DATA QUALITY IN CROSS-NATIONAL SURVEY. The Quality Indicators Response Rate, Nonresponse Bias and Fieldwork Efforts
Author(s)
Halbherr, VerenaKeywords
2.1.1 Survey sampling2.1.2 Qualitative sampling
2.1.3 Probability sampling methods
2.1.4 Non-probability sampling
2.1.5 Respondent Driven
2.1.6 Sampling (RDS)
2.1.7 Distance sampling
2.2.1 Hard to reach populations
2.2.2 Excluded/marginalised populations
2.2.3 Gatekeepers
2.3.1 Questionnaire design
2.3.2 Pretesting questionnaire
2.3.3 Cognitive testing
2.3.4 Face-to-face survey interview
2.3.5 Telephone/video call survey interview
2.3.6 Self-completed questionnaire
2.3.7 Postal questionnaire
2.3.8 Online questionnaire
2.3.9 Open-ended questions
2.3.10 Assessment instruments
2.3.11 Design of scales
2.5.1 Qualitative interview design
2.5.2 Focus groups
2.5.3 Face-to-face qualitative interviewing
2.5.4 Qualitative telephone/video call interviewing
2.5.5 Email/online qualitative interviews
2.5.6 Self-interviews
2.5.7 Walking interviews
2.5.8 Vignettes
2.5.9 Recording interviews
2.5.10 Videoing interviews
2.5.11 Unstructured interviews
2.5.12 Semi-structured interviews
2.5.13 Structured interviews
2.5.14 Transcribing
2.6.1 Structured observation
2.6.2 Unstructured/ ethnographic observation
2.6.3 Real time and video observation
2.6.4 Participant observation
2.6.5 Non-participant observation
2.6.6 Mass observation
2.6.7 Laboratory observation
2.9.1 Arts-based methods
2.9.2 Photographic research
2.9.3 Video research
2.10.1 Kineikonic mode
2.11.1 Big data
2.11.2 Mobile digital data
2.11.3 Online communities
2.11.4 Social media data
2.1 Sampling
2.2 Participant Recruitment
2.3 Survey and Questionnaire Design
2.4 Diary Methods
2.5 Qualitative Interviewing
2.6 Observation
2.7 Biometric Data Collection
2.8 Delphi Technique
2.9 Visual Methods
2.10 Multimodal Research
2.11 Online Data Collection
2.12 Data Collection (other)
3.1.1 Data archiving
3.1.2 Data governance
3.1.3 Data management plans
3.1.4 Data security
3.1.5 Encryption
3.1.6 File-sharing
3.1.7 Information management
3.1.8 Sensitive data
3.2.1 Catalytic validity
3.2.2 Reflexivity
3.2.3 Transparency
3.2.4 Trustworthiness
3.3.1 Reliability
3.3.2 Validity
3.3.3 Total survey error
3.3.4 Evaluation of research
3.4.1 Random measurement error
3.4.2 Systematic measurement error
3.4.3 Mode effects
3.4.4 Multitrait multimethod
3.4.5 Satisficing
3.5.1 Variable recoding
3.6.1 Missing data
3.6.2 Unit nonresponse
3.6.3 Item nonresponse
3.6.4 Imputation
3.6.5 Weighting
3.1 Data Management
3.2 Quality in Qualitative Research
3.3 Quality in Quantitative Research
3.4 Measurement Error
3.5 Data Editing
3.6 Nonresponse
3.7 Statistical Disclosure Control
3.8 Data Quality and Data Management (other)
1.1.1 Philosophy of social science
1.1.2 Critical theory
1.1.3 Feminist methods
1.1.4 Humanistic methods
1.1.5 Interpretivism
1.1.6 Positivism
1.1.7 Postmodernism
1.1.8 Poststructuralism
1.5.1 Cross-national research
1.5.2 Cross-cultural research
1.5.3 Comparative research
1.5.4 Historical comparative research
1.7.1 Repeated cross-sections
1.8.1 Panel survey
1.8.2 Cohort study
1.8.3 Qualitative longitudinal research (QLR)
1.8.4 Mixed methods longitudinal research
1.9.1 Experimental design
1.9.2 Laboratory studies
1.9.3 Randomized Control Trials (RCT)
1.10.1 Case-control studies
1.10.2 Difference-in-differences (DID)
1.10.3 Paired comparison
1.10.4 Instrumental variables
1.10.5 Regression discontinuity
1.10.6 Twin studies
1.11.1 Policy evaluation
1.11.2 Consumer satisfaction
1.11.3 Theory of change methods
1.14.1 Child-led research
1.14.2 Emancipatory research
1.14.3 Inclusive research
1.14.4 Indigenous methodology
1.14.5 Participatory Action Research (PAR)
1.14.6 User engagement
1.15.1 Participatory Action Research (PAR)
1.18.1 Mantel-Haenszel methods
1.20.1 Archival research
1.20.2 Documentary research
1.20.3 Analysis of official statistics
1.20.4 Analysis of existing survey data
1.20.5 Analysis of administrative data
1.20.6 Analysis of secondary qualitative data
1.21.1 Online qualitative fieldwork
1.21.2 Analysis of social media
1.21.3 Big data analytics
1.21.4 Online experimental research
1.22.1 Multi-strategy research
1.22.2 Mixing qualitative and quantitative approaches
1.22.3 Convergent designs
1.22.4 Embedded designs
1.22.5 Multiphase designs
1.22.6 Parallel designs
1.24.1 Hypothesis testing research
1.24.2 Intervention studies
1.1 Epistemology
1.2 Descriptive Research
1.3 Exploratory Research
1.4 Explanatory Research and Causal analysis
1.5 Comparative and Cross National Research
1.6 Survey Research
1.7 Cross-Sectional Research
1.8 Longitudinal Research
1.9 Experimental Research
1.10 Quasi-Experimental Research
1.11 Evaluation Research
1.12 Case Study
1.13 Pilot Study
1.14 Participatory Research
1.15 Action Research
1.16 Ethnographic Research
1.17 Behavioural Research
1.18 Meta-Analysis
1.19 Systematic Review
1.20 Secondary Analysis
1.21 Digital Social Research
1.22 Mixed Methods
1.23 Interdisciplinary and Multidisciplinary Research
1.24 Frameworks for Research and Research Designs (other)
8.1.1 Change management
8.1.2 Performance management
8.1.3 Leading and chairing meetings
8.1.4 Staff management
8.1.5 Time management
8.1.6 Recruitment and selection
8.1.7 Coaching and mentoring skills
8.7.1 Client or user relationship
8.8.1 Copyright
8.8.2 Data protection
8.8.3 Intellectual property
8.8.4 Plagiarism
8.8.5 Research governance
8.1 Research and Project Management
8.2 Confidentiality and Anonymity
8.3 Research Ethics
8.4 Research Policy
8.5 Evidence-Based Policy and Practice
8.6 Management of User Involvement
8.7 Consultancy Skills
8.8 Regulatory and Legal Aspects
8.9 Research Management and Impact (other)
Full record
Show full item recordDate
2016-07-05Type
Conference or Workshop ItemIdentifier
oai:generic.eprints.org:3830http://eprints.ncrm.ac.uk/3830/1/Halbherr_Bath_final_2016_07_03.pdf
Halbherr, Verena (2016) DATA QUALITY IN CROSS-NATIONAL SURVEY. The Quality Indicators Response Rate, Nonresponse Bias and Fieldwork Efforts. In: NCRM Research Methods Festival 2016, 5th - 7th July 2016, University of Bath. (Unpublished)
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