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Institution

Northampton Community College

EducationBethlehem, Pennsylvania, United States
About: Northampton Community College is a education organization based out in Bethlehem, Pennsylvania, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 3410 authors who have published 4582 publications receiving 130398 citations. The organization is also known as: Northampton County Area Community College.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors report the results of an extensive study into team members' constructions of performance Factor analysis of data collected through 60 repertory grid structured interviews with members of management teams suggests seven factors that represent team performance: team purpose; team organisation; team leadership; team climate; interpersonal relations; team communications; and team composition.
Abstract: Teamwork is a key feature of work in organisations and a central question in the extensive literature on teams concerns the ways that team performance can be measured This paper summarises the concept of team performance and, focussing on management teams, reports the results of an extensive study into team members’ constructions of performance Factor analysis of data collected through 60 repertory grid structured interviews with members of management teams suggests seven factors that represent team performance The factors are: team purpose; team organisation; team leadership; team climate; interpersonal relations; team communications; and team composition An eighth factor, team interaction with the wider organisation, is suggested from theoretical considerations and is included in an eight‐factor model of team performance

72 citations

Journal ArticleDOI
TL;DR: In this paper, the authors consider how the life expectancies of building components in a life cycle cost calculation can be determined and make comparisons with initial capital cost estimating, where forecasts or estimates of cost have been carried out for many years.
Abstract: Considers how the life expectancies of building components in a life cycle cost calculation can be determined. Makes comparisons with initial capital cost estimating, where forecasts or estimates of cost have been carried out for many years. By definition an estimate is unlikely to be spot‐on. Also recognizes that life expectancy is not just a mathematical calculation but also requires the use of expert judgement. Any forecast of a future event, while utilizing previously recorded performance data, will always be influenced by prevailing conditions and future expectations. The initial quality and standards of the building project are important characteristics in determining component life expectancy as is the type of project itself. Identifies a range of different sources of published information on building component life expectancies. Different techniques are also discussed that have a potential in assisting with the prediction of the lives of building components.

72 citations

Journal ArticleDOI
TL;DR: The British Cardiac Society commissioned this report to help address inconsistencies in the terminology for acute coronary syndromes and wide variations in the threshold for the diagnosis of myocardial infarction depending on the assay performed, the precision, and the sensitivity.
Abstract: The British Cardiac Society commissioned this report to help address inconsistencies in the terminology for acute coronary syndromes and wide variations in the threshold for the diagnosis of myocardial infarction (MI) depending on the assay performed, the precision, and the sensitivity. In addition, several publications have highlighted potential problems with the application of the European Society of Cardiology (ESC)/ American College of Cardiology (ACC) consensus document published in 2000. A revision process has been initiated under the guidance of the ESC, the ACC, and the American Heart Association (AHA). The purpose of this report is to help inform the next revision of the ESC/ACC/AHA guidelines for the diagnosis of MI.

72 citations

Journal ArticleDOI
TL;DR: The authors examined the reliability of data on men's and women's past experiences of unemployment spells which has been gained by asking individuals to recall these spells and the dates of their occurrence and found that there are some important lessons to learn, particularly when individuals are being asked to recall experiences short in duration and low in importance.
Abstract: This paper sets out to examine the reliability of data on men's and women's past experiences of unemployment spells which has been gained by asking individuals to recall these spells and the dates of their occurrence. Surveys seek individuals' history data either to gain information about the initial conditions of respondents, or to examine these histories in their own right. It is much less expensive to collect data about individuals' histories by asking them to recall their experiences than it is to collect the same data from a panel survey over many years. However, important questions arise concerning the reliability and validity of data collected by the recall method. Reviews of the tests carried out on recall data show that there are some important lessons to learn, particularly when individuals are being asked to recall experiences short in duration and low in importance (Dex 1995). Validity is difficult to assess. This paper seeks to extend the body of knowledge about the reliability of recall data on individuals' unemployment histories by providing empirical data on two large-scale surveys which collected similar data on unemployment histories from large numbers of British adults in the early 1990s; Wave 2 (1992) of the British Household Panel Study (BHPS) and the 1994 Family and Working Lives Survey (FWLS).

72 citations


Authors

Showing all 3411 results

NameH-indexPapersCitations
Simon Baron-Cohen172773118071
Pete Smith1562464138819
Martin N. Rossor12867095743
Mark D. Griffiths124123861335
Richard G. Brown8321726205
Brendon Stubbs8175428180
Stuart N. Lane7633715788
Paul W. Burgess6915621038
Thomas Dietz6820337313
Huseyin Sehitoglu6732414378
Susan Golombok6721512856
David S.G. Thomas6322814796
Stephen Morris6344316484
Stephen Robertson6119723363
Michael J. Morgan6026612211
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
20221
202182
202073
201968
201865