Results 101 to 110 of about 14,292 (206)

Reconceptualizing Survey Representativeness for Evaluating and Using Nonprobability Samples [PDF]

open access: yesSurvey Practice, 2013
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

Quantifying and mitigating selection bias in probability and nonprobability samples

open access: yes, 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.
openaire   +1 more source

Estimating response propensities in nonprobability surveys using machine learning weighted models [PDF]

open access: yes
Propensity Score Adjustment (PSA) is a widely accepted method to reduce selection bias in nonprobability samples. In this approach, the (unknown) response probability of each individual is estimated in a nonprobability sample, using a reference ...
Cobo, Beatriz   +3 more
core   +1 more source

EFEKTIFITAS COGNITIVE BEHAVIOURAL EDUCATIONAL INTERVENTION PADA PASIEN POST TRANS URETHERAL RESECTION OF THE PROSTATE DI RS PKU MUHAMMADIYAH BANTUL

open access: yesJunal Kebidanan Dan Keperawatan Aisyiyah, 2016
This research aimed to show the effectiveness cognitive behavioural educational intervention (CBEI) in post trans urethral resection of the prostate in PKU Muhammadiyah Bantul Hospital.
Wantonoro Wantonoro, M Dahlan
doaj  

Implementasi Kepemimpinan, Motivasi, dan Budaya Organisasi Kaitannya dengan Profesionalisme Karyawan Tetap

open access: yesJurnal Ekonomi Akuntansi dan Manajemen, 2019
This study has two objectives. First, describe the implementation of leadership, motivation, and organizational culture in relation to the professionalism of permanent employees.
Aditya Wisnu Wardhana   +2 more
doaj   +1 more source

The social determinants of health and subjective wellbeing: a comparison of probability and nonprobability online panels [PDF]

open access: yes, 2018
As response rates to surveys decline all over the world, researchers are increasingly turning to sampling frames that are easier and cheaper to reach, and that have more predictable response rates.
Sheppard, Jill   +2 more
core  

Sampling Methods for Web and E-mail Surveys [PDF]

open access: yes, 2012
This chapter is a comprehensive overview of sampling methods for web and e-mail (‘Internetbased’) surveys. It reviews the various types of sampling method – both probability and nonprobability – and examines their applicability to Internet-based surveys.
Fricker, Ronald D. Jr.
core   +1 more source

Talking across the divide: English teachers respond to the NCEA.

open access: yes, 2005
The implementation of the National Certificate of Educational Achievement as a single, senior secondary school qualification in New Zealand has been a fraught process marked by a good deal of acrimonious debate. This article reports on a research project
Locke, Terry
core  

Combining Probability and Nonprobability Samples on an Aggregated Level

open access: yesJournal of Official Statistics
Probability surveys are experiencing important drawbacks nowadays: costs are relatively high and participation rates are decreasing, which could yield less accurate estimates. Alternatively, nonprobability samples like administrative records are having a rise in popularity due to their convenience and low costs.
Sofía F. Villalobos Aliste   +2 more
openaire   +1 more source

Comparing Alternatives for Estimation from Nonprobability Samples

open access: yesJournal 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.
openaire   +1 more source

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