Research Strategies in the Social Sciences: A Guide to New ApproachesElinor Scarbrough, Eric Tanenbaum In this single, accessible volume, a team of international experts sets out a range of analytic tools available to social scientists from the cutting edge of social science methodolgy. In contrast to much of the existing literature, which is often of daunting complexity, this volume presents social scientists with some experience with a guide through the maze of advanced techniques applicable across the range of the social sciences. The first chapters outline ways in which the revolution in computing power is transforming the working environment for social scientists, extending their analytic reach, and opening up new research horizons. The empirical chapters each present a particular approach to data analysis, discussing the underlying logic and demonstrating its application by working through a substantive example - with mathematical reasoning kept to a minimum. The theoretical chapters provide an introduction to recently developing approaches to social science research. Each chapter includes ample references to other works in the field, and to appropriate software programs, for those who are keen to pursue a particular approach in greater detail. |
Other editions - View all
Research Strategies in the Social Sciences: A Guide to New Approaches Elinor Scarbrough,Eric Tanenbaum No preview available - 1998 |
Research Strategies in the Social Sciences: A Guide to New Approaches Elinor Scarbrough,Eric Tanenbaum No preview available - 1998 |
Common terms and phrases
allocated analysis anti-foundationalism approach ARIMA assumptions autocorrelation behaviour campaigning capture chapter coefficients cointegrating concepts Conservative Party Conservative vote intentions constituencies correlation covariates dependent variable discourse theory distribution dummy duration dependence econometric economic effect empirical equilibrium error-correction estimates event history example exogenous exponential function game theory hazard rate higher-level hypothesis identity ideology income indicator Laclau and Mouffe latent class latent class model latent variable Level linear log-linear models logistic regression long-run marginal means measured methods Mouffe's multilevel modelling non-stationary observed odds ordinary least squares outcome parameters party identification predicted prime ministerial approval probability problem random rational choice rational choice theory regression model relationship residuals respondents sample shown in Fig significant social science social scientists specific standard errors stationary statistical strategy structural equation modelling substantive Table techniques theoretical time-series tion unit root values variance Weibull Y₁