Results 31 to 40 of about 2,064 (154)
Reconceptualizing Survey Representativeness for Evaluating and Using Nonprobability Samples [PDF]
A question in recent times has been the quality of surveys using nonprobability samples. This paper approaches measurement accuracy by reconceptualizing representativeness. This approach can be used for all samples, probability or not. Current survey designs aim for representative samples with the implicit assumptions that representativeness belongs to
openaire +1 more source
The convenience of nonprobability: Survey strategies for small academic libraries
Recent research on how college students use libraries has raised some interesting questions for academic librarians. Data from the report “College Students’ Perceptions of Libraries and Information Resources: A Report to the OCLC Membership” illuminates how college students from around the world view libraries and what they want from libraries.
Dolores Skowronek, Larry Duerr
openaire +2 more sources
In scientific studies with low-prevalence outcomes, probability sampling may be supplemented by nonprobability sampling to boost the sample size of desired subpopulation while remaining representative to the entire study population. To utilize both probability and nonprobability samples appropriately, several methods have been proposed in the ...
Wenna Xi +6 more
openaire +2 more sources
BackgroundSpain has been one of the countries most impacted by the COVID-19 pandemic. Since the first confirmed case was reported on January 31, 2020, there have been over 405,000 cases and 28,000 deaths in Spain.
Oliver, Nuria +3 more
doaj +1 more source
BackgroundIn rapidly changing fields such as the study of drug use, the need for accurate and timely data is paramount to properly inform policy and intervention decisions.
Black, Joshua Curtis +7 more
doaj +1 more source
Doubly Robust Inference With Nonprobability Survey Samples [PDF]
We establish a general framework for statistical inferences with non-probability survey samples when relevant auxiliary information is available from a probability survey sample. We develop a rigorous procedure for estimating the propensity scores for units in the non-probability sample, and construct doubly robust estimators for the finite population ...
Chen, Yilin, Li, Pengfei, Wu, Changbao
openaire +2 more sources
Innovative Minds, Sharing Hesitations: Open Innovation Meets Green Entrepreneurship
ABSTRACT This study examines the relationships between innovative thinking tendency, knowledge hiding behavior within organizations, open innovation, and green entrepreneurship among employees in technology firms. Data collected from 386 participants were analyzed using cluster analysis and structural equation modeling.
Ebru Polat
wiley +1 more source
ABSTRACT This research develops and empirically validates the Community‐Oriented Marketing Approach (COMA), a 20‐item multidimensional scale designed to measure prosumer perceptions within participatory market systems. COMA conceptualizes prosumers as active co‐value creators and institutional agents, driving sustainable market governance.
Alpaslan Kelleci, Oguzhan Essiz
wiley +1 more source
ABSTRACT Cosmetics production and consumption, which have been growing steadily in recent years, are associated with a number of negative environmental, moral, and health impacts. This study examines the influence of cosmetics producers' corporate social responsibility (CSR) communication on the formation of purchase intention among Czech consumers ...
Libena Tetrevova +4 more
wiley +1 more source
Pseudo empirical likelihood inference for nonprobability survey samples
AbstractIn this article, we first provide an overview of two major developments on complex survey data analysis: the empirical likelihood methods and statistical inference with nonprobability survey samples. We highlight the important research contributions to the field of survey sampling in general and the two topics in particular by Canadian survey ...
Yilin Chen +3 more
openaire +2 more sources

