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Measure paper 3: Impact measurement
... The "whole-of-system" approach is usually adopted when the strategic goals of government's innovation initiatives are seen to "go beyond efficiency, effectiveness and economy, and include political and social objectives such as trust in government, social inclusion, community regeneration, community wellbeing and sustainability" (Grimsley and Meehan, 2007, p. 134). This approach calls for shifting the focus of the evaluation from inputs and outputs to outcomes and impacts that are not normally indicated as the direct objectives of an initiative, but rather as societal objectives to which a successful initiative should contribute, such as economic growth, jobs, democracy, inclusion, quality of life, etc." (Verleye, 2010). ...
The paper investigates the implementation of One-stop government in Italy and the Lebanon. The Italian government’s One-Stop Business Shop (‘SUAP’) programme is first analyzed to discover why it has taken 12 years of legislation to get Italy’s municipalities fully on board, and whether it has returned the expected benefits by effectively lightening the administrative load that drags on the competitiveness of the country’s business sector. The critical discussion of the “innovation by law” approach identifies the stumbling blocks that have deterred the Italian government from achieving its mission to set up the One-Stop Business Shops and to deliver e-government. On the other hand, the Lebanese case study shows that legislation is not the only factor that drives innovation, given that several projects, the One-Stop Shop included, were implemented without it.
Analysis of Ordinal Categorical Data Alan Agresti Statistical Science Now has its first coordinated manual of methods for analyzing ordered categorical data. This book discusses specialized models that, unlike standard methods underlying nominal categorical data, efficiently use the information on ordering. It begins with an introduction to basic descriptive and inferential methods for categorical data, and then gives thorough coverage of the most current developments, such as loglinear and logit models for ordinal data. Special emphasis is placed on interpretation and application of methods and contains an integrated comparison of the available strategies for analyzing ordinal data. This is a case study work with illuminating examples taken from across the wide spectrum of ordinal categorical applications. 1984 (0 471-89055-3) 287 pp. Regression Diagnostics Identifying Influential Data and Sources of Collinearity David A. Belsley, Edwin Kuh and Roy E. Welsch This book provides the practicing statistician and econometrician with new tools for assessing the quality and reliability of regression estimates. Diagnostic techniques are developed that aid in the systematic location of data points that are either unusual or inordinately influential; measure the presence and intensity of collinear relations among the regression data and help to identify the variables involved in each; and pinpoint the estimated coefficients that are potentially most adversely affected. The primary emphasis of these contributions is on diagnostics, but suggestions for remedial action are given and illustrated. 1980 (0 471-05856-4) 292 pp. Applied Regression Analysis Second Edition Norman Draper and Harry Smith Featuring a significant expansion of material reflecting recent advances, here is a complete and up-to-date introduction to the fundamentals of regression analysis, focusing on understanding the latest concepts and applications of these methods. The authors thoroughly explore the fitting and checking of both linear and nonlinear regression models, using small or large data sets and pocket or high-speed computing equipment. Features added to this Second Edition include the practical implications of linear regression; the Durbin-Watson test for serial correlation; families of transformations; inverse, ridge, latent root and robust regression; and nonlinear growth models. Includes many new exercises and worked examples.
Most writing on sociological method has been concerned with how accurate facts can be obtained and how theory can thereby be more rigorously tested. In The Discovery of Grounded Theory, Barney Glaser and Anselm Strauss address the equally Important enterprise of how the discovery of theory from data--systematically obtained and analyzed in social research--can be furthered. The discovery of theory from data--grounded theory--is a major task confronting sociology, for such a theory fits empirical situations, and is understandable to sociologists and laymen alike. Most important, it provides relevant predictions, explanations, interpretations, and applications. In Part I of the book, "Generation Theory by Comparative Analysis," the authors present a strategy whereby sociologists can facilitate the discovery of grounded theory, both substantive and formal. This strategy involves the systematic choice and study of several comparison groups. In Part II, The Flexible Use of Data," the generation of theory from qualitative, especially documentary, and quantitative data Is considered. In Part III, "Implications of Grounded Theory," Glaser and Strauss examine the credibility of grounded theory. The Discovery of Grounded Theory is directed toward improving social scientists' capacity for generating theory that will be relevant to their research. While aimed primarily at sociologists, it will be useful to anyone Interested In studying social phenomena--political, educational, economic, industrial-- especially If their studies are based on qualitative data.
Totale bevolking naar leeftijd en geslacht per gewest. Brussel: Studiedienst Vlaamse Regering
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SVR (2008). Totale bevolking naar leeftijd en geslacht per gewest. Brussel:
Studiedienst Vlaamse Regering. Retrieved October 2, 2008 from
http://www4.vlaanderen.be/dar/svr/cijfers/Exceltabellen/demografie/1_Bevolking/1
_Gewesten/5_Bevolking_naar_leeftijd_en_geslacht_per_gewest.xls