Sampling Methods

2020 ◽  
Vol 36 (2) ◽  
pp. 224-226 ◽  
Author(s):  
Andrea E. Berndt

Knowledge of sampling methods is essential to design quality research. Critical questions are provided to help researchers choose a sampling method. This article reviews probability and non-probability sampling methods, lists and defines specific sampling techniques, and provides pros and cons for consideration. In addition, issues related to sampling methods are described to highlight potential problems.

2020 ◽  
Vol 3 (1) ◽  
pp. 1-10
Author(s):  
Elizabeth Rahayu

Abstract The purpose of this research is to understand the influence of price and product quality of T-Mart Express Indonesia’s customer satisfaction. This research is a quantitative research by using the SPSS Statistic 22 with 112 respondent of the sample which is T-Mart Express Indonesia consumers in North  Jakarta who have bought the product three times or more by using non-probability sampling method and purposive sampling techniques. The measurement used was a questionnaire that was distributed through Google Form to the respondent. The result of hypothesis analysis shows that price and product quality significantly affect customer satisfaction. Implications and suggestions are explained in the article. Abstrak Tujuan dari penelitian ini adalah untuk memahami pengaruh harga dan kualitas produk terhadap kepuasan pelanggan T-Mart Express Indonesia. Penelitian ini adalah penelitian kuantitatif dengan menggunakan SPSS Statistic 22 dengan sampel sebanyak 112 responden yaitu konsumen T-Mart Express Indonesia di Jakarta Utara yang telah membeli produk tiga kali atau lebih dengan menggunakan metode non probability sampling dan teknik purposive sampling. Pengukuran yang digunakan adalah kuesioner yang dibagikan melalui Google Form kepada responden. Hasil analisis hipotesis menunjukkan bahwa harga dan kualitas produk berpengaruh signifikan terhadap kepuasan pelanggan. Implikasi dan saran dijelaskan pada artikel    


Quantitative researchers need a probabilistic sample to generalise their findings, but research constraints often compel them to use non-probabilistic samples. The use of non-probability sampling methods in quantitative studies has therefore become a norm. Interestingly, even studies published in top-quality journals compromise best practices that the use of non-probabilistic samples requires. Based on a thorough review of relevant studies, we developed a typology of non-probability sampling methods used in quantitative health studies. An attempt was made to discuss the limit of inference under each type of non-probability sampling method. Non-probability sampling in quantitative research was also delineated as a way to maximise response rate. This study is expected to guide students and early career epidemiologists to understand how to apply non-probabilistic sampling methods in quantitative approaches and plausibly document or report their chosen methods.


In this chapter, students are presented with two distinct methods of choosing which units of analysis that represent a broader population will be included in a study. Multiple probability and non-probability sampling techniques are discussed. Upon reading this chapter, students will understand how to draw a random sample and the inherent advantages of probability sampling methods compared to non-probability methods. Concepts such as sampling frame, generalizability, margin of error, and confidence level are discussed. Numerous examples are used throughout.


2014 ◽  
Vol 19 (1) ◽  
pp. 56-66 ◽  
Author(s):  
Keming Yang ◽  
Ahmad Banamah

In spite of the establishment of probability sampling methods since the 1930s, non-probability sampling methods have remained popular among many commercial and polling agents, and they have also survived the embarrassment from a few incorrect predictions in American presidential elections. The increase of costs and the decline of response rates for administering probability samples have led some survey researchers to search for a non-probability sampling method as an alternative to probability sampling. In this study we aim to test whether results from a quota sample, believed to be the non-probability sampling method that is the closest in representativeness to probability sampling, are statistically equivalent to those from a probability sample. Further, we pay special attention to the effects of the following two factors for understanding the difference between the two sampling methods: the survey's topic and the response rate. An experimental survey on social capital was conducted in a student society in Northeast England. The results suggest that the survey topic influences who responded and that the response rate was associated with the sample means as well. For these reasons, we do not think quota sampling should be taken as an acceptable alternative to probability sampling.


2019 ◽  
Vol 2 (2) ◽  
pp. 137-144
Author(s):  
Yosie Anne Putri

The purpose of this research is to understand the influence of promotion mix and lifestyle towards purchase intention of Kedai Kopi Serasi product. This research is a quantitative research with 130 respondent of sample which are consumers of Kedai Kopi Serasi in Cilincing who coincidentally met with the researcher if deemed concerned was appropriate to be used as a source of data by using non-probability sampling method and incedential sampling techniques. The result of this research show that promotion mix influence significantly to purchase intention and lifestyle influence significantly to purchase intention. The implications of this research can be a reference for the management team in formulating Kedai Kopi Serasi increase purchase intention strategy through promotion mix and lifestyle.


2020 ◽  
Author(s):  
Eduard Yohannis Tamaela

This research aims to find out and analyze the magnitude of the effect of causality between organizational culture, job satisfaction and employee performance of Dr. Haulussy Ambon. Based on the research objectives above, this type of research can be classified as an explanatory research (exsplanatory). Through surveys using questionnaire and interview instruments for data collection and probability sampling methods as well as purposive sampling techniques for sample selection, 111 respondents were obtained as research samples. The results by using path analysis indicate that organizational culture has a positive and significant effect on job satisfaction and performance and job satisfaction has a positive and significant effect on the performance of RSUD Dr. Haulussy Ambon. Thus it can be said that the drive to improve organizational culture will increase the level of performance and subsequently the drive to increase job satisfaction will increase the level of employees’s performance of RSUD Dr. Haulussy Ambon.


Jurnal Ecogen ◽  
2019 ◽  
Vol 2 (4) ◽  
pp. 666
Author(s):  
Azizah Pratika Sari ◽  
Rose Rahmidani

This study aims to know 1) the influence E-Word of Mouth to E-Trust toward E-Purchase Decision Universitas Negeri Padang students on marketplace Lazada, 2) the influence E-Word of Mouth toward E-Purchase Decision Universitas Negeri Padang students on marketplace Lazada, 3) the influence E-Trust toward E-Purchase Decision Universitas Negeri Padang students on marketplace Lazada. The type of study is causal research. The population in this study are Universitas Negeri Padang students who once using marketplace Lazada. The sampling techniques using non probability sampling with purposive sampling method and sample size of 100 respondens by using the formula of Cochran’s. The data analysis technique used is the analysis of the path (path analysis) using SPSS version 21. By using path analysis, the resultsof this study  showed that: (1) E-Word of Mouth have effect on E-Trust toward E-Purchase Decision Universitas Negeri Padang students on marketplace Lazada, (2) E-Word of Mouth affects E-Purchase Decision Universitas Negeri Padang students on marketplace Lazada, (3) E-Trust affects E-Purchase Decision Universitas Negeri Padang students on marketplace LazadaKeyword: E-Word of Mouth, E-Trust, E-Purchase decision


2011 ◽  
Vol 19 (1) ◽  
Author(s):  
David L. Gilbertson ◽  
Terri L. Herron

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt; mso-pagination: none;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 10pt;">Generally accepted auditing standards permit auditors to apply both statistical and nonstatistical sampling techniques in obtaining sufficient, competent evidential matter.<span style="mso-spacerun: yes;">&nbsp; </span>However, several recent studies have shown that statistical sampling procedures have nearly disappeared from practice. Despite this trend and the heightened anxiety about professional liability, no studies to date have directly tested the potential implications of sampling method on jurors verdicts, damage awards, or sample size expectations.<span style="mso-spacerun: yes;">&nbsp; </span>In this study we investigate the effect of sampling method on jurors&rsquo; judgments in auditor negligence trials.<span style="mso-spacerun: yes;">&nbsp; </span>Overall, in a case where auditors were alleged to have used an insufficient sample size, the sampling method did not affect the likelihood of a &ldquo;guilty of negligence&rdquo; verdict.<span style="mso-spacerun: yes;">&nbsp; </span>However, as predicted, damage awards were significantly higher when nonstatistical sampling was used compared with statistical sampling.<span style="mso-spacerun: yes;">&nbsp; </span>Exploratory analysis revealed that subjects voting &ldquo;guilty of negligence&rdquo; would require the auditors to examine over 17% of the population (compared with the 1% examined) in order to change their verdict to &ldquo;not guilty of negligence.&rdquo;<span style="mso-spacerun: yes;">&nbsp; </span>These findings have troubling implications for auditors employing sampling techniques.</span></p>


2021 ◽  
Vol 5 (3) ◽  
pp. 226
Author(s):  
Haris Kristanto ◽  
Carunia Mulya Firdausy

The purpose of this study is to examine the influence of perceived ease of use, perception usefulness, attitude towards using, and sales promotion on repurchase intention Cinema 21 tickets through the TIX-ID application. This research is limited to consumers who have used the TIX-ID application to purchase cinema tickets. The sampling method used was non-probability sampling method with convenience sampling techniques, and with 103 respondents. The data was analysed by using PLS-SEM and estimated by using SmartPLS 3.2.9 as software. The results showed that perceived ease of use and perceived usefulness significantly affect attitude toward using. Sales promotion did not have any significant effect on repurchase intention, while attitude toward using significantly affected the repurchase intention of consumers towards Cinema 21 tickets through the TIX-ID application. Tujuan penelitian ini yaitu untuk menguji pengaruh dari perceived ease of use, perceived usefulness, attitude toward using, serta sales promotion terhadap repurchase intention tiket bioskop 21 melalui aplikasi TIX-ID. Penelitian ini dibatasi pada konsumen yang sudah pernah menggunakan aplikasi TIX-ID untuk melakukan pembelian tiket bioskop. Metode sampling yang digunakan adalah non-probability sampling dengan teknik convenience sampling, dan dengan 103 responden. Pengolahan data menggunakan PLS-SEM dan diestimasi menggunakan software SmartPLS 3.2.9. Hasil penelitian menunjukan bahwa perceived ease of use dan perceived usefulness berpengaruh signifikan terhadap attitude toward using. Sales promotion tidak memiliki pengaruh yang signifikan terhadap repurchase intention, sedangkan attitude toward using berpengaruh secara signifikan terhadap repurchase intention tiket bioskop oleh konsumen melalui aplikasi TIX-ID.


2020 ◽  
Vol 36 (4) ◽  
pp. 579-581
Author(s):  
Sara L. Gill

Qualitative sampling methods differ from quantitative sampling methods. It is important that one understands those differences, as well as, appropriate qualitative sampling techniques. Appropriate sampling choices enhance the rigor of qualitative research studies. These types of sampling strategies are presented, along with the pros and cons of each. Sample size and data saturation are discussed.


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