Research Methods for Social Scientists – serie

Web Survey Methodology guides the reader through the past fifteen years of research in web survey methodology. It both provides practical guidance on the latest techniques for collecting valid and reliable data and offers a comprehensive overview of research issues. Core topics from preparation to questionnaire design, recruitment testing to analysis and survey software are all covered in a systematic and insightful way. The reader will be exposed to key concepts and key findings in the literature, covering measurement, non-response, adjustments, paradata, and cost issues. The book also discusses the hottest research topics in survey research today, such as internet panels, virtual interviewing, mobile surveys and the integration with passive measurements, e-social sciences, mixed modes and business intelligence.

 

The book is intended for students, practitioners, and researchers in fields such as survey and market research, psychological research, official statistics and customer satisfaction research.

Web Survey Methodology guides the reader through the past fifteen years of research in web survey methodology. It both provides practical guidance on the latest techniques for collecting valid and reliable data and offers a comprehensive overview of research issues. Core topics from preparation to questionnaire design, recruitment testing to analysis and survey software are all covered in a systematic and insightful way. The reader will be exposed to key concepts and key findings in the literature, covering measurement, non-response, adjustments, paradata, and cost issues. The book also discusses the hottest research topics in survey research today, such as internet panels, virtual interviewing, mobile surveys and the integration with passive measurements, e-social sciences, mixed modes and business intelligence.

 

The book is intended for students, practitioners, and researchers in fields such as survey and market research, psychological research, official statistics and customer satisfaction research.

Aimed at students who have completed basic statistical training, this book is the perfect gateway to help you move up to more advanced courses. Armed with an understanding of regression analysis, you will be ready to apply regression methods effectively and insightfully any problem.

Benefits of this book:

·         Accessible to all students, regardless of their mathematical level

·         Rich with examples and problems from a across the social sciences, business and health

·         Examples and problem sets on the companion website help you to test your learning and put your skills into practice.

·         A guide to Matrix Algebra to help students quickly grasp more advanced procedures

This is the ideal companion into advanced regression analysis for students in the social sciences, business and health.

Aimed at students who have completed basic statistical training, this book is the perfect gateway to help you move up to more advanced courses. Armed with an understanding of regression analysis, you will be ready to apply regression methods effectively and insightfully any problem.

Benefits of this book:

·         Accessible to all students, regardless of their mathematical level

·         Rich with examples and problems from a across the social sciences, business and health

·         Examples and problem sets on the companion website help you to test your learning and put your skills into practice.

·         A guide to Matrix Algebra to help students quickly grasp more advanced procedures

This is the ideal companion into advanced regression analysis for students in the social sciences, business and health.

This is a book for any researcher using any kind of survey data. It introduces the latest methods of assessing the quality and validity of such data by providing new ways of interpreting variation and measuring error. By practically and accessibly demonstrating these techniques, especially those derived from Multiple Correspondence Analysis, the authors develop screening procedures to search for variation in observed responses that do not correspond with actual differences between respondents. Using well-known international data sets, the authors exemplify how to detect all manner of non-substantive variation having sources such as a variety of response styles including acquiescence, respondents' failure to understand questions, inadequate field work standards, interview fatigue, and even the manufacture of (partly) faked interviews.