Archival Data Research Articles

Inpatient outcomes following admission to stabilization-focused complex trauma- and dissociation-specific unit.

Individuals with histories of complex psychological trauma, such as those with dissociative disorders, are often high utilizers of inpatient services and thus warrant further research attention. The present study sought to examine whether treatment on a specialized inpatient trauma unit was associated with improvements in adaptive functioning, emotion regulation, and dissociation among patients experiencing complex posttraumatic and dissociative symptoms. This study used archival data collected as part of treatment provided to inpatients (N = 54), the majority of whom had a dissociative disorder, at a specialized trauma disorders unit to analyze differences in scores between intake and discharge on measures of adaptive functioning, emotion regulation, and dissociation. Adaptive functioning and emotion regulation were significantly improved at discharge compared to intake, t(299) = -11.28, p < .001; t(305) = 8.54, p < .001, respectively, with very large effect sizes (d = 1.60; d = 1.20), and there was a significant decrease, t(311) = 2.15, p = .032, d = .30, in dissociative absorption. Our findings suggest that inpatient treatment modeled after expert consensus treatment guidelines is associated with significant improvements in adaptive functioning and emotion regulation and reduced dissociative absorption in individuals experiencing severe and acute complex posttraumatic and dissociative symptoms. Appropriate screening and symptom-specific treatment of complex posttraumatic and dissociative symptoms are recommended to improve outcomes for this population during inpatient hospital admission. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The Predictive Value of Plasma Bioactive Lipids on Craving in Human Volunteers With Alcohol Use Disorder

BackgroundAlcohol use disorder (AUD) is a chronic relapsing disorder characterized by alcohol seeking and consumption despite negative consequences. Despite the availability of multiple treatments, patients continue to exhibit high relapse rates. Thus, biomarkers that can identify patients at risk for heightened craving are urgently needed. Mounting preclinical and clinical evidence implicates perturbations in bioactive lipid signaling in the neurobiology of craving in AUD. We hypothesize that these lipids are potential biomarkers for predicting alcohol craving in patients with AUD. MethodsThis study used archival deidentified clinical data and corresponding plasma specimens from 157 participants in 3 clinical studies of AUD. We evaluated plasma levels of 8 lipid species as predictors of craving in response to in vivo alcohol and affective cues during abstinence. ResultsParticipants were 109 men and 48 women who met DSM-5 criteria for severe AUD. We found that plasma levels of 12- and 15-HETE, 12/15-lipoxygenase–produced proinflammatory lipids, and palmitoylethanolamide, an anti-inflammatory fatty acid amide hydrolase–regulated lipid metabolite, were differentially correlated with alcohol craving during abstinence, predicting higher craving independent of demographics, alcohol use history, and multiple therapeutic treatments. ConclusionsOur findings highlight the promise of these lipid metabolites as biomarkers of heightened alcohol craving. The results open a novel opportunity for further research and clinical evaluation of these biomarkers to optimize existing treatments and develop new therapeutics for AUD.

Mandatory Reporting Laws: A Change in Reporting Behavior?

ABSTRACT Child abuse reporting policies in the form of mandatory reporting continues to expand both in scope and practice across the United States (U.S.). With this development, it is important to understand whether there is a relationship between mandatory reporting laws and reporting behavior while analyzing how any response differs across professional organizations. Mandatory reporting laws serve as a top-down policy used by legislatures to alter the reporting behavior of practitioners, especially within education, law enforcement, and the social services. The reporting behavior of these professionals are important to analyze because they account for the three largest reporting groups in the U.S. After investigating 18 years of child abuse reporting state data from the National Data Archive on Child Abuse and Neglect, I find that the reporting response to this policy differs across professional organizations. Both law enforcement and social workers reporting of suspected abuse does not change regardless of whether the reporting law is adopted. Education personnel, on the other hand, do alter their reporting behavior when a mandatory reporting law is enacted. Specifically, the decline in reporting is attenuated after the policy is put in place. These findings demonstrate the challenges associated with designing child abuse protection policies that influence multiple professional organizations.

Is Sustainability a Liability? Green Marketing and Consumer Beliefs About Eco-Friendly Products

Prior research has suggested that consumers believe sustainable products tend to underperform compared with those made using traditional methods, a phenomenon referred to as the “sustainability liability.” Despite early conceptual justification and evidence supporting this argument, recent research has not attempted to validate this effect and assess its practical relevance. By employing a variety of scenarios adapted from prior studies, the authors quantify the magnitude of the sustainability-liability effect and show that it is relatively small and unlikely to be meaningful. This research also estimates the boundary conditions to identify scenarios in which a significant sustainability-liability effect might occur. Using archival data, the authors demonstrate that the association between sustainability and inferior product performance has decreased over time, explaining the discrepancy between their findings and prior research. These findings have important public policy implications, providing decision makers with empirical evidence that designing and promoting eco-friendly products can benefit society without detracting from the perceived performance of the company's offerings.

Osmice at the crossroads: the dialectical interplay of tradition, modernity and cultural identity in family businesses

Purpose This study aims to explore the dialectical interplay between traditional roots and contemporary challenges faced by family businesses, specifically focusing on “Osmice” (in Slovenian; in Italian, “Osmize”), which are family enterprises that embody the cultural and historical heritage at the intersection of Italy and Slovenia. In particular, the purpose of this study is to understand how these businesses, deeply rooted in the communal life of the Karst region, evolve amidst changing social, economic and cultural landscapes. Design/methodology/approach Building on an alternate template analysis, the research includes the examination of archival data and 34 in-depth narrative interviews. This approach captures details about the historical establishment, persistence and evolution of Osmice, with a particular focus on their ways of facing contemporary challenges while preserving their traditional roots. Findings The findings reveal that Osmice navigate the tension between past and present through high sensitivity to the cultural identity of the land in which they are embedded. Thus, the study interprets these dynamics through a dialectical lens as the synthesis of preserving traditional roots and adapting to contemporary challenges, articulated through a particular sensitivity to cultural identity. Originality/value This investigation contributes to the discourse on how family businesses can maintain their traditional roots while adapting to contemporary challenges. It offers novel insights into the role of cultural identity in balancing tradition and modernity. Through this lens, the study underscores the capacity of family businesses such as Osmice to thrive amidst change, providing implications for both theory and practice in the field of business studies.

Investigating the nature of the 2.4 hr-period eclipsing cataclysmic variable W2 in 47 Tuc

) is a cataclysmic variable (CV) in the Galactic globular cluster 47 Tucanae. Its modulation was discovered within the CATS@BAR project. The source shows all the properties of magnetic CVs, but whether it is a polar or an intermediate polar is still a matter of debate. This paper investigates the spectral and temporal properties of the source, using all archival X-ray data from and Early Data Release, to establish whether the source falls within the category of polars or intermediate polars. We fitted archival spectra with three different models: a power law, a bremsstrahlung and an optically thin thermal plasma. We also explored the temporal properties of the source with searches for pulsations with a power spectral density analysis and a Rayleigh test ($Z_n^2$). displays a mean luminosity of $ over a 20-year span, despite lower values in a few epochs. The source is not detected in the latest observation, taken with in 2022, and we infer an X-ray luminosity $ The source spectral shape does not change over time and can be equally well fitted with each of the three models, with a best-fit photon index of 1.6 for the power law and best-fit temperatures of 10 keV for both the bremsstrahlung and the thermal plasma models. We confirm the previously detected period of 8649 s, ascribed to the binary orbital period, and found a cycle-to-cycle variability associated with this periodicity. No other significant pulsation is detected. Considering the source orbital period, luminosity, spectral characteristics, long-term evolution and strong cycle-to-cycle variability, we suggest that is a magnetic CV of the polar type.

Geminga's pulsar halo: An X-ray view

Geminga is the first pulsar around which a remarkable gamma-ray halo extending over a few degrees was discovered at TeV energies by MILAGRO and HAWC and later by H.E.S.S., and by -LAT in the GeV band. More middle-aged pulsars have exhibited gamma-ray halos, and they are now recognised as an emerging class of Galactic gamma-ray sources. The emission appears in the late evolution stage of pulsars, and is most plausibly explained by inverse Compton scattering of CMB and interstellar photons by relativistic electrons and positrons escaping from the pulsar wind nebulae. These observations pose a number of theoretical challenges, particularly the origin of the inferred, significantly lower effective diffusion coefficients around the pulsar when compared to typical Galactic values. Tackling these questions requires constraining the ambient magnetic field properties, which can be achieved through X-ray observations. If the gamma-ray halos originate from a distribution of highly energetic electrons, synchrotron losses in the ambient magnetic fields of the same particles are expected to produce a diffuse X-ray emission with a similar spatial extension. We present the most comprehensive X-ray study of the Geminga pulsar halo to date, utilising archival data from and . Our X-ray analysis covers a broad bandwidth ($0.5 79$ keV) and large field of view ($ for the first time. This was achieved by accurately measuring the background over the entire field of view, and taking into account both focused and stray-light X-ray photons from the pulsar halo with . We find no significant emission and set robust constraints on the X-ray halo flux. These are translated to stringent constraints on the ambient magnetic field strength and the diffusion coefficient by using a physical model considering particle injection, diffusion, and cooling over the pulsar’s lifetime, which is tuned by fitting multi-wavelength data. Our novel methodology for modelling and searching for synchrotron X-ray halos can be applied to other pulsar halo candidates.

Exploiting Soil and Remote Sensing Data Archives for 3D Mapping of Multiple Soil Properties at the Swiss National Scale

Soils play a central role in ecosystem functioning, and thus, mapped soil property information is indispensable to supporting sustainable land management. Digital Soil Mapping (DSM) provides a framework to spatially estimate soil properties. However, broad-scale DSM remains challenging because of non-purposively sampled soil data, large data volumes for processing extensive soil covariates, and high model complexities due to spatially varying soil–landscape relationships. This study presents a three-dimensional DSM framework for Switzerland, targeting the soil properties of clay content (Clay), organic carbon content (SOC), pH value (pH), and potential cation exchange capacity (CECpot). The DSM approach is based on machine learning and a comprehensive exploitation of soil and remote sensing data archives. Quantile Regression Forest was applied to link the soil sample data from a national soil data base with covariates derived from a LiDAR-based elevation model, from climate raster data, and from multispectral raster time series based on satellite imagery. The covariate set comprises spatially multiscale terrain attributes, climate patterns and their temporal variation, temporarily multiscale land use features, and spectral bare soil signatures. Soil data and predictions were evaluated with respect to different landcovers and depth intervals. All reference soil data sets were found to be spatially clustered towards croplands, showing an increasing sample density from lower to upper depth intervals. According to the R2 value derived from independent data, the overall model accuracy amounts to 0.69 for Clay, 0.64 for SOC, 0.76 for pH, and 0.72 for CECpot. Reduced model accuracies were found to be accompanied by soil data sets showing limited sample sizes (e.g., CECpot), uneven statistical distributions (e.g., SOC), and low spatial sample densities (e.g., woodland subsoils). Multiscale terrain covariates were highly influential for all models; climate covariates were particularly important for the Clay model; multiscale land use covariates showed enhanced importance for modeling pH; and bare soil reflectance was a major driver in the SOC and CECpot models.

Managing Brand Relationship Plurality: Insights From the Nonprofit Sector

The nonprofit sector is home to some of the most recognized and trustworthy brands, all competing for financial resources and volunteers. Akin to consumers, volunteers have relationships with nonprofit brands. These relationships have recently become more diverse as individuals increasingly look for more ephemeral and distant forms of involvement. Drawing on an extensive qualitative dataset of the Vienna Red Cross comprising participant observation, archival data, and in-depth interviews, the authors conceptualize this nonescalating, episodic engagement as a neither-growing-nor-fading (NGNF) relationship. This theorization adds to the literature on consumer–brand relationships, which has predominantly focused on the cultivation of strong relationships. Informed by practice theory, the authors elaborate distinct brand relationship practices key to successfully maintaining NGNF relationships (acquiring and activating) while catering to volunteers following the traditional path of relationship intensification (building and cultivating). The analysis identifies constellations of practice elements conducive to managing both types of brand relationships in a symbiotic manner. The authors argue for the importance of moving beyond an exclusive focus on relationship growth and embracing nonescalating relationships. This study thus contributes to nascent theorizing on brand relationships that do not follow an axiology that values growth and intensification.

Data on the Margins &amp;ndash; Data from LGBTIQ+ Populations in European Social Science Data Archives

Data gaps are a significant lack of data about marginalized groups existing due to unequal power relations (D’Ignazio and Klein, 2020). They both perpetuate and result in a dominance of male, white, hetero, and cis perspectives in how we make sense of and interact with the world. The most prominent data gap is the gender data gap notably described by Criado-Perez (2020). However, not only women, but all marginalized groups are affected by such gaps, as data about them are frequently not collected due to a disregard on behalf of those in power of the need to do so. LGBTIQ+ people, considered a ‘hidden population’ by demographers, are a case in point. The acronym is used to refer to lesbian, gay, bisexual, trans, intersex, and queer people, as well as all people with non-normative sexual or gender identities, including asexual and agender people, who do not consider themselves as falling under one of these labels. A first step towards identifying and closing data gaps is to take stock of data that already exist. In this paper we give an overview of LGBTIQ+ data in European social science archives. We researched all data archives of CESSDA ERIC, the Consortium of European Social Science Data Archives, and found 66 LGBTIQ+ datasets in 9 of the 34 member and associated archives and 1 former member archive. We discuss characteristics, coverages, and findability of the identified datasets and approach the question of potential data gaps by analyzing the keywords assigned to each dataset by the archive.

Observational clues to the magnetic evolution of magnetars

ABSTRACT Utilizing four archival X-ray data sets taken with the Hard X-ray Detector onboard Suzaku, timing studies were performed on three magnetars, 1E 1841−045 (observed in 2006), SGR 0501+4516 (2008), and 1RXS J170849.0−400910 (2009 and 2010). Their pulsations were reconfirmed, typically in an energy range of 12–50 keV. The 11.783 s pulses of 1E 1841−045 and those of SGR 0501+4516 at 5.762 s were periodically phase modulated, with a long period of $\approx 23.4$ and $\approx 16.4$ ks, respectively. The pulse-phase modulation was also observed, at $\approx 46.5$ ks, from two data sets of 1RXS J170849.0−400910. In all these cases, the modulation amplitude was 6 per cent to 16 per cent of the pulse cycle. Including previously confirmed four objects, this characteristic timing behaviour is now detected from seven magnetars in total, and interpreted as a result of free precession of neutron stars that are deformed to an asphericity of $\sim 10^{-4}$. Assuming that the deformation is due to magnetic stress, these magnetars are inferred to harbour toroidal magnetic fields of $B_{\rm t}\sim 10^{16}$ G. By comparing the estimated $B_{\rm t}$ of these objects with their poloidal dipole field $B_{\rm d}$, the $B_{\rm t}/B_{\rm d}$ ratio is found to increase with their characteristic age. Therefore, the toroidal fields of magnetars are likely to last longer than their poloidal fields. This explains the presence of some classes of neutron stars that have relatively weak $B_{\rm d}$ but are suspected to hide strong $B_{\rm t}$ inside them.

Overlap of obsessive compulsive and psychosis risk symptoms in a specialized clinic.

Psychotic disorders and obsessive-compulsive disorder (OCD) commonly co-occur. Likewise, subthreshold psychosis symptoms (clinical high risk for psychosis; CHR) and obsessive compulsive symptoms (OCS) often overlap and may be difficult to differentiate. This study aimed to replicate research investigating the prevalence of OCD in a CHR clinic sample, validate and investigate factor structure of a self-report OCS measure in a CHR sample, explore how OCS may relate to CHR and co-occurring symptoms, and investigate whether real-world CHR treatment improves OCS and CHR symptoms. This study analysed archival clinical data from baseline and 6-month follow-up assessments collected by a specialist outpatient CHR clinic. Data included assessments of CHR symptoms, OCS, and clinician-rated diagnosis. Exploratory factor analysis examined the OCS measure. Within this CHR clinic sample, 13.5% experienced co-morbid OCD. The self-report OCS measure had two factors: (1) checking and counting behaviours and (2) intrusive thoughts and images of harm/guilt. The checking and counting factor correlated with depression and social anxiety. The intrusive thoughts and images of harm/guilt factor significantly correlated with unusual thought content and social anxiety. Between baseline to 6-month follow-up, clients exhibited CHR symptom improvement regardless of OCD diagnosis. However, OCS did not change. These findings support validity of a self-report OCS measure in a CHR clinic sample and that types of OCS experiences may exhibit different clinical patterns. Additionally, it appears that individuals with comorbid OCD responded similarly to CHR treatment compared to those without OCD.

Pengembangan Sistem Informasi Penjadwalan dan Monitoring Backup Data Berbasis Web

This research aims to facilitate the admins of the Business Partner Department and IT Services at PT. Pupuk Sriwidjaja Palembang in searching for data, backing up data, and scheduling data in an organized manner. To support this convenience, the author has developed a web-based infrastructure backup data portal system, utilizing a MySQL database. This system can be used to manage network data, website data, as well as data reports or archives. The research method employed is the Waterfall method, which consists of several stages: analysis, design, implementation, testing, and maintenance. Data collection methods included interviews and observations. The result of this research is a website that enhances the performance of the admins of the Business Partner Department and IT Services at PT. Pupuk Sriwidjaja Palembang in managing company data.

Stormy sales: the influence of weather expectations on FMCG consumption

PurposeThis study aims to understand the impact of extreme weather events on fast-moving consumer goods (FMCG) consumption and to examine the role of anticipated product scarcity and FMCG types on such behavior.Design/methodology/approachThis paper conducted five studies, combining archival data analysis with behavioral experiments. The archival data included sales data from a supermarket chain and weather data from the National Weather Service. The experiments were designed to test the effect of extreme weather cues on consumption, the psychological mechanism behind this effect and moderators.FindingsThis research found that consumers’ anticipation of extreme weather events significantly increases their consumption of FMCGs. This research further discovered that these behaviors are driven by anticipated product scarcity and moderated by consumers’ altruisms and FMCG types.Research limitations/implicationsLimitations of the research include the reliance on reported sales data and self-reported measures, which could introduce biases. The authors also primarily focused on extreme weather events, leaving other types of disasters unexplored. Furthermore, cultural differences in disaster response might influence results, yet the studies do not fully address these nuances. Despite these limitations, the findings provide critical insights for FMCG retailers and policymakers, suggesting strategies for managing demand surges during disasters. Moreover, understanding consumer behavior under impending disasters could inform intervention strategies, potentially mitigating panic buying and helping ensure equitable resource distribution. Last, these findings encourage further exploration of environmental influences on consumer behavior.Practical implicationsThe findings have practical implications for products, brand managers and retailers in managing stock levels and product distribution during disasters. Furthermore, understanding the psychological mechanisms of these behaviors could inform policymakers’ designs of public interventions for equitable resource allocation during extreme weather events.Social implicationsThe research provides significant social implications by highlighting how extreme weather events impact FMCG consumption. This understanding can guide public policymakers in creating efficient disaster management plans. Specifically, anticipating surges in FMCG purchases can inform policies for maintaining price stability and preventing resource shortages, mitigating societal stress during crises. Moreover, these findings encourage public education around responsible purchasing during disasters, potentially reducing panic buying. By collaborating with FMCG manufacturers and retailers, governments can ensure a steady supply of essentials during extreme weather events. Thus, the research can play a crucial role in enhancing societal resilience in the face of impending disasters.Originality/valueTo the best of the authors’ knowledge, this is the first study to integrate the impact of extreme weather events on consumption behavior with the psychological theory of anticipated product scarcity. The unique focus on FMCGs offers a novel perspective on consumer behavior literature.

Mutual eye gaze and vocal pitch in relation to social anxiety and depression: A virtual interaction task

BackgroundIndividuals with high social interaction anxiety (SIA) and depression often behave submissively in social settings. Few studies have simultaneously examined the associations between objectively assessed submissive behaviors and SIA or depression, despite their high comorbidity and unknown mechanisms regarding submissiveness. MethodsA sample of 45 young adults self-reported trait SIA and depression, state positive/negative affect (PA/NA) before and after a virtual social interaction. Participants engaged in a four-minute conversation with a confederate who was trained to behave neutrally. Mutual eye gaze, via eye-tracking, and vocal pitch were assessed throughout the interaction. ResultsDepression and SIA were positively correlated with NA, poorer self-rated performance, and vocal pitch. Highly socially anxious women engaged in less mutual eye gaze than highly socially anxious men. Also, vocal pitch was inversely associated with mutual eye gaze and positively related to NA and (nonsignificantly) to self-ratings of poor performance. Finally, our data partially replicated past research on the use of vocal pitch during social stress to detect social anxiety disorder. LimitationsThe current sample is relatively homogenous in educational attainment, age, and race. All research confederates were women. Future research should examine whether these archival data replicate with the latest telecommunication technologies. ConclusionOur findings highlight nuanced relationships among SIA, depression, emotions, self-perceptions, and biobehavioral indicators of submissive behavior—in response to an ambiguously negative/positive social interaction. Sex/gender may interact with these effects, emphasizing considerations for research method designs.

An Introduction to the Human Connectome Project for Early Psychosis.

The time following a recent onset of psychosis is a critical period during which intervention may be maximally effective. Studying individuals in this period also offers an opportunity to investigate putative brain biomarkers of illness prior to the long-term effects of chronicity and medication. The Human Connectome Project for Early Psychosis (HCP-EP) was funded by the National Institutes of Mental Health (NIMH) as an extension of the original Human Connectome Project's approach to understanding the human brain and its structural and functional connections. The HCP-EP data were collected at 3 sites in Massachusetts (Beth Israel Deaconess Medical Center, McLean Hospital, and Massachusetts General Hospital), and one site in Indiana (Indiana University). Brigham and Women's Hospital served as the data coordination center and as an imaging site. The HCP-EP dataset includes high-quality clinical, cognitive, functional, neuroimaging, and blood specimen data acquired from 303 individuals between the ages of 16-35 years old with affective psychosis (n = 75), non-affective psychosis (n = 148), and healthy controls (n = 80). Participants with early psychosis were within 5 years of illness onset (mean duration = 1.9 years, standard deviation = 1.4 years). All data and novel or modified analytic tools developed as part of the study are publicly available to the research community through the NIMH Data Archive (NDA) or GitHub (https://github.com/pnlbwh). This paper provides an overview of the specific HCP-EP procedures, assessments, and protocols, as well as a brief characterization of the study participants to make it easier for researchers to use this rich dataset. Although we focus here on discussing and comparing affective and non-affective psychosis groups, the HCP-EP dataset also provides sufficient information for investigators to group participants differently.

Waste Cooking Oil Recycling and the Potential Use of Blockchain Technology in the UK

This study explores the recycling of Waste Cooking Oil (WCO) in the UK, analysing the recycling models and practices, and investigating the application of blockchain technology (BCT) from Z company’s Southern European project to UK’s WCO recycling. Employing a multi-method qualitative approach, including unstructured and semi-structured interviews, the research delves into the experiences of current WCO recycling methods in the UK and Z company’s project. Through thematic analysis of both primary data and archival data, the study identifies seven distinct recycling models in the UK and assesses the implementation of BCT using the Technology, Organization, and Environment (TOE) framework. The research underscores the current state of WCO recycling in the UK, highlighting the industry’s challenges and providing recommendations for future implementation. Its significance lies in addressing the academic gap in WCO recycling studies and offering insights into recycling models and BCT application, potentially guiding future commercial endeavours.

The mediating role of government ICT use on the nexus between ICT access and public sector performance

PurposeThis study aims to explore how government ICT use influences the relationship between ICT access and public sector performance globally. Previous research has mainly focused on the impact of ICT access on private firms' performance, measured by profitability. Moreover, previous studies have mostly examined the effect of ICT access on firms' performance within a single country. This study fills a gap in the literature by investigating how government ICT use mediates the connection between ICT access and public sector performance on a global scale.Design/methodology/approachThe study develops and empirically validates a conceptual model based on the Technology, Organisation-Environment framework and archival data for 131 countries, using partial least squares-structural equation modelling.FindingsThe findings from the study shows a significant relationship between ICT access and Government ICT use. Also, there was positive relationship between ICT access and Public Sector Performance. In addition, there exist a significant relationship between Government use of ICT and Public Sector Performance. Furthermore, the mediating role of government ICT use on the impact of ICT access on public sector performance was significant.Originality/valueThis study is unique in that it explores the relationship between ICT access, government ICT use and public sector performance on a global scale. By using archival sources, this research findings can easily be replicated and applied to a larger population. Additionally, using the TOE framework, this study demonstrates how technology (ICT access) and organisation (government ICT use) impact public sector performance globally.

Proposing a more conservative Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) Effort Index cutoff score for forensic inpatient populations.

The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) Effort Index (EI) may be unreliable at its standard recommended cutoff score when used with forensic psychiatric inpatient populations given high rates of genuine cognitive impairment. The present study sought to (a) examine the rate of invalid performance on the RBANS EI using the standard cutoff among incompetent to stand trial (IST) inpatients and (b) investigate the psychometric properties of the RBANS EI at various cutoff scores. This study was conducted using archival assessment data collected at a large forensic psychiatric hospital. Across the entire sample (N = 238, 79% male, Mage = 45 years, 24% primary Spanish-speaking), 79% were diagnosed with a schizophrenia spectrum disorder. Experiment 1 of the study (n = 165) contained IST patients who were classified as having a valid presentation. Experiment 2 contained a valid (n = 46) and invalid (n = 27) presentation group comprised of postadjudication and IST inpatients, respectively. In Experiment 1, over one third (36.4%) of the valid presentation sample scored above the standard recommended EI cutoff. In Experiment 2, applying the standard recommended cutoff score of > 3 was associated with a false positive rate of over 20%. Obtaining < 10% false positive errors was achieved at a cutoff score of > 5. At this cutoff score, the estimated local base rate of invalid responding among IST patients was 28%. Clinical and forensic implications and recommendations for adopting this more conservative RBANS EI cutoff score are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Base of the chain (BoC) sourcing challenges: The role of institutional voids and social agency problems

Due to various factors, including the institutional context of suppliers, the successful implementation of sustainability initiatives remains a persistent challenge for purchasing and supply management (PSM) professionals. Sourcing from the Base of the Chain (BoC) requires buyers to be cognizant of and assess challenges inherent in engaging with the Bottom of the Pyramid (BoP) institutional context. Designing governance structures that facilitate the simultaneous pursuit of economic and social goals demands a thorough understanding of these challenges and their contextual antecedents. The literature has addressed institutional voids and incompatibilities between buyer-BoC supplier institutional contexts as critical factors informing interventions aimed at overcoming sourcing challenges. Drawing upon social agency theory, our study advances these debates. We argue that the broader institutional and social context serves as the contextual antecedents to principal-agent (P-A) relationships established between buyers and their BoC suppliers. This perspective provides a more enriched explanation for the antecedents of BoC sourcing challenges. We draw on a multiple case study incorporating 31 interviews and archival data of five BoC sourcing programs within the Australian agribusiness sector. Our findings shed light on how BoC institutional voids cause BoC sourcing challenges across supplier and product domains by inducing hidden information, hidden action, and hidden logic as social agency problems. Hidden logic, a new type of social agency problem identified in our study, refers to the agents' socially constructed sets of assumptions, values, beliefs, and traditions that are invisible to the principals. Consequently, we present insights into why governance structures addressing BoC sourcing challenges may vary across institutional contexts, providing practical guidance for buyers in developed economies concerning the subsequent design and execution of effective BoC sourcing strategies.