Results 111 to 120 of about 3,197 (211)

Thresholding nonprobability units in combined data for efficient domain estimation

Quasi-randomization approaches estimate latent participation probabilities for units from a nonprobability / convenience sample. Estimation of participation probabilities for convenience units allows their combination with units from the randomized ...
Beresovsky, Vladislav, Savitsky, Terrance D., Gershunskaya, Julie, Williams, Matthew R.   +3 more
core   +1 more source

The Role of Customer Satisfaction Mediates the Effect of Responsiveness on Repurchase Intention through Tokopedia in Denpasar and Badung Cities

Management Analysis Journal
The purpose of this study was to analyze the role of customer satisfaction in mediating the effect of responsiveness on repurchase intention through Tokopedia in Denpasar and Badung Cities.
Ardiella Myra Ananda, I Gst. Ngurah Jaya Agung Widagda K   +1 more
doaj   +1 more source

Measuring Risk of Re-Identification for a Nonprobability Sample Using a General Reference Sample

Journal of Official Statistics
Estimating the risk of re-identification probabilistically is well-developed for the case of a random representative sample drawn from the general population, such as large-scale government surveys conducted regularly at National Statistical Institutes.
Natalie Shlomo, Minsun Riddles, Tom Krenzke   +2 more
openaire   +2 more sources

Poststratification for Facebook Surveys

, 2021
Exercise on multilevel regression and poststratification (MRP) for nonprobability samples, with respondents recruited on ...
Emanuele Del Fava
core  

Improving the Reliability of a Nonprobability Web Survey: Application to Measuring Gender Pay Gap

Nonprobability web surveys suffer from selection and coverage biases and are generally not representative of the target population. To carry out statistical modelling in a nonprobability web survey, we explore different methods of statistical adjustments
Shlomo, Natalie, Huang, Yinxuan
core   +1 more source

Inference for big data assisted by small area methods: an application on sustainable development goals sensitivity of enterprises in Italy [PDF]

In this study, we proposed a new method for estimating the sensitivity of enterprises in Italy to the United Nation's sustainable development goals at the provincial level using web-scraping data (a nonprobability sample) because this value is not ...
Gaia Bertarelli, Schirripa Spagnolo, Francesco, Pratesi, Monica, Scannapieco, Monica, Monica Pratesi, Nicola Salvati, Donato Summa, Salvati, Nicola, Marchetti, Stefano, Stefano Marchetti, Bertarelli, Gaia, Francesco Schirripa Spagnolo, Monica Scannapieco, Summa, Donato   +13 more
core   +1 more source

Bayesian Predictive Inference for Nonprobability Samples

, 2019
Generally, sampling methods are classified as either probability or non-probability. A probability sample is based on the mathematical theory of probability, assigning each individual in the population a known non-zero probability of selection.
Cao, Hanqi
core  

A Simulation Study to Compare the Bias and Efficiency of Sample Mean Obtained from Probability and Nonprobability Samples

Survey sampling techniques can be categorized into two types, which are namely probability and nonprobability sampling techniques. In probability sampling, each member of the population has a known, non-zero chance of being selected to a study.
Oral, E., Zeng, Chaoyi, Mazumder, Harun, Grunblatt, Sarah   +3 more
core  

Correction for Participation Bias in Nonprobability Samples Using Multiple Reference Surveys. [PDF]

Stat Med
Landsman V, Wang L, Carrillo-Garcia I, Mitani AA, Smith PM, Graubard BI, Bui T, Carnide N.   +7 more
europepmc   +1 more source

A two-step approach to simultaneously correct for selection and misclassification bias in nonprobability samples from hard-to-reach populations. [PDF]

Am J Epidemiol
Dharma C, Dharma C, Smith P, Salway T, Gesink D, Escobar M, Landsman V.   +6 more
europepmc   +1 more source