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.

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.

scholarly journals Eye Movements and Cognitive Strategy in a Fluid Intelligence Test: Item Type Analysis

2018 ◽  
Vol 9 ◽  
Author(s):  
Paulo G. Laurence ◽  
Tatiana P. Mecca ◽  
Alexandre Serpa ◽  
Romain Martin ◽  
Elizeu C. Macedo
Keyword(s):  
Eye Movements ◽  
Test Item ◽  
Fluid Intelligence ◽  
Item Type ◽  
Cognitive Strategy ◽  
Intelligence Test ◽  
Type Analysis

scholarly journals Development and Validity of Fluid Intelligence Test Based on Cattle-Horn-Carrol Theory: A Pilot Project

2017 ◽  
Vol 1 (2) ◽  
pp. 76
Author(s):  
Fitri Andriani ◽  
Cholichul Hadi ◽  
Pramesti Pradna Paramita
Keyword(s):  
Fluid Intelligence ◽  
Test Validity ◽  
Pilot Project ◽  
Intelligence Test ◽  
Evidence Based ◽  
Chi Square ◽  
Analysis Technique ◽  
Confirmatory Factor ◽  
Fit Indexes ◽  
Fit Index

This study aimed to examine the validity of the Fluid Intelligence Test, constructed based on the Cattel-Horn-Carroll theory. There were two sources of validity used in this study, which were evidence based on the internal structure and evidence based on relation with other variables. Sixty-four items have been composed and tested to 242 people. The data was analyzed using confirmatory factor analysis technique and correlations technique to examine test validity. The result of this study showed that the prepared model worked quite well in describing the narrow abilities of fluid intelligence, as showed by the receipt of fit indexes accuracy of the model, such as Chi-Square value .42 (p = .518), Goodness Fit Index (GFI) = 1, and Rooted Mean Square Error (RMSEA) = .00. Similar result was also showed by its correlation with other variables, which are .717 (TIKI) and .606 (CFIT). This suggested that Fluid Intelligence Test has good validity.

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.

Fluid Intelligence Test

2019 ◽  
Author(s):  
Gideon Nave ◽  
Wi Hoon Jung ◽  
Richard Karlsson Linnér ◽  
Joseph W. Kable ◽  
Philipp D. Koellinger
Keyword(s):  
Fluid Intelligence ◽  
Intelligence Test

The left frontal lobe is critical for the AH4 fluid intelligence test

Intelligence ◽  
2021 ◽  
Vol 87 ◽  
pp. 101564
Author(s):  
Joseph Mole ◽  
Jennifer Foley ◽  
Tim Shallice ◽  
Lisa Cipolotti
Keyword(s):  
Frontal Lobe ◽  
Fluid Intelligence ◽  
Intelligence Test ◽  
Left Frontal Lobe

Superior fluid cognition in trained musicians

2018 ◽  
Vol 48 (3) ◽  
pp. 434-447 ◽  
Author(s):  
Jim Meyer ◽  
Pinar Gupse Oguz ◽  
Katherine Sledge Moore
Keyword(s):  
Executive Function ◽  
Cognitive Function ◽  
Processing Speed ◽  
Positive Relationship ◽  
Fluid Intelligence ◽  
Intelligence Test ◽  
Future Research ◽  
Extensive Experience ◽  
Music Training ◽  
Standardized Measures

The effect of intensive music training on cognitive function continues to gain interest as research reveals a positive enhancement on overall cognitive ability, including memory, attention, and executive function. The purpose of the present study was to extend this research by using a standardized fluid intelligence test—the National Institute of Health Toolbox Cognitive Battery—to measure how music training is related to fluid intelligence. Fluid intelligence is the ability to think abstractly and solve problems. This task battery included measures of episodic memory, working memory, attention, executive function, and processing speed. Musicians with extensive experience scored significantly higher in fluid cognition than did non-musicians and less-trained musicians. These results add support to the mounting evidence of the positive relationship between music training and cognitive function, and this study provides a blueprint for future research using standardized measures to investigate expertise in musicians.

Sign in / Sign up

Export Citation Format

Share Document