Results 241 to 250 of about 2,499,937 (274)

Sampling: bridging probability and non-probability designs

International Journal of Social Research Methodology, 2013
This article reconceptualizes sampling in social research. It is argued that three inter-related a priori assumptions limit on the possibility of sample design, namely: (a) the ontology of the case, (b) the epistemological assumptions underpinning what properties are necessary to know the case and (c) the logistics involved in the process of ‘casing ...
E. Uprichard
semanticscholar   +2 more sources

For What Applications Can Probability and Non-Probability Sampling Be Used?

Environmental Monitoring and Assessment, 2001
Almost any type of sample has some utility when estimating population quantities. The focus in this paper is to indicate what type or combination of types of sampling can be used in various situations ranging from a sample designed to establish cause-effect or legal challenge to one involving a simple subjective judgment.
H. Schreuder, T. Gregoire, J. Weyer
semanticscholar   +3 more sources

The Importance of Non-Probability Samples in Minority Health Research: Lessons Learned from Studies of Transgender and Gender Diverse Mental Health

Transgender Health, 2022
Non-probability sampling methods utilize nonrandom research participant selection, which may generate study samples that are not representative of the general population.
J. Turban, A. Almazan, S. Reisner, A. Keuroghlian   +3 more
semanticscholar   +1 more source

Comparing Inference Methods for Non‐probability Samples

International Statistical Review, 2018
SummarySocial and economic scientists are tempted to use emerging data sources like big data to compile information about finite populations as an alternative for traditional survey samples. These data sources generally cover an unknown part of the population of interest.
Bart Buelens, Joep Burger, Jan A. van den Brakel   +2 more
openaire   +2 more sources

Effects of sampling intensity and non-slide/slide sample ratio on the occurrence probability of coseismic landslides

, 2020
Due to the influence of sampling strategy, the resulting probability of landslides using logistic regression (LR) can deviate considerably from the actual areal percentage of coseismic landslides.
Xiaoyi Shao, Si-yuan Ma, Chong Xu, Qing Zhou   +3 more
semanticscholar   +1 more source

Non-probability Survey Samples

2020
We provide an overview of the emerging topic of non-probability survey samples which has drawn increased attention in the fields of survey methodology and official statistics. We highlight some of the issues in analyzing non-probability survey samples and present some of the methodological advances that have appeared in recent years.
Changbao Wu, Mary E. Thompson
openaire   +1 more source

Tracing Selection Effects in Three Non-Probability Samples

European Addiction Research, 2005
Snowball sampling and targeted sampling are widely applied techniques to recruit samples from hidden populations, such as problematic drug users. The disadvantage is that they yield non-probability samples which cannot be generalised to the population. Despite thorough preparatory mapping procedures, selection effects continue to occur.
Cas, Barendregt, Agnes, van der Poel, Dike, van de Mheen   +2 more
openaire   +2 more sources

Uncertainty in Sampling Designs for Non-probability Samples

Non-probability samples involve some form of arbitrary selection of units into the sample, and, as a matter of fact, inclusion probabilities are unknown. Hence, it is not possible to apply probability randomization theory to make inference about the finite population parameters.
Pier Luigi Conti, Daniela Marella
openaire   +2 more sources

Doubly robust estimation for non-probability samples with heterogeneity

Journal of Computational and Applied Mathematics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhan Liu, Yi Sun, Yong Li, Yuanmeng Li
openaire   +1 more source

Non-probability Sampling

2023
Amber Wutich, H. Russell Bernard
openaire   +2 more sources