Estimation for Volunteer Panel Web Surveys Using Propensity Score Adjustment and Calibration Adjustment

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Doubly Robust Inference With Nonprobability Survey Samples (2018, methodology): “The approaches described in Rivers (2007), Lee (2006), Lee and Valliant (2009) and Brick (2015) attempt to estimate π̃Ai = P (R̃i = 1 | xi), where R̃i = 1 if i ∈ SA and R̃i = 0 if i ∈ SB.”
Inference for Nonprobability Samples (2017, background): “However, identifying webographics that are useful beyond the standard demographics (age, race-ethnicity, sex, income and education) is difficult (Lee and Valliant, 2009).”
Online, face-to-face and telephone surveys—Comparing different sampling methods in wine consumer research (2013, background): “Thus, the current practice for creating a sample representative is to weight variables in respect to socio-demographic characteristics as well as different attitudes (Loosveldt and Sonck, 2008; Lee and Valliant, 2009).”
Combining non‐probability and probability survey samples through mass imputation (2018, result): “This framework was first used by Rivers (2007) and followed by a number of other authors, including Vavreck and Rivers (2008), Lee and Valliant (2009), Valliant and Dever (2011), Brick (2015), Elliott and Valliant (2017) and Chen et al.”