Results 101 to 110 of about 3,197 (211)
Descriptive inference using large, unrepresentative nonprobability samples: An introduction for ecologists [PDF]
, 2023 \ua9 2023 The Authors. Ecology published by Wiley Periodicals LLC on behalf of The Ecological Society of America. Biodiversity monitoring usually involves drawing inferences about some variable of interest across a defined landscape from observations ...
Pescott OL, Stewart GB, Boyd RJ
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Quantifying and mitigating selection bias in probability and nonprobability samples
, 2023 The field of survey research has undergone dramatic transformation in the last decade, driven by declining response rates, fracturing contactability landscapes, the rise of online nonprobability surveys, and simultaneously, increased reliance of data in decision-making.
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Sampling Methods and Sample Populations in Quantitative Mass Communication Research Studies: A 15-Year Census of Six Journals [PDF]
, 2017 This study evaluated the sampling methods and sample populations used in all U.S.-based survey and experimental mass communication studies published between 2000 and 2014 in six major journals (N = 1,173).
Brock Ternes +9 more
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Bayesian Integration of Probability and Nonprobability Samples for Logistic Regression [PDF]
Probability sample (PS) surveys are considered the gold standard for population-based inference but face many challenges due to decreasing response rates, relatively small sample sizes, and increasing costs. In contrast, the use of nonprobability sample (
Wiśniowski, Arkadiusz +4 more
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Possible Uses of Nonprobability Sampling for the Social Sciences
, 2019 This paper compares the usability of data stemming from probability sampling with data stemming from nonprobability sampling. It develops six research scenarios that differ in their research goals and assumptions about the data generating process.
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Comparing Alternatives for Estimation from Nonprobability Samples
Journal of Survey Statistics and Methodology, 2019 AbstractThree approaches to estimation from nonprobability samples are quasi-randomization, superpopulation modeling, and doubly robust estimation. In the first, the sample is treated as if it were obtained via a probability mechanism, but unlike in probability sampling, that mechanism is unknown.
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Quantifying and mitigating selection bias in probability and nonprobability samples
The field of survey research has undergone dramatic transformation in the last decade, driven by declining response rates, fracturing contactability landscapes, the rise of online nonprobability surveys, and simultaneously, increased reliance of data in ...
Bradley, Valerie Campbell
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Equilibrium: Jurnal Ilmiah Ekonomi, Manajemen dan AkuntansiABSTRAK Bisnis harus mengikuti perkembangan zaman, salah satu kewajiban perusahaan adalah membuat suasana toko semenarik mungkin. Tujuannya adalah mendapatkan loyalitas pelanggan dan memiliki kemampuan untuk mempengaruhi Keputusan Pembelian pelanggan ...
Alfin Arwani +3 more
doaj +1 more source
, 2009 External validity is fundamental to veterinary diagnostic investigation, reflecting the accuracy with which sample results can be extrapolated to a broader population of interest.
Esther Richardson +3 more
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Economic Education Analysis Journal, 2014 Tujuan dari penelitian ini adalah untuk mengetahui adanya pengaruh kemampuan kerja pegawai, etos kerja dan semangat terhadap kualitas pelayanan di kantor kecamatan Sale kabupaten Rembang secara simultan maupun parsial. Populasi dari penelitian ini adalah
Nur Afifah
doaj