Psychometric evaluation of the body change inventory: an assessment instrument for adolescent boys and girls

A new instrument, the Body Change Inventory, was developed to provide an assessment of body change strategies that are used by both adolescent girls and boys. The novel aspect of this instrument is that it evaluates strategies to increase body size and increase muscle size, as well strategies to decrease body size. Independent samples of adolescent girls and boys aged between 11 and 17 years (N=1732) participated in four studies. The revised instrument consisted of three body change scales—Strategies to Decrease Body Size, Strategies to Increase Body Size, and Strategies to Increase Muscle Size. The studies demonstrated content validity, construct validity, internal consistency, and concurrent and discriminant validity for the new scales. The new scales provide a valuable addition in the literature for assessing three global body change strategies among adolescent girls and boys. They are needed in order to examine further the normative development of different kinds of body change strategies and how these may lead to behavioural problems such as disordered eating, exercise dependence, and steroid use.

The reliability, validity, discriminant and predictive properties of the social Phobia Inventory (SoPhI)

This paper reports on the psychometric properties of the Social Phobic Inventory (SoPhI) a 21-item scale that was designed to measure social anxiety according to the criteria of DSM-IV (American Psychiatric Association, APA (1994) Diagnostic and Statistical Manual of Mental Disorder , 4th Edn., Washington). Factor analysis of the SoPhI using data from a clinical sample of respondents with social phobia revealed one factor which explained approximately 59% of variance and which demonstrated strong internal reliability ( agr= 0.93). The SoPhI demonstrated concurrent validity with the SPAI ( r = 0.86) and convergent validity with the Fear of Negative Evaluations-Revised ( r = 0.68). The predictive utility of the scale was demonstrated in a sample of university students classified as extroverted, normal, shy/introverted, and phobic/withdrawn ( -2 57%). Multivariate Analysis of Variance (MANOVA) revealed that the combined university sample differed from the clinical sample on the summated scores on the SoPhI and that 43% ( -2 ) of this difference was attributable to group membership. This figure rose to 58% attributable to group membership when these same groups were compared for differences on the 21 individual items. Scores of the SoPhI that are indicative of concern and of possible diagnostic criteria, as well as suggestions for future research, are discussed.

Hybrid life-cycle inventory for road construction and use

Life-cycle assessment (LCA) is a technique that is used worldwide by clients and their design team to assess the impact of
their projects on the environment. The main advantage of LCA is in supporting decision making with quantitative data. LCA inventories
can be either fully developed or streamlined. Fully developed LCAs are time-consuming and costly to prepare. Streamlined LCAs can be
used as an effective decision-making tool when considering environmental performance during the design process, but with a loss of
inventory completeness. Acknowledging the advantages and disadvantages of both types of LCA, this paper proposes a hybrid LCA
method that uses input-output data to fill in those gaps routinely left in conventional LCA inventories.

Revising the critical care family needs inventory for the emergency department

Background: The Critical Care Family Needs Inventory (CCFNI) has been used widely over the last two decades for analysing the needs of family members in the intensive care unit. However, it has significant limitations as a needs assessment tool for use with families in the Emergency Department (ED). This paper discusses the methodological challenges encountered during the process of reviewing and adapting this tool for use in the ED. Aims: The purpose of this study was to revise and adapt the CCFNI for use with a population of family members of critically ill patients in an Australian Emergency Department. Instrument: The process of tool revision, adaptation and reconstruction included: critique of the CCFNI; concept definition; item review; content and structure revision; scale revision; and testing with a sample of the target population. Methods: Data collection methods were aimed at accessing a vulnerable population, while enhancing response rate and data quality. A sample of 84 relatives of critically ill patients from one Melbourne Metropolitan Emergency Department was used, 73% of whom returned questionnaires. Results: Pilot data were examined with the specific purpose of identifying elements of the tool that required refinement or modification. Methods used for establishing reliability and validity of the revised tool provided satisfactory results. Limitations: Limitations of this study include inadequate sample size for exploratory factor analysis, and an incomplete response set for some items, which influenced item analysis. Conclusion: The process used for addressing the identified methodological issues in reviewing and adapting the CCFNI for use in the ED provides a framework for adapting an established tool for a specific purpose.

Using bottlenecks to control production inventory

In this paper, we investigate how to best optimise the level of Production Inventory or Work In Progress (WIP) in a factory. Using a simulation model of the factory, we show that a level of inventory can be optimised by controlling the buffer levels of the key bottleneck workcenters. By firstly identifying the key bottlenecks, and then systematically reducing the maximum buffer level for each bottleneck, results show that the throughput does not drop rapidly from it's high levels until the WIP is halved. Conversely, the production lead time decreases rapidly and levels out around the point of the optimum WIP level.

Preliminary validation of the Chinese version of the pediatric quality of life inventory

The Pediatric Quality of Life Inventory (PedsQL) is a scale for assessing health-related quality of life of children and adolescents aged 2-18 years. Three reports of PedsQL for the age ranges 2-4 years and 5-7 years were translated into Chinese and their validities were examined. A total of 186 children and parents were involved in the study. Content validity, test-retest reliability, internal consistency reliability and construct validity were assessed. The correlation of parents' and children's reports was also examined. The results showed that the internal consistency is generally good, test-retest reliability ranged from moderate to good, differences between disabled and non-disabled individuals are significant in total scores and in all subscales except for the physical functioning subscale for the children's self-report for the age ranges of 2-4 years and 5-7 years and the correlation between the reports of the parents and children for the age range of 5-7 years is moderate to high. This suggests that the newly translated Chinese PedsQL for children aged 2-4 years and 5-7 years seems to be reliable and valid to be used as a measure of health-related quality of life in Chinese pediatric research and clinical applications.

A life cycle inventory of aluminium die casting

As part of an ongoing project, a life cycle inventory (LCI) of aluminium high pressure die casting (HPDC) has been collected. This has been conducted from the view of an individual product and also the entire process. The objective of the study was to analyse the process and suggest changes to reduce environmental impacts. One modem aluminium high pressure die casting plant located in Victoria, Australia was evaluated and modelled. Site specific data on energy and materials was gathered and the process was modelled using a typical automotive component. The paper also presents our experience and methodology used in this inventory data collection process from the real industry for LCA purposes. The inventory data collected itself reveals that the HPDC process is energy intensive and as such the major emissions were from the use of natural gas fired furnaces and from the brown coal derived electricity. It is also found the large environmental benefits of using secondary aluminium over primary aluminium in the HPDC process. A detailed LCA is being cal1ied out based on the inventory obtained.

Personality-based typology of adolescent sexual offenders using the Millon Adolescent Clinical Inventory

Previous research suggests that identifying specific subgroups amongst the population of adolescent sexual offenders may contribute to understanding the aetiology of their offending. Such knowledge may also help to improve the treatment outcomes for this group. The Millon Adolescent Clinical Inventory (MACI) profiles of 25 adolescent male sexual offenders aged 13 to 17 in a community-based treatment sample were analysed to determine if this measure could be used to identify different subtypes of offenders based on personality variables. Three groups were identified by cluster analysis: one group of antisocial and externalising types (n = 11), another group of withdrawn, socially inadequate types (n = 7) and a third group displaying few traits of clinically significant elevation (n = 7). Support was also shown for the hypothesis that adolescent sexual offenders exhibit personality profiles similar to those of delinquent non-sexual offenders. The observed typology suggests potentially different etiological pathways and different treatment needs.

Typology of adolescent sexual offenders : millon adolescent clinical inventory profiles, developmental factors, and offence characteristics

The Millon Adolescent Clinical Inventory (MACI) profiles of 82 adolescent male sexual offenders aged 13-19 in a community-based treatment sample were analysed to identify different subtypes of offender based on personality variables. Four groups were identified by cluster analysis: a withdrawn, socially inadequate type (n = 25); an antisocial and externalising type (n = 11); a conforming type (n = 20); and a passive-aggressive type (n = 26). Between-group comparisons showed that the proportion of adolescents reporting physical abuse by their parents was significantly different across the four groups. Subgroup membership was unrelated to victim age, victim gender, and offender history of sexual victimisation. Adolescents who had been victims of sexual abuse were significantly more likely to have had a male victim than those offenders without a history of sexual victimisation. The results of this study provide evidence for the heterogeneity of adolescent sexual offenders in terms of personality characteristics and psychopathology, while also suggesting potentially different aetiological pathways and different treatment needs.

Modified life cycle inventory of aluminium die casting

Aluminium die casting is a process used to transform molten aluminium material into automotive gearbox housings, wheels and electronic components, among many other uses. It is used because it is a very efficient method of achieving near net shape with the required mechanical properties. Life Cycle Assessment (LCA) is a technique used to determine the environmental impacts of a product or process. The Life Cycle Inventory (LCI) is the initial phase of an LCA and describes which emissions will occur and which raw materials are used during the life of a product or during a process. This study has improved the LCI technique by adding in manufacturing and other costs to the ISO standardised methods. Although this is not new, the novel application and allocation methods have been developed independently. The improved technique has then been applied to Aluminium High Pressure Die Casting. In applying the improved LCI to this process, the cost in monetary terms and environmental emissions have been determined for a particular component manufactured by this process. A model has been developed in association with an industry partner so this technique can be repeatedly applied and used in the prediction of costs and emissions. This has been tested with two different products. Following this, specialised LCA software modelling of the aluminium high pressure die casting process was conducted. The variations in the process have shown that each particular component will have different costs and emissions and it is not possible to generalise the process by modelling only one component. This study has concentrated on one process within die casting but the techniques developed can be used across any variations in the die casting process.

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.