Comparing the health of non-binary and binary transgender adults in a statewide non-probability sample. [PDF]
PLoS ONE, 2019 BackgroundIn the U.S., non-binary refers to transgender people who have a gender identity not aligned with their assigned sex at birth, and who identify outside of the traditional male-female binary, such as genderqueer, genderfluid, or gender ...
Sari L Reisner, Jaclyn M W Hughto
doaj +3 more sources
An Approach to Integrating a Non-Probability Sample in the Population Census
Mathematics, 2023 Population censuses are increasingly using administrative information and sampling as alternatives to collecting detailed data from individuals. Non-probability samples can also be an additional, relatively inexpensive data source, although they require ...
Ieva Burakauskaitė, Andrius Čiginas
doaj +3 more sources
Social and Medical Gender Affirmation Experiences Are Inversely Associated with Mental Health Problems in a U.S. Non-Probability Sample of Transgender Adults. [PDF]
Arch Sex Behav, 2020 A dearth of research has explored concurrently the associations between multiple forms of gender affirmation (or transitioning) and the mental health of transgender adults. In 2015, 288 U.S.
Hughto JMW +3 more
europepmc +2 more sources
On valid descriptive inference from non-probability sample [PDF]
Statistical Theory and Related Fields, 2019 We examine the conditions under which descriptive inference can be based directly on the observed distribution in a non-probability sample, under both the super-population and quasi-randomisation modelling approaches.
Li-Chun Zhang
doaj +2 more sources
Social disconnectedness and depressive symptoms across age groups: findings from a non-probability sample of employed U.S. adults [PDF]
Frontiers in Public HealthBackgroundRates of social disconnectedness and depression have intensified in recent years. Yet, little is known about how they relate to one another across different age groups.
Moka Yoo-Jeong +8 more
doaj +2 more sources
On using a non-probability sample for the estimation of population parameters
Lietuvos Matematikos Rinkinys, 2023 We aim to find a way to effectively integrate a non-probability (voluntary) sample under the data framework, where the study variable is also observed in a probability sample of some statistical survey.
Ieva Burakauskaitė, Andrius Čiginas
doaj +6 more sources
Estimating General Parameters from Non-Probability Surveys Using Propensity Score Adjustment
Mathematics, 2020 This study introduces a general framework on inference for a general parameter using nonprobability survey data when a probability sample with auxiliary variables, common to both samples, is available.
Luis Castro-Martín +2 more
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Combining non‐probability and probability survey samples through mass imputation [PDF]
Journal of the Royal Statistical Society Series A: Statistics in Society, 2018 Analysis of non‐probability survey samples requires auxiliary information at the population level. Such information may also be obtained from an existing probability survey sample from the same finite population. Mass imputation has been used in practice
Jae Kwang Kim +3 more
semanticscholar +6 more sources
Validating an Index of Selection Bias for Proportions in Non‐Probability Samples
International Statistical ReviewFast online surveys without sampling frames are becoming increasingly important in survey research. Their recruitment methods result in non‐probability samples.
Angelina Hammon, Sabine Zinn
semanticscholar +4 more sources
Probability and non-probability samples: Improving regression modeling by using data from different sources [PDF]
Information Sciences, 2022 Non-probability sampling, for example in the form of online panels, has become a fast and cheap method to collect data. While reliable inference tools are available for classical probability samples, non-probability samples can yield strongly biased ...
G. Tutz
semanticscholar +1 more source