RELIGIOUS AND MYSTICAL STATES: A NEUROPSYCHOLOGICAL MODEL

Abstract. This paper first considers the current confusion in categorizing and even describing mystical states, including experiences of God, the Void, and lesser religious experiences. The paper presents the necessity of studying the neuropsychological substrate of such experiences both to understand them in greater depth and to help resolve scholarly confusion in this area. As a prelude to presenting a neuropsychological model, the basic principles of brain organization are reviewed, including hemispheri-city; primary, secondary, and tertiary sensory receptive areas; their motor analogues; prefrontosensorial polarity; and the integration of limbic functioning into cortical activity. A neuropsychological model for mystical states is then presented in terms of differential stimulation and deafferentation of various tertiary sensory association areas, along with integration of various patterns of limbic stimulation.     

Testing Measurement Invariance of the Dark Triad Dirty Dozen in a Belgian Adult Sample

The Dirty Dozen (Jonason & Webster, 2010) is a frequently used concise version of the Dark Triad to measure three socially aversive personality traits: Machiavellianism, psychopathy and, narcissism. The present study has examined measurement invariance in a sample of Belgian adults. The present study aims to assess measurement invariance of the Dutch version of the Dirty Dozen measure across gender in a large city-based representative adult sample in Belgium (N = 1587). Multi-group first-order confirmatory factor analysis for categorical indicators was utilized. In addition, unique associations between Dirty Dozen traits, trait self-control and, acceptance of illegitimate norms were examined in a series of structural equation models. Results indicated that the internal consistency of the Dirty Dozen subscales was good for Machiavellianism (α = 0.80) and narcissism (α = 0.80), but modest for psychopathy (α = 0.64). The hypothesized three correlated factors model with separate factors for Machiavellianism, psychopathy and, narcissism provided a poor fit for men and women. Invariance testing across gender showed evidence for weak invariance only, indicating that the underlying latent factors are measured the same way with the same metric in the two populations. However, we were not able to establish strong measurement invariance. Observed group differences should be interpreted with caution. Furthermore, Machiavellianism and psychopathy were strongly associated with trait self-control in both men and women. Strong correlations were found between acceptance of illegitimate norms and Dirty Dozen traits, Machiavellianism and, psychopathy, but not with narcissism.     

Factor structure and measurement invariance of the multidimensional driving style inventory across gender and age: An ESEM approach

The Multidimensional Driving Style Inventory (MDSI) is the most comprehensive measure of typical driving behavior to date and has been frequently used to compare driving styles across different groups of drivers, particularly between gender- and age-related groups. However, the factor structure of MDSI has not been clearly established and its measurement invariance has not been demonstrated. The goal of the present study was to examine the internal structure and measurement invariance of the MDSI across gender and age. A sample of 1277 drivers from Argentina responded to the Argentinian version of the MDSI. Exploratory structural equation modeling (ESEM) was used to test the factor structure and measurement invariance across females (n = 602) and males (n = 675), and across young (18–29, n = 558), adult (30–49, n = 395) and older (50 and older, n = 317) drivers. The results showed that a 36-item six-factor ESEM model represented by risky, angry, dissociative, anxious, distress-reduction and careful and patient driving styles was the best model based on fit indices and interpretability. Configural, weak and strong invariance of the six-factor ESEM model across gender and age was also supported. The MDSI in its Argentinian version is equivalent across gender and age, supporting the validity of previous research findings examining gender and age differences in driving styles. Future studies should examine the measurement invariance of the MDSI across other relevant driving-related variables.     

等效性检验——结构方程模型评价和测量不变性分析的新视角

常用的结构方程模型拟合指数存在一定局限, 如χ ²以传统零假设为目标假设, 无法验证模型, 而RMSEA和CFI等描述性的拟合指数不具备推断统计性质, 等效性检验有效弥补了这些问题。首先说明等效性检验如何评价单个模型的拟合, 并解释其与零假设检验的不同, 然后介绍等效性检验如何分析测量不变性, 接着用实证数据展示了等效性检验在单个模型评价和测量不变性检验中的效果, 并与传统模型评价方法比较。     

Computational Versus Associative Models of Simple Conditioning

In associative models of simple conditioning, conductive connections (associations, Hebbian synapses) are strengthened by the repetitive temporal pairing of stimuli. The associations cause the animal to behave more adaptively, but they do not encode information about objectively specifiable properties of the conditioning experience. In information processing (computational) models, the temporal intervals in that experience are timed and the results recorded in memory for later use in computations that determine the decisions whether and when to respond to the conditioned stimulus. The predictions of these latter models depend on the ratios of remembered and currently experienced temporal intervals; hence, they are time-scale invariant. Two examples of empirical time-scale invariance are described: Neither the delay of reinforcement nor the ratio of reinforced to unreinforced presentations of the conditioned stimulus affects rates of acquisition and extinction. Time-scale invariance has far-reaching implications for models of the processes that underlie conditioning, for example, models of Hebbian synapses.     

Factorial invariance and latent mean differences of the Beck Depression Inventory – second edition (BDI-II) across gender in South African university students

This study examined the measurement invariance of scores from the BDI-II as well as the differences in latent mean scores by gender. Participants were 919 South African university students (females = 72%). They completed the BDI-II, which is a measure of Negative Attitude (NA), Performance Difficulty (PD), Somatic Complaints (S) and Depression (D). The data were analysed utilising multigroup confirmatory factor analyses (MCFA). Evidence of factorial invariance was established at the level of configural, metric and scalar invariance, across gender groups. Females scored significantly higher latent means on measures of NA and S compared to males.     

Measurement invariance across gender and ethnicity on the Emotional Quotient Inventory 2.0

This study investigated the measurement invariance of the Emotional Quotient Inventory 2.0 across gender and ethnic groups in South Africa. The sample consisted of 1 144 working adults (female = 49.8%. black = 36.2%, white = 29.8%; other = 34%; age range = 18 to 74 years). Multiple group factor analysis was conducted to test for configural, metric, and scalar invariance. Results suggest that the assessment is largely invariant at configural and metric levels across gender and ethnic groups. At scalar level, full invariance was achieved for ten of the fifteen scales across gender and one scale across ethnicity. Partial scalar models were explored for all other scales. Overall, the evidence seems to suggest that the scores from the Emotional Quotient Inventory 2.0 scales had similar meanings for different gender and ethnic groups. However, for a few scales across gender, and more so for ethnicity, it seems that participant responses might also be influenced by factors other than the underlying latent constructs. Thus, while the scales of the assessment appears to be largely invariant at the configural and metric levels, a more nuanced picture emerged at scalar level with partially invariant models, especially across ethnic groups.     

The classmates social isolation questionnaire (CSIQ): An initial validation

Social Isolation means having a lack of social contacts. This study reports a first validation of a brief self-report measure, the Classmates Social Isolation Questionnaire (CSIQ). The CSIQ is a questionnaire for children which assesses social isolation from classmates within the classroom as well as outside school. Data was based on a nationally representative sample of 26,670 Italian fifth grade students. Through exploratory and confirmatory factor analyses the bidimensional structure of the scale was established. The CSIQ showed measurement invariance both across gender and across groups with different immigrant backgrounds.Various tests of criterion validity had positive results and the CSIQ appears to be a valid and time-efficient instrument that can make a contribution to the study of social isolation and correlated factors.     

Dyadic measurement invariance and its importance for replicability in romantic relationship science

Comparisons of group means, variances, correlations, and/or regression slopes involving psychological variables rely on an assumption of measurement invariance—that the latent variables under investigation have equivalent meaning and measurement across group. When measures are noninvariant, replicability suffers, as comparisons are either conceptually meaningless, or hindered by inflated Type I error rates. We propose that the failure to account for interdependence among dyad members when testing measurement invariance may be a potential source of unreplicable findings in relationship research. We developed fully dyadic versions of invariance models, created an R package (dySEM) to make specifying dyadic invariance models easier and reporting more reproducible, and executed a Registered Report for gauging the extent of dyadic (non)invariance in romantic relationship research across measures of relationship well‐being, personality, and sexuality in a sample of 282 heterosexual couples. We found that although a number of popular measures display good evidence of dyadic invariance, a few display concerning levels and interesting patterns of noninvariance, while others appeared either noninvariant or poorly fitting for both men and women. We discuss our findings in terms of their meaning for the replicability dyadic close relationship research. We close by arguing that increased theorizing and research on dyadic invariance, and inclusive methods for analyzing invariance with indistinguishable dyads, are needed to capitalize on the opportunity to advance our field's understanding of dyadic constructions of relational concepts.