Clustering, seriation, and subset extraction of confusion data

The study of confusion data is a well established practice in psychology. Although many types of analytical approaches for confusion data are available, among the most common methods are the extraction of 1 or more subsets of stimuli, the partitioning of the complete stimulus set into distinct groups, and the ordering of the stimulus set. Although standard commercial software packages can sometimes facilitate these types of analyses, they are not guaranteed to produce optimal solutions. The authors present a MATLAB *.m file for preprocessing confusion matrices, which includes fitting of the similarity-choice model. Two additional MATLAB programs are available for optimally clustering stimuli on the basis of confusion data. The authors also developed programs for optimally ordering stimuli and extracting subsets of stimuli using information from confusion matrices. Together, these programs provide several pragmatic alternatives for the applied researcher when analyzing confusion data. Although the programs are described within the context of confusion data, they are also amenable to other types of proximity data.     

Nearest vertex attraction for actively reducing loss

In recent years the neural networks have received considerable success on classification tasks. The randomly initialized network is generally expected to adjust the weights for reducing the loss, which is also indicated as the total distance from the samples to the corresponding vertices. However, the output space of the conventional neural networks suffers from the fixed relation between the labels and vertices during learning. This case forces the mapped points around the unexpected vertex across the decision boundary into the neighborhood of the correct vertex, and simultaneously the boundary points cannot obtain the substantial rectification. Therefore, this study proposes a novel nearest vertex attraction (NVA) to actively adjust the relation between the categories and the output vertices for improving the neural network classifiers. The best relation allows that the data points can be attracted by the nearest vertices to minimize the total moving distances. In this way, the mapped points that are near to the vertices and the decision boundaries obtain the decent management. We evaluated the NVA with several conventional classification techniques and other neural network classifiers on 12 public UCI datasets. The numerical experiments demonstrate that the proposed method improves performance of the neural network classifiers on the involved benchmarks.     

Managing one's social identity: Successful and unsuccessful identity management

This work explores the motivational dynamics of social identity management. Following social identity theory, we hypothesized that a threat to a positive social identity elicits specific negative emotions (i.e., outgroup‐directed anger) and motivates identity management. Successful identity management restores a positive social identity and decreases outgroup‐directed anger. However, when a successful identity management is blocked (e.g., because of limited cognitive resources), identity management will be unsuccessful and outgroup‐directed anger will remain at a higher level. This effect of unsuccessful identity management on outgroup‐directed anger should be particularly strong for group members who highly value their group (i.e., high group‐based self‐esteem). A negative comparison outcome is discrepant with these group members' positive view of the ingroup, and therefore, unsuccessful identity management should especially elicit negative emotions (i.e., anger) towards the threatening outgroup. Two studies tested these predictions. Study 1 (N = 110) showed that participants' outgroup‐directed anger increased when threatened under cognitive load. Study 2 (N = 99) demonstrated that this was particularly true for participants high in group‐based self‐esteem. The results' implications for research on the motivational processes underlying social identity management are discussed. Copyright © 2014 John Wiley & Sons, Ltd.     

Excessive Worrying as a Central Feature of Anxiety during the First COVID-19 Lockdown-Phase in Belgium: Insights from a Network Approach

Since the WHO declared the COVID-19 pandemic on March 11, 2020, the novel coronavirus, SARS-CoV-2, has profoundly impacted public health and the economy worldwide. But there are not the only ones to be hit. The COVID-19 pandemic has also substantially altered mental health, with anxiety symptoms being one of the most frequently reported problems. Especially, the number of people reporting anxiety symptoms increased significantly during the first lockdown-phase compared to similar data collected before the pandemic. Yet, most of these studies relied on a unitary approach to anxiety, wherein its different constitutive features (i.e., symptoms) were tallied into one sum-score, thus ignoring any possibility of interactions between them. Therefore, in this study, we seek to map the associations between the core features of anxiety during the first weeks of the first Belgian COVID-19 lockdown-phase (n = 2,829). To do so, we implemented, in a preregistered fashion, two distinct computational network approaches: a Gaussian graphical model and a Bayesian network modelling approach to estimate a directed acyclic graph. Despite their varying assumptions, constraints, and computational methods to determine nodes (i.e., the variables) and edges (i.e., the relations between them), both approaches pointed to excessive worrying as a node playing an especially influential role in the network system of the anxiety features. Altogether, our findings offer novel data-driven clues for the ongoing field’s larger quest to examine, and eventually alleviate, the mental health consequences of the COVID-19 pandemic.     

Detection of change in shape and its relation to part structure

Using a change detection paradigm (Barenholtz, E., Cohen, E. H., Feldman, J., & Singh, M. (2003). Detection of change in shape: An advantage for concavities. Cognition, 89(1) 1-9), we measured sensitivity to the changes of shapes and in particular the difference between detecting a new convex or concave vertex. We conclude that concave vertices per se are not more salient, but changes in the sequence of convexities and concavities along a contour are salient. We argue that these changes are likely to signal a change in perceived part structure.     

Alphabetic confusion: A test of models for individuals

An earlier article reported extensive analyses of confusion data compiled from group averages (Townsend, 1971). The present study provided for essentially the same analyses with different long-term data obtained with two individuals, the primary intent being to examine the ability of recognition and scaling models to explain data at the individual level (which the recognition models purport to describe) and to compare the confusion characteristics of the English uppercase alphabet between the two Ss and between the individual Ss and the group-averaged data. The choice and overlap models were superior to the all-or-none model in predicting the empirical confusion matrices and tended to explain the data structure in a similar manner. Multidimensional scaling analysis again supported a Euclidean metric and suggested four or five underlying stimulus dimensions. However, as before, there were no overriding intuitively appealing psychological dimensions corresponding to these, and possible reasons are discussed. The choice and overlap models appeared to fit as well or better at the individual level than at the group level and the all-or-none model to fit worse. In the present study, probability correct was fit even better by the all-or-none model than in the group study and replicated the result of being better here than the overlap and choice models. Individuals and the group were consistent in their sensory confusions as represented by similarity parameters in the choice and overlap models but differed in their response biases. A simple measure of physical similarity explained 50% of the variance of the similarity structure in the confusion data.     

Recursive Partitioning with Nonlinear Models of Change

In this article, we introduce nonlinear longitudinal recursive partitioning (nLRP) and the R package longRpart2 to carry out the analysis. This method implements recursive partitioning (also known as decision trees) in order to split data based on individual- (i.e., cluster) level covariates with the goal of predicting differences in nonlinear longitudinal trajectories. At each node, a user-specified linear or nonlinear mixed-effects model is estimated. This method is an extension of Abdolell et al.'s (2002) longitudinal recursive partitioning while permitting a nonlinear mixed-effects model in addition to a linear mixed-effects model in each node. We give an overview of recursive partitioning, nonlinear mixed-effects models for longitudinal data, describe nLRP, and illustrate its use with empirical data from the Early Childhood Longitudinal Study—Kindergarten Cohort.     

Choice biases in delayed matching-to-sample duration with pigeons: Manipulations of ITI and delayillumination

Two experiments investigated the effects of similarity between intertrial interval (ITI) and delay illumation on the choose-short effect. Different groups of pigeons learned to match 'short' (2 s) and 'long' (6 or 8 s) food samples to green and red test stimuli in a matchingto-sample procedure with a 5-s training delay.Subsequent 10- and 20-s delay tests revealed choose-short effects if the ITI and delay were both illuminated (i.e., group ON-ON), if the ITI and delay were both dark (i.e., group OFF-OFF), and if the ITI was illuminated and the delay was dark (i.e., group ON-OFF). In addition, either a choose-short effect or a chooselong effect was observed if the ITI was dark and the delay was illuminated (i.e., group OFFON). Results are incompatible with the confusion/instructionalfailure viewof the choose-short effect.     

Near,Far, or In Between?—Target Edges and the Transport Component of Prehension

It is well known that during visually guided prehension movements the peak velocity of the arm is scaled for object distance (e.g., Gentilucci et al., 1991; Jakobson & Goodale, 1991; Servos, Goodale, & Jakobson, 1992). Those movements are being directed not to single points in space, however, but rather to objects with extent. Thus, object distance must be computed relative to some particular point on the object. Whether that point corresponds to the location of a particular edge, for example, has not been clearly demonstrated. In the present study, subjects (N = 9) were presented with a series of oblong blocks positioned at different locations. Peak velocity increased with object size for reaches in which different-sized objects had their near edges lined up; in contrast, the peak velocities of reaches directed to objects of different sizes did not differ when the far edges of the objects were lined up. The present study, therefore, provided confirmation that subjects calibrate the peak velocity of their reaches relative to the far edge of a target object.     

A meta-analytic evaluation of the impact of dimension and exercise factors on assessment center ratings

Two recent reviews have attempted to summarize findings quantitatively regarding assessment center (AC) construct-related validity (i.e., Lance, Lambert, Gewin, Lievens, & Conway, 2004; Lievens & Conway, 2001). Unlike these previous studies, which reanalyzed individual multitrait-multimethod (MTMM) matrices from previously published research, the authors recoded and combined past matrices into a single MTMM matrix. This matrix, comprised of 6 dimensions each measured by 6 exercises, was then analyzed, providing a more generalizable set of results. Both dimensions and exercises were found to contribute substantially to AC ratings. Specific dimensions (i.e., communication, influencing others, organizing and planning, and problem solving) appeared more construct valid than others (i.e., consideration/awareness of others and drive). Implications for AC design and practice are discussed.     

S-multiplicativity of a stochastic matrix and applications to visual identification

A stochastic matrix is called S-multiplicative if the conditional probabilities in a specific subset S of its cells can be factorized into the product of two functions depending on the rows and columns, respectively. The concept of S-multiplicativity is related to Goodman's concept of quasi-independence and generalizes Falmagne's concept of a multiplicative confusion matrix, where S consists of the cells lying outside the main diagonal ($\text{D}$-multiplicativity). In the present study, the notion of S-multiplicativity is applied to the analysis of visual identification performance. The confusion matrices obtained from three identification experiments are tested for predictions of S-multiplicativity derived from the multicomponent theory of perception. If the stimuli do not overlap, i.e., different stimuli have no features in common, then the theory predicts a $\text{D}$-multiplicative confusion matrix. Alternatively, in the case of overlapping stimuli the theory predicts S-multiplicativity with respect to a more severely restricted subset S. These predictions are confirmed by the data.     

Reception and willingness to share pseudo‐profound bullshit and their relation to other epistemically suspect beliefs and cognitive ability in Slovakia and Romania

Propensity to judge randomly generated, syntactically correct (i.e., bullshit) statements as profound is associated with a variety of conceptually relevant variables (e.g., intuitive cognitive style and supernatural beliefs). Besides generalizing these findings to a different cultural setting, we examined the relationships to sharing the bullshit on social media. Rating nonsense as profound was associated with a lower cognitive ability; a stronger belief in the paranormal, alternative medicine, and conspiracies; and ontological confusion. The more profound a statement was rated to be, the more likely it was to be shared, and propensity for sharing bullshit was predicted by ontological confusion and religious beliefs. Bullshit receptivity and sharing may be closely related to several dimensions of epistemically suspect beliefs; people with these propensities are relatively open to vague statements resembling New Age spirituality.     

Replicated alternatives and the role of confusion,chasing, and regret in decisions from experience

The current paper explores choice among alternatives that can be classified into distinct classes. All the members of a particular class were ‘replicated alternatives’: they promised the same payoff distribution. Information to decision makers was limited to feedback concerning the realized (obtained and foregone) payoffs. Experiment 1 demonstrates that increasing the number of replicated alternatives creates confusion (which facilitates random choice) and changes the implications of the tendency to chase recent returns (i.e., select the alternative with the best recent outcomes). This effect, termed ‘confused chasing,’ facilitates risk seeking even when this behavior impairs expected earnings. Experiment 2 reveals that increasing the number of replicated alternatives can reduce (but does not eliminate) the tendency to underweight rare events. Experiment 3 shows that the relative importance of chasing and confusion is sensitive to the likelihood of realizing lower payoffs than the forgone payoffs. The main results are summarized with a simple model assuming that payoff sensitivity decreases with experienced regret. Copyright © 2006 John Wiley & Sons, Ltd.     

Source confusion as an explanation of cultivation: a test of the mechanisms underlying confusion of fiction with reality on television

Cultivation studies have found evidence that heavy television viewers adopt a world view congruent with how the world is portrayed in fictional television programs. An explanation is that viewers may remember fictional TV stories as realistic stories or news (fiction-to-news confusion). Until now, fiction-to-news confusion was found only if at least a week evolved between watching TV and asking viewers what was remembered. The present study conducted with a purposive sample of students and employees of a college in The Netherlands (N=96; M age = 28.6 yr., SD = 10.9) indicates that fiction-to-news confusions can also occur almost immediately after watching. In addition, whereas earlier research suggests that fiction-to-news confusions are associated with heavy viewing, i.e., more confusion when more hours per day are spent on TV viewing in leisure time, and faulty memory, the present study more specifically suggests that participants make many fiction-to-news confusions when they are exposed to relatively many fictional TV fragments that contain threatening, violent events.     

Relationships of Contextual Factors and Personal Identity to Externalizing Problem Behavior Among Iranian Early Adolescents

In the present study, we evaluated a model of relations among contextual factors (family, school, and peer group), personal identity (i.e., coherence and confusion), and problem behavior among Iranian adolescents. The sample consisted of 765 Iranian adolescents and 615 primary caregivers. Results indicated that family functioning (adolescent report) was related to adolescent problem behavior (a) directly and (b) indirectly through identity confusion. Peer support on the other hand was solely indirectly related to adolescent problem behavior through identity confusion. School functioning was also significantly and negatively related to adolescent problem behavior. The present findings suggest that identity and contextual factors play important roles in steering Iranian adolescents toward or away from behavior problems. Implications for further research are discussed.     

An Interpersonal Analysis of Adult Attachment Style: Circumplex Descriptions, Recalled Developmental Experiences, Self-Representations, and Interpersonal Functioning in Adulthood

Previous research suggests that the structure of adult attachment is dimensional, but the specific dimensions remain unclear. Given its relational nature, studies should examine attachment structure in association with conceptually related interpersonal constructs. The interpersonal model ( Kiesler, 1996 ) provides an integrative framework to examine this structure and associations between dimensions of attachment security (i.e., Anxiety and Avoidance) and: 1) the dimensions of the interpersonal circumplex, 2) the five‐factor model of personality, 3) recollections of mothers and fathers, and 4) current self‐processes and adult social functioning. In two samples of undergraduates, the Anxiety and Avoidance dimensions were associated with a hostile‐submissive interpersonal style. Canonical correlation analyses revealed that dimensions representing combinations of Anxiety and Avoidance, and roughly corresponding to the dimensions from Secure (i.e., low Anxiety and Avoidance) to Fearful (i.e., high Anxiety and Avoidance) attachment and from Preoccupied (i.e., high Anxiety and low Avoidance) to Dismissive (i.e., low Anxiety and high Avoidance) attachment related to the interpersonal constructs. The Secure to Fearful dimension (i.e., overall attachment security) seemed to share relatively more variance with the interpersonal constructs. These dimensions were associated with theoretically consistent characteristics, recollections of early experiences with parents, self‐representations, and social functioning.     

An interpersonal analysis of adult attachment style: circumplex descriptions,recoiled developmental experiences,self-representations,and interpersonal functioning in adulthood

Previous research suggests that the structure of adult attachment is dimensional, but the specific dimensions remain unclear. Given its relational nature, studies should examine attachment structure in association with conceptually related interpersonal constructs. The interpersonal model (Kiesler, 1996) provides an integrative framework to examine this structure and associations between dimensions of attachment security (i.e., Anxiety and Avoidance) and: 1) the dimensions of the interpersonal circumplex, 2) the five-factor model of personality, 3) recollections of mothers and fathers, and 4) current self-processes and adult social functioning. In two samples of undergraduates, the Anxiety and Avoidance dimensions were associated with a hostile-submissive interpersonal style. Canonical correlation analyses revealed that dimensions representing combinations of Anxiety and Avoidance, and roughly corresponding to the dimensions from Secure (i.e., low Anxiety and Avoidance) to Fearful (i.e., high Anxiety and Avoidance) attachment and from Preoccupied (i.e., high Anxiety and low Avoidance) to Dismissive (i.e., low Anxiety and high Avoidance) attachment related to the interpersonal constructs. The Secure to Fearful dimension (i.e., overall attachment security) seemed to share relatively more variance with the interpersonal constructs. These dimensions were associated with theoretically consistent characteristics, recollections of early experiences with parents, self-representations, and social functioning.     

Oh, it's you again: memory interference from irrelevant emotional and neutral faces

In two experiments, repeated runs of a continuous recognition task were employed to assess healthy participants' ability to handle interference from irrelevant emotional and neutral memories. Presumably, such interference can be due to salience from either emotional or mnemonic processing. In both experiments, participants made more false alarms to emotional faces that were familiar from preceding runs (i.e., emotion-induced temporal-context confusion). Participants performed well for neutral faces in the first experiment including only two runs. However, increasing the number of runs to four in the second experiment induced temporal context confusion also for neutral faces. The findings suggest that memory interference can be induced when the salience of irrelevant information is erroneously considered diagnostic for memory judgements.     

Trust, trustworthiness, and trust propensity: a meta-analytic test of their unique relationships with risk taking and job performance

The trust literature distinguishes trustworthiness (the ability, benevolence, and integrity of a trustee) and trust propensity (a dispositional willingness to rely on others) from trust (the intention to accept vulnerability to a trustee based on positive expectations of his or her actions). Although this distinction has clarified some confusion in the literature, it remains unclear (a) which trust antecedents have the strongest relationships with trust and (b) whether trust fully mediates the effects of trustworthiness and trust propensity on behavioral outcomes. Our meta-analysis of 132 independent samples summarized the relationships between the trust variables and both risk taking and job performance (task performance, citizenship behavior, counterproductive behavior). Meta-analytic structural equation modeling supported a partial mediation model wherein trustworthiness and trust propensity explained incremental variance in the behavioral outcomes when trust was controlled. Further analyses revealed that the trustworthiness dimensions also predicted affective commitment, which had unique relationships with the outcomes when controlling for trust. These results generalized across different types of trust measures (i.e., positive expectations measures, willingness-to-be-vulnerable measures, and direct measures) and different trust referents (i.e., leaders, coworkers).     

Crime,drug abuse,mental illness,and homelessness

In this project, 345 homeless persons were interviewed during the period from May, 1985 to May, 1986 in Richmond, Virginia. Data reveal that current afflictions (e.g., hallucinations) are related to major life events in the past (i.e., psychiatric hospitalizations). Further, certain experiences prior to adulthood (e.g., drug use) predict these major life events (e.g., crime). Thus, the data support a general “drift down” hypothesis as a useful explanation of homeless for future theory development. Some policy implications are given.