los ítems, y la segunda permitió recolectar evidencias de validez de dichas reglas. En el Estudio 2, se reclutaron estudiantes de universidad (n = 162), esto para determinar si la influencia de las reglas sobre el nivel de dificultad de los ítems podía generalizarse a este nuevo grupo. El Estudio 1 aporta evidencias acerca de la validez del conjunto de operaciones cognitivas que subyacen al proceso de resolución de los ítems, mientras que el Estudio 2 sugiere diferencias individuales en las estrategias de resolución de las personas examinadas. La misma estrategia de análisis podría ser aplicada a la construcción de otros tests. Asimismo, podría ayudar a personas educadoras, investigadoras y tomadoras de decisiones en su búsqueda de disponer de instrumentos cada vez más depurados.

The Linear Logistic Test Model

Rasch Models ◽  
1995 ◽  
pp. 131-155 ◽  
Author(s):  
Gerhard H. Fischer
Keyword(s):  
Test Model ◽  
Linear Logistic Test Model

A drop in performance on a fluid intelligence test due to instructed-rule mindset

2016 ◽  
Vol 81 (5) ◽  
pp. 901-909 ◽  
Author(s):  
Hadas ErEl ◽  
Nachshon Meiran
Keyword(s):  
Fluid Intelligence ◽  
Intelligence Test

scholarly journals Intelligence test items varying in capacity demands cannot be used to test the causality of working memory capacity for fluid intelligence

2021 ◽  
Author(s):  
Gidon T. Frischkorn ◽  
Klaus Oberauer
Keyword(s):  
Working Memory ◽  
Test Performance ◽  
Latent Variable ◽  
Fluid Intelligence ◽  
Working Memory Capacity ◽  
Strong Relationship ◽  
Theoretical Models ◽  
Memory Capacity ◽  
Intelligence Test ◽  
Test Items

AbstractThere is a strong relationship between fluid intelligence and working memory capacity (WMC). Yet, the cognitive mechanisms underlying this relationship remain elusive. The capacity hypothesis states that this relationship is due to limitations in the amount of information that can be stored and held active in working memory. Previous research aimed at testing the capacity hypothesis assumed that it implies stronger relationships of intelligence test performance with WMC for test items with higher capacity demands. The present article addresses this assumption through simulations of three theoretical models implementing the capacity hypothesis while systematically varying different psychometric variables. The results show that almost any relation between the capacity demands of items and their correlation with WMC can be obtained. Therefore, the assumption made by previous studies does not hold: The capacity hypothesis does not imply stronger correlations of WMC and intelligence test items with higher capacity demands. Items varying in capacity demands cannot be used to test the causality of WMC (or any other latent variable) for fluid intelligence.

A Horn Analysis of the Factors Measured by the WAIS-R, Kaufman Adolescent and Adult Intelligence Test (KAIT), and Two New Brief Cognitive Measures for Normal Adolescents and Adults

Assessment ◽  
1994 ◽  
Vol 1 (4) ◽  
pp. 353-366 ◽  
Author(s):  
Alan S. Kaufman ◽  
Toshinori Ishikuma ◽  
Nadeen L. Kaufman
Keyword(s):  
Fluid Intelligence ◽  
Intelligence Test ◽  
Cognitive Measures ◽  
Short Term ◽  
Adult Intelligence ◽  
Theory Of Intelligence ◽  
Normal Individuals ◽  
Adolescents And Adults ◽  
Normal Adolescents ◽  
Performance Scale

Data obtained on 255 normal individuals, ages 16-83, were factor analyzed. Variables included subtests from the WAIS-R, KAIT, and two new brief cognitive measures (K-FAST, K-SNAP). Four factors emerged that were interpreted from Horn's theory of intelligence: Crystallized (Gc), Fluid (Gf), Short-term Acquisition and Retrieval (SAR), and a blend of Broad Visualization (Gv) and Fluid. Results were interpreted in the context of previous Horn analyses of the KAIT and Wechsler's scales, with particular attention paid to the question of whether the WAIS-R Performance Scale measures fluid intelligence or whether it is primarily a measure of Gv, as some researchers contend.

Personality and biological markers of creativity

2005 ◽  
Vol 19 (2) ◽  
pp. 83-95 ◽  
Author(s):  
M. Reuter ◽  
J. Panksepp ◽  
N. Schnabel ◽  
N. Kellerhoff ◽  
P. Kempel ◽  
...  
Keyword(s):  
Test Scores ◽  
Sensation Seeking ◽  
Fluid Intelligence ◽  
Biological Marker ◽  
Intelligence Test ◽  
Affective Neuroscience ◽  
Crystallized Intelligence ◽  
Main Effect ◽  
Affective Neuroscience Personality Scales ◽  
And Biological Markers

The aim of the present study was to test (i) Eysenck's theory that psychoticism (P) should be related to creativity, (ii) whether testosterone (T), due to its association with P claimed in the literature, can be identified as a biological marker of creativity, and (iii) whether the SEEK dimension of the Affective Neuroscience Personality Scales (ANPS) was also related to creativity and to testosterone due to its relationship to Sensation Seeking. In a sample of N = 48 male and female subjects, test scores on figural, verbal, and numeric creativity were compared between high and low P‐scorers as well as between high and low SEEK‐scorers. Effects were controlled for fluid intelligence as measured by Cattell's CFT‐3 and crystallized intelligence as assessed by the Structure‐of‐Intelligence‐Test (Intelligenz‐Struktur‐Test, I‐S‐T 2000 R). Neither a main effect of P or T nor an interaction effect P×T on creativity could be obtained. Instead, SEEK was related to all components of creativity and explained more than 15% of the variance of total creativity. Moreover, significant differences in SEEK could be explained by differences in T, independently of gender. Furthermore, 39% of the variance of SEEK could be explained by the two uncorrelated indicators testosterone and creativity. Copyright © 2004 John Wiley & Sons, Ltd.

The Perceptual Maze Test Revisited: Evaluating the Difficulty of Automatically Generated Mazes

Assessment ◽  
2017 ◽  
Vol 26 (8) ◽  
pp. 1524-1539 ◽  
Author(s):  
Bao Sheng Loe ◽  
John Rust
Keyword(s):  
Technical Difficulty ◽  
Test Model ◽  
R Software ◽  
Rigorous Approach ◽  
Maze Test ◽  
Adequate Information ◽  
Linear Logistic Test Model ◽  
Parsimonious Model ◽  
The Rasch Model ◽  
Item Response Theory Models

The Elithorn perceptual maze test is widely used in clinical research and practice. However, there is little evidence of its psychometric properties, and its application is limited by the technical difficulty of developing more mazes. The current research aims to adopt a rigorous approach to evaluate 18 mazes that were automatically generated by a novel R software package. Various item response theory models were employed to examine the difficulty parameters. The findings suggested that the data best fitted the Rasch model. The linear logistic test model revealed meaningful contribution to the sources of maze difficulty. Additionally, the linear logistic test model plus error was considered the most parsimonious model. The Automatic Perceptual Maze Test was moderately correlated with a nonverbal intelligence test. By introducing more mazes to provide adequate information on participants’ ability at all levels, the Automatic Perceptual Maze Test promises future clinical and research utility for the study of cognitive performance.

Examining the Impact of Integrating Physical Activity on Fluid Intelligence and Academic Performance in an Elementary School Setting: A Preliminary Investigation

2010 ◽  
Vol 7 (3) ◽  
pp. 343-351 ◽  
Author(s):  
Julian A. Reed ◽  
Gilles Einstein ◽  
Erin Hahn ◽  
Steven P. Hooker ◽  
Virginia P. Gross ◽  
...  
Keyword(s):  
Physical Activity ◽  
Academic Achievement ◽  
English Language ◽  
Fluid Intelligence ◽  
Preliminary Investigation ◽  
School Setting ◽  
Intelligence Test ◽  
Control Group ◽  
The Impact ◽  
Experimental Group

Purpose:To examine the impact of integrating physical activity with elementary curricula on fluid intelligence and academic achievement.Methods:A random sample of 3rd grade teachers integrated physical activity into their core curricula approximately 30 minutes a day, 3 days a week from January 2008 to April 2008. Noninvasive fluid intelligence cognitive measures were used along with State-mandated academic achievement tests.Results:Experimental Group children averaged close to 1200 pedometer steps per integration day, thus averaging 3600 steps per week. Children in the Experimental Group performed significantly better on the SPM Fluid Intelligence Test. Children in the Experimental Group also performed significantly better on the Social Studies State mandated academic achievement test. Experimental Group children also received higher scores on the English/Language Arts, Math and Science achievements tests, but were not statistically significant compared with Control Group children. Children classified in Fitnessgram’s Healthy Fitness Zone for BMI earned lower scores on many of the SPM Fluid Intelligence components.Discussion:This investigation provides evidence that movement can influence fluid intelligence and should be considered to promote cognitive development of elementary-age children. Equally compelling were the differences in SPM Fluid Intelligence Test scores for children who were distinguished by Fitnessgram’s BMI cut points.

Sign in / Sign up

Export Citation Format

Share Document