Hits 1-10 within 200 documents
Willingness to use mobile technologies for data collection in a probability household panel [journal article]
Source: Survey Research Methods, 13 (2019) 1. p.1-22
Participation in a mobile app survey to collect expenditure data as part of a large-scale probability household panel: coverage and participation rates and biases [journal article]
Source: Survey Research Methods, 13 (2019) 1. p.23-44
Tree-based Machine Learning Methods for Survey Research [journal article]
Source: Survey Research Methods, 13 (2019) 1. p.73-93
Hiding Sensitive Topics by Design? An Experiment on the Reduction of Social Desirability Bias in Factorial Surveys [journal article]
Source: Survey Research Methods, 13 (2019) 1. p.103-121
Exploring New Statistical Frontiers at the Intersection of Survey Science and Big Data: Convergence at "BigSurv18" [journal article]
Source: Survey Research Methods, 13 (2019) 1. p.123-135
Respondent burden in a Mobile App: evidence from a shopping receipt scanning study [journal article]
Source: Survey Research Methods, 13 (2019) 1. p.45-71
A Partially Successful Attempt to Integrate a Web-Recruited Cohort into an Address-Based Sample [journal article]
Source: Survey Research Methods, 13 (2019) 1. p.95-101
Within-household selection of target-respondents impairs demographic representativeness of probabilistic samples: evidence from seven rounds of the European Social Survey [journal article]
Source: Survey Research Methods, 13 (2019) 2. p.167-180
Capturing Multiple Perspectives in a Multi-actor Survey: The Impact of Parental Presence During Child Interviews on Reporting Discrepancies [journal article]
Source: Survey Research Methods, 13 (2019) 2. p.137-151
Can Nonprobability Samples be Used for Social Science Research? A cautionary tale [journal article]
Source: Survey Research Methods, 13 (2019) 2. p.215-227