Download presentation
Presentation is loading. Please wait.
Published bySamson Heaston Modified over 9 years ago
1
Keystroke analysis and implications for fieldwork WP3.3 – task 2 Johanna Bristle (SHARE, MEA) Verena Halbherr (ESS, GESIS) DASISH Final Conference – Gothenburg, 28 th Nov 2014
2
Introduction 2 Tools produce paradata, e.g. Fieldwork Monitoring Application produces contact data (task 1 of WP3.3) Goal of 3.3 - task 2: Analysing one type of paradata, namely SHARE keystroke data and ESS time stamp data Inform cross-national fieldwork & derive lessons learned Definition: Paradata = data about the process of data collection Keystroke data = actions on a keyboard and time stamps for each action taken are recorded and extracted
3
Deliverable D3.7 Structure of deliverable Description of data and preparation Diagnostic of keystrokes Outliers and distribution Measuring interview length Using keystrokes in a survey`s life-cycle Questionnaire development Fieldwork monitoring Post-survey quality assessment Available on the website of DASISH beginning of 2015 Today: comparing the two surveys 3 Focus of poster Focus of this presentation
4
Interview length Concept of interview length Perspective of questionnaire development vs. interviewer and respondent 4
5
Measurement error in time stamps Paradata is far from error-free Technical errors or breaks produce outliers or missing data Reporting error if interviewer is involved (rounding) 5
6
Cross-national interview length 6 Notes: SHARE: own analysis on panel single households in wave 5 ESS: Analysis by Loosveldt & Beullen 2013. round 5, all respondents.
7
Conclusions 1.Computerized data collection avoids interviewer-induced measurement error Data quality of paradata data quality of survey data 2.Cross-national & cross-survey comparison Beyond survey-specific reasons (topic) „Local survey culture“ (language) Potential of paradata Pretest: check quality of new items During fieldwork: real-time monitoring and interventions Post-survey analysis: survey methodology & enhancing survey items Harmonization in terms of documentation, dissemination and tool development produces useful para- and metadata 7
8
Further reading and references DASISH Deliverable 3.7 (forthcoming). Keystroke analysis and implications for field work. It will be available on www.dasish.eu/deliverables Loosveldt, G. and K. Beullens (2013). "'How long will it take?' An analysis of interview length in the fifth round of the European Social Survey." Survey Research Methods 7(2): 69-78. Kreuter, F. (2013). Improving Surveys with Paradata: Analytic Uses of Process Information. Hoboken, New Jersey, John Wiley & Sons. 8
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.