A Study of Non-probability Sampling Methodology in Sample Surveys

2017 ◽  
Vol 18 (1) ◽  
pp. 1-29
Author(s):  
Kyu-Seong Kim
Keyword(s):  
Sample Surveys ◽  
Sampling Methodology ◽  
Probability Sampling

PENGARUH AKUNTABILITAS DAN KOMPETENSI AUDITOR/PENGAWAS PEMERINTAH TERHADAP KUALITAS AUDIT

2018 ◽  
Vol 1 (1) ◽  
pp. 14-26
Author(s):  
Endang Sri Rahayu Ohoimas ◽  
Agustinus Salle ◽  
Sylvia Christina Daat
Keyword(s):  
Decision Making ◽  
Working Process ◽  
Sampling Methodology ◽  
Probability Sampling ◽  
Purposive Sampling ◽  
Social Obligation

Auditors’ decision making is affected by their accountability in concluding their audit working process that required highly competences which can be gained through their sufficient experiences in the audit field. This research is aim to examine the influence of accountability and competence of auditors/government supervisory on the quality of audit. As population in this research is 47 people of Employees who work in Provincial Inspectorate Office of Papua and Inspectorate office of Jayapura City which involved in the examination as the Auditors/Supervisory of Government. A non-probability sampling methodology is used based on the certain criteria (purposive sampling) for distributing 47 questionnaires to the Auditors/Supervisory of Government. The result of this research indicate that the devotion in profession has a significant effect on the quality of audit, while social obligation has a significant effect on the quality of audit. Similarly, the knowledge and working experiences have significant effects on the quality of an audit respectively.

scholarly journals A Review on Issues of Settling the Sample-size in Surveys: Two Approaches—Equal and Varying Probability Sampling—Crises in Sensitive Cases

2020 ◽  
Vol 72 (1) ◽  
pp. 7-16
Author(s):  
Arijit Chaudhuri
Keyword(s):  
Sample Size ◽  
Random Sampling ◽  
Classical Problem ◽  
Simple Random Sampling ◽  
Sample Surveys ◽  
Probability Sampling ◽  
Chebyshev’S Inequality ◽  
Sensitive Issues ◽  
Chebyshev's Inequality

“How many units to take in a sample to choose” is a classical problem in sample surveys addressed by numerous predecessors. Chebyshev’s inequality provides a tool in simple random sampling as may as well be extended to varying probability sampling. Two approaches are presented. But critically, in indirect surveys to cover sensitive issues, problems seem to be insurmountable, as illustrated.

An Evaluation of Model-Dependent and Probability-Sampling Inferences in Sample Surveys: Rejoinder

1983 ◽  
Vol 78 (384) ◽  
pp. 805 ◽  
Author(s):  
Morris H. Hansen ◽  
William G. Madow ◽  
Benjamin J. Tepping
Keyword(s):  
Sample Surveys ◽  
Probability Sampling

An Evaluation of Model-Dependent and Probability-Sampling Inferences in Sample Surveys

1983 ◽  
Vol 78 (384) ◽  
pp. 776-793 ◽  
Author(s):  
Morris H. Hansen ◽  
William G. Madow ◽  
Benjamin J. Tepping
Keyword(s):  
Sample Surveys ◽  
Probability Sampling
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