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Nonprobability Sampling in Social Work Research
Journal of Social Service Research, 2004This study critically reviews sampling procedures commonly found in social work research. Through a Monte Carlo study simulating conditions of probability and nonprobability sampling procedures, the study demonstrates consequences of using nonprobability sampling procedures and identifies conditions under which researchers should examine the issue ...
Shenyang Guo, David L. Hussey
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Nonprobability and Probability-Based Sampling Strategies in Sexual Science
The Journal of Sex Research, 2015With few exceptions, much of sexual science builds upon data from opportunistic nonprobability samples of limited generalizability. Although probability-based studies are considered the gold standard in terms of generalizability, they are costly to apply to many of the hard-to-reach populations of interest to sexologists.
Catania, Joseph +3 more
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Nonprobability Sampling and Twitter
Social Science Computer Review, 2017Twitter data are widely used in the social sciences. The Twitter Application Programming Interface (API) allows researchers to build large databases of user activity efficiently. Despite the potential of Twitter as a data source, less attention has been paid to issues of sampling, and in particular, the implications of different sampling strategies on
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Sample Surveys: Nonprobability Sampling
2001Nonprobability sampling describes any method for collecting survey data which does not utilize a full probability sampling design. Nonprobability samples are usually cheaper and easier to collect than probability samples. However, there are a number of drawbacks.
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Bayesian inference for nonprobability samples with nonignorable missingness
Statistical Analysis and Data Mining: The ASA Data Science JournalAbstractNonprobability samples, especially web survey data, have been available in many different fields. However, nonprobability samples suffer from selection bias, which will yield biased estimates. Moreover, missingness, especially nonignorable missingness, may also be encountered in nonprobability samples.
Zhan Liu +3 more
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New data strategies: nonprobability sampling, mobile, big data
Quality Assurance in Education, 2018Purpose Researchers now have more ways than ever before to capture information about groups of interest. In many areas, these are augmenting traditional survey approaches – in others, new methods are potential replacements. This paper aims to explore three key trends: use of nonprobability samples, mobile data collection and administrative and “big ...
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Nonprobability Sampling in Quantitative Research
2023Michelle Newhart, Mildred L. Patten
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