Constructing Questions For Interviews And Questionnaires
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Constructing Questions for Interviews and Questionnaires
Author: William Foddy
language: en
Publisher: Cambridge University Press
Release Date: 1993
The success of any interview or questionnaire depends upon good question design, yet most of the available literature has been devoted to interview techniques, rather than question formulation. This practical book provides a coherent, theoretical basis for the construction of valid and reliable questions for interviews and questionnaires. The theoretical framework used in the book provides a set of principles that, when followed, will increase the validity and reliability of verbal data collected for social research. Dr Foddy outlines the problems which can arise when framing questions with clarity and commonsense. He has written a wide ranging, useful book for survey practitioners working in the social sciences.
Data Collecting Methods and Experiences
Author: Manohar S. Pawar
language: en
Publisher: Sterling Publishers Pvt. Ltd
Release Date: 2004-01-01
The insightful experiences and successful strategies of leading social researchers are presented in this resource for collecting data on sensitive issues. The methodological challenges of researching different communities, from rural and indigenous communities to governmental and non-governmental organisations, are discussed with suggestions on overcoming barriers and using a multifaceted approach to research. Wisdom and anecdotes from data collecting experiences are described to offer researchers confidence in field operations.
Designing and Conducting Health Surveys
Designing and Conducting Health Surveys is written for students, teachers, researchers, and anyone who conducts health surveys. This third edition of the standard reference in the field draws heavily on the most recent methodological research on survey design and the rich storehouse of insights and implications provided by cognitive research on question and questionnaire design in particular. This important resource presents a total survey error framework that is a useful compass for charting the dangerous waters between systematic and random errors that inevitably accompany the survey design enterprise. In addition, three new studies based on national, international, and state and local surveys—the UNICEF Multiple Indicator Cluster Surveys, California Health Interview Survey, and National Dental Malpractice Survey—are detailed that illustrate the range of design alternatives available at each stage of developing a survey and provide a sound basis for choosing among them.