Cluster Sampling Methods

2020 ◽  
pp. 123-188
Author(s):  
Adrian Barbu ◽  
Song-Chun Zhu
Keyword(s):  
Sampling Methods ◽  
Cluster Sampling

scholarly journals Peningkatan Public Trust dan Pengaruhnya Terhadap Kepatuhan Wajib Pajak di Provinsi Sulawesi Selatan

2018 ◽  
Vol 13 (2) ◽  
pp. 62
Author(s):  
Muhamad Thahir Haning ◽  
Hasniati ◽  
Mashuri H. Tahili
Keyword(s):  
Random Sampling ◽  
Sampling Methods ◽  
Public Trust ◽  
Cluster Sampling ◽  
Stratified Random Sampling ◽  
Multistage Cluster Sampling

<p>Artikel ini bertujuan untuk menganalisis dan menginterpretasi pengaruh model kepercayaan publik terhadap kepatuhan wajib pajak di Provinsi Sulawesi Selatan. Pendekatan penelitian menggunakan analisis kuantitatif dengan metode survey di tiga area Kantor Pelayanan Pajak yaitu Makassar Selatan, Maros, dan Palopo. Populasi dalam penelitian ini adalah wajib pajak  yang telah teregistrasi sebagai wajib pajak, baik pajak orang pribadi dan pajak badan sebanyak 2400 orang. Sampel penelitian menggunakan multistage cluster sampling methods untuk memastikan keterwakilan populasi. Penarikan sampel menggunakan metode stratified random sampling terhadap tiga area penelitian. Rumus Slovin digunakan untuk menetapkan jumlah sampel  sebesar 20% dengan pertimbangan karena populasi yang relatif besar dimana persentase kelonggaran ketelitian kesalahan pengambilan sampel yang masih  bisa ditolerir sebesar α=0,05. Dengan dasar tersebut, maka sampel dalam penelitian ditetapkan sebanyak 400 responden. Teknik analisis data menggunakan teknik analisis kuantitatif dengan menggunakan persamaan model struktural. Hasil penelitian ini menunjukkan bahwa kepercayaan publik berpengaruh positif dan signifikan terhadap kepatuhan wajib  pajak. Kepercayaan publik berpengaruh positif dan signifikan terhadap kepatuhan wajib pajak melalui kinerja pelayanan pajak. Variabel kinerja pelayanan pajak berpengaruh positif dan signifikan terhadap kepatuhan wajib pajak. Faktor pemerintah, faktor resiko, dan faktor kontekstual berpengaruh positif dan signifikan terhadap kepercayaan publik dalam meningkatkan kepatuhan wajib pajak di Provinsi Sulawesi Selatan. </p><p><strong>Kata kunci : Kepercayaan publik, kinerja pelayanan pajak, kepatuhan wajib pajak</strong></p>

scholarly journals PENGARUH KOMPETENSI, MOTIVASI DAN JIWA INTRAPRENEURSHIP TERHADAP KINERJA KARYAWAN (Penelitian Pada Karyawan Senior Staff PT. Indo-Rama Synthetics Tbk Divisi Polyester)

2018 ◽  
Vol 4 (1) ◽  
pp. 26-40
Author(s):  
Yana Ernawan ◽  
Nanang Wahidin
Keyword(s):  
Theoretical Model ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Methods ◽  
Employee Performance ◽  
Statistical Technique ◽  
Training And Development ◽  
Positive Influence ◽  
Cluster Sampling ◽  
Competence Motivation

This study aims to examine the influence of competence, motivation, and mental of intrapreneurship on the employee performance of senor staff of PT. Indo-Rama Synthetics Tbk Polyester Division at a Jatiluhur Purwakarta. Based on the theoretical model proposed in this study used a statistical technique is multiple linear regression. The population is 238 people, using a probability sampling methods, approaches Area (Cluster) Sampling, then taken as many as 70 samples. The results showed that all the variables (competence, motivation, and mental of intrapreneurship) are a positive influence on employee performance. The results of this study can be a reference for the various parties to improve employee performance. Hence, need more attention of the employees, especially in improving the competence, motivation and mental of intrapreneurship through training and development continuously.   Keywords : competence , motivation , mental of intrapreneurship , and employee performance  

Analyses of Data from Complex Survey Sampling

2018 ◽  
Author(s):  
Peter Miksza ◽  
Kenneth Elpus
Keyword(s):  
Survey Data ◽  
Random Sampling ◽  
Sampling Methods ◽  
Simple Random Sampling ◽  
Survey Sampling ◽  
Cluster Sampling ◽  
Complex Survey ◽  
Complex Survey Data ◽  
Survey Sample ◽  
Proper Analysis

This chapter introduces the specialized techniques necessary for analyzing data that have been gathered in a complex or multistage survey sample. The chapter details the methods most commonly used to collect complex survey data and then explains the specific statistical tools that must be employed to correctly analyze complex survey data. First, an overview of the various types of sampling methods is presented, beginning with simple random sampling and moving through other methods to finally discuss the commonly employed research techniques of cluster sampling. The chapter continues with a discussion of survey weights—what they mean and how they are derived. The chapter concludes with software-based suggestions on the proper analysis of survey data.

MENTAL HEALTH IN RELATION TO SEXOF SPECIAL EDUCATION SCHOOL TEACHERS

2017 ◽  
Vol 4 (23) ◽  
Author(s):  
Inderjeet Pal Kaur
Keyword(s):  
Mental Health ◽  
Special Education ◽  
Sampling Methods ◽  
Special School ◽  
Cluster Sampling ◽  
School Teachers ◽  
Special Schools ◽  
Education School ◽  
Special Education School ◽  
Level Of Significance

This investigation was aimed to study the mental health levels among special education school teachers and its relation to their sex.Here, a sample of 120 special education school teachers (60 males and 60 females) was selected from 15 special schools of Delhi, Haryana and Rajasthan states through simple random, purposive, convenience and cluster sampling methods. The survey questionnaire ‘Mental Health Inventory’by Dr. A.K. Shrivastava and Dr. Jagdish (1981) was used for measuring levels of mental health among special education school teachers. Percentage analysis, t-test were employed for data analysis. Mental health levels of most of special school teachers (i.e. 82.50%) were found either average or near average. A little percentage was found to at either very good (7.50%) or very poor (10.00%) levels of mental health. Besides, a significance of difference between mean MHI scores of male and female special education school teachers (t= 3.72, which is significant at 0.01 level of significance) was found. Higher mean MHI score (138.20) for female special education school teachers than their male counterparts (129.15) indicated that the female special education school teachers were enjoying better mental health than the male teachers.

A beginner's Guide to Sampling Methods in Medical Research

2021 ◽  
Author(s):  
Moslem Basti ◽  
Farzan Madadizadeh
Keyword(s):  
Random Sampling ◽  
Sampling Method ◽  
Sampling Methods ◽  
Simple Random Sampling ◽  
Cluster Sampling ◽  
Stratified Random Sampling ◽  
Systematic Random Sampling ◽  
Probabilistic Sampling ◽  
Multi Stage ◽  
Main Components

Background: Sampling methods are one of the main components of each research. Familiarity with a variety of sampling methods is essential for researchers. Objective: The main purpose of this study was to teach different probabilistic and non-probabilistic sampling methods to improve the knowledge of researchers in conducting more accurate research. Methods: In this tutorial article, useful information about each sampling method, as well as how to properly use each method and its strengths and weaknesses are provided. Results: Five cases of probabilistic sampling methods and four cases of non-probabilistic sampling methods that are common are mentioned. Probabilistic sampling included simple random sampling, stratified random sampling, cluster sampling, systematic random sampling, and multi-stage random sampling. In addition to introducing each method, its strengths and weaknesses are also mentioned. Conclusion: Probabilistic sampling methods despite limiting assumptions provide more reliable results. Therefore, if it is possible, researchers should use probabilistic sampling methods to increase the accuracy of the study.

scholarly journals Design-Based Approach for Analysing Survey Data in Veterinary Research

2021 ◽  
Vol 8 (6) ◽  
pp. 105
Author(s):  
D. Aaron Yang ◽  
Richard A. Laven
Keyword(s):  
Survey Data ◽  
Random Sampling ◽  
Sampling Methods ◽  
Survey Design ◽  
Target Population ◽  
Cluster Sampling ◽  
Valuable Insight ◽  
Complex Survey ◽  
Model Based ◽  
Veterinary Research

Sample surveys are an essential approach used in veterinary research and investigation. A sample obtained from a well-designed sampling process along with robust data analysis can provide valuable insight into the attributes of the target population. Two approaches, design-based or model-based, can be used as inferential frameworks for analysing survey data. Compared to the model-based approach, the design-based approach is usually more straightforward and directly makes inferences about the finite target population (such as the dairy cows in a herd or dogs in a region) rather than an infinite superpopulation. In this paper, the concept of probability sampling and the design-based approach is briefly reviewed, followed by a discussion of the estimations and their justifications in the context of several different elementary sampling methods, including simple random sampling, stratified random sampling, and one-stage cluster sampling. Finally, a concrete example of a complex survey design (involving multistage sampling and stratification) is demonstrated, illustrating how finding unbiased estimators and their corresponding variance formulas for a complex survey builds on the techniques used in elementary sampling methods.

scholarly journals Analisis Korelasi Implementasi Layanan Pesan Antar Berbasis Aplikasi Terhadap Penjualan Kafe Di Masa Pandemi Covid-19: Studi Kasus OCD Coffee Shop

2021 ◽  
Vol 6 (2) ◽  
pp. 115
Author(s):  
Erlangga Tri Adhiguna ◽  
Muhammad Fattah Mahdi ◽  
Muhammad Nepo Fauzan ◽  
Zonar Anjab Rabbani ◽  
Sugeng Santoso
Keyword(s):  
Sampling Methods ◽  
Positive Impact ◽  
Quantitative Approach ◽  
Cluster Sampling ◽  
Coffee Shop ◽  
Correlation Test ◽  
Qualitative And Quantitative ◽  
Is Implementation ◽  
Normality Test

This research was conducted to analyze the effect of implementation of delivery application with sales of a cafe during COVID-19 pandemic with a case study of the OCD Coffee Shop. This research is a type of explanatory research, with qualitative and quantitative approach, used 3137 customers as a sample with cluster sampling methods from thousand customers in population. The primer data of this research obtained by interviewing couple informant including key and supporting. The data obtained was analyzed using normality test, linear test, and correlation test between variables. The conclusion of this study is implementation of delivery application has a significant effect on sales and brings positive impact beside economy.Key Words: Delivery Application, Sales, COVID-19 Pandemic

scholarly journals  Efficiency of adaptive cluster sampling and traditional sampling for coastal mangrove in Hainan of China

2012 ◽  
Vol 58 (No. 9) ◽  
pp. 381-390 ◽  
Author(s):  
Y. Lei ◽  
J. Shi ◽  
T. Zhao
Keyword(s):  
Sampling Method ◽  
Sampling Methods ◽  
Unit Area ◽  
Simple Random Sampling ◽  
Systematic Sampling ◽  
Cluster Sampling ◽  
Density Estimator ◽  
Adaptive Cluster Sampling ◽  
Initial Sample ◽  
Initial Sampling

Based on two species of Coastal Mangrove in Hainan of China, Sonneratia Apetala Buch-Ham and Sonneratia caseoli, we estimated the density of the two species to evaluate the efficiency of adaptive cluster sampling (ACS), simple random sampling (SRS) and traditional systematic sampling (SYS). Our initial experimental designs for ACS consisted of 5 unit areas, 6 initial sampling proportions, 4 initial sample sizes and 5 criterion values in 1,000&nbsp;repetitions. From the aspect of factors influencing efficiency, we analysed the efficiency of ACS in various designs. We also compared the efficiencies of the three methods on the indexes of the relative error, the variance of density estimator and the relative sampling efficiencies. We found that ACS yielded smaller variance than the traditional sampling methods. ACS was a powerful sampling method when a population was spatially aggregated. We also determined the optimum unit area for the two species studied using the two estimators (HT and HH) of adaptive cluster sampling. They were 20&nbsp;m<sup>2 </sup>(2 &times; 10 m), 15 m<sup>2 </sup>(3 &times; 5 m) for S. Apetala Buch-Ham and 25 m<sup>2 </sup>(5 &times; 5 m), 15 m<sup>2 </sup>(3 &times; 5 m) for S. caseolari, respectively.

scholarly journals Cervical Screening in Iranian Migrants

1998 ◽  
Vol 4 (1) ◽  
pp. 93 ◽  
Author(s):  
Chris Rissel ◽  
Freidoon Khavarpour
Keyword(s):  
Sampling Methods ◽  
Cervical Screening ◽  
Cost Effective ◽  
Demographic Characteristics ◽  
Viable Alternative ◽  
Cluster Sampling ◽  
Snowball Sampling ◽  
Group Interactions ◽  
Telephone Surveys ◽  
Migrant Communities

The cervical screening status of small and geographically diverse migrant communities is particularly difficult to assess. Usual approaches to migrant research such as telephone surveys using ethnically identifiable names or cluster sampling might not be feasible. Snowball sampling, although sometimes criticised for problems of inference with non-probability samples, might be the only cost-effective and viable alternative. Snowball sampling is the method of choice by sociologists studying networks and group interactions and has been shown to yield similar estimates of attitudes and demographic characteristics as probability sampling methods (Rumbaut, Chavez, Moser, Pickwell, & Wishik, 1988; Welch, 1975).

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