Prediction of elite schoolboy 2000m rowing ergometer performance from metabolic, anthropometric and strength variables

In 19 elite schoolboy rowers, the relationships between anthropometric characteristics, metabolic parameters, strength variables and 2000-m rowing ergometer performance time were analysed to test the hypothesis that a combination of these variables would predict performance better than either individual variables or one category of variables. Anthropometric characteristics, maximal oxygen uptake (VO2max), accumulated oxygen deficit, net efficiency, leg strength and 2000-m rowing ergometer time were measured. Body mass, VO2max and knee extension correlated with 2000-m performance time (r= -0.41, -0.43 and -0.40, respectively; P< 0.05), while net efficiency and accumulated oxygen deficit did not. Multiple-regression analyses indicated that the prediction model using anthropometric variables alone best predicts performance (R = 0.82), followed by the equation comprising body mass, VO2max and skinfolds (R = 0.80). Although the regression equations increased the predictive power from that obtained using single variables, the hypothesis that a prediction model consisting of variables from different physiological categories would predict performance better than variables from one physiological category was not supported.     

THE APPLICATION OF REPERTORY GRID TECHNIQUE TO COURSE EVALUATION — A PILOT PROJECT

This paper reports on a pilot project carried out between September 1989 and June 1990 at a large college of Further and Higher Education. Using Interactive software based on Repertory Grid Techniques, the authors monitored the progress of a group of students undertaking theflrst year of the Diploma In Nursing (University of London). The primary focus was on how the students were reacting to the course as a whole and to Illuminate Individual difficulties and concerns, which could then be fed back to the course team. It was hoped that the complete process would provide a unique picture of how individual perceptions and responses changed throughout the year.

The authors explain how the software was used, the data analysed, and how the feedback to students and tutors was managed. The prime purpose of the activity was to gain insights into how the technique could be most effectively used across a wide range of courses within the college and to determine whether it was feasible for students to use each other for reflective analysis and discussion of grids. Such an approach should provide useful Information both to course providers and evaluators.     

Managing knowledge performance: testing the components of a knowledge management system on organizational performance

The main purpose of the current study is to validate the framework of knowledge management (KM) capabilities created by Gold (Towards a theory of organizational knowledge management capabilities. Doctoral dissertation, University of North Carolina, Chapel Hill) 2001) in a study of South Korean companies. However, the original framework did not provide a thorough explanation of the effect of incentives, which motivate and encourage the knowledge management process. In this study, the modified framework that includes incentives in the knowledge infrastructure capability was tested. Moreover, since there is a weak linkage between KM and organizational performance, this study used empirical evidence to identify the relationship between KM capabilities (KMC) and four perspectives of organizational performance. Since structural equation modeling (SEM) is mostly used to describe causal relationships among unobserved (latent) and observed variables, this study used SEM procedures to determine whether there were any structural relationships between knowledge management capabilities and four perspectives of organizational performance. Moreover, the SEM procedure is “a statistical test to find whether a model fits a set of data, whether it matches a theoretical expectation” (Vogt, Dictionary of statistics & methodology. Sage Publications Inc., Thousand Oaks, CA, p 135, 2005). Therefore, this study also used SEM procedures to test a hypothesized model that had a good fit indicates that the model adequately describes the sample data. This study assumed that knowledge management capabilities could be divided into two types: knowledge infrastructure and process capabilities. The original hypothesized model showed that there was a positive relationship between knowledge management capabilities and organizational performance, but the overall model fit was insufficient to be accepted, because knowledge infrastructure and process capabilities were highly correlated. This study proposed two alternative models to find the best fit and found that knowledge infrastructure and process capabilities should be combined under the higher-order latent variable as subordinate latent variables. Lastly, there was a positive relationship between KMC and organizational performance. This study might not be free from common method bias to some degrees. It would be better to divide participants into two groups to respond to either the knowledge management capabilities survey or the organizational performance survey and to investigate the correlation between them. There are two main contributions for the field of knowledge management. First, this study attempted to integrate the fragmented literature of knowledge management into a holistic view and develop a framework for knowledge management. Moreover, this study found that there is a strong and positive relationship between KM infrastructure and process, which could refer that, to improve organizational performance, an organization should support KM processes, as well as build decent KM infrastructure. The results of this study would help KM practitioners to advocate the importance of KM to top managements.     

Centre of pressure patterns in the golf swing: individual-based analysis

Weight transfer has been identified as important in group-based analyses. The aim of this study was to extend this work by examining the importance of weight transfer in the golf swing on an individual basis. Five professional and amateur golfers performed 50 swings with the driver, hitting a ball into a net. The golfer's centre of pressure position and velocity, parallel with the line of shot, were measured by two force plates at eight swing events that were identified from high-speed video. The relationships between these parameters and club head velocity at ball contact were examined using regression statistics. The results did support the use of group-based analysis, with all golfers returning significant relationships. However, results were also individual-specific, with golfers returning different combinations of significant factors. Furthermore, factors not identified in group-based analysis were significant on an individual basis. The most consistent relationship was a larger weight transfer range associated with a larger club head velocity (p < 0.05). All golfers also returned at least one significant relationship with rate of weight transfer at swing events (p < 0.01). Individual-based analysis should form part of performance-based biomechanical analysis of sporting skills.     

MPACT and citation impact: Two sides of the same scholarly coin?

This article provides the first comparison of citation counts and mentoring impact (MPACT) indicators — indicators that serve to quantify the process of doctoral mentoring. Using a dataset of 120 library and information science (LIS) faculty members in North America, this article examines the correlation between MPACT indicators and citation counts. Results suggest that MPACT indicators measure something distinct from citation counts. The article discusses these distinctions, with emphasis on differences between faculty ranks. It considers possible explanations for weak correlations between citations and mentoring at the full professor rank as well as implications for faculty activity analysis and broader institutional evolution.     

Assessing Library Customer Interactions and Staff Satisfaction

In 2016, two service departments–the office of information technology (OIT) and the academic resource center (ARC) at the college–physically relocated into the library. To ensure consistent customer service and staffing for the ARC, OIT, and library, the departments collaborated to discuss the implications for their new shared space. They decided to use a common online customer service form in Qualtrics to track and assess library customer interactions and staff satisfaction.