scholarly journals Mene Mene Tekel Upharsin: Clerical Speed and Elementary Cognitive Speed are Different by Virtue of Test Mode Only

2019 ◽  
Vol 7 (3) ◽  
pp. 16
Author(s):  
Florian Schmitz ◽  
Oliver Wilhelm
Keyword(s):  
Working Memory ◽  
Cognitive Task ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Assessment Method ◽  
Task Type ◽  
General Factor ◽  
Cognitive Speed ◽  
Computer Based ◽  
Paper And Pencil

Current taxonomies of intelligence comprise two factors of mental speed, clerical speed (Gs), and elementary cognitive speed (Gt). Both originated from different research traditions and are conceptualized as dissociable constructs in current taxonomies. However, previous research suggests that tasks of one category can be transferred into the other category by simply changing the mode of administration, i.e., in form of a paper-and-pencil test or in from of a computer-based elementary cognitive task. However, cross-mode correlations for specific tasks are usually only moderate. In the present study, mental speed was assessed as a broad construct across different tasks and stimulus materials. This allowed modeling mental speed as a hierarchical construct for paper-and-pencil as well as for computer-based tests. Cross-mode correlations of the respective general factors were moderate (r = 0.64), while the cross-mode correlations of task-specific components depended on task type (r = 0.12 to r = 0.71). Only the g factors of mental speed, but not the task-specific components, were found to be related with working memory capacity as a marker of cognitive ability. The speed general factor modeled across computer-based tests was more highly correlated with working memory capacity (r = 0.66) than the general factor modeled across paper-and-pencil tests (r = 0.46). These findings corroborate a crucial role of the assessment method and imply that validity of speed tests is affected by the choice of the test format.

scholarly journals Scoring Alternatives for Mental Speed Tests: Measurement Issues and Validity for Working Memory Capacity and the Attentional Blink Effect

2018 ◽  
Vol 6 (4) ◽  
pp. 47 ◽  
Author(s):  
Florian Schmitz ◽  
Dominik Rotter ◽  
Oliver Wilhelm
Keyword(s):  
Working Memory ◽  
Attentional Blink ◽  
Diffusion Model ◽  
Working Memory Capacity ◽  
Visual Presentation ◽  
Memory Capacity ◽  
Task Type ◽  
Equation Modeling ◽  
Model Parameters ◽  
General Factor

Research suggests that the relation of mental speed with working memory capacity (WMC) depends on complexity and scoring methods of speed tasks and the type of task used to assess capacity limits in working memory. In the present study, we included conventional binding/updating measures of WMC as well as rapid serial visual presentation paradigms. The latter allowed for a computation of the attentional blink (AB) effect that was argued to measure capacity limitations at the encoding stage of working memory. Mental speed was assessed with a set of tasks and scored by diverse methods, including response time (RT) based scores, as well as ex-Gaussian and diffusion model parameterization. Relations of latent factors were investigated using structure equation modeling techniques. RT-based scores of mental speed yielded substantial correlations with WMC but only weak relations with the AB effect, while WMC and the AB magnitude were independent. The strength of the speed-WMC relation was shown to depend on task type. Additionally, the increase in predictive validity across RT quantiles changed across task types, suggesting that the worst performance rule (WPR) depends on task characteristics. In contrast to the latter, relations of speed with the AB effect did not change across RT quantiles. Relations of the model parameters were consistently found for the ex-Gaussian tau parameter and the diffusion model drift rate. However, depending on task type, other parameters showed plausible relations as well. The finding that characteristics of mental speed tasks determined the overall strength of relations with WMC, the occurrence of a WPR effect, and the specific pattern of relations of model parameters, implies that mental speed tasks are not exchangeable measurement tools. In spite of reflecting a general factor of mental speed, different speed tasks possess different requirements, supporting the notion of mental speed as a hierarchical construct.

An Individual Differences Investigation of the Relations Among Life Event Stress, Working Memory Capacity, and Mind Wandering: A Replication-Extension Study

2019 ◽  
Author(s):  
Haley Goller ◽  
Jonathan Britten Banks ◽  
Matt Ethan Meier
Keyword(s):  
Working Memory ◽  
Cognitive Task ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Mind Wandering ◽  
Extension Study ◽  
Negative Life Event ◽  
Life Event ◽  
Life Event Stress ◽  
Event Stress

Klein and Boals (2001, Experiments 1 and 2) found that working memory capacity correlated negatively with perceived negative life event stress and speculated the relation may be driven by thoughts produced from these experiences. Here, we sought to replicate the association between working memory capacity and perceived negative life experience and to assess potential mediators of this association such as mind wandering propensity, rumination propensity, and the sum of negatively-valenced mind wandering reports. In this preregistered replication and extension study, with data collected from three hundred and fifty-six subjects (ns differ among analyses), we found no evidence suggesting that perceived negative life stress is associated with working memory capacity. Additionally, we found evidence consistent with the claim that negatively-valenced mind wandering is uniquely detrimental to cognitive task performance, but we highlight a potential confound that may account for this association that should be addressed in future work.

Working Memory Capacity as Controlled Attention in Tactical Decision Making

2012 ◽  
Vol 34 (3) ◽  
pp. 322-344 ◽  
Author(s):  
Philip A. Furley ◽  
Daniel Memmert
Keyword(s):  
Decision Making ◽  
Working Memory ◽  
Predictive Power ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Attention Theory ◽  
Controlled Attention ◽  
Computer Based ◽  
Tactical Decision ◽  
Complex Settings

The controlled attention theory of working memory capacity (WMC, Engle 2002) suggests that WMC represents a domain free limitation in the ability to control attention and is predictive of an individual’s capability of staying focused, avoiding distraction and impulsive errors. In the present paper we test the predictive power of WMC in computer-based sport decision-making tasks. Experiment 1 demonstrated that high-WMC athletes were better able at focusing their attention on tactical decision making while blocking out irrelevant auditory distraction. Experiment 2 showed that high-WMC athletes were more successful at adapting their tactical decision making according to the situation instead of relying on prepotent inappropriate decisions. The present results provide additional but also unique support for the controlled attention theory of WMC by demonstrating that WMC is predictive of controlling attention in complex settings among different modalities and highlight the importance of working memory in tactical decision making.

scholarly journals The Good, the Bad, and the Clever: Faking Ability as a Socio-Emotional Ability?

2021 ◽  
Vol 9 (1) ◽  
pp. 13
Author(s):  
Mattis Geiger ◽  
Romy Bärwaldt ◽  
Oliver Wilhelm
Keyword(s):  
Working Memory ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
General Factor ◽  
General Mental Ability ◽  
Good Ability ◽  
Large Correlation ◽  
Pain Expression ◽  
Ability Tests ◽  
Emotional Ability

Socio-emotional abilities have been proposed as an extension to models of intelligence, but earlier measurement approaches have either not fulfilled criteria of ability measurement or have covered only predominantly receptive abilities. We argue that faking ability—the ability to adjust responses on questionnaires to present oneself in a desired manner—is a socio-emotional ability that can broaden our understanding of these abilities and intelligence in general. To test this theory, we developed new instruments to measure the ability to fake bad (malingering) and administered them jointly with established tests of faking good ability in a general sample of n = 134. Participants also completed multiple tests of emotion perception along with tests of emotion expression posing, pain expression regulation, and working memory capacity. We found that individual differences in faking ability tests are best explained by a general factor that had a large correlation with receptive socio-emotional abilities and had a zero to medium-sized correlation with different productive socio-emotional abilities. All correlations were still small after controlling these effects for shared variance with general mental ability as indicated by tests of working memory capacity. We conclude that faking ability is indeed correlated meaningfully with other socio-emotional abilities and discuss the implications for intelligence research and applied ability assessment.

scholarly journals Binding Costs in Processing Efficiency as Determinants of Cognitive Ability

2021 ◽  
Vol 9 (2) ◽  
pp. 18
Author(s):  
Benjamin Goecke ◽  
Florian Schmitz ◽  
Oliver Wilhelm
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Reaction Time ◽  
Fluid Intelligence ◽  
Task Complexity ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Cognitive Tasks ◽  
General Factor ◽  
Elementary Cognitive Tasks

Performance in elementary cognitive tasks is moderately correlated with fluid intelligence and working memory capacity. These correlations are higher for more complex tasks, presumably due to increased demands on working memory capacity. In accordance with the binding hypothesis, which states that working memory capacity reflects the limit of a person’s ability to establish and maintain temporary bindings (e.g., relations between items or relations between items and their context), we manipulated binding requirements (i.e., 2, 4, and 6 relations) in three choice reaction time paradigms (i.e., two comparison tasks, two change detection tasks, and two substitution tasks) measuring mental speed. Response time distributions of 115 participants were analyzed with the diffusion model. Higher binding requirements resulted in generally reduced efficiency of information processing, as indicated by lower drift rates. Additionally, we fitted bi-factor confirmatory factor analysis to the elementary cognitive tasks to separate basal speed and binding requirements of the employed tasks to quantify their specific contributions to working memory capacity, as measured by Recall−1-Back tasks. A latent factor capturing individual differences in binding was incrementally predictive of working memory capacity, over and above a general factor capturing speed. These results indicate that the relation between reaction time tasks and working memory capacity hinges on the complexity of the reaction time tasks. We conclude that binding requirements and, therefore, demands on working memory capacity offer a satisfactory account of task complexity that accounts for a large portion of individual differences in ability.

scholarly journals Individual Differences in Working Memory Capacity and Visual Search in Reading

2021 ◽  
Author(s):  
Ralph S. Redden ◽  
Kaylee Eady ◽  
Raymond M Klein ◽  
Jean Saint-Aubin
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Visual Search ◽  
Dual Task ◽  
Cognitive Task ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Search Efficiency ◽  
Prose Passage ◽  
Wide Range

Individual differences in working memory capacity (WMC) are related to variations in a wide range of cognitive tasks. Surprisingly, effects of individual differences in working memory capacity are somewhat limited in visual search tasks. Here we tested the hypothesis that such an effect would be robust when search was one component of a dual task. Participants were presented strings of letters using rapid serial visual presentation and were required to detect all instances of a particular target letter. In Experiment 1, participants performed the letter search task in three contexts, while: a) reading a prose passage, b) processing a stream of random words, or c) processing a random stream of non-words. In the absence of the dual task of reading prose, and in line with much of the literature on individual differences in WMC and visual search, search performance was unaffected by WMC. As hypothesized, however, higher working memory capacity participants detected more target letters than lower capacity participants in the “true” dual task (searching while reading prose). The hypothesized results from the prose passage were replicated in Experiment 2. These results show that visual search efficiency is dramatically affected by WMC when searching is combined with another cognitive task but not when it is performed in isolation. Our findings are consistent with recent suggestions that visual search efficiency will be affected by WMC so long as searching is embedded in a context that entails managing resource allocation between concurrent tasks.

scholarly journals Binding Costs in Processing Efficiency as Determinants of Cognitive Ability

2020 ◽  
Author(s):  
Benjamin Goecke ◽  
Florian Schmitz ◽  
Oliver Wilhelm
Keyword(s):  
Working Memory ◽  
Individual Differences ◽  
Cognitive Ability ◽  
Fluid Intelligence ◽  
Task Complexity ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Cognitive Tasks ◽  
General Factor ◽  
Elementary Cognitive Tasks

Performance in elementary cognitive tasks is moderately correlated with fluid intelligence and working memory capacity. These correlations are higher for more complex tasks, presumably due to increased demands on working memory capacity. In accordance with the binding hypothesis, which states that working memory capacity reflects the limit of a person’s ability to establish and maintain temporary bindings (e.g., relations between items or relations between items and their context), we manipulated binding requirements (i.e., 2, 4, and 6 relations) in three choice reaction time paradigms (i.e., two comparison tasks, two change-detection tasks, and two substitution tasks) measuring mental speed. Response time distributions of N = 115 participants were analyzed with the diffusion model. Higher binding requirements resulted in generally reduced efficiency of information processing, as indicated by lower drift rates. Additionally, we fitted bi-factor confirmatory factor analysis to the elementary cognitive tasks to separate basal speed and binding requirements of the employed tasks to quantify their specific contributions to working memory capacity, as measured by Recall-1-Back tasks. A latent factor capturing individual differences in binding was incrementally predictive of working memory capacity, over and above a general factor capturing speed. These results indicate that the theory-driven task complexity manipulation in terms of binding requirements moderated the relation of mental speed tasks with cognitive ability in the predicted way. We conclude that binding requirements and, therefore, demands on working memory capacity offer a satisfactory account of task complexity that accounts for a large portion of individual differences in ability.

Differential Effects of Executive Processes on Working Memory

2016 ◽  
Vol 37 (4) ◽  
pp. 239-249
Author(s):  
Xuezhu Ren ◽  
Tengfei Wang ◽  
Karl Schweizer ◽  
Jing Guo
Keyword(s):  
Working Memory ◽  
Cognitive Processes ◽  
Latent Variable ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Attention Control ◽  
Executive Processes ◽  
Differential Effects ◽  
Prepotent Response ◽  
Two Measures

Abstract. Although attention control accounts for a unique portion of the variance in working memory capacity (WMC), the way in which attention control contributes to WMC has not been thoroughly specified. The current work focused on fractionating attention control into distinctly different executive processes and examined to what extent key processes of attention control including updating, shifting, and prepotent response inhibition were related to WMC and whether these relations were different. A number of 216 university students completed experimental tasks of attention control and two measures of WMC. Latent variable analyses were employed for separating and modeling each process and their effects on WMC. The results showed that both the accuracy of updating and shifting were substantially related to WMC while the link from the accuracy of inhibition to WMC was insignificant; on the other hand, only the speed of shifting had a moderate effect on WMC while neither the speed of updating nor the speed of inhibition showed significant effect on WMC. The results suggest that these key processes of attention control exhibit differential effects on individual differences in WMC. The approach that combined experimental manipulations and statistical modeling constitutes a promising way of investigating cognitive processes.

Working Memory Capacity and a Notorious Brain Teaser

2006 ◽  
Vol 53 (2) ◽  
pp. 123-131 ◽  
Author(s):  
Wim De Neys ◽  
Niki Verschueren
Keyword(s):  
Working Memory ◽  
Secondary Task ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Task Load ◽  
Normative Reasoning ◽  
Monty Hall Dilemma ◽  
Monty Hall ◽  
Memory Resources

Abstract. The Monty Hall Dilemma (MHD) is an intriguing example of the discrepancy between people’s intuitions and normative reasoning. This study examines whether the notorious difficulty of the MHD is associated with limitations in working memory resources. Experiment 1 and 2 examined the link between MHD reasoning and working memory capacity. Experiment 3 tested the role of working memory experimentally by burdening the executive resources with a secondary task. Results showed that participants who solved the MHD correctly had a significantly higher working memory capacity than erroneous responders. Correct responding also decreased under secondary task load. Findings indicate that working memory capacity plays a key role in overcoming salient intuitions and selecting the correct switching response during MHD reasoning.

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