Learning the Ropes: Communities of Practice and Social Networks in the Public Sector

ABSTRACT

How do public agencies integrate new employees and shape their learning process? How do newcomers’ connections, formed with experienced professionals, help them “learn the ropes”? Public managers may find themselves asking such questions as they employ tactics to transition newcomers into productive organizational members who fit in well. At the same time that managers work to shape newcomer learning, newcomers proactively develop their own ties within the organization for information and support. This study examines organizational socialization tactics in a state agency using longitudinal qualitative and social network data. We investigate the dynamics of organizationally instituted communities of practice and individual level egocentric networks in the context of newcomer adaptation. Our analysis reveals that while both are venues for newcomer learning and information acquisition there exists a distinction in real-time learning and practice between these two knowledge sources. Our article develops implications for both public management theory and practice.     

Estimation of housing needs amid population growth and change

Abstract

This article proposes a theoretical framework and more accurate methods for projecting the household growth component of estimates of housing needs. These estimates combine empirical evidence with normative assumptions about the quantity of housing expected with population growth. Recent California experience illustrates the theoretical and practical issues involved. Alternative empirical methods are used to model changes in per capita household formation and homeownership rates over time.

The results show great instability between 1960 and 2000 in the linkage between population and housing needs, casting doubt on which linkage to use for future projections. Past changes in housing growth are attributed to changing population composition and occupancy patterns for subgroups. Estimates based on a cohort method are lower than those using constant rates of housing consumption and conform much more closely to recent experience, but it may not be desirable to lock in the deficiencies of the past when projecting needs.     

Bayesian Multilevel Estimation with Poststratification: State-Level Estimates from National Polls

Andrew Gelman Departments of Statistics and Political Science, Columbia University, New York, NY 10027 e-mail: gelman{at}stat.columbia.edu Joseph Bafumi Department of Political Science, Columbia University, New York, NY 10027 We fit a multilevel logistic regression model for the mean ofa binary response variable conditional on poststratificationcells. This approach combines the modeling approach often usedin small-area estimation with the population information usedin poststratification (see Gelman and Little 1997, Survey Methodology23:127–135). To validate the method, we apply it to U.S.preelection polls for 1988 and 1992, poststratified by state,region, and the usual demographic variables. We evaluate themodel by comparing it to state-level election outcomes. Themultilevel model outperforms more commonly used models in politicalscience. We envision the most important usage of this methodto be not forecasting elections but estimating public opinionon a variety of issues at the state level.     

Use of hand-held laser scanning in the assessment of craniometry

The intra- and inter-examiner reliability was evaluated for hand-held 3D laser scanning technology when it was combined with localization of landmarks for craniometry. The data from the laser surface scanning were compared with those of conventional direct measuring. Using thirty unidentified skulls requested for individual identification, measurements were taken of the line distances from lambda to 26 landmarks, and also for seven breadth parameters. For the laser surface scanning, two examiners performed replicate measurements with an interval of 1 week. In the conventional direct measuring, the first examiner took replicate measurements with a 1-week interval. To assess intra- and inter-examiner reliabilities, the intraclass correlation coefficient was used. Analysis of variance with repeated measures for each parameter was performed to compare the conventional method with the 3D scanning method. Both the 3D scanning and conventional methods showed excellent intra-examiner reliabilities, and the 3D laser scanning method also showed excellent inter-examiner reliability. A statistical difference between the two examiners was found only in nasal breadth in the 3D laser scanning method. There was no significant difference between the two measuring methods, though the 3D laser scanning method tended to give a slightly lower reading. Collectively, the 3D laser scanning method with point localization is a useful method with excellent reliability, and it can replace the conventional direct measuring method in craniometry.     

Standardization of method for the analysis of dextromethorphan in urine

Dextromethorphan (DMP), an antitussive, is one of the most popular drugs among the younger generation in Korea. It usually is taken for its hallucinogenic properties and overdoses have been responsible for the fatalities that have been reported frequently. To control the abuse of DMP, the authorities restricted its use through classifying it as a controlled drug on October 2003. The purpose of this study is to provide a standard method for the analysis of DMP and its main metabolite, dextrorphan (DTP) in biological specimens. At first we established a standard operating procedure (SOP) for DMP/DTP in urine, and a method validation was performed. We also quantified DMP from 16 drug abuser's urine samples all of which were positive in the screening test for DMP. For the detection of DMP/DTP, urine samples were adjusted with 6N NaOH (pH 11) and extracted with ethylacetate. Thin layer chromatography was used as the screening test, and the final identification for DMP/DTP was used by GC/MS. The ions (m/z 271 for DMP, m/z 257 for DTP and m/z 86 for lidocaine as internal standard) were extracted from the full scan mass spectrum and were used for quantification. The selectivity, linearity of calibration, accuracy, within- and between day precision, limit of detection and quantification, recovery and stability were examined as parts of the method validation. Extracted calibration curves were linear from 100 to 2000 ng/mL for DMP and DTP with correlation coefficients better than 0.999. Limit detection was 50 ng/mL for DMP and DTP. Within-run precision (%CV) for DMP and DTP at three different concentrations (100, 500 and 1000 ng/mL) was 6.10-18.85%, and between-run precision was 1.70-7.86% for DMP and DTP. Absolute recovery for DMP and DTP was 57-74%, and relative recovery (extraction efficiency) was 80-89%. For 16 drug abuser's urine samples, the concentrations of DMP and DTP were 0.16-52.63 and 0.41-23.75 microg/mL, respectively. Method validation is an important requirement in the practice of chemical analysis, and it will be particularly useful in verifying the reliability of analytical results in the field of forensic science.     

Rupture of splenic artery aneurysm.

Three cases of death from splenic artery aneurysm rupture were encountered from 1988 to 1991 at the Philadelphia Medical Examiner's Office. In two cases, cocaine was detected in the blood and was believed to have precipitated the rupture. Toxicologic testing for cocaine should be performed in all cases of splenic artery aneurysm rupture and its presence should be interpreted properly as contributory rather than incidental to death.