Fixed-links Modeling Research Articles

On Correlated Errors

On Correlated Errors

"Have You Ever Seen This Face?" - Individual Differences and Event-Related Potentials during Deception.

Deception studies emphasize on the importance of event-related potentials (ERP) for a reliable differentiation of the underlying neuro-cognitive processes. The stimulus-locked parietal P3 amplitude has been shown to reflect stimulus salience but also attentional control available for stimulus processing. Known stimuli requiring truthful responses (targets) and known stimuli requiring deceptive responses (probes) were hypothesized to be more salient than unknown stimuli. Thus, a larger P3 was predicted for known truthful and deceptive stimuli than for unknown stimuli. The Medial Frontal Negativity (MFN) represents the amount of required cognitive control and was expected to be more negative to known truthful and deceptive stimuli than to unknown stimuli. Moreover, we expected higher sensitivity to injustice (SI-perpetrator) and aversiveness (Trait-BIS) to result in more intense neural processes during deception. N = 102 participants performed a deception task with three picture types: probes requiring deceptive responses, targets requiring truthful responses to known stimuli, and irrelevants being associated with truthful responses to unknown stimuli. Repeated-measures ANOVA and fixed-links modeling suggested a more positive parietal P3 and a more negative frontal MFN to deceptive vs. irrelevant stimuli. Trait-BIS and SI-perpetrator predicted an increase of the P3 and a decrease of the MFN from irrelevants to probes. This suggested an intensification of stimulus salience and cognitive control across picture types in individuals scoring either higher on Trait-BIS or higher on SI-perpetrator. In contrast, individuals with both higher Trait-BIS and higher SI-perpetrator scores showed a less negative probe-MFN suggesting that this subgroup invests less cognitive control to probes. By extending prior research we demonstrate that personality modulates stimulus salience and control processes during deception.

How does attention relate to the ability-specific and position-specific components of reasoning measured by APM?

The aim of the present study was to clarify the nature of the ability-specific and position-specific components of Raven's Advanced Progressive Matrices (APM) by relating them to a number of types of attention. The ability-specific component represents the constant part of cognitive performance whereas the position-specific component reflects the changes in processing of reasoning items as a result of the changing item position. A special model denoted fixed-links model was used to decompose the data of APM into independent components. Both components were related to two higher-order units of attention, perceptual attention and executive attention, which were derived from the various types of attention. In a sample of 226 participants the position-specific component of APM showed a substantially higher link with executive attention than with perceptual attention whereas the ability-specific component only showed a moderate link with perceptual attention.

Decay of iconic memory traces is related to psychometric intelligence: A fixed-links modeling approach

Several memory processes have been examined regarding their relation to psychometric intelligence with the exception of sensory memory. This study examined the relation between decay of iconic memory traces, measured with a partial-report task, and psychometric intelligence, assessed with the Berlin Intelligence Structure test, in 111 participants. Using a fixed-links modeling approach, the exponential decay of iconic memory traces was quantified and separated from the effects of (systematic variance due to) subsidiary processes unrelated to this decay. Higher psychometric intelligence was associated with slower decay of iconic memory traces even when the influence of selective and divided attention was controlled for. These findings provide first experimental evidence for a functional relationship between information processing in sensory memory and individual levels of psychometric intelligence. The use of fixed-links models is discussed with regard to delineating processes in a repeated-measures design.

Fixed‐links models for investigating experimental effects combined with processing strategies in repeated measures designs: A cognitive task as example

Fixed-links models enable the investigation of experimental effects in combination with processing strategies in the framework of repeated measures designs. The consideration of different processing strategies is reasonable whenever the task requirements can be met in different ways. Effects due to specific processing strategies become obvious in comparing the models representing these processing strategies and also by investigating the variances of the corresponding latent variables. The usefulness of such models is demonstrated by the reaction time data of a cognitive task including three treatment levels. Two different processing strategies were considered: analytic and holistic. The results indicated that the participants applied both processing strategies. The analytic strategy was primarily applied for performing with respect to the second and third treatment levels and the holistic strategy with respect to the first treatment level.

Investigating the relationship of working memory tasks and fluid intelligence tests by means of the fixed-links model in considering the impurity problem

The impurity of measures is considered as cause of erroneous interpretations of observed relationships. This paper concentrates on impurity with respect to the relationship between working memory and fluid intelligence. The means for the identification of impurity was the fixed-links model, which enabled the decomposition of variance into experimental and non-experimental parts. A substantial non-experimental part could be expected to signify impurity. In a sample of 345 participants error scores and reaction times, which were obtained by the Exchange Test, represented working memory, and Advanced Progressive Matrices served as measure of fluid intelligence. The four independent latent variables of the model associated with error scores and reaction times led to a multiple correlation .67 with the latent variable of fluid intelligence. However, there was impurity since the decomposition by means of the fixed-links model showed that only 45% of the common variance was due to working memory.

The Fixed-Links Model in Combination With the Polynomial Function as a Tool for Investigating Choice Reaction Time Data

A model with fixed relations between manifest and latent variables is presented for investigating choice reaction time data. The numbers for fixation originate from the polynomial function. Two options are considered: the component-based (1 latent variable for each component of the polynomial function) and composite-based options (1 latent variable for the weighted sum of components). The choice reaction time procedure yields reaction times for different numbers of stimuli that need to be monitored. The application of the model to such data enables the identification of the components of the polynomial function, which describe the effects of the different numbers of potential stimuli on reaction time. The investigation of the data stemming from a meta-analytic study revealed that the model with constant and quadratic components was most appropriate. Both the component-based and composite-based options led to this result. The composite-based option proved to be the more robust alternative.

The Fixed-Links Model for Investigating the Effects of General and Specific Processes on Intelligence

This article presents a model for investigating the effects of general and specific processes on intelligence as criterion variable. The model enables the representation of the processes as exogenous latent variables that predict the criterion, that is, the endogenous latent variable. The representation of these processes is achieved by the decomposition of the variances of the manifest variables. The decomposition presupposes the constraint of the loadings of the manifest variables on the latent variables. Smooth functions obtained on the basis of mean scores aid the attainment of constraints for the specific processes. Several alternative types of constraints for the general process are considered. The results of an empirical investigation demonstrate that constraints according to weighted uniformity are most appropriate. An example is provided.

The Fixed-Links Model for Investigating the Effects of General and Specific Processes on Intelligence

The Fixed-Links Model for Investigating the Effects of General and Specific Processes on Intelligence