{"product_id":"sage-handbook-of-quantitative-methods-in-psychology","title":"SAGE Handbook of Quantitative Methods in Psychology","description":"`I often... wonder to myself whether the field needs another book, handbook, or encyclopedia on this topic. In this case I think that the answer is truly yes. The handbook is well focused on important issues in the field, and the chapters are written by recognized authorities in their fields. The book should appeal to anyone who wants an understanding of important topics that frequently go uncovered in graduate education in psychology′ - \u003cb\u003e\u003ci\u003eDavid C Howell, Professor Emeritus, University of Vermont\n\u003c\/i\u003e\u003c\/b\u003e\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\u003ci\u003eQuantitative psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods and psychological measurement exist, none offer a unified treatment of quantitative psychology. The\u003cb\u003e SAGE Handbook of Quantitative Methods in Psychology \u003c\/b\u003edoes just that. \u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\u003ci\u003eEach chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area. \u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\u003ci\u003eDrawing on a global scholarship, the \u003cb\u003eHandbook\u003c\/b\u003e is divided into seven parts:\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\u003ci\u003e\u003cb\u003ePart One: Design and Inference:\u003c\/b\u003e addresses issues in the inference of causal relations from experimental and non-experimental research, along with the design of true experiments and quasi-experiments, and the problem of missing data due to various influences such as attrition or non-compliance.\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\u003ci\u003e\u003cb\u003ePart Two: Measurement Theory:\u003c\/b\u003e begins with a chapter on classical test theory, followed by the common factor analysis model as a model for psychological measurement. The models for continuous latent variables in item-response theory are covered next, followed by a chapter on discrete latent variable models as represented in latent class analysis.\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\u003ci\u003e\u003cb\u003ePart Three: Scaling Methods:\u003c\/b\u003e covers metric and non-metric scaling methods as developed in multidimensional scaling, followed by consideration of the scaling of discrete measures as found in dual scaling and correspondence analysis. Models for preference data such as those found in random utility theory are covered next.\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\u003ci\u003e\u003cb\u003ePart Four: Data Analysis: \u003c\/b\u003eincludes chapters on regression models, categorical data analysis, multilevel or hierarchical models, resampling methods, robust data analysis, meta-analysis, Bayesian data analysis, and cluster analysis.\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\u003ci\u003e\u003cb\u003ePart Five: Structural Equation Models:\u003c\/b\u003e addresses topics in general structural equation modeling, nonlinear structural equation models, mixture models, and multilevel structural equation models.\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\u003ci\u003e\u003cb\u003ePart Six: Longitudinal Models:\u003c\/b\u003e covers the analysis of longitudinal data via mixed modeling, time series analysis and event history analysis.\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\u003ci\u003e\u003cb\u003ePart Seven: Specialized Models:\u003c\/b\u003e covers specific topics including the analysis of neuro-imaging data and functional data-analysis.\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":54248370209112,"sku":"9781412930918","price":212.04,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781412930918.jpg?v=1777816869","url":"https:\/\/agendabookshop.com\/products\/sage-handbook-of-quantitative-methods-in-psychology","provider":"Agenda Bookshop","version":"1.0","type":"link"}