Psychometric properties of the caregiver assessment of movement participation scale for screening children with development coordination disorders

Using Rasch analysis, the psychometric properties of a newly developed 35-item parent-proxy instrument, the Caregiver Assessment of Movement Participation (CAMP), designed to measure movement participation problems in children with Developmental Coordination Disorder, were examined. The CAMP was administered to 465 school children aged 5–10 years. Thirty of the 35 items were retained as they had acceptable infit and outfit statistics. Item separation (7.48) and child separation (3.16) were good; moreover, the CAMP had excellent reliability (Reliability Index for item = 0.98; Person = 0.91). Principal components analysis of item residuals confirmed the unidimensionality of the instrument. Based on category probability statistics, the original five-point scale was collapsed into a four-point scale. The item threshold calibration of the CAMP with the Movement Assessment Battery for Children Test was computed. The results indicated that a CAMP total score of 75 is the optimal cut-off point for identifying children at risk of movement problems.

Testing for predictability in panels with general predictors

The difficulty of predicting returns has recently motivated researchers to start looking for tests that are either more powerful or robust to more features of the data. Unfortunately, the way that these tests work typically involves trading robustness for power or vice versa. The current paper takes this as its starting point to develop a new panel-based approach to predictability that is both robust and powerful. Specifically, while the panel route to increased power is not new, the way in which the cross-section variation is exploited also to achieve robustness with respect to the predictor is. The result is two new tests that enable asymptotically standard normal and chi-squared inference across a wide range of empirically relevant scenarios in which the predictor may be stationary, moderately non-stationary, nearly non-stationary, or indeed unit root non-stationary. The type of cross-section dependence that can be permitted in the predictor is also very general, and can be weak or strong, although we do require that the cross-section dependence in the regression errors is of the strong form. What is more, this generality comes at no cost in terms of complicated test construction. The new tests are therefore very user-friendly.

Construction of extrusion limit diagram for AZ31 magnesium alloy by FE simulation

The maximum speed at which magnesium can be extruded is considerably slower than that of many common aluminium extrusion alloys. This affects both the economies of production and the final mechanical behaviour. The present work quantifies the limiting extrusion speeds and ratios of magnesium alloy AZ31 as a function of billet temperature. This is done by combining hot compression test results, FE simulations and extrusion trials. Hot working stress–strain curves displayed a distinct dynamic recrystallisation peak. These data were used as a “look-up” table for the FE simulations in which the cracking limit was assumed to occur when the surface temperature reaches the incipient melting point. The maximum extrusion ratio predicted using FE analysis dropped from 90 to 40 when the extrusion ram speed was raised from 5 to 50 mm/s. The predicted limits agree well with the occurrence of cracking in both a laboratory and a commercial extrusion trial.

Investigating relationships of construction prices in Australia using cointegration analysis

Research on construction prices is significant for contractors and traders. A comprehensive understanding of construction prices may influence crucial decisions in business operation and arbitrage activities. This study focuses on the cointegration relationships of regional construction prices in Australia by using a range of econometric techniques including the stationarity test, the Engle-Granger cointegration approach examines the long run equilibrium relationships within the regional markets, and the error correction models explore the short run disequilibrium relationships. Finds of this study reveal that the economic system in which the construction industry participants operate is characterized by a highly competitive, integrated marketplace, Especially in Melbourne and Sydney. But exclude Northern Territory and Queensland. Furthermore, the results of long term relationships estimation suggest that there are 15 pairs of regional construction prices have long term equilibrium relationships. Additionally, the causalities and diffusion among the construction price indices in six states and two territories of Australia are estimated in this study. These outcomes suggest that causal links between regions mainly exist among adjoining states.

An economic analysis of construction industries producer prices in Australia

Research on construction prices is significant for contractors and traders. A comprehensive understanding of construction prices may influence crucial decisions in business operation and arbitrage activities. This study focuses on the cointegration relationships of regional construction prices in Australia by using a range of econometric techniques including the stationarity test, the Engle-Granger cointegration approach and error correction model. The cointegration relationships amongst the regional construction prices are detected in this study. The application of the Engle-Granger cointegration approach examines the long run equilibrium relationships within the regional markets, and the error correction models explore the short run disequilibrium relationships. Results of this study suggest that the economic system in which construction industry participants operate is characterised by a highly competitive integrated marketplace. Furthermore, the causalities and diffusion patterns among the construction price indices in six states and two territories of Australia are drawn by the cointegration analysis. These outcomes reveal a pattern of diffusion paths and network linkages among the six states and two territories, and then expose the regional price linkages.

Convergence among the sub-markets in Australian regional building and construction sector

Studies on market convergence are well considered in the literature. However, the majority of the previous research focused on housing markets and few studies have concentrated on construction markets. Owing to a simultaneously dramatic increase in the construction prices of the sub-markets in the building construction sector in Australia, this paper aims to identify the convergence among these markets, involving house construction market, other-residential building construction market, and non-residential building construction market. To achieve it the Granger causality test and generalized response function depending on the vector error correction model with the quarterly data of Australia’s eight states from 1998 to 2010 will be applied. Based upon the econometric tests, the price diffusion patterns among these construction markets have been identified. Research on the convergences of construction markets not only helps construction firms perform well in business operations and arbitrage activities, but also provides policy makers with useful information for enacting effective construction policies for national perspectives and approaches to infrastructure planning.

Implementing a suitable jobs register in the construction industry : preliminary evidence

This pilot study investigated the efficacy of a job register index to support return to work (RTW) for injured workers in the construction industry. Participants included injured workers (n = 22), supervisors/managers (n = 23), treating practitioners (n = 5), occupational rehabilitation consultants (n = 5), union representatives/occupational health and safety representatives (n = 5), RTW coordinators (n = 2), steering committee members (n = 4) and the designated project officer (n = 1). A pre–post test intact group design was used to evaluate the perceived utility of the job register. A partial set of the sample including injured workers and supervisors/managers participated in the pretrial phase (n = 28) while the trial phase included more numerous stakeholder groups to assess the perceived utility of the register (n = 39). Participants completed surveys that incorporated a number of differing sections including injury description and circumstances, communication and collaboration with others, their overall opinion of the return to work process in general and suggestions for future improvements. Additional questions were designed for those participating in the trial with regards to the efficacy of the register. Data were analysed using analysis of variance procedures with pairwise comparisons of pre–post intervention test means. Alternative job options were seen to be offered more frequently. Communication and cooperation improved post implementation. Supervisors perceived the job register a useful innovation to facilitate RTW. The register represents a new resource to the construction industry with potential for wider application following further study.

Pathways to formally assessed work placement : employers' perspectives on collaborative education in the Australian construction industry

The QS and construction industry is uniquely impacted by project-based work environments. This creates special challenges for collaborative, work-integrated education of pre-professional students. This research is based on investigating the attitudes of employer’s towards the use of formally assessed internships. The study comprised two stages- firstly a series of pilot interviews were undertaken with employers to test a number known issues and secondly, the results from the interviews were used to refine a set of questions that were put to a large focus group of employers who were invited from across the property and construction sector in Australia. The results showed that many employer organisations expressed considerable goodwill towards collaborative education with universities. However, the challenges caused by project-based work environments restrict employers' ability to provide comprehensive learning opportunities. This research discusses some of the distinctive issues associated with work-integrated learning in the construction industry and proposes some potential opportunities for overcoming these restrictions.

lnvestigating spatial linkages of construction prices in Australia's regions

Linkages among different construction markets have attracted great of attention from the construction economist. With notable exceptions, most of this infestation has carried out by using input-output analysis. Interactions among regional construction markets have been discussed in few studies and none of them investigate spatial effects on the regional construction markets. This study employed spatial econometric techniques, spatial autocorrelation and convergence tests, to analysis interactions and linkages among construction price indices in Australian six states and two territories. The empirical results indicate the presence of significant positive spatial correlation between the construction prices in Australian eight construction markets and the degree of dependence decrease sufficiently quickly as the space between units increase. The results of convergence test further present evidence on "ripple effect" in the construction prices in Australian regional markets and the changes in regional construction price would positively influence neighboring states first, and then spread out into others, and then the regional prices converge and reach a long-run equilibrium in the following quarters. Urban development policymakers and construction developers could benefit from the analysis of spatial linkages in regional construction markets.

Market effects on forecasting construction prices using vector error correction models

Construction price forecasting is an essential component to facilitate decision-making for construction contractors, investors and related financial institutions. Construction economists are increasingly interested in seeking a more analytical method to forecast construction prices. Although many studies have focused on construction price modelling and forecasting, few have considered the impacts of large-scale economic events and seasonality. In this study, an advanced multivariate modelling technique, namely the vector correction (VEC) model with dummy variables, was employed. The impacts of global economic events and seasonality are factored into the model to forecast the construction price in the Australian construction market. Research findings suggest that both long-run and dynamic short-term causal relationships exist among the price and levels of supply and demand in the construction market. These relationships drive the construction price and supply and demand, which interact with one another as a loop system. The reliability of forecasting models was examined by the mean absolute percentage error (MAPE) and the Theil's inequality coefficient U tests. The test results suggest that the conventional VEC model and the VEC model with dummy variable are both acceptable for forecasting the construction price, while the VEC model considering external impacts achieves higher prediction accuracy than the conventional VEC model. © 2014 © 2014 Taylor & Francis.

Spatial linkages among Australian construction markets

The linkages among different construction markets have recently attracted much attention from construction economists. The interactions among regional construction markets have been discussed in a few studies, most of which have been carried out by using input-output methods, and none of them investigated spatial effects on the regional construction markets. This study employed spatial econometric techniques, including spatial autocorrelation and convergence tests, to analyse interactions and linkages among construction price indices in Australian six states and two territories. The empirical results indicate the presence of significant positive spatial correlation among the construction prices in Australian eight construction markets and the degree of dependence decreasing sufficiently quickly as the space between regions increases. The results of convergence test further provide evidence of existence of a ripple effect in construction prices among the Australian regional markets and the changes in construction prices in a state would first positively influence neighbouring states, and then spread out into other non-neighbouring states or territories.

Waste management practices in construction projects: perceptions of project managers

The construction industry has been found to be a major generator of waste and there are many challenges associated with finding the most sustainable way to manage construction waste. As the construction industry is a project based industry, it is essential to look at cultural issues related to waste management at the project level. Therefore, this research aims to identify the current status of waste management practices in construction projects by analysing project managers’ views on waste management performance in construction projects; project managers’ attitudes towards waste management; and project managers’ views on waste management culture in construction projects. A questionnaire survey was carried out and project managers were selected as a target group to distribute questionnaires, as project managers have a vital involvement in promoting and maintaining project culture in the construction project environment. Data was analysed using descriptive statistics and the Kruskal-Wallis test. The findings reveal that project managers believe that even though the operational cost of waste minimisation is high in construction projects, overall waste management is profitable. At the same time it was interesting that even though project managers believe most project participants are satisfied with existing waste management systems, overall waste management efforts are not perceived as being at a satisfactory level in construction projects. Project managers consider waste as an inevitable by-product, but they do not believe that waste management is beyond the control of project members or that waste has no value. At the same time, it was found that project managers infer that project participants are cost and time conscious in waste management despite the roles, responsibilities and duties of each party in waste management not being well-coordinated or fully understood. Taken together, these findings highlight the misconceptions related to waste management in construction projects and emphasise the necessity of collective responsibility on the part of project participants to enhance the performance of waste management in construction projects.

Mapping site-based construction workers' motivation: expectancy theory approach

The aim of this study is to apply a recently proposed model of motivation based on expectancy theory to site-based workers in construction and confirm the validity of this model for the construction industry. The study drew upon data from 194 site-based construction workers in Iran to test the proposed model of motivation. To this end, the structural equation modelling (SEM) approach based on the confirmatory factor analysis (CFA) technique was deployed. The study reveals that the proposed model of expectancy theory incorporating five indicators (i.e. intrinsic instrumentality, extrinsic instrumentality, intrinsic valence, extrinsic valence and expectancy) is able to map the process of construction workers' motivation. Nonetheless, the findings posit that intrinsic indicators could be more effective than extrinsic ones. This proffers the necessity of construction managers placing further focus on intrinsic motivators to motivate workers.