Sampling in Marketing Research


Book Description







In It Together: Why Less Inequality Benefits All


Book Description

This book highlights the key areas where inequalities are created and where new policies are required, including the consequences of current consolidation policies, structural labour market changes with rising non-standard work and job polarisation, persisting gender gaps...







Handbook of Regional and Urban Economics


Book Description

Fifteen essays in this handbook are divided into four parts. Part I surveys basic spatial and spatially related research; Part II surveys literature on specific urban markets; Part III is devoted to studies of urban development and problems in developing countries.; Part IV contains papers on specific urban problems and sectors.







Item Response Theory


Book Description

Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations of algorithms that can be used to estimate the item or ability parameters under various IRT models. Extensively revised and expanded, this edition offers three new chapters discussing parameter estimation with multiple groups, parameter estimation for a test with mixed item types, and Markov chain Monte Carlo methods. It includes discussions on issues related to statistical theory, numerical methods, and the mechanics of computer programs for parameter estimation, which help to build a clear understanding of the computational demands and challenges of IRT estimation procedures.




Methods in Comparative Effectiveness Research


Book Description

Comparative effectiveness research (CER) is the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition or to improve the delivery of care (IOM 2009). CER is conducted to develop evidence that will aid patients, clinicians, purchasers, and health policy makers in making informed decisions at both the individual and population levels. CER encompasses a very broad range of types of studies—experimental, observational, prospective, retrospective, and research synthesis. This volume covers the main areas of quantitative methodology for the design and analysis of CER studies. The volume has four major sections—causal inference; clinical trials; research synthesis; and specialized topics. The audience includes CER methodologists, quantitative-trained researchers interested in CER, and graduate students in statistics, epidemiology, and health services and outcomes research. The book assumes a masters-level course in regression analysis and familiarity with clinical research.