{"id":10893,"date":"2025-02-10T04:54:57","date_gmt":"2025-02-10T04:54:57","guid":{"rendered":"https:\/\/researcher.life\/blog\/?p=10893"},"modified":"2025-02-18T04:55:23","modified_gmt":"2025-02-18T04:55:23","slug":"what-is-sampling-bias-definition-types-and-examples","status":"publish","type":"post","link":"https:\/\/researcher.life\/blog\/article\/what-is-sampling-bias-definition-types-and-examples\/","title":{"rendered":"What is Sampling Bias? Definition, Types and Examples"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-10894\" src=\"https:\/\/blog.researcher.life\/wp-content\/uploads\/2025\/02\/pexels-henri-mathieu-8355844-1.jpg\" alt=\"sampling bias in research\" width=\"1920\" height=\"1280\" srcset=\"https:\/\/blog.researcher.life\/wp-content\/uploads\/2025\/02\/pexels-henri-mathieu-8355844-1.jpg 1920w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2025\/02\/pexels-henri-mathieu-8355844-1-300x200.jpg 300w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2025\/02\/pexels-henri-mathieu-8355844-1-1024x683.jpg 1024w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2025\/02\/pexels-henri-mathieu-8355844-1-768x512.jpg 768w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2025\/02\/pexels-henri-mathieu-8355844-1-1536x1024.jpg 1536w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><\/p>\n<p><span data-preserver-spaces=\"true\">Accurate and valid research relies on carefully selected samples that represent the population under study. However, sometimes researchers fall prey to sampling bias, which occurs when the individuals or elements chosen for a survey do not accurately represent the entire population of interest, leading to systematic errors in data collection.\u00a0\u00a0<\/span><span data-preserver-spaces=\"true\">\u00a0<\/span><\/p>\n<p><span data-preserver-spaces=\"true\">Take, for example, a study conducted on dietary preferences at a high-end keto-organic grocery store. The results will undoubtedly show that people prefer vegan and gluten-free options. But is this truly representative of the entire population? Probably not. This is an example of sampling bias\u2014a significant but often overlooked issue in research that can lead to misleading and inaccurate conclusions.\u00a0<\/span><\/p>\n<p><span data-preserver-spaces=\"true\"> <div id=\"ez-toc-container\" class=\"ez-toc-v2_0_68 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \" >Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/researcher.life\/blog\/article\/what-is-sampling-bias-definition-types-and-examples\/#What_is_Sampling_Bias\" title=\"What is Sampling Bias?\u00a0\u00a0\">What is Sampling Bias?\u00a0\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/researcher.life\/blog\/article\/what-is-sampling-bias-definition-types-and-examples\/#Causes_of_Sampling_Bias\" title=\"Causes of Sampling Bias\u00a0\">Causes of Sampling Bias\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/researcher.life\/blog\/article\/what-is-sampling-bias-definition-types-and-examples\/#Types_of_Sampling_Bias\" title=\"Types of Sampling Bias\u00a0\">Types of Sampling Bias\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/researcher.life\/blog\/article\/what-is-sampling-bias-definition-types-and-examples\/#How_to_Avoid_Sampling_Bias\" title=\"How to Avoid Sampling Bias?\u00a0\">How to Avoid Sampling Bias?\u00a0<\/a><\/li><\/ul><\/nav><\/div>\n<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"What_is_Sampling_Bias\"><\/span><strong><span data-preserver-spaces=\"true\">What is Sampling Bias?\u00a0<\/span><\/strong><span data-preserver-spaces=\"true\">\u00a0<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span data-preserver-spaces=\"true\">Sampling bias refers to an error in data collection where a sample does not accurately represent the population. This happens when some groups are overrepresented while others are left out, creating a skewed perspective. Understanding sampling bias, recognizing its causes, and knowing how to address it are essential skills for researchers aiming to produce credible and impactful results. If left unchecked, it can undermine the accuracy and validity of research findings, leading to errors in interpretation and decision-making.\u00a0<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Causes_of_Sampling_Bias\"><\/span><strong><span data-preserver-spaces=\"true\">Causes of Sampling Bias<\/span><\/strong><span data-preserver-spaces=\"true\">\u00a0<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span data-preserver-spaces=\"true\">Many factors can lead to sampling bias. Researchers must be conscious of these factors to minimize the likelihood of such bias.\u00a0<\/span><\/p>\n<ul>\n<li><em><strong>Poor sample design<\/strong><span data-preserver-spaces=\"true\"> is a <\/span><\/em><span data-preserver-spaces=\"true\">significant cause of sampling bias. It involves using non-random sampling techniques, such as convenience sampling when selecting samples for research. This leads to bias and, consequently, gaps in research findings. Therefore, while designing your research study, ensure that the sample is representative of the population of interest and of adequate size.\u00a0<\/span><\/li>\n<li>Another<span data-preserver-spaces=\"true\"> major cause of sampling bias is <em><strong>the exclusion of certain groups<\/strong><\/em> from the sample, resulting in skewed data collection. This affects the overall quality, significance, and reliability of the study. That is why it is important to focus on implementing sampling techniques and strategies that support the aims and objectives of your study and are in line with your research questions.\u00a0 \u00a0<\/span><\/li>\n<li><em><span data-preserver-spaces=\"true\"><strong>Non-random selection<\/strong>, <\/span><\/em><span data-preserver-spaces=\"true\">where<\/span> <span data-preserver-spaces=\"true\">the criteria for sample selection are not random, also results in sampling bias. While non-probability sampling has its advantages, it has a greater risk of sampling bias than probability sampling.\u00a0\u00a0<\/span><\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"Types_of_Sampling_Bias\"><\/span><b><span data-contrast=\"auto\">Types of Sampling Bias<\/span><\/b><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:276}\">\u00a0<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span data-contrast=\"auto\">There are different <\/span><span data-contrast=\"auto\">types of sampling bias<\/span><span data-contrast=\"auto\">. Some key types are discussed here:<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:276}\">\u00a0<\/span><\/p>\n<table data-tablestyle=\"MsoTableGrid\" data-tablelook=\"1184\" aria-rowcount=\"5\">\n<tbody>\n<tr aria-rowindex=\"1\">\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Types of Bias<\/span><\/b><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559740&quot;:276}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Meaning<\/span><\/b><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559740&quot;:276}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Examples<\/span><\/b><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559740&quot;:276}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"2\">\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Selection Bias<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559740&quot;:276}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Occurs when an improper selection of subjects produces results that are systematically different from the intended population of interest. The sample cannot be viewed as being representative of the study population.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:276}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Educational aptitude tests that are administered only in schools may leave out students pursuing homeschooling or those learning from private providers.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:276}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"3\">\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Self-selection bias<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559740&quot;:276}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">This type of bias occurs when the participants <\/span><span data-contrast=\"auto\">choose to join a study based on their preferences, often resulting in extremes. In other words, the sample selection is <\/span><span data-contrast=\"auto\">not random.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:276}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">An athlete is more likely to participate in a study that tests wearable gadgets to monitor critical body metrics than a person who is not a fitness enthusiast.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:276}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"4\">\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Survivorship bias<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559740&quot;:276}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Occurs when researchers consider only cases, groups or individuals that survived a process and exclude others.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:276}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Studying the efficacy of new study materials by evaluating only those students who cleared the annual exam, leaving out those who failed or did not take the exam.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:276}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"5\">\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Under-coverage bias<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559740&quot;:276}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">This occurs when certain members of the population are underrepresented in the sample.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559740&quot;:276}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">When door-to-door surveys are conducted during working hours, persons at work or in educational institutions are often left out. Responses are taken only from those available at their homes at that particular time.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:276}\">\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span class=\"ez-toc-section\" id=\"How_to_Avoid_Sampling_Bias\"><\/span><strong><span data-preserver-spaces=\"true\">How to Avoid Sampling Bias?<\/span><\/strong><span data-preserver-spaces=\"true\">\u00a0<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span data-preserver-spaces=\"true\">When undertaking research, it is critical to ensure that research findings accurately represent the target population, and therefore, avoiding or correcting sampling bias becomes essential. Here are some tips and strategies on how to avoid sampling bias \u2013\u00a0<\/span><\/p>\n<ul>\n<li><span data-preserver-spaces=\"true\">Random sampling can help researchers ensure that every unit in the population has an equal chance of being selected for the sample, reducing the likelihood of sampling bias.\u00a0<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Stratification is yet another sampling technique that helps to reduce and eliminate sampling bias. It involves dividing the population of interest into strata or sub-groups based on specific criteria, followed by selecting individuals from each group in proportion to their representation in the population.\u00a0<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Increasing sample size is one of the essential characteristics of good sample design. Having an adequate sample size helps prevent the likelihood of any sampling bias and ensures the generalizability of research findings to the entire population.\u00a0<\/span><\/li>\n<li><span data-preserver-spaces=\"true\">Using suitable sampling parameters and guidelines is crucial as it helps to minimize under-coverage bias and ensures that the sample accurately reflects the target population. Therefore, researchers must regularly update their sampling parameters and check to ensure that they are appropriate, relevant and accurate for the research being undertaken.\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-preserver-spaces=\"true\">Poor sampling procedures and techniques can lead to sampling bias and errors, which can make the results unreliable. That is why understanding the causes and implications of sampling bias becomes crucial. Researchers aiming to produce accurate and valid findings must vigilantly identify possible sampling bias and take proactive measures to mitigate its effects.\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">Editage All Access<\/span><\/i><i><span data-contrast=\"auto\"> is a subscription-based platform that unifies the best AI tools and services designed to speed up, simplify, and streamline every step of a researcher\u2019s journey. The <\/span><\/i><a href=\"https:\/\/researcher.life\/?utm_source=contentmarketing&amp;utm_medium=rblog&amp;utm_campaign=what-is-sampling-bias\"><b><i><span data-contrast=\"none\">Editage All Access Pack<\/span><\/i><\/b><\/a> <i><span data-contrast=\"auto\">is a one-of-a-kind subscription that unlocks full access to an AI writing assistant, literature recommender, journal finder, scientific illustration tool, and exclusive discounts on professional publication services from Editage.<\/span><\/i><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559738&quot;:0,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">Based on 22+ years of experience in academia, <\/span><\/i><i><span data-contrast=\"auto\">Editage All Access<\/span><\/i><i><span data-contrast=\"auto\"> empowers researchers to put their best research forward and move closer to success. Explore our top AI Tools pack, AI Tools + Publication Services pack, or Build Your Own Plan. Find everything a researcher needs to succeed, all in one place \u2013\u202f<\/span><\/i><a href=\"https:\/\/researcher.life\/all-access-pricing?utm_source=contentmarketing&amp;utm_medium=rblog&amp;utm_campaign=what-is-sampling-bias\"><b><i><span data-contrast=\"none\">Get All Access now starting at just <\/span><\/i><\/b><b><i><span data-contrast=\"none\">$14<\/span><\/i><\/b><b><i><span data-contrast=\"none\"> a month<\/span><\/i><\/b><\/a><b><i><span data-contrast=\"auto\">!<\/span><\/i><\/b><span data-contrast=\"auto\">\u202f<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559738&quot;:0,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Accurate and valid research relies on carefully selected samples that represent the population under study. However, sometimes researchers fall prey to sampling bias, which occurs<\/p>\n","protected":false},"author":50,"featured_media":10894,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","footnotes":""},"categories":[63,1],"tags":[939,952,951],"class_list":["post-10893","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research-tips","category-researcher-life","tag-bias-in-research-findings","tag-pex","tag-sampling-bias"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>What is Sampling Bias? 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