Design, Evaluation, and Analysis of Questionnaires for Survey Research, Second Edition explores updates on the statistical knowledge and development of survey questionnaires, including analyzing the important decisions researchers make throughout the survey design process. The new edition provides coverage of an updated SQP program, which has an expanded question database from the Multi-trait Multi-method (MTMM) experiments. This book aims to give students and survey researchers a state-of-the-art introduction to questionnaire design and how to construct questionnaires with the highest relevance and accuracy. The pitfalls of questionnaire design are outlined throughout the book, which alerts designers of questionnaires to the many prior decisions that will affect the quality of the research outcome. It is important to measure the quality of questions at the outset in order for students and researchers to consider the consequences and methods of achieving reliable and effective questions.
Indirect questioning is a crucial topic in surveys of human populations. When the issue is about a stigmatizing characteristic (for example about illegal drug use), standard survey methodologies are destined to fail because, as expected, people are not willing to reveal incriminating information or information violating their privacy.nbsp; Indirect questioning techniques have been devised so that the privacy of participants in a sample survey is protected and at the same time good estimates of certain parameters (e.g. the percentage of people in a certain community who use illegal drugs) can be delivered. The topic is modern and still under development. Indirect Questioning in Sample Surveys represents a collection of the most important and recent techniques of indirect questioning, including various versions of randomized response, the item count technique, the nominative technique, the three-card method, non-randomized response models and negative surveys, while also exploring the key aspect of protecting privacy.
Survey Research can be used as an independent guide or as a workbook to accompany Keith F Punch's bestselling Introduction to Social Research (SAGE, 1998). It represents a short, practical `how-to' book on a central methodology technique aimed at the beginning researcher. The focus of this book is on small-scale quantitative surveys studying the relationships between variables. After showing the central place of the quantitative survey in social science research methodology, it then takes a simple model of the survey, describes its elements and gives a set of steps and guidelines for implementing each element. The book then shows how the simple model of the quantitative survey generalizes easily to more complex models. It includes a detailed example of both simple and complex models, which readers should find very helpful. It is directed primarily at beginning researchers - upper-level undergraduate and graduate students in any area of social science, who often have to do small scale surveys in projects and dissertations. Beyond this, it will be of interest to anybody interested in learning about survey research. It is written in non-technical language, aiming to be as accessible as possible to a wide audience.