scholarly journals Psychopathy and traumatic brain injury (TBI

2021 ◽  
Author(s):  
Craig S Neumann
Keyword(s):  
Traumatic Brain Injury ◽  
Structural Equation Modeling ◽  
Brain Injury ◽  
Structural Equation ◽  
Psychopathic Traits ◽  
Equation Modeling ◽  
Large Sample ◽  
Incarcerated Females

The current project used structural equation modeling to uncover the links between previous TBI and psychopathic traits in a large sample of incarcerated females. Age of TBI onset and severity were significantly associated with increased psychopathic traits

Cognitive Reserve Components as Expressed in Traumatic Brain Injury

2013 ◽  
Vol 19 (6) ◽  
pp. 664-671 ◽  
Author(s):  
Yifat Levi ◽  
Yuri Rassovsky ◽  
Eugenia Agranov ◽  
Michal Sela-Kaufman ◽  
Eli Vakil
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Brain Damage ◽  
Structural Equation ◽  
Cognitive Reserve ◽  
Empirical Support ◽  
Leisure Activity ◽  
Distinct Pattern ◽  
Equation Modeling ◽  
Underlying Structure

AbstractTraumatic brain injury (TBI) is the most common cause of brain damage, resulting in long-term disability. The “reserve” construct has been proposed to account for the reported mismatch between brain damage and its clinical expression. Although numerous studies have used various measures thought to reflect this construct, few studies have examined its underlying structure in clinical populations, and no studies have systematically studied this construct in TBI. In the present study, structural equation modeling technique was used to evaluate several models hypothesized to represent cognitive reserve (CR) in TBI. A broad range of data typically reported in the literature as representing CR was collected from 89 individuals who sustained moderate-to-severe TBI. Analyses revealed a best fitting model that consisted of three separate factors representing premorbid intelligence, socioeconomic status and leisure activity, with distinct pattern of associations among the three factors. Findings provide empirical support for the notion of a multi-factorial CR and suggest a coherent framework for further investigation. (JINS, 2013,19, 1–8)

scholarly journals Structural equation modeling of the associations between amygdala activation, personality, and internalizing, externalizing symptoms of psychopathology

2020 ◽  
Vol 3 ◽  
Author(s):  
Craig S. Neumann
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Externalizing Symptoms ◽  
Self Report ◽  
Equation Modeling ◽  
Affective Neuroscience ◽  
Large Sample ◽  
Amygdala Activation ◽  
Human Connectome Project ◽  
Personality Psychopathology

Abstract There is an expanding literature on the theoretical and empirical connections between personality and psychopathology, and their shared neurobiological correlates. Recent cybernetic theories of personality and psychopathology, as well as affective neuroscience theory, provide grounding for understanding neurobiological–personality–psychopathology (NPP) associations. With the emergence of large sample datasets (e.g., Human Connectome Project) advanced quantitative modeling can be used to rigorously test dynamic statistical representations of NPP connections. Also, research suggests that these connections are influenced by sex, and large samples provide the opportunity to examine how NPP associations might be moderated by sex. The current study used a large sample from the Duke Neurogenetics Study (DNS) to examine how amygdala activation to facial expressions was linked with self-report of personality traits and clinical interviews of internalizing and externalizing symptoms of psychopathology. Structural equation modeling results revealed direct associations of amygdala activation with personality trait expression, as well as indirect associations (though personality) with symptoms of psychopathology. Moreover, the NPP links were moderated by sex. The current results are in line with research that identifies a broader role played by the amygdala in personality and provide potential insights for continued research in personality neuroscience and recent theories on the neurobiology of personality.

scholarly journals Predictors of Memory and Processing Speed Dysfunctions after Traumatic Brain Injury

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
William Winardi ◽  
Aij-Lie Kwan ◽  
Tse-Lun Wang ◽  
Yu-Feng Su ◽  
Chun-Po Yen ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Processing Speed ◽  
Structural Equation ◽  
University Hospital ◽  
Equation Modeling ◽  
Clinical Predictors ◽  
Neurosurgical Department ◽  
Adult Intelligence Scale ◽  
Memory Processing

Background. The aims of this study were to evaluate the predictive value of admission Glasgow Coma Scale (GCS) scores, duration of unconsciousness, neurosurgical intervention, and countercoup lesion on the impairment of memory and processing speed functions six months after a traumatic brain injury (TBI) based on a structural equation modeling.Methods. Thirty TBI patients recruited from Neurosurgical Department at the Kaohsiung Medical University Hospital were administered the Wechsler Memory Scale-III (WMS-III) and the Wechsler Adult Intelligence Scale-III processing speed index to evaluate the memory and processing speed functions.Results. The study showed that GCS scores accounted for 40% of the variance in memory/processing speed. No significant predictive effects were found for the other three variables. GCS classification at the time of TBI seems to correspond moderately to the severity of memory/processing speed dysfunctions.Conclusions. The present study demonstrated that admission GCS score is a robust predictor of memory/processing speed dysfunctions after TBI. The results should be replicated with a large sample of patients with TBI, or be extended by examining other potential clinical predictors.

Bidirectional child–family influences on outcomes of traumatic brain injury in children

2001 ◽  
Vol 7 (6) ◽  
pp. 755-767 ◽  
Author(s):  
H. GERRY TAYLOR ◽  
KEITH OWEN YEATES ◽  
SHARI L. WADE ◽  
DENNIS DROTAR ◽  
TERRY STANCIN ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Behavior Problems ◽  
Child Behavior ◽  
Structural Equation ◽  
Child Behavior Problems ◽  
Equation Modeling ◽  
Post Injury ◽  
Family Outcomes ◽  
Related Family

Child behavior problems, injury-related family burden, and parent psychological distress were assessed longitudinally over the first year post injury in 40 children with severe traumatic brain injury (TBI), 52 with moderate TBI, and 55 with orthopedic injuries not involving brain insult. Parents rated children's preinjury behavior soon after injury. Postinjury child behavior and family outcomes were assessed at 6- and 12-month follow-ups. Findings from path analysis revealed both direct and indirect effects of TBI on child behavior and family outcomes, as well as cross-lagged child-family associations. Higher parent distress at 6 months predicted more child behavior problems at 12 months, controlling for earlier behavior problems; and more behavior problems at 6 months predicted poorer family outcomes at 12 months, controlling for earlier family outcomes. Support for bidirectional influences is tentative given that limited sample size precluded use of structural equation modeling. The findings nevertheless provide impetus for considering the influences of person-environment interactions on outcomes of TBI. (JINS, 2001, 7, 755–767.)

Testing the Assumption of Uncorrelated Errors for Short Scales by Means of Structural Equation Modeling

2014 ◽  
Vol 35 (4) ◽  
pp. 201-211 ◽  
Author(s):  
André Beauducel ◽  
Anja Leue
Keyword(s):  
Structural Equation Modeling ◽  
Negative Correlation ◽  
Structural Equation ◽  
Error Score ◽  
Classical Test Theory ◽  
Test Theory ◽  
Equation Modeling ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
True Score

It is shown that a minimal assumption should be added to the assumptions of Classical Test Theory (CTT) in order to have positive inter-item correlations, which are regarded as a basis for the aggregation of items. Moreover, it is shown that the assumption of zero correlations between the error score estimates is substantially violated in the population of individuals when the number of items is small. Instead, a negative correlation between error score estimates occurs. The reason for the negative correlation is that the error score estimates for different items of a scale are based on insufficient true score estimates when the number of items is small. A test of the assumption of uncorrelated error score estimates by means of structural equation modeling (SEM) is proposed that takes this effect into account. The SEM-based procedure is demonstrated by means of empirical examples based on the Edinburgh Handedness Inventory and the Eysenck Personality Questionnaire-Revised.

The Measurement Invariance of the Short Dark Triad

2020 ◽  
Vol 41 (4) ◽  
pp. 207-218
Author(s):  
Mihaela Grigoraș ◽  
Andreea Butucescu ◽  
Amalia Miulescu ◽  
Cristian Opariuc-Dan ◽  
Dragoș Iliescu
Keyword(s):  
Structural Equation Modeling ◽  
Item Response ◽  
Structural Equation ◽  
Dark Triad ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Scale Level ◽  
High Stake ◽  
Differential Functioning ◽  
Item Functioning

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

Childhood Intelligence Predicts Adult Trait Openness

2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Social Background ◽  
Study Data ◽  
Equation Modeling ◽  
Direct Effects ◽  
Data Set ◽  
National Child Development Study ◽  
Nationally Representative ◽  
The Uk

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.

Celebrity Worship Among University Students in Malaysia

2011 ◽  
Vol 16 (4) ◽  
pp. 334-342 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Khairul Mastor ◽  
Fatin Hazwani Siran ◽  
Mohammad Mohsein Mohammad Said ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Attitude Scale ◽  
Equation Modeling ◽  
Future Research ◽  
The West ◽  
Factor Solution ◽  
Movie Stars ◽  
Three Factor

The present study examined conceptual issues surrounding celebrity worship in a Malay-speaking population. In total, 512 Malay and 269 Chinese participants from Malaysia indicated who their favorite celebrity was and completed the Celebrity Attitude Scale (CAS) as well as a range of demographic items. Results showed that the majority of Malay and Chinese participants selected pop stars and movie stars as their favourite celebrities, mirroring findings in Western settings. In addition, exploratory factor analysis revealed a three-factor solution of the CAS that was consistent with previous studies conducted in the West. Structural equation modeling further revealed that participant’s age was negatively associated with celebrity worship and that self-rated attractiveness was positively associated with celebrity worship. Overall, the present results suggest that celebrity worship in Malaysia may be driven by market and media forces, and future research may well be guided by use of the CAS.

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