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This paper aims to describe the way in which autism spectrum disorder (ASD) is identified, defined and diagnosed; and how changes in the conceptualisation and understanding of autism have impacted on clinical practice and research findings. Specific issues relating to the nature of Asperger syndrome and the profile of females with ASD are discussed. Finally, the apparent increase over time in the incidence of autism is considered.

The paper is a non‐systematic review of the current literature relating to the diagnosis and epidemiology of autism.

Despite its diverse presentation and complex aetiology, the autism spectrum is increasingly well understood amongst professionals and the general public. Diagnostic criteria are revised periodically and new versions of the formal definitions are due to be published soon. The prevalence of ASD appears to be in the region of 1 per cent. There is a clear perception that the true incidence of autism is on the increase and, despite several well‐conducted epidemiological studies, it remains impossible to confirm or refute this notion.

Diagnosis in clinical practice should involve some reference to the formal criteria, the use of standardised diagnostic instruments and should ideally take place within a multi‐disciplinary team setting.

This paper provides an up‐to‐date review of current diagnostic practice for all professionals working with children and adults with ASD.

This chapter extends the work of Baltagi, Bresson, Chaturvedi, and Lacroix (2018) to the popular dynamic panel data model. The authors investigate the robustness of Bayesian panel data models to possible misspecification of the prior distribution. The proposed robust Bayesian approach departs from the standard Bayesian framework in two ways. First, the authors consider the ε-contamination class of prior distributions for the model parameters as well as for the individual effects. Second, both the base elicited priors and the ε-contamination priors use Zellner’s (1986) g-priors for the variance–covariance matrices. The authors propose a general “toolbox” for a wide range of specifications which includes the dynamic panel model with random effects, with cross-correlated effects à la Chamberlain, for the Hausman–Taylor world and for dynamic panel data models with homogeneous/heterogeneous slopes and cross-sectional dependence. Using a Monte Carlo simulation study, the authors compare the finite sample properties of the proposed estimator to those of standard classical estimators. The chapter contributes to the dynamic panel data literature by proposing a general robust Bayesian framework which encompasses the conventional frequentist specifications and their associated estimation methods as special cases.

According to current estimates, the prevalence of autism spectrum disorders (ASDs) ranges from 1 in 500 children to 1 in 150 children (Centers for Disease Control and Prevention/CDC, 2007; Desmon, 2007). In the past such disorders usually were not identified until a child was school-aged, but these disorders are now more likely to be diagnosed in affected individuals during the preschool years (McConachie, Le Couteur, & Honey, 2005; Rutter, 2006). For example, Mandell, Novak, and Zubritsky (2005) surveyed over 900 caregivers of children with ASDs and learned that on an average, children with autistic disorder were diagnosed at 3.1 years of age. These researchers also reported that children who exhibited such characteristics as severe language impairment, toe walking, hand flapping, and sustained unusual play behaviors were diagnosed earlier than children without these features.

The Adult Asperger Assessment (AAA) was designed to be a screening tool to identify adults with Asperger syndrome and/or high-functioning autism. The AAA includes three questionnaires; the Autism Quotient (AQ), the Empathy Quotient (EQ) and the Relatives Questionnaire (RQ). The Autism Quotient-10 (AQ-10) was designed to be a “red flag” for healthcare professionals considering referral for ASD assessment. The purpose of this paper is to determine the usefulness of the AAA and AQ-10 as part of an adult autism diagnostic pathway that includes patients of all intellectual ability.

Results were obtained for all patients who had received a clinical decision at Leeds Autism Diagnostic Service, which is a service that assesses patients of all intellectual ability, during 2015, n=214. Of these 132 were included in the analysis, 77 patients were excluded for not completing the AAA and four were excluded for not receiving a clinical decision.

Results suggest that patients diagnosed with ASD without intellectual disabilities score on average 35 on the AQ, 17 on the EQ and 20 on the RQ. Those not diagnosed with ASD score on average 33 on the AQ, 22 on the EQ and 15 on the RQ. Patients with intellectual disabilities, scores are lower on the AQ, and higher on the EQ and RQ than those without intellectual disabilities. These results are the same regardless of diagnosis of ASD. The RQ is the only questionnaire to result in a significant difference between those diagnosed and not diagnosed. Results suggest that the AQ-10 is not useful in this clinical population.

This study was undertaken as part of a service development improvement process. The specific demographics of this clinical population may have influenced the findings. The process will need to be repeated to ensure that the results are consistent across time and increased sample size. The population of patients with an intellectual disability is small, further studies into the use of the AAA or the design of other intellectual disability specific screening tools should be pursued. It is of note that the AAA was never intended for use within an intellectual disability population.

This is an original paper as it will be the first to consider the usefulness of each of the aspects of the AAA collectively. It will be the first to assess: the AQ-10 alongside the AAA, the usefulness of the AAA regardless of intellectual ability and the usefulness of the AAA within a clinical population by using the diagnostic outcome as the benchmark of the usefulness of the AAA scores. This paper will only be discussing the scores generated by the AAA, and the correlation of these scores with a diagnosis.

Corruption is a major social problem, and scholars have devoted considerable attention to this phenomenon. However, less attention has been paid to how corruption spreads among organizations and what factors can make its spread more likely. This study aims to fill the gap by modelling corruption as an interorganizational contagion.

The authors used social contagion theory to model corruption as an interorganizational contagion, influenced by the susceptibility of organizations and the strength of contagion sources. The study analysed 736 medium and large Italian municipalities over a five-year period, with 3,146 observations (excluding missing data). The authors conducted a longitudinal analysis using panel logistic regression techniques and performed robustness and endogeneity checks through a dynamic panel data model.

The authors found that municipalities with a higher percentage of corrupt neighbouring municipalities were more likely to experience corruption. The probability of experiencing corruption was also significantly higher for municipalities with weaker organizational resistance to corruption contagion.

Previous studies have not clearly explained the organizational mechanisms behind the spread of corruption at the interorganizational level. The study suggests that corruption contagion at the municipal level occurs via reduced uncertainty in decision-makers and is influenced by the prevalence of corruption locally. The spread can be driven by conscious or unconscious mechanisms. This study challenges the idea that corruption contagion is immediate and inevitable. Organizational resistance to corruption can affect the risk of contagion, highlighting the importance of anti-corruption controls and ethical systems in preventing it.

Diagnosing autism spectrum disorder (ASD) is important over the whole life span. Standardized instruments may support the assessment process. The purpose of this paper is to describe English- and German-screening tools for ASD.

PubMed was used to search for published tools and evidence on their diagnostic validity.

Searches identified 46 screening tools for ASD. Most are designed for children, while only few measures are available for adults, especially those with additional intellectual disabilities. Many instruments are under-researched, although a small number such as the Modified Checklist for Autism in Toddlers and the SCQ have been widely examined in a variety of populations.

The study identified and described a number of ASD screeners that can support clinicians or researchers when deciding whether to carry out a more comprehensive ASD assessment.

This paper aims to investigate the potential impact of the Basel III liquidity requirements, namely, the net stable funding ratio (NSFR) and the liquidity coverage ratio (LCR), on bank liquidity creation.

The authors developed a dynamic panel model using the Quasi-Maximum Likelihood estimation on an unbalanced panel dataset of 129 commercial banks operating in 10 Middle Eastern and North African (MENA) countries from 2009 to 2017.

The results show that the NSFR significantly negatively affects liquidity creation. Similarly, the LCR exerts a substantial negative impact on the liquidity creation of the sampled MENA banks. These findings suggest that complying with both liquidity requirements tends to curtail liquidity creation. Moreover, further regression analysis of large and small bank sub-samples uncovered results similar to the overall MENA sample.

The findings raise interesting policy implications and suggest a trade-off between the benefits of the financial resiliency induced by implementing liquidity requirements and the creation of liquidity essential for promoting economic growth in the region.

Most empirical research focuses on the relationship between bank capital and liquidity creation. To the knowledge, this paper is the first to provide empirical evidence on the effect of both the NSFR and LCR regulatory liquidity standards on bank liquidity creation in the MENA region.

The purpose of this paper is to investigate the impact of a dual medium/content context – the one offered by the online Twitter communication (medium-context) of reporting on elite sports (content-context) – on traditional conceptualizations of genderlect.

A quantitative content analysis, coding for a variety of traditional gendered language markers – was conducted on the tweets of male and female reporters who covered the men’s and women’s NCAA final four basketball tournaments.

Consistent with tenets of social role theory, the duel medium/content context of Twitter and sports produces several language patterns that frustrate attempts to categorize language markers according to traditional conceptualizations of genderlect and thus provides support for a redefinition of genderlect.

This paper’s findings suggest that people adapt their communication patterns to match the context in which they communicate. Whether adaptation takes place with conscious effort or as a natural byproduct of moving from one context to another remains to be discovered. Advice to female sports journalists on being vigilant against unwittingly undermining their credibility and perceived expertise is offered. This inquiry allows researchers to study sociology through sport.

This paper demonstrates that online environments can allow for traditional gender roles and expectations to be challenged and broken down, but some genderlect features appear tenacious and could undermine attempts to break down gender barriers.

If sport mirrors society, then the same communication adaptations that appear in the online environmental context of reporters’ tweets about sport should appear in other societal contexts.

Few studies have investigated differences in reporting by gender, and fewer have investigated differences in sports reporting by gender. Fewer, if any, have investigated differences in sports reporting by gender through Twitter.

The aim of this study is to investigate whether activity-based workspaces (ABWs) are able to solve the privacy-communication trade-off known from fixed-desk offices. In fixed-desk offices, employees work in private or open-plan offices (or in combi-offices) with fixed workstations, which support either privacy or communication, respectively. However, both dimensions are essential to effective employee performance, which creates the dilemma known as the privacy-communication trade-off. In activity-based workspaces, flexible workstations and the availability of different spaces may solve this dilemma, but clear empirical evidence on the matter is unavailable.

To address this knowledge gap, the authors surveyed knowledge workers (N = 363) at a medium-sized German company at three time points (T1–T3) over a one-year period during the company’s move from a fixed-desk combi-office (a combination of private and open-plan offices with fixed workplaces) to an ABW. Using a quantitative survey, the authors evaluated the employees’ perceived privacy and perceived communication in the old (T1) and the new work environments (T2 and T3).

The longitudinal study revealed a significant increase in employees’ perceived privacy and perceived communication in the ABW. These increases remained stable in the long term, which implies that ABWs have a lasting positive impact on employees.

As the privacy and communication dimensions were previously considered mutually exclusive in a single workplace, the results confirm that ABWs can balance privacy and communication, providing optimal conditions for enhanced employee performance.

The purpose of this paper is to provide a critical overview of some main implications of the neurodevelopmental perspective for the field of the mental health in intellectual disability and autism spectrum disorders.

A discussion surrounding the importance of integrating different approaches in the neurodevelopmental perspective, drawing on sources from the paper proposals to the 10th International Congress of the European Association in Mental Health and Intellectual Disability (EAMHID), and the literature.

At present, the neurodevelopmental perspective seems to be the most appropriate and valued conceptual framework to support multi-level, interdisciplinary approaches in understanding the aetiologies of mental health problems as well as when and how to intervene. It inherently exemplifies a dimensional approach, which can capture variations between individuals, their developmental time course, brain-behaviours associations and functional significance better than categorical approaches, and diagnostic measures.

This editorial outlines a special issue that offers a comprehensive and varied collection of papers from the contributions to the 10th International Congress of the EAMHID.