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Social science research should lead to a better understanding of current societal developments and enable policy makers to propose solutions to problems and design policies that can serve the public more effectively. Governments are increasingly aware of the need and opportunities to improve the contribution of social science knowledge to policy making and are keen to realise this potential. Can the social sciences act as an agent of societal change? How can they contribute to social practice? How can their policy relevance be increased? Can best practice in other research fields and economic sectors be a source of inspiration on new approaches to sharing knowledge? And how can the divide between the two communities - social scientists and decision makers - be narrowed? These are some of the enduring questions tackled by academics and policy makers at the Workshop on the Contribution of Social Sciences to Knowledge and Decision Making, Bruges, 26-28 June 2000.

Decision making -- Congresses. --- Decision making -- Government policy -- OECD countries. --- Social policy -- Decision making -- Congresses. --- Social sciences -- Research -- Congresses. --- Social sciences --- Decision making --- Social policy --- Social Sciences --- Social Sciences - General --- Research --- Sciences sociales --- Prise de décision --- Congresses --- Congrès

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Qualitative methods in social research --- Telephone surveys --- Social sciences --- Methodology --- Congresses --- Random digit dialing --- Research --- -Telephone surveys --- -Surveys, Telephone --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- -Congresses --- Congresses. --- -Research --- Surveys, Telephone --- Research&delete& --- Methodology&delete& --- Random digit dialing&delete& --- Telephone surveys - Methodology - Congresses --- Telephone surveys - Random digit dialing - Congresses --- Social sciences - Research - Congresses

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Stoetzel, Jean --- Public opinion polls --- Social sciences --- Social surveys --- Congresses --- Research --- Congresses. --- Enquêtes sociales --- Congrès --- Stoetzel, Jean. --- Public opinion polls - Congresses --- Social sciences - Research - Congresses --- Social surveys - Congresses --- ENQUETE D'OPINION --- SONDAGE D'OPINION --- SOCIOLOGIE --- METHODOLOGIE --- TECHNIQUE D'ENQUETE

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This book covers recent advances for quantitative researchers with practical examples from social sciences. The twelve chapters written by distinguished authors cover a wide range of issues--all providing practical tools using the free R software. McCullough: R can be used for reliable statistical computing, whereas most statistical and econometric software cannot. This is illustrated by the effect of abortion on crime. Koenker: Additive models provide a clever compromise between parametric and non-parametric components illustrated by risk factors for Indian malnutrition. Gelman: R graphics in the context of voter participation in US elections. Vinod: New solutions to the old problem of efficient estimation despite autocorrelation and heteroscedasticity among regression errors are proposed and illustrated by the Phillips curve tradeoff between inflation and unemployment. Markus and Gu: New R tools for exploratory data analysis including bubble plots. Vinod, Hsu and Tian: New R tools for portfolio selection borrowed from computer scientists and data-mining experts; relevant to anyone with an investment portfolio. Foster and Kecojevic: Extends the usual analysis of covariance (ANCOVA) illustrated by growth charts for Saudi children. Imai, Keele, Tingley, and Yamamoto: New R tools for solving the age-old scientific problem of assessing the direction and strength of causation. Their job search illustration is of interest during current times of high unemployment. Haupt, Schnurbus, and Tschernig: Consider the choice of functional form for an unknown, potentially nonlinear relationship, explaining a set of new R tools for model visualization and validation. Rindskopf: R methods to fit a multinomial based multivariate analysis of variance (ANOVA) with examples from psychology, sociology, political science, and medicine. Neath: R tools for Bayesian posterior distributions to study increased disease risk in proximity to a hazardous waste site. Numatsi and Rengifo: Explain persistent discrete jumps in financial series subject to misspecification.

Social sciences -- Research -- Congresses. --- Statistics. --- Social sciences --- R (Computer program language) --- Mathematics --- Social Sciences --- Physical Sciences & Mathematics --- Social Sciences - General --- Mathematical Statistics --- Research --- Econometrics --- Data processing. --- Methodology. --- Public health. --- Economics, Mathematical. --- Econometrics. --- Social sciences. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Environmental Monitoring/Analysis. --- Quantitative Finance. --- Public Health. --- Methodology of the Social Sciences. --- Economics, Mathematical --- Statistics --- Finance. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Monitoring/Environmental Analysis. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Funding --- Funds --- Economics --- Currency question --- Statistics . --- Environmental monitoring. --- Economics, Mathematical . --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Community health --- Health services --- Hygiene, Public --- Hygiene, Social --- Public health services --- Public hygiene --- Social hygiene --- Health --- Human services --- Biosecurity --- Health literacy --- Medicine, Preventive --- National health services --- Sanitation --- Mathematical economics --- Biomonitoring (Ecology) --- Ecological monitoring --- Environmental quality --- Monitoring, Environmental --- Applied ecology --- Environmental engineering --- Pollution --- Methodology --- Measurement --- Monitoring --- GNU-S (Computer program language) --- Domain-specific programming languages