Seminario

NUEVAS METODOLOGÍAS EN LA RECOGIDA DE DATOS, DISEÑO DE CUESTIONARIOS Y CALIDAD EN LAS ENCUESTAS / DATUAK JASOTZEKO, GALDESORTAK DISEINATZEKO ETA INKESTEN KALITATERAKO METODOLOGIA BERRIAK / NEW TECHNOLOGIES IN DATA COLLECTION, QUESTIONNAIRE DESIGN AND QUALITY

CONTENTS

1. INTRODUCTION (11)
2. SURVEY QUALITY (12)
   1. What is Quality (12)
      • Eurostat’s quality dimensions (12)
   2. Quality in Surveys (13)
   3. Cornerstones of Survey Data Quality (14)
      • Breaking the ground: Specification of Research Question (14)
      • Placing the Corner Stones: Coverage, Sampling, Non-Response, and Measurement (16)
   4. Quality Control (18)
   5. Suggested Readings and Websites (20)
3. MODES OF DATA COLLECTION (22)
   1. Main Modes of Data Collection (22)
   2. Practical Advantages and Disadvantages (22)
      • Coverage: Population of interest and sample control (22)
      • Nonresponse (24)
      • Questionnaire: Question type and complexity of instrument (25)
      • Questionnaire: Questionnaire length and duration of interview (26)
      • Resources available: Completion time, organization, personnel, and costs (26)
   3. Data Quality (27)
      • Mail, Telephone, and Face-to-face Surveys (27)
      • Computer-assisted modes (28)
   4. Mixed-Modes Data Collection (29)
   5. Summary (30)
   6. Suggested Readings and Websites (30)
4. NEW TECHNOLOGIES AND DATA QUALITY: A REVIEW OF THE EVIDENCE (32)
   1. New Technologies and Data Collection (32)
   2. Survey Data quality and Computer-Assisted Interviewing (34)
      • Potential for Improving Technological Data Quality (35)
      • Potential for Improving Methodological Data Quality (36)
      • Potential for Increased Timeliness and Reduced Costs (37)
   3. Empirical Evidence for Improved Quality: Technological Quality and Costs(37)
      • Technological Data Quality (37)
      • Timeliness and Costs (38)
   4. Empirical Evidence for Improved Quality: Acceptance of New Technology and Methodological Data Quality (40)
      • Acceptance of New Technology (40)
      • Methodological Data Quality (41)
   5. Summary (43)
   6. Suggested Readings and Websites (45)
5. Summary