The handbook of data analysis 7

Description

This book provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis Content: Introduction: Common Threads among Techniques of Data Analysis - Melissa Hardy and Alan BrymanPART ONE: FOUNDATIONSConstructing Variables - Alan Bryman and Duncan CramerSummarizing Distributions - Melissa HardyInference - Lawrence HazelriggStrategies for Analysis of Incomplete Data - Mortaza JamshidianFeminist Issues in Data Analysis - Mary MaynardHistorical Analysis - Dennis SmithPART TWO: THE GENERAL LINEAR MODEL AND EXTENSIONSMultiple Regression Analysis - Ross M. StolzenbergIncorporating Categorical Information into Regression Models: The Utility of Dummy Variables - Melissa Hardy and John ReynoldsAnalyzing Contingent Effects in Regression Models - James Jaccard and Tonya DodgeRegression Models for Categorical Outcomes - J Scott Long and Simon ChengLog-Linear Analysis - Douglas L Anderton and Eric CheneyPART THREE: LONGITUDINAL MODELSModeling Change - Nancy Brandon TumaAnalyzing Panel Data: Fixed- and Random-Effects Models - Trond PetersenLongitudinal Analysis for Continuous Outcomes: Random Effects Models and Latent Trajectory Models - Guang Guo and John HippEvent History Analysis - Paul AllisonSequence Analysis and Optimal Matching Techniques for Social Science Data - Heather MacIndoe and Andrew AbbottPART FOUR: NEW DEVELOPMENTS IN MODELINGSample Selection Bias Models - Vincent Kang Fu, Christopher Winship and Robert D MareStructural Equation Modeling - Jodie B Ullman and Peter M BentlerMultilevel Modelling - William Browne and Jon RasbashCausal Inference in Sociological Studies - Christopher Winship and Michael SobelThe Analysis of Social Networks - Ronald L BreigerPART FIVE: ANALYZING QUALITATIVE DATATools for Qualitative Data Analysis - Raymond M Lee and Nigel G FieldingContent Analysis - Roberto P FranzosiSemiotics and Data Analysis - Peter K ManningConversation Analysis - Steven E Clayman and Virginia Teas GillDiscourse Analysis - Jonathan PotterGrounded Theory - Nick Pidgeon and Karen HenwoodThe Uses of Narrative in Social Science Research - Barbara CzarniawskaQualitative Research and the Postmodern Turn - Sara Delamont and Paul Atkinson