Conceptualization of the sexual response models in men: are there differences between sexually functional and dysfunctional men?

Introduction: Research to validate models of sexual response empirically in men with and without sexual dysfunction (MSD), as currently defined, is limited.Aim: To explore the extent to which the traditional linear or the Basson circular model best represents male sexual response for men with MSD and sexually functional men.Methods: In total, 573 men completed an online questionnaire to assess sexual function and aspects of the models of sexual response. In total, 42.2% of men (242) were sexually functional, and 57.8% (331) had at least one MSD. Models were built and tested using bootstrapping and structural equation modeling.Main Outcome Measures: Fit of models for men with and without MSD.Results: The linear model and the initial circular model were a poor fit for men with and without MSD. A modified version of the circular model demonstrated adequate fit for the two groups and showed important interactions between psychological factors and sexual response for men with and without MSD.Conclusion: Male sexual response was not represented by the linear model for men with or without MSD, excluding possible healthy responsive desire. The circular model provided a better fit for the two groups of men but demonstrated that the relations between psychological factors and phases of sexual response were different for men with and without MSD as currently defined.

'Are you sure you're going to have another one of those?': a qualitative analysis of the social control and social support models in type 2 diabetes

While there is evidence that spouses can impact the self-management of adults with type 2 diabetes mellitus, less is known about the influence of the wider social network. This qualitative study explored the perceived impact of the family as well as friends and work colleagues on type 2 diabetes mellitus self-management. A total of 25 adults with type 2 diabetes mellitus participated in semi-structured interviews regarding their social experiences of living with diabetes. Deductive thematic analysis was applied to the data. Pre-existing themes of health-related social control and social support were identified in the wider social network, with additional themes of non-involvement and unintentional undermining also emerging.

Guidelines for developing and reporting machine learning predictive models in biomedical research : a multidisciplinary view

BACKGROUND: As more and more researchers are turning to big data for new opportunities of biomedical discoveries, machine learning models, as the backbone of big data analysis, are mentioned more often in biomedical journals. However, owing to the inherent complexity of machine learning methods, they are prone to misuse. Because of the flexibility in specifying machine learning models, the results are often insufficiently reported in research articles, hindering reliable assessment of model validity and consistent interpretation of model outputs.

OBJECTIVE: To attain a set of guidelines on the use of machine learning predictive models within clinical settings to make sure the models are correctly applied and sufficiently reported so that true discoveries can be distinguished from random coincidence.

METHODS: A multidisciplinary panel of machine learning experts, clinicians, and traditional statisticians were interviewed, using an iterative process in accordance with the Delphi method.

RESULTS: The process produced a set of guidelines that consists of (1) a list of reporting items to be included in a research article and (2) a set of practical sequential steps for developing predictive models.

CONCLUSIONS: A set of guidelines was generated to enable correct application of machine learning models and consistent reporting of model specifications and results in biomedical research. We believe that such guidelines will accelerate the adoption of big data analysis, particularly with machine learning methods, in the biomedical research community.

The effects of clustered data on standard error estimates in covariance structure analysis : a field data application

Purpose – The purpose of this article is to present an empirical analysis of complex sample data with regard to the biasing effect of non-independence of observations on standard error parameter estimates. Using field data structured in the form of repeated measurements it is to be shown, in a two-factor confirmatory factor analysis model, how the bias in SE can be derived when the non-independence is ignored.

Design/methodology/approach – Three estimation procedures are compared: normal asymptotic theory (maximum likelihood); non-parametric standard error estimation (naïve bootstrap); and sandwich (robust covariance matrix) estimation (pseudo-maximum likelihood).

Findings – The study reveals that, when using either normal asymptotic theory or non-parametric standard error estimation, the SE bias produced by the non-independence of observations can be noteworthy.

Research limitations/implications – Considering the methodological constraints in employing field data, the three analyses examined must be interpreted independently and as a result taxonomic generalisations are limited. However, the study still provides “case study” evidence suggesting the existence of the relationship between non-independence of observations and standard error bias estimates.

Originality/value – Given the increasing popularity of structural equation models in the social sciences and in particular in the marketing discipline, the paper provides a theoretical and practical insight into how to treat repeated measures and clustered data in general, adding to previous methodological research. Some conclusions and suggestions for researchers who make use of partial least squares modelling are also drawn.

Brand value in the context of Australian Football League clubs

This conceptual paper focuses on brand value for non-traditional products, and particularly, brand value in relation to Australian Football League Clubs, and its measurement. The concept of brand value has been addressed by a plethora of definitions and models in the literature, many of which focus on the measurement of brand value within traditional product industries. These models are often contingent on the intrinsic utility of the product itself, yet within non-traditional product areas, the product and the brand may be two distinct entities which should be differentiated in order to facilitate an accurate measurement of consumer-based brand value. To date, there has been limited research in this area and the general aim of this paper is to reveal the gaps in the current literature by providing an extension of traditional brand valuation theory to a non-traditional field. This paper illustrates its points with reference to a relevant model associated with “traditional” brand theories, and shows how it can be applied to the area of Australian Football League Clubs. This paper argues for the configuration of a more holistic model of brand value, including the antecedents and consequences of the value ascribed to brands by consumers, in order to encourage future research in brand equity based on the total utility derived from Australian Football League Clubs’ brands.

Probabilistic models over ordered partitions with applications in document ranking and collaborative filtering

Ranking is an important task for handling a large amount of content. Ideally, training data for supervised ranking would include a complete rank of documents (or other objects such as images or videos) for a particular query. However, this is only possible for small sets of documents. In practice, one often resorts to document rating, in that a subset of documents is assigned with a small number indicating the degree of relevance. This poses a general problem of modelling and learning rank data with ties. In this paper, we propose a probabilistic generative model, that models the process as permutations over partitions. This results in super-exponential combinatorial state space with unknown numbers of partitions and unknown ordering among them. We approach the problem from the discrete choice theory, where subsets are chosen in a stagewise manner, reducing the state space per each stage significantly. Further, we show that with suitable parameterisation, we can still learn the models in linear time. We evaluate the proposed models on two application areas: (i) document ranking with the data from the recently held Yahoo! challenge, and (ii) collaborative filtering with movie data. The results demonstrate that the models are competitive against well-known rivals.

Using online video-recorded interviews to connect the theory and practice of inclusive education in a course for student teachers

This article reports on a study into university preservice teachers’ perceptions of online video-recorded interviews as an alternative to the traditional lecture format in a course on inclusive education. With the aim of assisting preservice teachers to link theory and practice, the series of video-recorded interviews focused on key concepts around educating students with diverse needs and abilities. The interviews were conducted between the course coordinator and a number of professionals with relevant field experience in special education and inclusion, and were then made available to preservice teachers online. Survey data indicated that this type of delivery model was perceived as effective in promoting engagement and learning, and in facilitating an understanding of the connection between theory and practice. Implications for teacher education are discussed.

Ethical challenges associated with providing continence care in residential aged care facilities : findings from a grounded theory study

A person-centred approach to care in residential aged care facilities should uphold residents’ rights to independence, choice, decision-making, participation, and control over their lifestyle. Little is known about how nurses and personal care assistants working in these facilities uphold these ideals when assisting residents maintain continence and manage incontinence. The overall aim of the study was to develop a grounded theory to describe and explain how Australian residents of aged care facilities have their continence care needs determined, delivered and communicated. This paper presents and discusses a subset of the findings about the ethical challenges nurses and personal care assistants encountered whilst providing continence care. Grounded theory methodology was used for in-depth interviews with 18 nurses and personal care assistants who had experience of providing, supervising or assessing continence care in any Australian residential aged care facility, and to analyse 88 hours of field observations in two facilities. Data generation and analysis occurred simultaneously using open coding, theoretical coding, and selective coding, until data were saturated. While addressing the day-to-day needs of residents who needed help to maintain continence and/or manage incontinence, nurses and personal care assistants struggled to enable residents to exercise choice and autonomy. The main factor that contributed to this problem was that the fact that nurses and personal care assistants had to respond to multiple, competing, and conflicting expectations about residents’ care needs. This situation was compounded by workforce constraints, inadequate information about residents’ care needs, and an unpredictable work environment. Providing continence care accentuated the ethical tensions associated with caregiving. Nurses’ and personal care assistants’ responses were mainly characterised by highly protective behaviours towards residents. Underlying structural factors that hinder high quality continence care to residents of aged care facilities should be urgently addressed.