{"id":21615,"date":"2019-03-21T10:00:41","date_gmt":"2019-03-21T04:00:41","guid":{"rendered":"https:\/\/www.enago.com\/academy\/?p=21615"},"modified":"2019-07-19T17:20:11","modified_gmt":"2019-07-19T11:20:11","slug":"the-importance-of-sampling-methods-in-research-design","status":"publish","type":"post","link":"https:\/\/www.enago.com\/academy\/the-importance-of-sampling-methods-in-research-design\/","title":{"rendered":"The Importance of Sampling Methods in Research Design"},"content":{"rendered":"<p>In <a href=\"https:\/\/towardsdatascience.com\/sampling-techniques-a4e34111d808\" rel=\"noopener nofollow\">research design<\/a>, population and sampling are two important terms. A population is a group of individuals that share common connections. A sample is a subset of the population. The sample size is the number of individuals in a sample. The more representative the sample of thepopulation, the more confident the researcher can be in the quality of the results.<\/p>\n<h2>Types of Sampling Methods<\/h2>\n<p>Illustration of the importance of sampling:<\/p>\n<blockquote><p>A researcher might want to study the adverse health effects associated with working in a coal mine. However, it would be impossible to study a large population of coal workers. So, the researcher would need to narrow down the population and build a sample to collect data. This sample might be a group of coal workers in one city.<\/p><\/blockquote>\n<p>Sampling methods are as follows:<\/p>\n<p><strong>Probability Sampling<\/strong> is a method wherein each member of the population has the same probability of being a part of the sample.<\/p>\n<p><strong>Non-probability Sampling<\/strong> is a method wherein each member of the population does not have an equal chance of being selected. When the researcher desires to choose members selectively,non-probability sampling is considered.\u00a0Both sampling techniques are\u00a0frequently utilized. However, one works better than others depending on research needs.<\/p>\n<h2>Qualitative and Quantitative Research<\/h2>\n<p>In <a href=\"https:\/\/cirt.gcu.edu\/research\/developmentresources\/research_ready\/qualitative\/sampling\" rel=\"noopener nofollow\">Qualitative research<\/a>, non-numerical data is used to study elements in their natural settings. This helps to interpret and measure how these elements affect humans or other living beings.<br \/>\nThere are three main types of qualitative sampling:<\/p>\n<ul>\n<li><strong>Purposive sampling:\u00a0<\/strong>\u00a0Pre-selected criteria related to <a href=\"https:\/\/www.enago.com\/academy\/how-to-develop-a-good-research-hypothesis\/\" data-internallinksmanager029f6b8e52c=\"37\" title=\"Hypothesis\" rel=\"nofollow noopener\" target=\"_blank\">research hypothesis<\/a> determines the participants for research, for example, a study on cancer rates for individuals who live near a nuclear power station.<\/li>\n<li><strong>Quota sampling:<\/strong>\u00a0The researcher establishes participant quotas before forming a sample<strong>.<\/strong>\u00a0Selection of participants that meet certain traits like gender, age, health, etc.<\/li>\n<li><strong>Snowball sampling:\u00a0<\/strong>\u00a0The participants in the study refer\u00a0other individuals who fit the traits required for the study, to the researcher.<\/li>\n<\/ul>\n<p><a href=\"https:\/\/cirt.gcu.edu\/research\/developmentresources\/research_ready\/quantresearch\/sample_meth\" rel=\"noopener nofollow\">Quantitative research<\/a> is used to categorize, rank, and measure numerical data. Researchers establish general laws of behavior found in different contexts and settings. The goal is <a href=\"https:\/\/www.enago.com\/academy\/merits-of-quantitative-research\/\" rel=\"noopener dofollow\">to test a theory<\/a> and support or reject it.<\/p>\n<p>The three main types of quantitative sampling are:<\/p>\n<ul>\n<li><strong>Random sampling: <\/strong>Random sampling\u00a0is when all individuals in a population have an equal chance of being selected.<\/li>\n<li><strong>Stratified sampling: <\/strong>Stratified sampling\u00a0is when the researcher defines the types of individuals in the population based on specific criteria for the study. For example, a study on smoking might need to break down its participants by age, race, or socioeconomic status.<\/li>\n<li><strong>Systematic sampling: <\/strong>Systemic sampling is choosing a sample on an orderly basis. To build the sample, look at the target population and choose every fifth, tenth, or twentieth name, based upon the needs of the sample size.<\/li>\n<\/ul>\n<div id=\"om-dqx4acd1ednpm2dtmovz-holder\"><\/div>\n<p><script type=\"text\/javascript\" src=\"https:\/\/a.opmnstr.com\/app\/js\/api.min.js\" data-campaign=\"dqx4acd1ednpm2dtmovz\" data-user=\"41855\" async><\/script><\/p>\n<h2>The Importance of Selecting an Appropriate Sampling Method<\/h2>\n<p>Sampling yields significant research result. However, with the differences that can be present between a population and a sample, sample errors can occur. Therefore, it is essential to use the most relevant and useful sampling method.<\/p>\n<p>Below are three of the most common sampling errors.<\/p>\n<ul>\n<li>Sampling bias occurs when the sample does not reflect the characteristics of the population.<\/li>\n<li>Sample frame errors occur when the wrong sub-population is used to select a sample. This can be due to gender, race, or economic factors.<\/li>\n<li>Systematic errors occur when the results from the sample differ significantly from the results of the population.<\/li>\n<\/ul>\n<p>What is your experience with research design and sampling methods? Have you faced some of the challenges mentioned in this article? Please share your thoughts in the comments.<\/p>\n<div style=\"display:flex; gap:10px;justify-content:\" class=\"wps-pgfw-pdf-generate-icon__wrapper-frontend\">\n\t\t<a  href=\"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/posts\/21615?action=genpdf&amp;id=21615\" class=\"pgfw-single-pdf-download-button\" ><img data-src=\"https:\/\/www.enago.com\/academy\/wp-content\/plugins\/pdf-generator-for-wp\/admin\/src\/images\/PDF_Tray.svg\" title=\"Generate PDF\" style=\"width:auto; height:45px;\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\"><\/a>\n\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>In research design, population and sampling are two important terms. A population is a group&hellip;<\/p>\n","protected":false},"author":8169,"featured_media":21625,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"footnotes":""},"categories":[1319,1336],"tags":[1510],"ppma_author":[1908],"class_list":["post-21615","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-beyond-publishing","category-phd-cafe","tag-tips-for-phd-students"],"better_featured_image":{"id":21625,"alt_text":"Research design","caption":"","description":"A subset of the population in the study is selected for the actual research study. If the research is performed with the wrong sample or one that is inaccurately designed misleading results are obtained. Therefore, it is essential to understand the importance of using appropriate sample for research.","media_type":"image","media_details":{"width":750,"height":430,"file":"2019\/03\/tinysamplingmethods.jpg","sizes":{"thumbnail":{"file":"tinysamplingmethods-170x150.jpg","width":170,"height":150,"mime-type":"image\/jpeg","source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2019\/03\/tinysamplingmethods-170x150.jpg"},"medium":{"file":"tinysamplingmethods-401x230.jpg","width":401,"height":230,"mime-type":"image\/jpeg","source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2019\/03\/tinysamplingmethods-401x230.jpg"},"large":{"file":"tinysamplingmethods-750x430.jpg","width":750,"height":430,"mime-type":"image\/jpeg","source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2019\/03\/tinysamplingmethods-750x430.jpg"},"better-amp-small":{"file":"tinysamplingmethods-100x100.jpg","width":100,"height":100,"mime-type":"image\/jpeg","source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2019\/03\/tinysamplingmethods-100x100.jpg"},"better-amp-normal":{"file":"tinysamplingmethods-260x200.jpg","width":260,"height":200,"mime-type":"image\/jpeg","source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2019\/03\/tinysamplingmethods-260x200.jpg"},"better-amp-large":{"file":"tinysamplingmethods-450x300.jpg","width":450,"height":300,"mime-type":"image\/jpeg","source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2019\/03\/tinysamplingmethods-450x300.jpg"},"publisher-tb1":{"file":"tinysamplingmethods-86x64.jpg","width":86,"height":64,"mime-type":"image\/jpeg","source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2019\/03\/tinysamplingmethods-86x64.jpg"},"publisher-sm":{"file":"tinysamplingmethods-210x136.jpg","width":210,"height":136,"mime-type":"image\/jpeg","source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2019\/03\/tinysamplingmethods-210x136.jpg"},"publisher-mg2":{"file":"tinysamplingmethods-279x220.jpg","width":279,"height":220,"mime-type":"image\/jpeg","source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2019\/03\/tinysamplingmethods-279x220.jpg"},"publisher-md":{"file":"tinysamplingmethods-357x210.jpg","width":357,"height":210,"mime-type":"image\/jpeg","source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2019\/03\/tinysamplingmethods-357x210.jpg"},"publisher-tall-sm":{"file":"tinysamplingmethods-180x217.jpg","width":180,"height":217,"mime-type":"image\/jpeg","source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2019\/03\/tinysamplingmethods-180x217.jpg"},"publisher-tall-lg":{"file":"tinysamplingmethods-267x322.jpg","width":267,"height":322,"mime-type":"image\/jpeg","source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2019\/03\/tinysamplingmethods-267x322.jpg"},"publisher-tall-big":{"file":"tinysamplingmethods-368x430.jpg","width":368,"height":430,"mime-type":"image\/jpeg","source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2019\/03\/tinysamplingmethods-368x430.jpg"},"Book Review":{"file":"tinysamplingmethods-320x430.jpg","width":320,"height":430,"mime-type":"image\/jpeg","source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2019\/03\/tinysamplingmethods-320x430.jpg"}},"image_meta":{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0","keywords":[]}},"post":21615,"source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2019\/03\/tinysamplingmethods.jpg"},"acf":{"faq_main_heading":"","faq_heading_one":"","faq_heading_two":"","faq_heading_three":"","faq_heading_four":"","faq_heading_five":"","faq_heading_six":"","faq_description_one":"","faq_description_two":"","faq_description_three":"","faq_description_four":"","faq_description_five":"","faq_description_six":""},"views":32268,"single_webinar_page_date":null,"single_webinar_page_time":null,"session_agenda":null,"who_should_attend_this_session":null,"about_the_speaker_field":null,"co-webinar-sec":null,"co_webinar_sec_one":null,"speaker-name":null,"webinar-date":null,"webinar-time":null,"webinar-s-image":null,"custum_webinar_category":null,"authors":[{"term_id":1908,"user_id":8169,"is_guest":0,"slug":"eneditor","display_name":"Enago Academy","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/046a0ceeb5c38172654db93f9919593bc2e4e1391702eb8b7248865941ddbe18?s=96&d=identicon&r=g","author_category":"","user_url":"","last_name":"Academy","first_name":"Enago","job_title":"","description":"Enago Academy, the knowledge arm of Enago, offers comprehensive and up-to-date resources on academic research and scholarly publishing to all levels of scholarly professionals: students, researchers, editors, publishers, and academic societies. It is also a popular platform for networking, allowing researchers to learn, share, and discuss their experiences within their network and community. The team, which comprises subject matter experts, academicians, trainers, and technical project managers, are passionate about helping researchers at all levels establish a successful career, both within and outside academia."}],"_links":{"self":[{"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/posts\/21615","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/users\/8169"}],"replies":[{"embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/comments?post=21615"}],"version-history":[{"count":0,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/posts\/21615\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/media\/21625"}],"wp:attachment":[{"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/media?parent=21615"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/categories?post=21615"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/tags?post=21615"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/ppma_author?post=21615"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}