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2011UALTC Interactive installations : exploring collaborative working practice through blended learning and public engagement
Full text linkAbstract submitted to the Annual Learning and Teaching Conference 2011. Paper delivered under the theme ‘A University for the Region’
1827-1828 Laurel – ARCdoc UK Whaling Logbooks
Full text linkThis dataset contains spreadsheet data collated from actual UK whaling logbooks between 1750 and 1850. Each worksheet represents one year and contains two voyages. One outgoing voyage from the UK to Hudson Bay, normally leaving at the end of June, beginning of July, and one return journey leaving Hudson Bay in September and returning to the UK in October. The Supporting Documentation describes the collated data and provides a background to the research. The whaling logbooks used in this project, representing a significant addition to those of the Hudson Bay Company (HBC), are confined to the period 1750 to 1850 although most of them post-date 1800. Attention is also confined to UK logbooks. In contrast to the HBC logbooks, those of the whaling vessels do not cover every year of the study period and only some 40 have survived of the original many thousands of voyages. The outcomes are a series of monthly summary statistics for each month of the voyages. These are confined to the summer season as the vessels could not sail in winter, but provide nonetheless a valuable series of first-hand observations. These are expressed as a series of indices quantifying the frequency of winds from each of the four quadrants (N, S, E & W), gales, fog, snow and rain. The mean wind force can also be calculated for each month. The whaling logbooks provide a unique additional set of daily and monthly-aggregated data on sea ice cover and character
Network analysis for OB/HRM in R software
No full textThe amount of research investigating psychological networks has grown substantially over the last decade but to our knowledge this is the first study applying network analysis methodology to the fields of OB/HRM. As such, this study aims to provide researchers and practitioners with an easy-to-use syntax to conduct network analysis for the exploration of relationships among organizational behaviors. Unlike the mainstream techniques used in psychometrics (e.g., principal component analysis and structural equation modelling), which are constrained by the number of associations among variables or assumptions regarding dimensionality, network analysis is able to analyze the whole set of items at once in order to find the most representative associations among them. A step-by-step guide is provided with an example showing how to test potential relationships between engagement and authentic leadership using the R package bootnet. Besides information on edge-weights and centrality measures, this paper covers a bootstrapping procedure to test their accuracy and stability when small sample sizes are used. The possibilities of applications of psychological networks to organizational behavior and HRM practices are endless and can help overcome some of the limitations of the traditional statistical techniques applied to these fields