Bøger i European Association of Methodology Series serien

This book presents the latest strategies and methodological developments for the analysis of cross-cultural data. Internationally prominent researchers from a variety of fields explain how the methods work and how to apply them.

This book reviews the latest statistical and methodological research on survey research techniques to help improve the reliability of survey generated data. The various methods studied are reviewed along with the resulting empirical evidence and insights gained from the results. The evidence is based on field- or quasi-experimental research, observational or simulation studies or a combination thereof. The book examines: survey modes and response effects, interviewers and survey error, asking sensitive questions, conducting web surveys and access panels, coping with non-response, and handling missing data. This book is ideal for students or professionals who employ survey research methods.

Written by distinguished experts in the field, this book presents longitudinal models and analysis procedures for use in the behavioral and social sciences and the technical problems that may be encountered along the way. The book opens with an overview of the latest theoretical developments, situations that arise due to the categorical nature of the data, issues related to state space modeling, and potential problems that may arise from network analysis and/or growth-curve data. The remainder of the book focuses on applications of longitudinal modeling in a variety of disciplines such as heterogeneity on the patterns of a firm¿s profit, on house prices, and on delinquent behavior; non-linearity in growth in assessing cognitive aging; measurement error issues in longitudinal research; and distance association for the analysis of change. Ideal for advanced students and researchers in psychology, sociology, education, economics, management, medicine, and neuroscience.

Covers methodological and statistical issues in designing and analyzing surveys. This handbook provides guidance on collecting survey data and creating meaningful results. It focuses on data collection, from face-to-face interviews, to Internet and interactive voice response, to special challenges involved in mixing these modes within one survey.

A resource on advanced topics related to multilevel analysis. It addresses various applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common as more complicated models are developed. Each chapter features examples that use actual datasets.

This new volume reviews" "longitudinal models and analysis procedures for use in the behavioral and social sciences. Written by distinguished experts in the field, the book presents the most current approaches and theories, and the technical problems that may be encountered along the way. Readers will find new ideas about the use of longitudinal analysis in solving problems that arise due to the specific nature of the research design and the data available. Divided into two parts, "Longitudinal Models in the Behavioral and Related Sciences "opens with the latest theoretical developments. In particular, the book addresses situations that arise due to the categorical nature of the data, issues related to state space modeling, and potential problems that may arise from network analysis and/or growth-curve data. The focus of part two is on the application of longitudinal modeling in a variety of disciplines. The book features applications such as heterogeneity on the patterns of a firm's profit, on house prices, and on delinquent behavior; non-linearity in growth in assessing cognitive aging; measurement error issues in longitudinal research; and distance association for the analysis of change. Part two clearly demonstrates the caution that should be taken when applying longitudinal modeling as well as in the interpretation of the results. "Longitudinal Models in the Behavioral and Related Sciences" is ideal for advanced students and researchers in psychology, sociology, education, economics, management, medicine, and neuroscience.

This book reviews the latest statistical and methodological research on survey research techniques to help improve the reliability of survey generated data. The various methods studied are reviewed along with the resulting empirical evidence and insights gained from the results. The evidence is based on field- or quasi-experimental research, observational or simulation studies or a combination thereof. The book examines: survey modes and response effects, interviewers and survey error, asking sensitive questions, conducting web surveys and access panels, coping with non-response, and handling missing data. This book is ideal for students or professionals who employ survey research methods.

This book presents the latest strategies and methodological developments for the analysis of cross-cultural data. Internationally prominent researchers from a variety of fields explain how the methods work and how to apply them.

This unique resource provides guidelines and tools for implementing solutions to issues that arise in small sample research. The methods described in this book will be useful for researchers across the social and behavioral sciences, ranging from medical sciences and epidemiology, to psychology, marketing, and economics.

This book summarizes a range of new analytic tools for multitrait-multimethod (MTMM) data. Providing an expository yet accessible approach to cutting-edge developments for MTMM analysis, a selection of quantitative researchers reveal their recent contributions to the field including non-technical summaries and empirical examples.

This book summarizes a range of new analytic tools for multitrait-multimethod (MTMM) data. Providing an expository yet accessible approach to cutting-edge developments for MTMM analysis, a selection of quantitative researchers reveal their recent contributions to the field including non-technical summaries and empirical examples.

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.