CORTIJO DE SEVI AS LIEU DE MÉMOIRE: THE PAST,PRESENT, AND FUTURE OF SABBATAI SEVI'S HOUSE

Recently the international media and academia have paid significant attention to the remains of a three-storey structure in Izmir, Turkey. The cause of all this interest is that the derelict building, located in the city's former Jewish quarter in the Kemeralt? neighbourhood, was thought by many to be the birthplace of Sabbatai Sevi (1626–1676). This building has been one of the central “memory” sites for the “open secret” Donme beliefs and practices. The discussion has, by and large, revolved around three major questions: (a) whether or not the house was indeed Sevi's family residence; (b) whether or not the site has served as an actual place of residence or pilgrimage in the intervening centuries; and (c) assuming that the building is indeed proven to have belonged to Sevi, how should it be understood and valued? This article claims that the building was indeed one of the houses in which Sabbatai Sevi lived, and that it has been subsequently used by his followers and sympathizers, who transformed it into a lieu de mémoire, a site of memory, as Pierre Nora would put it.     

Therapeutic factors in interactional inpatient groups: Results from a Turkish sample

Therapeutic factors in an inpatient group from Turkey are presented. A total of 40 patients were seen over a period of 2 years and each patient was given Yalom's (1983) 60-item therapeutic factor list on discharge. The first four most valued therapeutic factor groups were Catharsis, Existential Factors, Cohesiveness and Hope. There were significant differences in the highly valued factors in different diagnostic groups. Patients with diagnoses of anxiety/somatization and borderline/identity problem preferred factors resembling those in many out-patient studies. The results are discussed in the light of relevant literature.     

Cognitive and functional deterioration in patients with severe COPD

The objective of this study was to examine the association among the duration of COPD, degree of hypoxemia, and neurological abnormalities including cognitive functioning. Fifty-four patients with severe COPD and 24 age- and sex-matched controls, were included in the study. All patients and controls were administered pulmonary function tests, standardized Mini-mental State Examination (MMSE), Blessed Dementia Scale (BDS), Physical Self-maintenance Scale (PSMS), Modified Activities of Daily Living scale (MADL), Instrumental Activities of Daily Living scale (IADL), Cornell Scale for Depression in Dementia (CSDD), Global Deterioration Scale (GDS) and Clinical Dementia Rating (CDR). In addition, detailed physical and neurological examinations were performed. Sixty-four percent of patients with COPD showed abnormalities in MMSE, predominantly in recent memory, construction, attention, language, and orientation domains. Functional abnormalities were correlated with cognitive abnormalities. Although COPD patients did not show significant depression compared to controls, 77.7%. of the patients showed subjective and objective cognitive disturbance and 72.2% of the patients were classified as questionable or mild dementia. In conclusion, patients with COPD show significant cognitive and functional impairments that cannot be explained just by coincidence or by depression.     

Relationship of posttraumatic growth to symptoms of posttraumatic stress disorder and depression: A pilot study of Iraqi students

Posttraumatic growth (PTG) and psychopathology are common outcomes following exposure to adversity and trauma. We examined the relationship of PTG to posttraumatic stress disorder (PTSD) and depression in a group of young Iraqi students with war trauma exposure. These young Iraqis had experienced an average of 13 different war‐related adversities. The prevalence of probable PTSD was 17.2% and probable depression 23.1%. PTSD was associated with higher and depression with lower PTG. In addition, the relationship between PTG and PTSD was stronger among males than females. Although PTSD and depression were relatively common, they were related to PTG in opposite directions.     

Evaluating the Sampling Performance of Exploratory and Cross-Validated DETECT Procedure with Imperfect Models

Among the methods proposed for identifying the number of latent traits in multidimensional IRT models, DETECT has attracted the attention of both methodologists and applied researchers as a nonparametric counterpart to other procedures. The current study investigated the overall performance of the DETECT procedure and its outcomes using a real-data sampling design recommended by MacCallum (2003 MacCallum, R.C. (2003). Working with imperfect models. Multivariate Behavioral Research, 38 (1), 113–139. http://dx.doi.org/10.1207/S15327906MBR3801_5[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) and compared the results from a purely simulated data set that was generated with a well-specified “perfect” model. The comparison revealed that the sampling behavior of the maximized DETECT value and R-ratio statistics was quite robust to minor factors and other model misspecifications that potentially exist in the real data set, as there were negligible differences between the results of the real and simulated data sets. Item classification accuracy was also nearly identical for the real and simulated data sets. The accuracy of the identified number of dimensions reported by DETECT was the only outcome with an obvious difference between the purely simulated data set and the real data set. While the difference was small for smaller sample sizes, the identified number of dimensions was more accurate for larger sample sizes when the population data set was purely simulated. In many instances, exploratory DETECT analysis outperformed the cross-validated DETECT analysis in terms of overall accuracy.     

A comparison of two estimation algorithms for Samejima’s continuous IRT model

This study compares two algorithms, as implemented in two different computer softwares, that have appeared in the literature for estimating item parameters of Samejima’s continuous response model (CRM) in a simulation environment. In addition to the simulation study, a real-data illustration is provided, and CRM is used as a potential psychometric tool for analyzing measurement outcomes in the context of curriculum-based measurement (CBM) in the field of education. The results indicate that a simplified expectation-maximization (EM) algorithm is as effective and efficient as the traditional EM algorithm for estimating the CRM item parameters. The results also show promise for using this psychometric model to analyze CBM outcomes, although more research is needed in order to recommend CRM as a standard practice in the CBM context.     

Psychological Correlates of Populist Attitudes

Studies of demand-side populism with a focus on attitudinal and behavioral factors are becoming more popular, but only a few have explored the phenomenon's psychological determinants. We tackle the lack of conversation between populism scholars and political psychologists and test the impact of conspiracy beliefs, moral disengagement, need for cognition, and belief in simple solutions on populist attitudes. We use the most widespread ideational definition in an attempt to bring clarity to demand-side populism, as the literature often conflates the concept of populism with adjacent ideological and psychological factors. We analyze representative samples from two very different countries (Italy and Turkey) to test our hypotheses. We use two of the most often-used measures of populist attitudes and also explore populism's individual building blocks: people-centrism, antielitism, and a Manichean worldview. We consistently find conspiracy beliefs (and our control variable of institutional trust) as primary sources of populist attitudes, whereas the impact of the other psychological factors is more dependent on context and operationalization. Our article calls for more conceptual clarity, careful theorization, and more work on the refinement of available survey measures. We also highlight the importance of national contexts and the dangers of generalization based on individual country studies.     

The Role of Anger in the Biased Assimilation of Political Information

Political psychologists have established that politically motivated reasoning is a common phenomenon; however, the field knows comparatively less about the psychological mechanisms that drive it. Drawing on advances in the understanding of the relevance of emotion to political reasoning and behavior, we argue that anger likely plays a major role in motivating individuals to engage in the biased assimilation of political information—an evaluative bias in favor of information that bolsters one's views and against information that undercuts them. We test this proposition with two online studies, the second of which includes a quasi‐representative sample of Americans. The studies support our expectations. Individuals felt more negative emotions toward arguments that undermined their attitudes and positive emotions toward arguments that confirmed them; however, anger was nearly alone in fueling biased reactions to issue arguments.     

A Finite Mixture of Nonlinear Random Coefficient Models for Continuous Repeated Measures Data

Nonlinear random coefficient models (NRCMs) for continuous longitudinal data are often used for examining individual behaviors that display nonlinear patterns of development (or growth) over time in measured variables. As an extension of this model, this study considers the finite mixture of NRCMs that combine features of NRCMs with the idea of finite mixture (or latent class) models. The efficacy of this model is that it allows the integration of intrinsically nonlinear functions where the data come from a mixture of two or more unobserved subpopulations, thus allowing the simultaneous investigation of intra-individual (within-person) variability, inter-individual (between-person) variability, and subpopulation heterogeneity. Effectiveness of this model to work under real data analytic conditions was examined by executing a Monte Carlo simulation study. The simulation study was carried out using an R routine specifically developed for the purpose of this study. The R routine used maximum likelihood with the expectation–maximization algorithm. The design of the study mimicked the output obtained from running a two-class mixture model on task completion data.     

Mentoring in-service chemistry teachers: acquirements as mentees

The aim of this study is to identify a group of chemistry teachers’ (mentees) acquirements of mentoring program by analyzing their reflective journals. Four mentees participated in this study and they met with their mentors once a week for eight consecutive weeks. The mentees devised lesson plans as well as activities during the mentoring sessions. After each mentoring session, the mentees were asked to reflect the process and their gains to their journals. The journals were analyzed in two stages; content analysis of the journals and the analysis of the mentees level of reflections. The analysis of the mentees’ journals showed that the mentorship program supported the mentees to improve their pedagogical content knowledge; allow them to utilize various methods, techniques, and materials in their lessons. Besides, the mentees indicated that they performed chemistry courses more effectively with the help of the acquirements from the mentoring sessions. The result of this study showed also that mentors can play key roles in supporting professional developments of teachers. It is suggested that rehearsing lesson plans before going into the classroom would make the mentoring sessions more beneficial.