{"id":1832,"date":"2023-04-14T14:56:12","date_gmt":"2023-04-14T14:56:12","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/?post_type=chapter&#038;p=1832"},"modified":"2024-10-18T20:54:40","modified_gmt":"2024-10-18T20:54:40","slug":"sampling-and-experimentation-learn-it-3","status":"web-only","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/chapter\/sampling-and-experimentation-learn-it-3\/","title":{"raw":"Sampling and Experimentation: Learn It 3","rendered":"Sampling and Experimentation: Learn It 3"},"content":{"raw":"<h2>The Worst Ways to Sample<\/h2>\r\nPerhaps the worst types of sampling methods are <strong>convenience samples<\/strong> and <strong>voluntary response samples<\/strong>.\r\n<h3>Convenience Sampling<\/h3>\r\nA convenience sample is a sample of individuals who are most accessible to the researcher. A convenience sample is usually not random or representative of the population. This is an example of a <strong>biased<\/strong> sampling method because it has a tendency to produce samples that are not representative of the population. For example, you take a sample of your friends because it is easy to collect information about them.\r\n\r\n<section class=\"textbox keyTakeaway\">\r\n<div>\r\n<h3>convenience sampling<\/h3>\r\n<strong>Convenience sampling<\/strong> is the practice of choosing samples by selecting whoever is convenient.\r\n\r\n<\/div>\r\n<\/section>\r\n<h3>Voluntary Response Sampling<\/h3>\r\nVoluntary response sampling is a type of survey sampling where participants voluntarily decide whether or not to respond to a survey, rather than being randomly selected. It can result in a biased sample, as those who choose to participate may not be representative of the population being studied.\r\n\r\n<section class=\"textbox keyTakeaway\">\r\n<div>\r\n<h3>voluntary response sampling<\/h3>\r\n<strong>Voluntary response sampling<\/strong> is allowing the sample to volunteer.\r\n\r\n<\/div>\r\n<\/section><section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]683[\/ohm2_question]<\/section>\r\n\r\n<section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]684[\/ohm2_question]<\/section>\r\n\r\n<\/section><section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]685[\/ohm2_question]<\/section><section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]686[\/ohm2_question]<\/section><section class=\"textbox tryIt\">[ohm2_question hide_question_numbers=1]687[\/ohm2_question]<\/section>\r\n","rendered":"<h2>The Worst Ways to Sample<\/h2>\n<p>Perhaps the worst types of sampling methods are <strong>convenience samples<\/strong> and <strong>voluntary response samples<\/strong>.<\/p>\n<h3>Convenience Sampling<\/h3>\n<p>A convenience sample is a sample of individuals who are most accessible to the researcher. A convenience sample is usually not random or representative of the population. This is an example of a <strong>biased<\/strong> sampling method because it has a tendency to produce samples that are not representative of the population. For example, you take a sample of your friends because it is easy to collect information about them.<\/p>\n<section class=\"textbox keyTakeaway\">\n<div>\n<h3>convenience sampling<\/h3>\n<p><strong>Convenience sampling<\/strong> is the practice of choosing samples by selecting whoever is convenient.<\/p>\n<\/div>\n<\/section>\n<h3>Voluntary Response Sampling<\/h3>\n<p>Voluntary response sampling is a type of survey sampling where participants voluntarily decide whether or not to respond to a survey, rather than being randomly selected. It can result in a biased sample, as those who choose to participate may not be representative of the population being studied.<\/p>\n<section class=\"textbox keyTakeaway\">\n<div>\n<h3>voluntary response sampling<\/h3>\n<p><strong>Voluntary response sampling<\/strong> is allowing the sample to volunteer.<\/p>\n<\/div>\n<\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm683\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=683&theme=lumen&iframe_resize_id=ohm683&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm684\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=684&theme=lumen&iframe_resize_id=ohm684&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm685\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=685&theme=lumen&iframe_resize_id=ohm685&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm686\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=686&theme=lumen&iframe_resize_id=ohm686&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm687\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=687&theme=lumen&iframe_resize_id=ohm687&source=tnh\" width=\"100%\" height=\"150\"><\/iframe><\/section>\n","protected":false},"author":15,"menu_order":12,"template":"","meta":{"_candela_citation":"[]","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"part":86,"module-header":"learn_it","content_attributions":[],"internal_book_links":[],"video_content":null,"cc_video_embed_content":{"cc_scripts":"","media_targets":[]},"try_it_collection":null,"_links":{"self":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/1832"}],"collection":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/users\/15"}],"version-history":[{"count":11,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/1832\/revisions"}],"predecessor-version":[{"id":12446,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/1832\/revisions\/12446"}],"part":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/parts\/86"}],"metadata":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapters\/1832\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/media?parent=1832"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/pressbooks\/v2\/chapter-type?post=1832"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/contributor?post=1832"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/quantitativereasoning\/wp-json\/wp\/v2\/license?post=1832"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}