ASMOD 2018: Proceedings of the International Conference on Advances in Statistical Modelling of Ordinal Data

[English]:This volume collects the peer-reviewed contributions presented at the 2nd International Conference on “Advances in Statistical Modelling of Ordinal Data” - ASMOD 2018 - held at the Department of Political Sciences of the University of Naples Federico II (24-26 October 2018). The Conference brought together theoretical and applied statisticians to share the latest studies and developments in the field. In addition to the fundamental topic of latent structure analysis and modelling, the contributions in this volume cover a broad range of topics including measuring dissimilarity, clustering, robustness, CUB models, multivariate models, and permutation tests. The Conference featured six distinguished keynote speakers: Alan Agresti (University of Florida, USA), Brian Francis (Lancaster University, UK), Bettina Gruen (Johannes Kepler University Linz, Austria), Maria Kateri (RWTH Aachen, Germany), Elvezio Ronchetti (University of Geneva, Switzerland), Gerhard Tutz (Ludwig-Maximilians University of Munich, Germany). The volume includes 22 contributions from scholars that were accepted as full papers for inclusion in this edited volume after a blind review process of two anonymous referees./ [Italiano]: Il volume raccoglie i contributi presentati alla seconda Conferenza Internazionale “Advances in Statistical Modelling of Ordinal Data” - ASMOD 2018 – che si è svolta presso il Dipartimento di Scienze Politiche, Università di Napoli Federico II, nei giorni 24-26 ottobre 2018. La Conferenza ha visto la presentazione di studi sia teorici che applicati al fine di condividere i più recenti sviluppi scientifici nel campo. Oltre al tema fondamentale dell'analisi delle strutture latenti e dei modelli, i contributi richiamano una vasta gamma di argomenti, tra cui misure di dissimilarità, metodi di clustering, analisi di robustezza, modelli CUB, modelli multivariati e test di permutazione. In particolare, questa pubblicazione contiene le relazioni invitate di studiosi riconosciuti a livello internazionale: Alan Agresti (Università della Florida, USA), Brian Francis (Università Lancaster, Regno Unito), Bettina Gruen (Johannes Kepler University Linz, Austria), Maria Kateri (RWTH Aachen, Germania), Elvezio Ronchetti (Università di Ginevra, Svizzera), Gerhard Tutz (Università Ludwig-Maximilians di Monaco, Germania). Il volume include, inoltre, 22 contributi di studiosi che sono stati accettati dopo un processo di revisione anonima

Latent class approaches for modelling multiple ordinal items

The modelling of the latent class structure of multiple Likert items is reviewd. The standard latent class approach is to model the absolute Likert ratings. Commonly, an ordinal latent class model is used where the logits of the profile probabilities for each item have an adjacent category formulation (DeSantis et al., 2008). an alternative developed in this paper is to model the relative orderings, using a mixture model of the relative differences between pairs of Likert items. This produces a paired comparison adjacent category log-linear model (Dittrich et al., 2007; Francis and Dittrich, 2017), with item estimates placed on a (0,1) “worth” scale for each latent class. The two approaches are compared using data on environmental risk from the International Social Survey Programme, and conclusions are presented

Ecological Kinds and the Units of Conservation

Conservation has often been conducted with the implicit internalization of Aldo Leopold’s claim: “A thing is right when it tends to preserve the integrity, stability and beauty of the biotic community.” This position has been found to be problematic as ecological science has not vindicated the ecological community as an entity which can be stable or coherent. Ecological communities do not form natural kinds, and this has forced ecological scientists to explain ecology in a different manner. Individualist approaches to ecological systems have gained prominence. Individualists claim that ecological systems are better explained at the population level rather than as whole communities. My thesis looks at the implications of the current state of ecological science on conservation biology and emphasizes the importance of biodiversity as assessed at the population level. I defend the position that biodiversity should represent taxonomy and be quantified in reference to phylogenetic structure. This is a defence of biodiversity realism, which conceives of biodiversity as a natural quantity in the world which is measurable, valuable to prudent agents, and causally salient to ecological systems. To address how biodiversity at the population level relates to larger ecological systems I create a methodology designed to identify the relevant ecological system which biodiversity maintains and is maintained by biodiversity. This is done through the context dependent modelling of causal networks indexed to populations. My causal modelling methodology is then utilized to explicate ecological functions. These chapters together provide a framework for conservation science, which can then be applied to novel problems. The final section of the thesis utilises this framework to address whether de-extinction is a worthwhile conservation technique

An Empirical Aesthetics of the Sublime and Beautiful

The sublime and the beautiful are two of the oldest, most discussed categories of aesthetic experience. In their most basic of descriptions, the sublime refers to an aesthetic experience of fear and delight, and the beautiful refers to an aesthetic experie nce of pure pleasure. explores them empirically, theoretically informed by Edmund Burke’s This thesis A Philosophical Enquiry into the Origin of Our Ideas of the Sublime and Beautiful (1) What are the physical characteri of 1759. Three questions are asked: stics of objects considered sublime, particularly size, height, colour, brightness, and contrast in photographs, and modality, style, and tempo in piano music? (2) What are the emotional characteristics of sublime experiences, especially in relation to fea r? 1 5 and (3) What is the relationship between judgements of the sublime and beautiful in various contexts? In separate studies involving 76 8 participants, sublimity and beauty are related but separate experiences with distinct visual and auditory mechani sms. For images, although subjective sublimity and beauty ratings of images often show moderate correlations, sublimity is more influenced by presentation size than is beauty, while beauty is relatively more sensitive towards the presence of colour, and su blimity and beauty are both increased by higher presentation of images. Although subjective sublimity often correlates with subjective fear finding replicated in various studies and tasks correlates of fear meathere is no evidence that physiological sured by skin conductance responses (SCR) and faciala electromyography (fEMG) are activated at the same time as subjective sublimity. Together , these findings show that the associations of sublimity with size, height, and fear which are found in various cultures and languages, and especially in Burke’s text, of large number of stimuli and partici are realistic. Methodologically , pants makes the findings generali s the studies’ s use able, which is often not always the case in the literature of empirical aesthetics. In conclusion, sublimity is an important and separate component of aesthetic experience, beyond the mere study of beauty alone, which meri ts further study in aesthetic science

Neurological and Mental Disorders

Mental disorders can result from disruption of neuronal circuitry, damage to the neuronal and non-neuronal cells, altered circuitry in the different regions of the brain and any changes in the permeability of the blood brain barrier. Early identification of these impairments through investigative means could help to improve the outcome for many brain and behaviour disease states.The chapters in this book describe how these abnormalities can lead to neurological and mental diseases such as ADHD (Attention Deficit Hyperactivity Disorder), anxiety disorders, Alzheimer’s disease and personality and eating disorders. Psycho-social traumas, especially during childhood, increase the incidence of amnesia and transient global amnesia, leading to the temporary inability to create new memories.Early detection of these disorders could benefit many complex diseases such as schizophrenia and depression

Modeling Narrative Discourse

This thesis describes new approaches to the formal modeling of narrative discourse. Although narratives of all kinds are ubiquitous in daily life, contemporary text processing techniques typically do not leverage the aspects that separate narrative from expository discourse. We describe two approaches to the problem. The first approach considers the conversational networks to be found in literary fiction as a key aspect of discourse coherence; by isolating and analyzing these networks, we are able to comment on longstanding literary theories. The second approach proposes a new set of discourse relations that are specific to narrative. By focusing on certain key aspects, such as agentive characters, goals, plans, beliefs, and time, these relations represent a theory-of-mind interpretation of a text. We show that these discourse relations are expressive, formal, robust, and through the use of a software system, amenable to corpus collection projects through the use of trained annotators. We have procured and released a collection of over 100 encodings, covering a set of fables as well as longer texts including literary fiction and epic poetry. We are able to inferentially find similarities and analogies between encoded stories based on the proposed relations, and an evaluation of this technique shows that human raters prefer such a measure of similarity to a more traditional one based on the semantic distances between story propositions

Beyond Quantity: Research with Subsymbolic AI

How do artificial neural networks and other forms of artificial intelligence interfere with methods and practices in the sciences? Which interdisciplinary epistemological challenges arise when we think about the use of AI beyond its dependency on big data? Not only the natural sciences, but also the social sciences and the humanities seem to be increasingly affected by current approaches of subsymbolic AI, which master problems of quality (fuzziness, uncertainty) in a hitherto unknown way. But what are the conditions, implications, and effects of these (potential) epistemic transformations and how must research on AI be configured to address them adequately

A decision support system for evaluating local authority housing maintenance strategies in the United Kingdom

Purpose The lack of smart resources management and servicescape strategies within the social housing sector in the late 1970s influenced the rise of successive Governments to consider the restructuring of the traditional ‘cumbersome’ Local Authority based structures and approaches toward more ‘enterprise focussed’ management organisations (Sharp & Jones 2012). This change in central Government policy encouraged Local Authorities to assign through outsourcing their housing stock (including associated asset management services) as part of a Large Scale Voluntary Transfer (LSVT) via a process of compulsory competitive tendering to Housing Associations and / or set up Housing Trusts to increase the accountability, efficiency, and effectiveness of social housing and healthcare provision in the local community. As part of this modernisation process, all social housing and community care providers (also known as ‘Registered Social Landlords’ - RSLs) became subject to statutory audits, inspections and regulation, and performance management, to ensure the service quality delivery requirements. More recently, however, changes in the legislative framework have introduced choice-based letting policy, putting the customer first, service delivery and additionally RSLs are required to act as ‘Corporate Social Landlords’. These changes have focused RSLs attention on the need to sharpen service responsiveness, especially in the area of housing maintenance management (DETR 2000). Previous research (Holmes 1985; Spedding 1990; Johnston 1993; Stewart & Stoker 1995; Olubodun 1996, 2000, 2001; Sagoo et al. 1996; El-Haram & Horner 2002; Kangwa & Olubodun 2003, 2005; Boussabaine & Kirkham 2004; Jones & Cooper 2007; Prowle 2009; Babangida et al. 2012) has mainly concentrated on analysing maintenance management factors at the micro level; developing maintenance models and framework design for operational level. However, in the social housing sector, there have been no studies undertaken to date that have been focused on housing maintenance strategies – for example, how this is formulated, the key drivers of change and the impact on customer orientated service delivery. The purpose of this study is to identify the critical factors that drive the decision-making process in order to formulate responsive housing maintenance strategies and to develop a decision support model to improve customer service delivery of social housing provision. Research methodology Through a process of qualitative case study, pilot questionnaire surveys, workshops and qualitative in-depth interviews, the research has identified how the housing maintenance strategies are formulated and how social housing providers could enhance customer service delivery. The study comprised four phases in order to reflect the key objectives of the research. The first phase comprised a review of literature on social housing provision in the UK, identifying relevant changes in the legislative framework, an assessment of the challenges faced by RSLs and the key factors influencing performance of social housing provision. This phase also included undertaking a case study based on five different RSLs to examine the ‘real problems’ as to how and to what extent RSLs have adopted their organisation in order to meet the changes and challenges which they now face. The second phase investigated the key service factors impacting on housing maintenance strategy design and development through the use of a pilot study questionnaire directed to the asset managers (participating in the survey) and also included a selection of end users of the services (tenants). This phase identified the differences between the perceptions of service providers and the expectations of the service users. A key feature of this phase entailed conducting a workshop to disseminate findings of the pilot study. The workshop also formed a basis for ‘in-depth’ discussions for identifying the key factors, their descriptions, their interactions with each other, their inter-relationships with the tenant type, and their combined impact on formulating responsive housing maintenance strategy. The third phase of the study entailed eliciting qualitative data from the participants using the Repertory Grid (RG) ‘in-depth’ interview technique - a psychology tool in order to gain a deeper understanding of the core important ‘constructs’ and sub-constructs, their characteristics, their inter-relationships in the design and development of effective housing asset maintenance strategies. The fourth phase of this study entailed the development of a decision support system and the qualitative validation of the relationships found to exist between the constructs examined in phase three together with the testing of the model over a period of two months with four of the participating social housing providers. Findings The key findings arising from this research suggest that the design and development of value for money maintenance strategies within the public housing sector, are not solely based on physical factors related to the age, condition, location, construction type for example, but rather it was found that the majority of the asset management decisions made, were dependent upon a multivariate of key factors. The study identified 52 key factors, which when grouped together formed seven key cluster (Customer risk factors, Asset manager risk factors, Tenancy risk factors, Neighbourhood and community sustainability risk factors, Financial and economic risk factors, continuous service improvement risk factors and corporate risk factors) which are both ‘unique’ and ‘novel’ and are identified as having a direct influence on the formulation of housing maintenance strategy. These factors should not be considered in isolation and are more akin to the business success factors. The business ‘Balanced Scorecard’ (BSC) was evaluated and used as the basis for a ‘best fit’ model which was tested against four RSL to confirm its validity and its appropriateness. The responses obtained from these trials has indicated that the BSC provides a working tool capable of enhancing RSL organisational capabilities and service delivery effectiveness but also able to incorporate customer views regarding service delivery. This research makes major contributions to the existing limited pool of knowledge relating to strategic asset management within social housing sector and in addition, provides an insight into how housing maintenance strategy can be developed to incorporate feedback from customers (tenants) regarding the quality and responsive service delivery. The research also demonstrates the potential value of the BSC approach to the management tool capable of generating a competitive edge in line with government policy which is currently directed towards encouraging RSLs to adopt a commercial business approach to their operations. The research also demonstrates that the adoption of a decision support system in the form of BSC has the potential to provide useful assistance to RSLs intending to move away from the traditional public sector approaches to management (a more private sector orientated) approach to their operations. The research also shows that asset managers experience little difficulty in understanding the principles behind the BSC approach and its application. In addition, the cascading effect of BSC in housing maintenance strategy means that the strategy can be converted into measurable actions at the operational levels thereby providing a direct link between strategy and its implementation. Due to the absence of suitable benchmarking data, score rating derived from the RG were adopted by asset managers. This approach was found to be highly sensitive in assessing service delivery constructs. Furthermore, the research revealed that the individual constructs (52 key factors) had a profound influence in relation to the strategy formation and the assessment of customer service delivery. The study found that RSLs need to develop a deeper understanding and awareness of their customers concerns in that these factors may have a major impact in the development of a responsive housing maintenance strategy and overall improvements on RSLs performance. A close link was found between customer profile, their financial standing and their service expectations, patterns of behaviour and their interaction with their RSLs. High performance expectation was found on the part of affordable customers, presumably reflecting a higher level of social and economic dependency within this group and greater need for access to services thereby challenging RSLs to deliver higher standards of performance including housing maintenance provision. Other customer groups were noted as placing demand on their RSLs to adopt more holistic approach to formulation of housing maintenance strategy and embrace business-like approach to service delivery in order to facilitate a smooth transition from traditional public sector ethos to one closely akin to that associated with the private sector organisation. Practical implications The practical implications of this research are, that, if RSLs are to meet the demands of complying with a changed legislative framework, deliver responsive housing maintenance services to reflect the ever-changing customer expectations, and to adopt commercial approaches to the development of housing maintenance strategies, RSLs will need to re-engineer their business processes if the demands are to be satisfactorily accommodated. RSLs must also be prepared to adopt ‘smart business’ practices in the future, given that existing Key Line Of Enquiry (KLOEs) approaches now provide an inadequate tool for assessing performance in housing asset management nor are KLOEs sufficiently robust or possessing a sufficient degree of agility for modelling complex service delivery scenarios. As a result of this research, the BSC model has demonstrated its usefulness and its appropriateness to housing maintenance decision making within the current economic conditions and changed regulatory regime. The BSC model is simple in nature but nonetheless sufficiently flexible to allow factors to be added or omitted to accommodate the requirements and structures of individual RSLs. Academic implications To date, most housing asset management have concentrated on the technical and cost aspects of maintenance management aimed at the micro level and have attached little attention to the needs of strategic management or the potential significance of the customer. These earlier researches have limited application to the needs of strategy management particularly under the current conditions which social housing providers are now required to operate (Sharp & Jones 2012). This study is first of its kind to attempt to evaluate housing maintenance strategy giving considerations to end user ‘the customer’ dimension in service delivery within the social housing sector. This study has adopted a novel approach to this area of research by employing a technique frequently encountered in clinical psychology, based upon the use of a Repertory Grid – a qualitative tool for triadic elicitation of key drivers with a view to providing a robust tool for assisting housing asset managers involved in the development of housing maintenance strategy. The RG personal interviews with senior asset managers revealed hidden and latent factors, which would not have been easily identified had a quantitative questionnaire been used. The hidden constructs which were identified as a result of the applications of this technique are considered to be ‘akin’ to business success factors. Originality This study is also unique in that it has given particular considerations to the provision of housing maintenance service as perceived from the view point of the end users rather than directing itself to the constructional and technical aspects of housing asset management. Also, the research recognises the need for asset managers to become more aware of the implications of social factors and the need for these aspects to be incorporated into strategic maintenance models. A further unique aspect of this research is that it has endeavoured to obtain an insight into the cognitive processes (mind mapping and analytical mental processes) behind the decision making of asset management, in order to identify and understand the nature of the drivers behind these processes to develop a rational decision support model for assisting in the rational formulating of housing maintenance strategy. KEYWORDS Social Housing, Registered Social Landlords, Social Housing Providers, Customer Service Delivery, Asset Managers, Customer, Tenants, Repertory Gri