Tracing the Development of Athletes Using Retrospective Interview Methods: A Proposed Interview and Validation Procedure for Reported Information

A new interview procedure is proposed for collecting valid information on the acquisition of high-level performance in sport. The procedure elicits verifiable information on the development of athletes' achievements in their primary sport, as well as factors that might influence performance, including involvement in other sporting activities, injuries, physical growth and quality of training resources. Interviewed athletes also describe their engagement in specific training and other relevant activities during each year of their development as well as how they experienced each type of activity. The collected information is then examined to identify those aspects of the athletes' recall of their development that meet criteria of reliability and validity. Recommendations to coaches and scientists are discussed for how retrospective interviews can uncover aspects of development that distinguish elite from less accomplished athletes.

Using secondary knowledge to support decision tree classification of retrospective clinical data

Retrospective clinical data presents many challenges for data mining and machine learning. The transcription of patient records from paper charts and subsequent manipulation of data often results in high volumes of noise as well as a loss of other important information. In addition, such datasets often fail to represent expert medical knowledge and reasoning in any explicit manner. In this research we describe applying data mining methods to retrospective clinical data to build a prediction model for asthma exacerbation severity for pediatric patients in the emergency department. Difficulties in building such a model forced us to investigate alternative strategies for analyzing and processing retrospective data. This paper describes this process together with an approach to mining retrospective clinical data by incorporating formalized external expert knowledge (secondary knowledge sources) into the classification task. This knowledge is used to partition the data into a number of coherent sets, where each set is explicitly described in terms of the secondary knowledge source. Instances from each set are then classified in a manner appropriate for the characteristics of the particular set. We present our methodology and outline a set of experiential results that demonstrate some advantages and some limitations of our approach. © 2008 Springer-Verlag Berlin Heidelberg.

Attributes of identity document credibility: A synthesis of expert knowledge

In broad terms — including a thief's use of existing credit card, bank, or other accounts — the number of identity fraud victims in the United States ranges 9-10 million per year, or roughly 4% of the US adult population. The average annual theft per stolen identity was estimated at $6,383 in 2006, up approximately 22% from $5,248 in 2003; an increase in estimated total theft from $53.2 billion in 2003 to $56.6 billion in 2006. About three million Americans each year fall victim to the worst kind of identity fraud: new account fraud. Names, Social Security numbers, dates of birth, and other data are acquired fraudulently from the issuing organization, or from the victim then these data are used to create fraudulent identity documents. In turn, these are presented to other organizations as evidence of identity, used to open new lines of credit, secure loans, “flip” property, or otherwise turn a profit in a victim's name. This is much more time consuming — and typically more costly — to repair than fraudulent use of existing accounts. ^ This research borrows from well-established theoretical backgrounds, in an effort to answer the question – what is it that makes identity documents credible? Most importantly, identification of the components of credibility draws upon personal construct psychology, the underpinning for the repertory grid technique, a form of structured interviewing that arrives at a description of the interviewee’s constructs on a given topic, such as credibility of identity documents. This represents substantial contribution to theory, being the first research to use the repertory grid technique to elicit from experts, their mental constructs used to evaluate credibility of different types of identity documents reviewed in the course of opening new accounts. The research identified twenty-one characteristics, different ones of which are present on different types of identity documents. Expert evaluations of these documents in different scenarios suggest that visual characteristics are most important for a physical document, while authenticated personal data are most important for a digital document. ^

Attributes of Identity Document Credibility: A Synthesis of Expert Knowledge

In broad terms — including a thief's use of existing credit card, bank, or other accounts — the number of identity fraud victims in the United States ranges 9-10 million per year, or roughly 4% of the US adult population. The average annual theft per stolen identity was estimated at $6,383 in 2006, up approximately 22% from $5,248 in 2003; an increase in estimated total theft from $53.2 billion in 2003 to $56.6 billion in 2006. About three million Americans each year fall victim to the worst kind of identity fraud: new account fraud. Names, Social Security numbers, dates of birth, and other data are acquired fraudulently from the issuing organization, or from the victim then these data are used to create fraudulent identity documents. In turn, these are presented to other organizations as evidence of identity, used to open new lines of credit, secure loans, “flip” property, or otherwise turn a profit in a victim's name. This is much more time consuming — and typically more costly — to repair than fraudulent use of existing accounts. This research borrows from well-established theoretical backgrounds, in an effort to answer the question – what is it that makes identity documents credible? Most importantly, identification of the components of credibility draws upon personal construct psychology, the underpinning for the repertory grid technique, a form of structured interviewing that arrives at a description of the interviewee’s constructs on a given topic, such as credibility of identity documents. This represents substantial contribution to theory, being the first research to use the repertory grid technique to elicit from experts, their mental constructs used to evaluate credibility of different types of identity documents reviewed in the course of opening new accounts. The research identified twenty-one characteristics, different ones of which are present on different types of identity documents. Expert evaluations of these documents in different scenarios suggest that visual characteristics are most important for a physical document, while authenticated personal data are most important for a digital document.

‘We do not know exactly what we are going to say until we have said it’: interview data on how poems are made

Strategies for combating gendered perceptions of careers

Purpose – Earlier work on career choice has identified that career choice involves gendered processes which lead to differentiated career outcomes for women and men. However, this literature remained anaemic in offering career counselling strategies for addressing the negative impacts of these processes. The paper aims to explore the creativity cycle and other tools derived from personal construct psychology (PCP) and other feminist literature as potential means for dissolving gendered perceptions of various professions and organisational practices. Design/methodology/approach – This is a conceptual paper. Findings – The paper argues that PCP can provide a theoretical and methodological framework for discussing how dichotomous and gender identified the perceptions of professions can be and how such perceptions might be challenged. Practical implications – This theory and its techniques allow us an exploration of the flexibility of one’s constructions system, which determines a person’s ability to construe alternative views and to develop new ways of understanding oneself and others. Originality/value – The PCP’s potential as a technique to combat gendered perceptions of a career is examined.

Review of tropospheric bomb C-14 data for carbon cycle modeling and age calibration purposes

Comprehensive published radiocarbon data from selected atmospheric records, tree rings, and recent organic matter were analyzed and grouped into 4 different zones (three for the Northern Hemisphere and one for the whole Southern Hemisphere). These C-14 data for the summer season of each hemisphere were employed to construct zonal, hemispheric, and global data sets for use in regional and global carbon model calculations including calibrating and comparing carbon cycle models. In addition, extended monthly atmospheric C-14 data sets for 4 different zones were compiled for age calibration purposes. This is the first time these data sets were constructed to facilitate the dating of recent organic material using the bomb C-14 curves. The distribution of bomb C-14 reflects the major zones of atmospheric circulation.

Using input-output data in life cycle inventory analysis

The impacts on the environment from human activities are of increasing concern. The need to consider the reduction in energy consumption is of particular interest, especially in the construction and operation of buildings, which accounts for between 30 and 40% of Australia's national energy consumption. Much past and more recent emphasis has been placed on methods for reducing the energy consumed in the operation of buildings. With the energy embodied in these buildings having been shown to account for an equally large proportion of a building's life cycle energy consumption, there is a need to look at ways of reducing the embodied energy of buildings and related products. Life cycle assessment (LCA) is considered to be the most appropriate tool for assessing the life cycle energy consumption of buildings and their products. The life cycle inventory analysis (LCIA) step of a LCA, where an inventory of material and energy inputs is gathered, may currently suffer from several limitations, mainly concerned with the use of incomplete and unreliable data sources and LCIA methods. These traditional methods of LCIA include process-based and input-output-based LCIA. Process-based LCIA uses process specific data, whilst input-output-based LCIA uses data produced from an analysis of the flow of goods and services between sectors of the Australian economy, also known as input-output data. With the incompleteness and unreliability of these two respective methods in mind, hybrid LCIA methods have been developed to minimise the errors associated with traditional LCIA methods, combining both process and input-output data. Hybrid LCIA methods based on process data have shown to be incomplete. Hybrid LCIA methods based on input-output data involve substituting available process data into the input-output model minimising the errors associated with process-based hybrid LCIA methods. However, until now, this LCIA method had not been tested for its level of completeness and reliability. The aim of this study was to assess the reliability and completeness of hybrid life cycle inventory analysis, as applied to the Australian construction industry. A range of case studies were selected in order to apply the input-output-based hybrid LCIA method and evaluate the subsequent results as obtained from each case study. These case studies included buildings: two commercial office buildings, two residential buildings, a recreational building; and building related products: a solar hot water system, a building integrated photovoltaic system and a washing machine. The range of building types and products selected assisted in testing the input-output-based hybrid LCIA method for its applicability across a wide range of product types. The input-output-based hybrid LCIA method was applied to each of the selected case studies in order to obtain their respective embodied energy results. These results were then evaluated with the use of a number of evaluation methods. These evaluation methods included an analysis of the difference between the process-based and input-output-based hybrid LCIA results as an evaluation of the completeness of the process-based LCIA method. The second method of evaluation used was a comparison between equivalent process and input-output values used in the input-output-based hybrid LCIA method as a measure of reliability. It was found that the results from a typical process-based LCIA and process-based hybrid LCIA have a large gap when compared to input-output-based hybrid LCIA results (up to 80%). This gap has shown that the currently available quantity of process data in Australia is insufficient. The comparison between equivalent process-based and input-output-based LCIA values showed that the input-output data does not provide a reliable representation of the equivalent process values, for material energy intensities, material inputs and whole products. Therefore, the use of input-output data to account for inadequate or missing process data is not reliable. However, as there is currently no other method for filling the gaps in traditional process-based LCIA, and as input-output data is considered to be more complete than process data, and the errors may be somewhat lower, using input-output data to fill the gaps in traditional process-based LCIA appears to be better than not using any data at all. The input-output-based hybrid LCIA method evaluated in this study has shown to be the most sophisticated and complete currently available LCIA method for assessing the environmental impacts associated with buildings and building related products. This finding is significant as the construction and operation of buildings accounts for a large proportion of national energy consumption. The use of the input-output-based hybrid LCIA method for products other than those related to the Australian construction industry may be appropriate, especially if the material inputs of the product being assessed are similar to those typically used in the construction industry. The input-output-based hybrid LCIA method has been used to correct some of the errors and limitations associated with previous LCIA methods, without the introduction of any new errors. Improvements in current input-output models are also needed, particularly to account for the inclusion of capital equipment inputs (i.e. the energy required to manufacture the machinery and other equipment used in the production of building materials, products etc.). Although further improvements in the quantity of currently available process data are also needed, this study has shown that with the current available embodied energy data for LCIA, the input-output-based hybrid LCIA appears to provide the most reliable and complete method for use in assessing the environmental impacts of the Australian construction industry.

Maternal Role & High-Risk Pregnancy Experience with Antepartum Hospitalization

Purpose. The focus of maternal role development, historically, has been on the tasks and processes during pregnancy as they relate to postpartum role transition. The purpose of this study was to investigate how women hospitalized with high-risk pregnancy cognitively construct pregnancy and impending motherhood. ^ Design. The study employed a triangulation design using a convergence model with a dominant focused ethnographic approach. ^ Setting. The antepartum units of two tertiary care centers in a large metropolitan city in southeast Texas. ^ Sample. Data saturation was determined with thirteen (13) primigravid women who had been hospitalized more than 72 hours with preterm labor (PTL) or preterm premature rupture of membranes (PPROM) who subsequently delivered seventeen (17) infants which included 4 sets of twins. ^ Methods. Open-ended, semi-structured interviews and field work were used to explore the development of maternal role in this population. After collecting descriptive data, long individual interviews were conducted and the Prenatal Self Evaluation Questionnaire (PSEQ), an instrument to measure prenatal adaptation to pregnancy, was administered. The interview focused on exploring the woman's experiences of pregnancy and impending motherhood while hospitalized. Interview data and field notes were coded and analyzed using qualitative thematic analytic techniques. The PSEQ was scored and the findings of the qualitative data and PSEQ data were compared. ^ Findings. Thematic analysis of the qualitative data provided an understanding of the cognitive process that occurs as the pregnant woman builds a relationship with the fetus. Thematic analysis resulted in a conceptual model with two complementary components that occur throughout the pregnancy: Establishing a Relationship and Dynamic Equilibrium. Establishing a Relationship includes subthemes of: Courting, Building a Connection, and Engagement. Dynamic equilibrium is the balance between expectations and reality and exists regardless of pregnancy complications. The negotiation of this potential imbalance is triggered by uncertainty, loss of autonomy and control, and isolation and is exacerbated by the high-risk pregnancy and subsequent hospitalization. These triggers can serve as obstacles to maternal role development, but may be mediated by external support from friends and family or health care providers. Support from others may come in the form of anticipatory guidance, presence, or activities that promote self-agency. PSEQ scores were similar to previous reports, but due to the small sample, scores were used primarily for comparison to qualitative data. The qualitative findings were congruent with the PSEQ findings in all of the subscales except in the concern for the well-being of the baby. Interview reports included comments demonstrating significant concern for the well-being of the infant, yet the related subscale did not demonstrate such concern. ^ Conclusions. An understanding of the cognitive process involved in establishing a relationship with the developing fetus related to impending motherhood and the importance of dynamic equilibrium can allow healthcare providers and those who interact with pregnant women to support development of the maternal role and anticipate those barriers that may impede that process. Findings from this study identify those triggers and mediators that influence development of the maternal role and suggest potential intervening strategies for those involved in the care of childbearing families. ^

Growing Well-beings: the Positive Experience of Care Farms

Objectives: Care farms enable people who are in some way vulnerable to engage with agricultural places and farming activities. This study investigates how this impacts on the health and well-being of service users and explores associated processes and outcomes. Design: A mixed methods design was adopted that allowed for the integration of quantitative measurements of change with qualitative descriptions of this change. A pragmatic approach provided sufficient flexibility to support the investigation of complex contexts. Methods: A total of 216 service users completed an initial questionnaire, and 137 (63%) of this number provided comparative data in a follow-up questionnaire. Questionnaires contained multiple choice and open-ended questions alongside standardized health and well-being measures requiring Likert-format responses. Semi-structured interviews with 33 service users allowed personal experiences to be detailed. Results: Statistical analysis of well-being measure scores identified significant positive relationships with the length of time people had been attending the care farm. Questionnaire and interview data presented health benefits as being enabled by the farm environment, the positive experience as supporting personal development, and associated social interactions as becoming increasingly influential as time progressed. Conclusions: The health and well-being outcomes that result from participating at a care farm influence multiple elements of the human condition and apply amongst vulnerable people with a wide range of personal needs. Care farms have access to a potentially unique range of resources that can support many service users in becoming happier and healthier individuals.

Deconstructing expected passenger experience in airports

The effect of passenger satisfaction on airport profitability has been widely acknowledged in the aviation industry. As a result, there has been much attention directed towards developing a deeper understanding of the factors that influence the passenger experience. In this paper, we explore passenger experience from a novel perspective - that of the activities expected to be undertaken by passengers while in the airport terminal building. Using the Taxonomy of Passenger Experience (TOPA) as our framework, we look at the pre-travel interview data of 48 participants. The results of our analysis are used to construct an activity-centred account of the expected passenger experience for international departures. Our exploration of the expected passenger experienced revealed that not all of the TOPA activities have an equal impact on the passengers' expected experience. The processing, consumptive, preparatory and queuing activity groups featured most prominently in passengers' accounts of their upcoming airport experiences. Of these, the preparatory category was found to have the most direct impact on passenger satisfaction. Additionally, our analysis indicated that utilising queue time to prepare passengers for upcoming processing activities could have a positive effect on both satisfaction and processing efficiency. A further outcome of this research was the observation that "shopping" did not form a part of the expected experience of any of the interviewed participants. The outcomes of this study can be used by airports to assist in the management of passengers' expected experience in the terminal building. As passenger expectations and passenger satisfaction are intrinsically linked, understanding which activities have the most impact on satisfaction provides a basis from which alternate design choices can be evaluated when constructing, or fine-tuning, airport terminal designs.

Playing alone, playing with others: Differences in player experience and indicators of wellbeing

Video game play is becoming an increasingly social experience, yet we have little understanding of how social and solitary modes of play differ in terms of the player experience or interact with player wellbeing. An online survey (n = 446) collected data on players' current mode of play, their game play experience, social capital gained from game play and wellbeing. The results indicate that social and solitary players differ in terms of degree of autonomy, presence and relatedness experienced, while the different types of social play are associated with differences in relatedness and social capital experienced. Different predictors of wellbeing were also present across solitary and social player samples. People who play games on their own experience greater wellbeing when experiencing in-game autonomy. Social players experience greater wellbeing when playing with strangers, and when experiencing in-game bridging social capital. All players experienced increased wellbeing with age and decreased wellbeing with greater amounts of play.

Qualitative evaluation of KA24 (Knowledge Access 24)

Durbin, J. & Urquhart, C. (2003). Qualitative evaluation of KA24 (Knowledge Access 24). Aberystwyth: Department of Information Studies, University of Wales Aberystwyth. Sponsorship: Knowledge Access 24 (NHS)