Ebook: Survey Data Collection and Integration

Statistical surveys represent an important source of scientific knowledge and a valid decision support tool in many fields, from social studies to economics, market research, health studies, and others. Scientists have tackled most of the methodological issues concerning surveys and the scientific literature offers excellent proposals for planning and conducting surveys. Nevertheless, surveys often require the achievement of aims that either deviate from the methodology or do not have a specific solution at all.

This book focuses on survey theory and applications, providing insight and innovative solutions to face problems in data collection and integration, complex sample design, opinion questionnaire design, and statistical estimation.

Formal rigour and simple language, together with real-life examples, will make the book suitable to both practitioners involved in applied research and to academics interested in scientific developments in the survey field.

Statistical surveys represent an important source of scientific knowledge and a valid decision support tool in many fields, from social studies to economics, market research, health studies, and others. Scientists have tackled most of the methodological issues concerning surveys and the scientific literature offers excellent proposals for planning and conducting surveys. Nevertheless, surveys often require the achievement of aims that either deviate from the methodology or do not have a specific solution at all.

This book focuses on survey theory and applications, providing insight and innovative solutions to face problems in data collection and integration, complex sample design, opinion questionnaire design, and statistical estimation.

Formal rigour and simple language, together with real-life examples, will make the book suitable to both practitioners involved in applied research and to academics interested in scientific developments in the survey field.

Statistical surveys represent an important source of scientific knowledge and a valid decision support tool in many fields, from social studies to economics, market research, health studies, and others. Scientists have tackled most of the methodological issues concerning surveys and the scientific literature offers excellent proposals for planning and conducting surveys. Nevertheless, surveys often require the achievement of aims that either deviate from the methodology or do not have a specific solution at all.

This book focuses on survey theory and applications, providing insight and innovative solutions to face problems in data collection and integration, complex sample design, opinion questionnaire design, and statistical estimation.

Formal rigour and simple language, together with real-life examples, will make the book suitable to both practitioners involved in applied research and to academics interested in scientific developments in the survey field.

Content:
Front Matter....Pages i-xii
Front Matter....Pages 1-1
Surveys: Critical Points, Challenges and Need for Development....Pages 3-18
Front Matter....Pages 19-19
Measurement Scales for Scoring or Ranking Sets of Interrelated Items....Pages 21-43
Assessing Multi-Item Scales for Subjective Measurement....Pages 45-59
Statistical Tools in the Joint Analysis of Closed and Open-Ended Questions....Pages 61-72
The Use of Self-Anchoring Scales in Social Research: The Cantril Scale for the Evaluation of Community Action Orientation....Pages 73-85
Front Matter....Pages 87-87
Small Area Estimation of Poverty Indicators....Pages 89-101
Non-Sampling Errors in Household Surveys: The Bank of Italy’s Experience....Pages 103-118
Front Matter....Pages 119-119
Enriching a Large-Scale Survey from a Representative Sample by Data Fusion: Models and Validation....Pages 121-137
A Business Survey on Job Vacancies: Integration with Other Sources and Calibration....Pages 139-152
Back Matter....Pages 153-155

Statistical surveys represent an important source of scientific knowledge and a valid decision support tool in many fields, from social studies to economics, market research, health studies, and others. Scientists have tackled most of the methodological issues concerning surveys and the scientific literature offers excellent proposals for planning and conducting surveys. Nevertheless, surveys often require the achievement of aims that either deviate from the methodology or do not have a specific solution at all.

This book focuses on survey theory and applications, providing insight and innovative solutions to face problems in data collection and integration, complex sample design, opinion questionnaire design, and statistical estimation.

Formal rigour and simple language, together with real-life examples, will make the book suitable to both practitioners involved in applied research and to academics interested in scientific developments in the survey field.

Content:
Front Matter....Pages i-xii
Front Matter....Pages 1-1
Surveys: Critical Points, Challenges and Need for Development....Pages 3-18
Front Matter....Pages 19-19
Measurement Scales for Scoring or Ranking Sets of Interrelated Items....Pages 21-43
Assessing Multi-Item Scales for Subjective Measurement....Pages 45-59
Statistical Tools in the Joint Analysis of Closed and Open-Ended Questions....Pages 61-72
The Use of Self-Anchoring Scales in Social Research: The Cantril Scale for the Evaluation of Community Action Orientation....Pages 73-85
Front Matter....Pages 87-87
Small Area Estimation of Poverty Indicators....Pages 89-101
Non-Sampling Errors in Household Surveys: The Bank of Italy’s Experience....Pages 103-118
Front Matter....Pages 119-119
Enriching a Large-Scale Survey from a Representative Sample by Data Fusion: Models and Validation....Pages 121-137
A Business Survey on Job Vacancies: Integration with Other Sources and Calibration....Pages 139-152
Back Matter....Pages 153-155
....