University Student Depression Inventory: Measurement model and psychometric properties

University Student Depression Inventory (USDI) was developed to assess the symptoms of depression among the university students. Considering the debilitating nature of depression among university students globally, USDI was translated in Persian and validated using university students from Iran. A battery including the Persian version of USDI and scales measuring suicide, depression, and stress was administered to a normative sample of 359 undergraduate students, and an additional clinical sample of 150 students referred to the university's mental health centre. The results supported the factor structure and the psychometric properties of the translated version. Confirmatory factor analysis upheld the previously reported three‐factor first‐order and one‐factor second‐order structure. The internal consistency, test‐retest reliability, and concurrent and discriminant validity of the Persian version were supported. Cut‐off points using receiver operating characteristic curve analysis were established to identify students at risk. Gender differences on the symptoms of depression were evident only in the normative sample, where male participants, compared with female students, had higher mean scores in lethargy, cognitive/emotion, and academic motivation subscales. The translated scale can be used with Persian‐speaking students in Iran and the neighbouring countries as well as those settled in the West to identify symptoms of depression for further evaluation and management.     

Homogeneity of cognitive and behavioural processes underlying the relationship between insomnia and body image disturbance

Cognitive Processing - Specific cognitive behavioural mechanisms related to selective attention, situational avoidance and physical appearance are implicated in the development and maintenance of...     

Honesty–Humility and the HEXACO Structure of Religiosity and Well-Being

Past research has shown that general and intrinsic religiosity is related to higher Big Five Agreeableness, Conscientiousness and, to some extent, Extraversion. With the rise of the six-factor HEXACO (Honesty–Humility, Emotionality, eXtraversion, Agreeableness, Conscientiousness, Openness) model of personality, however, a more differentiated look at religiousness and personality is called for. It has been suggested that religiosity is more associated with Honesty–Humility than with Agreeableness. The new personality factor, Honesty–Humility has also been shown to have null or weak relations with happiness. In 5 studies involving 1375 participants from Iran, Poland, and Malaysia, the relations of Honesty–Humility and other HEXACO dimensions to religious orientation and well-being outcomes were investigated. As expected, Honesty–Humility was one of the strongest personality correlate of religiosity. Higher scores on religiousness were also associated with Agreeableness, Conscientiousness, and to some extent, Extraversion showing that the main personality characteristics of religiosity are consistent across religious contexts and personality models. Relations of Honesty–Humility to psychological well-being scales were consistently positive and stronger than its relations to subjective well-being measures, suggesting that Honesty–Humility may not be “bad” for pleasure attainment and pain avoidance, but it is definitely “good” for living a virtuous, fully functioning life.     

Incorporating Demographic Embeddings Into Language Understanding

Meaning depends on context. This applies in obvious cases like deictics or sarcasm as well as more subtle situations like framing or persuasion. One key aspect of this is the identity of the participants in an interaction. Our interpretation of an utterance shifts based on a variety of factors, including personal history, background knowledge, and our relationship to the source. While obviously an incomplete model of individual differences, demographic factors provide a useful starting point and allow us to capture some of this variance. However, the relevance of specific demographic factors varies between situations—where age might be the key factor in one context, ideology might dominate in another. To address this challenge, we introduce a method for combining demographics and context into situated demographic embeddings—mapping representations into a continuous geometric space appropriate for the given domain, showing the resulting representations to be functional and interpretable. We further demonstrate how to make use of related external data so as to apply this approach in low‐resource situations. Finally, we show how these representations can be incorporated into improve modeling of real‐world natural language understanding tasks, improving model performance and helping with issues of data sparsity.     

The Effectiveness of Attachment Injury Resolution Model (AIRM) on Increasing Trust among the Injured Women with Marital Infidelity: A Case Study Approach

Abstract

Objective: The present study aimed at determining the effectiveness of emotionally-focused couple therapy, based on attachment injury resolution model (AIRM) on increasing trust among the injured women with marital infidelity. Method: The present study was a single case experiment of the multiple baseline design type. The population included all injured women with marital infidelity, referring to Bushehr family therapy clinics, among whom three women were selected and participated in the intervention through purposive sampling method, based on the desired recall, By considering the inclusion and exclusion criteria and answering the trust scale. Data analysis was conducted by visual analysis, clinically meaningful (reliable change index and normative comparison) and percentage improvement formula. Results: The percentage obtained from the overall increase of trust among the injured women during the therapy was 38.76 and follow-up was 48.58. In addition, the reliable change index during the therapy and a follow-up was 2.77 and 3.49 in the first couple, 3.10 and 3.62 in the second couple, 2.66 and 3.67 in the third couple indicating that these values were significant and higher than z?=?1.96 during the therapy and follow-up (p?=?0.05). Conclusion: Based on the research results, the emotionally-focused couple therapy based on attachment injury resolution model can be used as an effective intervention in reducing the injuries by marital infidelity.     

The buffering effect of family functioning on the psychological consequences of headache

The current study aimed to examine whether high family functioning mitigates the association between headache intensity and distress. The sample consisted of 124 patients with chronic or recurrent headache. Patients completed validated questionnaires about headache intensity, family functioning, and distress. Hierarchical regression analyses were performed to examine the interaction between headache intensity and family functioning on distress. Headache intensity was positively associated with distress (r = .28, p = .002). As hypothesized, family functioning moderated this association (B = ?.01, p = .023). More specifically, the positive association between headache intensity and distress was significant only among patients with lower family functioning (B = .01, p < .001) and not among patients with higher levels of family functioning (B = .006, p = .075). Functional families appear to buffer the distress level in patients; they showed relatively low levels of distress regardless of the severity of their headache. In contrast, patients with dysfunctional families who experienced more pain reported more distress, presumably because they did not receive adequate help and support from these families. This study underlines the importance of a broader perspective on family dynamics in coping with pain.     

TACIT: An open-source text analysis,crawling, and interpretation tool

As human activity and interaction increasingly take place online, the digital residues of these activities provide a valuable window into a range of psychological and social processes. A great deal of progress has been made toward utilizing these opportunities; however, the complexity of managing and analyzing the quantities of data currently available has limited both the types of analysis used and the number of researchers able to make use of these data. Although fields such as computer science have developed a range of techniques and methods for handling these difficulties, making use of those tools has often required specialized knowledge and programming experience. The Text Analysis, Crawling, and Interpretation Tool (TACIT) is designed to bridge this gap by providing an intuitive tool and interface for making use of state-of-the-art methods in text analysis and large-scale data management. Furthermore, TACIT is implemented as an open, extensible, plugin-driven architecture, which will allow other researchers to extend and expand these capabilities as new methods become available.     

The effect of fear‐inducing content on memory for advertisements and on retroactive and proactive interference of programme information

The current study focused on whether fear‐inducing content in television advertisements leads to better memory for the advertisement but also impairs memory for programme information that either precedes the advertisements (retroactive interference) or that follows the advertisements (proactive interference). Fifty‐four participants (48 female) aged 18 to 55 watched a programme that had an advertisement break in the centre. This consisted of 6 advertisements with either fear‐inducing or nonfear‐inducing content. Participants were tested on their recall and recognition of the advertisement information as well as their recall of the first half and second half of the programme. The results indicated that fear‐inducing advertisements were better recalled than those that elicited no fear, and there was also evidence of proactive interference from fear‐inducing advertisements on programme recall. Limitations and implications of the study are discussed.