Journalism as Model for Civic and Information Literacies

Journalism can serve as a generative disciplinary context for developing civic and information literacies needed to meaningfully participate in an increasingly networked and mediated public sphere. Using interviews with journalists, we developed a cognitive task analysis model, identifying an iterative sequence of production and domain-specific cognitive constructs of journalism expertise. We diagnose common discrepancies between professional practices and typical youth journalism pedagogies, and offer suggestions for teaching participatory politics and civic literacies through journalism.     

Attention and the Cognitive Penetrability of Perception

One sceptical rejoinder to those who claim that sensory perception is cognitively penetrable is to appeal to the involvement of spatial attention. While the sceptic is correct that some putative cases are accurately deflected in this way, the rejoinder oversimplifies the possible roles that attention might play in relevant contexts. This paper identifies alternative ways that selective attention might play a role in cognitive effects on perception. What emerges is a plausible and well-evidenced mental schema that describes attention-mediated cognitive penetration.     

Sample size determination for a matched-pairs study with incomplete data using exact approach

This research was motivated by a clinical trial design for a cognitive study. The pilot study was a matched-pairs design where some data are missing, specifically the missing data coming at the end of the study. Existing approaches to determine sample size are all based on asymptotic approaches (e.g., the generalized estimating equation (GEE) approach). When the sample size in a clinical trial is small to medium, these asymptotic approaches may not be appropriate for use due to the unsatisfactory Type I and II error rates. For this reason, we consider the exact unconditional approach to compute the sample size for a matched-pairs study with incomplete data. Recommendations are made for each possible missingness pattern by comparing the exact sample sizes based on three commonly used test statistics, with the existing sample size calculation based on the GEE approach. An example from a real surgeon-reviewers study is used to illustrate the application of the exact sample size calculation in study designs.     

The Characteristic Objects Method: A New Distance‐based Approach to Multicriteria Decision‐making Problems

Multicriteria decision‐making (MCDM) methods are concerned with the ranking of alternatives based on expert judgements made using a number of criteria. In the MCDM field, the distance‐based approach is one popular method for obtaining a final ranking. The technique for order preference by similarity to the ideal solution (TOPSIS) is a commonly used example of this kind of MCDM method. The TOPSIS ranks the alternatives with respect to their geometric distance from the positive and negative ideal solutions. Unfortunately, two reference points are often insufficient, especially for nonlinear problems. As a consequence of this situation, the final result ranking is prone to errors, including the rank reversals phenomenon. This study proposes a new distance‐based MCDM method: the characteristic objects method. In this approach, the preferences of each alternative are obtained on the basis of the distance from the nearest characteristic objects and their values. For this purpose, we have determined the domain and Fuzzy number set for all the considered criteria. The characteristic objects are obtained as the combination of the crisp values of all the Fuzzy numbers. The preference values of all the characteristic object are determined on the basis of the tournament method and the principle of indifference. Finally, the Fuzzy model is constructed and is used to calculate preference values of the alternatives, making it a multicriteria model that is free of rank reversal. The numerical example is used to illustrate the efficiency of the proposed method with respect to results from the TOPSIS method. The characteristic objects method results are more realistic than the TOPSIS results. Copyright © 2014 John Wiley & Sons, Ltd.     

Transgender and Gender Diverse Patients in Intensive Mood Disorder Treatment: A Comparative Examination of Clinical Presentation and Treatment Outcomes

Individuals who are transgender and gender diverse (TGD) are more likely to suffer from and to seek mental health services for mood disorders. Some literature suggests that TGD individuals, because of pervasive and systemic minority stress, may have more complex clinical presentations (i.e., psychiatric conditions and severity of symptoms) and may benefit from empirically based treatments to a lesser degree than their cisgender peers. However, research has yet to examine individuals who are TGD receiving treatment in specialized, intensive mood disorder treatment despite the propensity for them to be diagnosed with and treated for mood disorders. Using a sample of 1,326 adult patients in intensive mood disorder treatment (3.8% TGD), the clinical presentation and treatment outcomes were compared between patients who are TGD and cisgender. Contrary to previous research, TGD patients were largely similar if not healthier than their cisgender counterparts, including similar depression severity, quality of life, emotion dysregulation, and behavioral activation, and less severe rumination at admission. Despite similar to better reported mental health symptoms, TGD patients were diagnosed with more psychiatric conditions overall, including greater prevalence of social anxiety and neurodevelopmental diagnoses. Those who are TGD did not experience attenuated treatment response as predicted. Findings suggest that patients in intensive mood disorder treatment who are TGD may be more resilient than previously assumed, or supports may have increased to buffer effects of stigma on mental health, and emphasize the need to exercise discretion and sensitivity in diagnostic practices to prevent over-diagnosis and pathologizing of TGD individuals.     

The Relationship Between Attention,Interpretation, and Memory Bias During Facial Perception in Social Anxiety

Although cognitive theories suggest the interactive nature of information processing biases in contributing to social anxiety, most studies to date have investigated these biases in isolation. This study aimed at (a) testing the association between social anxiety and each of the threat-related cognitive biases: attention, interpretation, and memory bias; and (b) examining the relationship between these cognitive biases in facial perception. We recruited an unselected sample of 188 adult participants and measured their level of social anxiety and cognitive biases using faces displaying angry, disgusted, happy, and ambiguous versions of these expressions. All bias tasks were assessed with the same set of facial stimuli. Regression analyses showed that social anxiety symptoms significantly predicted attention avoidance and poorer sensitivity in recognizing threatening faces. Social anxiety was, however, unrelated to interpretation bias in our sample. Results of path analysis suggested that attention bias influenced memory bias indirectly through interpretation bias for angry but not disgusted faces. Our findings suggest that, regardless of social anxiety level, when individuals selectively oriented to faces displaying anger, the faces were interpreted to be more negative. This, in turn, predicted better memory for the angry faces. The results provided further empirical support for the combined cognitive bias hypothesis.     

Cognitive Beliefs Across the Symptom Dimensions of Pediatric Obsessive-Compulsive Disorder: Type of Symptom Matters

The cognitive model of obsessive-compulsive disorder (OCD) posits that dysfunctional cognitive beliefs are crucial to the onset and maintenance of OCD; however, the relationship between these cognitive beliefs and the heterogeneity of OCD symptoms in children and adolescents remains unknown. We examined how the major belief domains of the cognitive model (inflated responsibility/threat estimation, perfectionism/intolerance of uncertainty, importance/control of thoughts) and dysfunctional metacognitions were related to OCD symptoms across the following dimensions: doubting/checking, obsessing, hoarding, washing, ordering, and neutralization. Self-report ratings from 137 treatment-seeking youth with OCD were analyzed. When cognitive beliefs and symptom dimensions were analyzed in tandem, inflated responsibility/threat estimation and dysfunctional metacognitions were uniquely related to doubting/checking, obsessing, and hoarding and perfectionism/intolerance of uncertainty to ordering. Cognitive beliefs explained a large proportion of variation in doubting/checking (61%) and obsessing (46%), but much less so in ordering (15%), hoarding (14%), neutralization (8%), and washing (3%). Similar relations between cognitive beliefs and symptom dimensions were present in children and adolescents. Cognitive beliefs appear to be relevant for pediatric OCD related to harm, responsibility, and checking, but they do not map clearly onto contamination and symmetry-related symptoms. Implications for OCD etiology and treatment are discussed.     

Homework

In commemoration of Dr. Aaron T. Beck’s enormous contributions to our field, I comment on the state of our knowledge regarding the role of homework in cognitive behavioral therapy. The available evidence suggests homework is a contributor to positive therapeutic outcomes in cognitive behavioral therapy. Although therapists play an important role in facilitating clients’ engagement with homework as they develop greater facility with CBT skills, little is known about the contributions of specific approaches to promoting homework engagement. I highlight some of these strategies and discuss the need for researchers to empirically evaluate them.     

Depression

Beck initially set out to test the Freudian notion that depression is a consequence of “anger turned inward” (rage directed the introjected parent for not gratifying infantile desires) but soon came to conclude that no such unconscious motivation existed and that instead depressed patients actually believe that they were unlovable or inadequate. He developed a treatment that he named cognitive therapy that is as efficacious as and more enduring than antidepressant medications. It stands as the most often tested and most widely practiced treatment for depression.     

Cognitive Reappraisal

A central tenet of Beck’s cognitive therapy (or cognitive behavior therapy) of the emotional disorders is that change in negative thought and beliefs is necessary for clinically significant symptom reduction in anxiety, depression, and other psychological conditions. Cognitive restructuring, a uniquely Beckian innovation, is a treatment strategy that directly targets cognitive reappraisal as the change mechanism responsible for symptom reduction. This commentary considers the origins of cognitive reappraisal in Beck’s cognitive therapy through the lens of cognitive restructuring and what treatment process research tells us about the mechanisms of change in cognitive restructuring.