Innovation and regional economic development: A matter of perspective?

This paper investigates the issue of innovation policy within a regional context. It is presented that the perspective one takes is important both in how one interprets the processes and relationships involved, but also in the way one identifies barriers and problems in policy formation and how one resolves them. The paper explores a number of contrasting perspectives in relation to innovation policy and the regions and seeks to highlight the implications of this both for policy, but also in the development of our conceptual understanding about innovation and geography.     

The Feasibility of Single-Item Measures for Organizational Justice

Researchers in a number of disciplines have examined the utility of single-item measures for both affective and cognitive constructs. While these authors have indicated that, under certain circumstances, the use of single-item measures is appropriate, there remains concern regarding the reliability and validity of single-item measures. This study attempts to address these concerns by comparing the reliability and validity of single-item and full-scale measures for three dimensions of organizational justice. There are an increasing number of studies in organizational behavior, as well as sport management, that have explored the importance of justice and its influence on various attitudes and behaviors. However, to date there have been no attempts to develop single-item measures for each of the dimensions of organizational justice. The development of single-item measures for organizational justice could provide researchers with practical and psychometric advantages compared with full-scale measures. Two separate methods were used to test the reliability of single-item measures while concurrent validity was measured with a global measure of job satisfaction. Single-item measures demonstrated comparable concurrent validity, and, with one exception, the reliability estimates were all above .70.     

Using micro-sensor data to quantify macro kinematics of classical cross-country skiing during on-snow training

Abstract

Micro-sensors were used to quantify macro kinematics of classical cross-country skiing techniques and measure cycle rates and cycle lengths during on-snow training. Data were collected from seven national level participants skiing at two submaximal intensities while wearing a micro-sensor unit (MinimaxX^?). Algorithms were developed identifying double poling (DP), diagonal striding (DS), kick-double poling (KDP), tucking (Tuck), and turning (Turn). Technique duration (T-time), cycle rates, and cycle counts were compared to video-derived data to assess system accuracy. There was good reliability between micro-sensor and video calculated cycle rates for DP, DS, and KDP, with small mean differences (Mdiff% = ?0.2 ± 3.2, ?1.5 ± 2.2 and ?1.4 ± 6.2) and trivial to small effect sizes (ES = 0.20, 0.30 and 0.13). Very strong correlations were observed for DP, DS, and KDP for T-time (r = 0.87–0.99) and cycle count (r = 0.87–0.99), while mean values were under-reported by the micro-sensor. Incorrect Turn detection was a major factor in technique cycle misclassification. Data presented highlight the potential of automated ski technique classification in cross-country skiing research. With further refinement, this approach will allow many applied questions associated with pacing, fatigue, technique selection and power output during training and competition to be answered.     

Narrative-Based Learning Activities for Science Ethics Education: an Affordance Perspective

Journal of Science Education and Technology - Boasting a wide range of interactive and engaging features, narrative-based learning has become increasingly popular in educational settings....     

The impact of tracking by attainment on pupil self-confidence over time: demonstrating the accumulative impact of self-fulfilling prophecy

Abstract

The impact of self-fulfilling prophecy in education, and of attainment grouping on pupil self-perception, remain topics of longstanding debate, with important consequences for social in/justice. Focusing on self-confidence, this article draws on survey responses from 9,059 12-13 year olds who were tracked by subject (‘setting’). They provided survey responses when placed in ‘ability’ sets at the start of their secondary schooling, and again late the following year; enabling analysis of impact over time. After controlling for prior attainment, the gap in general self-confidence between students in the top and bottom sets for mathematics is shown to widen over time, and high set students’ self-confidence in English had also grown significantly; although there was not further widening in the cases of self-confidence in mathematics or in general self-confidence between students in the top and bottom sets for English. Implications of these findings for interventions directed at addressing educational disadvantage are discussed.     

Ice Cream Seminars for Graduate Students: Imparting Chemical Information Literacy

SUMMARY

This article provides information on a chemical information literacy program designed primarily for new graduate students. The full implementation of this program is discussed, including defining its purpose, topics covered, content presented, methods of marketing, and evaluation. The result is a series of voluntary seminars given biweekly throughout the academic year. Seminars are based either around a particular resource or database or are centered on a topical problem that may be addressed using multiple resources. Evaluations show that graduate students are pleased with the seminars, including content covered and the format. Areas for future development and experimentation are also suggested.     

Multiple software review: Drawing path diagrams

Amos Draw v3.51. SmallWaters Inc., 1507 East 53rd Street, Suite 452, Chicago, IL. MS® Windows® 3.x, 95, NT.

Chartist v1.7. NovaGraph, Inc., P. O. Box 80115, Richardson, TX. MS® Windows® 3.x, 95, NT.

Microsoft PowerPoint v7. Microsoft Corp., One Microsoft Way, Redmond, WA 98052–6399. MS® Windows® 3.x, 95, NT.

EQS v5.3. Multivariate Software, Inc., 4924 Balboa Boulevard, #368, Encino, CA. Windows® 3.x, 95, NT; Mac® OS 7.0 (and above).

MS Paint. (Packaged with Windows® 3.x, 95).

Visio v1.0. Visio Corp., 520 Pike Street, Suite 1800, Seattle, WA 98101. MS® Windows® 3.x, 95, NT.