{"id":10566,"date":"2024-11-25T07:56:39","date_gmt":"2024-11-25T07:56:39","guid":{"rendered":"https:\/\/researcher.life\/blog\/?p=10566"},"modified":"2025-07-23T13:03:04","modified_gmt":"2025-07-23T13:03:04","slug":"what-is-quasi-experimental-design-definition-types-and-examples","status":"publish","type":"post","link":"https:\/\/researcher.life\/blog\/article\/what-is-quasi-experimental-design-definition-types-and-examples\/","title":{"rendered":"What is Quasi-Experimental Design? Definition, Types, and Examples"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-10567\" src=\"https:\/\/blog.researcher.life\/wp-content\/uploads\/2024\/12\/doctors-working-together-medical-research-1.jpg\" alt=\"\" width=\"1920\" height=\"1280\" srcset=\"https:\/\/blog.researcher.life\/wp-content\/uploads\/2024\/12\/doctors-working-together-medical-research-1.jpg 1920w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2024\/12\/doctors-working-together-medical-research-1-300x200.jpg 300w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2024\/12\/doctors-working-together-medical-research-1-1024x683.jpg 1024w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2024\/12\/doctors-working-together-medical-research-1-768x512.jpg 768w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2024\/12\/doctors-working-together-medical-research-1-1536x1024.jpg 1536w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/><\/p>\n<p><span data-contrast=\"auto\">An experimental design is the process of planning and organizing scientific experiments to obtain useful results from collected data. Experimental design is an important aspect of the scientific method because it ensures the validity and reliability of the information extracted from available data. In several experimental designs, objects or participants are randomly assigned to an experimental group to avoid any type of bias; these are called true experiments.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">A <\/span><span data-contrast=\"auto\">quasi-experimental design<\/span><span data-contrast=\"auto\"> is a study design in which participants cannot be randomly assigned to an experimental or control group for practical or ethical reasons. However, like a true experiment, it is used to evaluate the effects of an intervention, or in other words, to establish a cause-and effect relationship between independent and dependent variables. The intervention could be a training program, a policy change, a medical treatment, etc. In such <\/span><span data-contrast=\"auto\">quasi-experimental designs<\/span><span data-contrast=\"auto\">, the assignment of participants is usually based on self-selection or selection by an administrator or researcher.\u00a0<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This article will provide the <\/span><span data-contrast=\"auto\">quasi-experimental design definition<\/span><span data-contrast=\"auto\"> and will describe in detail the types and uses of such experimental designs and their similarities and differences with true experiments.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<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-quasi-experimental-design-definition-types-and-examples\/#What_is_Quasi-Experimental%E2%80%AFResearch\" title=\"What is Quasi-Experimental\u202fResearch?\u00a0\">What is Quasi-Experimental\u202fResearch?\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-quasi-experimental-design-definition-types-and-examples\/#When_to_Use_Quasi-Experimental%E2%80%AFResearch\" title=\"When to Use Quasi-Experimental\u202fResearch?\u00a0\u00a0\">When to Use Quasi-Experimental\u202fResearch?\u00a0\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-quasi-experimental-design-definition-types-and-examples\/#Differences_Between_Quasi_Experiments_and_True_Experiments\" title=\"Differences Between Quasi Experiments and True Experiments\u00a0\u00a0\">Differences Between Quasi Experiments and True Experiments\u00a0\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-quasi-experimental-design-definition-types-and-examples\/#Types_of_Quasi-Experimental_Designs\" title=\"Types of Quasi-Experimental Designs\u00a0\u00a0\">Types of Quasi-Experimental Designs\u00a0\u00a0<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/researcher.life\/blog\/article\/what-is-quasi-experimental-design-definition-types-and-examples\/#Non-equivalent_Groups_Design\" title=\"Non-equivalent Groups Design\u00a0\">Non-equivalent Groups Design\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/researcher.life\/blog\/article\/what-is-quasi-experimental-design-definition-types-and-examples\/#Pretest%E2%80%93Posttest_Design\" title=\"Pretest\u2013Posttest Design\u00a0\">Pretest\u2013Posttest Design\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/researcher.life\/blog\/article\/what-is-quasi-experimental-design-definition-types-and-examples\/#Combination_Design\" title=\"Combination Design\u00a0\">Combination Design\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/researcher.life\/blog\/article\/what-is-quasi-experimental-design-definition-types-and-examples\/#Interrupted_Time_Series_Design\" title=\"Interrupted Time Series Design\u00a0\">Interrupted Time Series Design\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/researcher.life\/blog\/article\/what-is-quasi-experimental-design-definition-types-and-examples\/#Regression_Discontinuity_Design\" title=\"Regression Discontinuity Design\u00a0\">Regression Discontinuity Design\u00a0<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/researcher.life\/blog\/article\/what-is-quasi-experimental-design-definition-types-and-examples\/#Advantages_and_Disadvantages_of_Quasi-Experimental_Designs\" title=\"Advantages and Disadvantages of Quasi-Experimental Designs\u00a0\">Advantages and Disadvantages of Quasi-Experimental Designs\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/researcher.life\/blog\/article\/what-is-quasi-experimental-design-definition-types-and-examples\/#Frequently_Asked_Questions\" title=\"Frequently Asked Questions\u00a0\u00a0\">Frequently Asked Questions\u00a0\u00a0<\/a><\/li><\/ul><\/nav><\/div>\n\n<h2><span class=\"ez-toc-section\" id=\"What_is_Quasi-Experimental%E2%80%AFResearch\"><\/span><b><span data-contrast=\"auto\">What is <\/span><\/b><b><span data-contrast=\"auto\">Quasi-Experimental\u202fResearch<\/span><\/b><b><span data-contrast=\"auto\">?<\/span><\/b><span data-ccp-props=\"{&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span data-contrast=\"auto\">The prefix \u201cquasi\u201d means \u201cresembling to a certain degree.\u201d Accordingly, the definition of <\/span><span data-contrast=\"auto\">quasi-experimental research<\/span><span data-contrast=\"auto\">1,2<\/span><span data-contrast=\"auto\"> is that it is a type of research that resembles true experimental research but is not the exact same concept. A <\/span><span data-contrast=\"auto\">true experimental design<\/span><span data-contrast=\"auto\"> has three characteristics\u2014manipulation of the independent variable, presence of a control group, and random assignment of participants to experimental groups.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">In <\/span><span data-contrast=\"auto\">quasi-experimental research<\/span><span data-contrast=\"auto\">, although the independent variable is manipulated, either the participants are not randomly assigned to groups or there is no control group. This is the main difference between quasi and true experiments.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">In <\/span><span data-contrast=\"auto\">quasi-experimental research<\/span><span data-contrast=\"auto\">, the directionality problem (that is, the relationship between two variables is known but the cause and effect is not known) doesn\u2019t exist because of the ability to manipulate independent variables. However, this type of research doesn\u2019t eliminate the problem of confounding variables (an extraneous variable that is not controlled in a study and could affect other variables, resulting in distorted associations between the variables) because <\/span><span data-contrast=\"auto\">quasi-experimental research<\/span><span data-contrast=\"auto\"> doesn\u2019t involve random assignment. Consequently, <\/span><span data-contrast=\"auto\">quasi-experimental research<\/span><span data-contrast=\"auto\"> is lower in internal validity (the extent to which a study can establish a cause-and-effect relationship between variables) than true experiments.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Quasi-experimental research<\/span><span data-contrast=\"auto\"> is most common in field studies where random assignment is either difficult or impossible. This type of research is often conducted to analyze the effectiveness of a specific treatment. Some of the important <\/span><span data-contrast=\"auto\">types of quasi-experimental research designs<\/span><span data-contrast=\"auto\"> are\u2014non-equivalent group design, pretest\u2013posttest design, interrupted time series design, combination design, and regression discontinuity design. After understanding the <\/span><span data-contrast=\"auto\">quasi experimental design meaning<\/span><span data-contrast=\"auto\">, let\u2019s look at when to use this.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{}\"> <a href=\"https:\/\/researcher.life\/?utm_source=contentmarketing&amp;utm_medium=rblog&amp;utm_campaign=quasi-experimental-research\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-9683 size-large\" src=\"https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/03\/AAP-Banner-3-1024x410.png\" alt=\"\" width=\"640\" height=\"256\" srcset=\"https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/03\/AAP-Banner-3-1024x410.png 1024w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/03\/AAP-Banner-3-300x120.png 300w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/03\/AAP-Banner-3-768x307.png 768w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/03\/AAP-Banner-3-1536x615.png 1536w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/03\/AAP-Banner-3-2048x820.png 2048w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"When_to_Use_Quasi-Experimental%E2%80%AFResearch\"><\/span><b><span data-contrast=\"auto\">When to Use <\/span><\/b><b><span data-contrast=\"auto\">Quasi-Experimental\u202fResearch<\/span><\/b><b><span data-contrast=\"auto\">?\u00a0<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span data-contrast=\"auto\">In some situations, using randomization to assign participants to groups may be unethical (for example, providing a specific health treatment to one group and withholding it from the other group). In such cases, <\/span><span data-contrast=\"auto\">quasi-experimental research<\/span><span data-contrast=\"auto\"> can be used to identify a causal relationship without any ethical or practical challenges.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The following list describes some instances, with examples, where <\/span><span data-contrast=\"auto\">quasi-experimental research designs<\/span><span data-contrast=\"auto\"> would be more appropriate.<\/span><span data-contrast=\"auto\">3,4<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ol>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"7\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">When being in one group could be harmful to the participants<\/span><\/b><span data-contrast=\"auto\"> either because the intervention is harmful (e.g., randomizing people to smoking), or the intervention has questionable efficacy, or it is so beneficial that it wouldn\u2019t be appropriate to withhold the intervention from the control group (e.g., randomizing people to receive a minor surgery).<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"7\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">When interventions act on a group of people in a specific location<\/span><\/b><span data-contrast=\"auto\">, it becomes difficult to adequately randomize participants (e.g., an intervention that reduces pollution in a specific area).<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"7\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">When working with small sample sizes, <\/span><\/b><span data-contrast=\"auto\">because randomized controlled trials require a large sample size to ensure even distribution of confounding variables between the treatment and control groups.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ol>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-11408\" src=\"https:\/\/blog.researcher.life\/wp-content\/uploads\/2024\/11\/PDF-Banner-3.png\" alt=\"\" width=\"2136\" height=\"351\" srcset=\"https:\/\/blog.researcher.life\/wp-content\/uploads\/2024\/11\/PDF-Banner-3.png 2136w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2024\/11\/PDF-Banner-3-300x49.png 300w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2024\/11\/PDF-Banner-3-1024x168.png 1024w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2024\/11\/PDF-Banner-3-768x126.png 768w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2024\/11\/PDF-Banner-3-1536x252.png 1536w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2024\/11\/PDF-Banner-3-2048x337.png 2048w\" sizes=\"auto, (max-width: 2136px) 100vw, 2136px\" \/><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Differences_Between_Quasi_Experiments_and_True_Experiments\"><\/span><b><span data-contrast=\"auto\">Differences Between Quasi Experiments and True Experiments\u00a0<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span data-contrast=\"auto\">Unsure about choosing between <\/span><span data-contrast=\"auto\">experimental and quasi-experimental design<\/span><span data-contrast=\"auto\"> for your research? Take a look at the main differences between quasi and true experiments as depicted in the following table.<\/span><span data-contrast=\"auto\">4,5<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<table data-tablestyle=\"MsoTableGrid\" data-tablelook=\"1184\" aria-rowcount=\"8\">\n<tbody>\n<tr aria-rowindex=\"1\">\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Characteristic<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Quasi Experiments<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">True Experiments<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"2\">\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Assignment<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Participants are not randomly assigned to treatment groups but rather divided into categories and included in treatment groups per participants\u2019 or researcher\u2019s choice<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Participants are randomly assigned to treatment groups and thus have an equal chance of being included in any group<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"3\">\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Design<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Researchers don\u2019t design a treatment<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Researchers design the treatment that will be administered to the participants<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"4\">\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Control group<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Control groups may not always be necessary<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Include both control and treatment groups<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"5\">\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Pretest<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Include a pretest<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Do not include a pretest<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"6\">\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Level of evidence<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">One level below experimental studies in the hierarchy of evidence<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">At the highest level<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"7\">\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Advantages<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"8\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Can be used when true experiments may not be feasible or ethical<\/span><span data-ccp-props=\"{&quot;335559685&quot;:160,&quot;335559991&quot;:180}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"8\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Good for smaller sample sizes<\/span><span data-ccp-props=\"{&quot;335559685&quot;:160,&quot;335559991&quot;:180}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"8\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Less expensive, require fewer resources<\/span><span data-ccp-props=\"{&quot;335559685&quot;:160,&quot;335559991&quot;:180}\">\u00a0<\/span><\/li>\n<\/ul>\n<\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Minimize bias and confounding<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"8\">\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Disadvantages<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">The absence of randomization leads to the study being more susceptible to bias and confounding<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\">\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"9\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Cost intensive (because of the large sample size)<\/span><span data-ccp-props=\"{&quot;335559685&quot;:250,&quot;335559991&quot;:270}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"9\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Ethical and practical limitations<\/span><span data-ccp-props=\"{&quot;335559685&quot;:250,&quot;335559991&quot;:270}\">\u00a0<\/span><\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span data-ccp-props=\"{}\"> <a href=\"https:\/\/rdiscoverymarketing.page.link\/quasi-experimental-research\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-6729 size-full\" src=\"https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/08\/blog-banner_collaborative-list.png\" alt=\"\" width=\"656\" height=\"250\" srcset=\"https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/08\/blog-banner_collaborative-list.png 656w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/08\/blog-banner_collaborative-list-300x114.png 300w\" sizes=\"auto, (max-width: 656px) 100vw, 656px\" \/><\/a><\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Types_of_Quasi-Experimental_Designs\"><\/span><b><span data-contrast=\"auto\">Types of Quasi-Experimental Designs<\/span><\/b><b><span data-contrast=\"auto\">\u00a0<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span data-contrast=\"auto\">Here are some common <\/span><span data-contrast=\"auto\">types of quasi-experimental designs<\/span><span data-contrast=\"auto\">.[<\/span><span data-contrast=\"auto\">1,5]<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Non-equivalent_Groups_Design\"><\/span><b><span data-contrast=\"none\">Non-equivalent Groups Design<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span data-contrast=\"auto\">In a between-subjects experimental design, participants are randomly divided into two or more groups and each group is assigned a treatment condition, the outcomes of which are then compared. In such designs, the resulting groups are quite similar and are considered equivalent. However, when participants are not randomly assigned, the groups will be dissimilar and are therefore considered non-equivalent. The groups may have preexisting differences that could affect the outcome of the study because it becomes difficult to attribute any observed changes solely to the intervention being studied. This type of research design is one of the most common <\/span><span data-contrast=\"auto\">quasi-experimental designs<\/span><span data-contrast=\"auto\">.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Pretest%E2%80%93Posttest_Design\"><\/span><b><span data-contrast=\"none\">Pretest\u2013Posttest Design<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span data-contrast=\"auto\">In this type of research design, the dependent variable is measured once before the treatment begins and once after the treatment. For example, a researcher interested in studying the effectiveness of a public-speaking short seminar on elementary school students\u2019 speaking skills could analyze the skills of the children before the course and then after the course to identify any changes. This type of <\/span><span data-contrast=\"auto\">quasi-experimental design<\/span><span data-contrast=\"auto\"> is similar to a within-subjects experiment in which each participant is tested first under the control condition and then under the treatment condition. If the average posttest score is better than the average pretest score, it implies that the treatment may be responsible for the improvement. This research design may or may not include control groups and may be prone to internal validity risk (this is the main difference of this design with the non-equivalent groups design). One advantage of this <\/span><span data-contrast=\"auto\">quasi-experimental design<\/span><span data-contrast=\"auto\"> is that it provides directionality because the dependent variable is tested both before and after the intervention.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Combination_Design\"><\/span><b><span data-contrast=\"none\">Combination Design<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span data-contrast=\"auto\">This type of <\/span><span data-contrast=\"auto\">quasi-experimental design<\/span><span data-contrast=\"auto\"> combines both pretest\u2013posttest and non-equivalent groups designs. In this research design, a treatment group is given a pretest, receives a treatment, and then is given a posttest. The control group is also given a pretest, but does not receive the treatment, and then is given a posttest.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Interrupted_Time_Series_Design\"><\/span><b><span data-contrast=\"none\">Interrupted Time Series Design<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span data-contrast=\"auto\">A time series is a set of measurements taken at multiple and equally spaced intervals over a period of time before and after an intervention. The main objective of this type of <\/span><span data-contrast=\"auto\">quasi-experimental design<\/span><span data-contrast=\"auto\"> is to assess whether the observations before and after the intervention are different. For example, a company wants to measure its employees\u2019 productivity per week for a year. In this type of research design, a time series is \u201cinterrupted\u201d by a treatment. In this same example, the company reduced work hours from 10 hours to 8 hours. This measure was found to increase the productivity quickly and it remained elevated for several months. This would help researchers conclude that reduced work hours increased productivity.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Regression_Discontinuity_Design\"><\/span><b><span data-contrast=\"none\">Regression Discontinuity Design<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span data-contrast=\"auto\">This <\/span><span data-contrast=\"auto\">quasi-experimental design<\/span><span data-contrast=\"auto\"> assesses the influence of a treatment or intervention by using a mechanism that assigns the treatment based on eligibility, or a \u201ccut-off point\u201d of some known variable, such as age and income. This specific threshold value or cut-off score is used to assign participants to treatment groups and helps researchers compare the effectiveness of an intervention on participants immediately above and below the cut-off point.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/paperpal.com\/?utm_source=contentmarketing&amp;utm_medium=rblog&amp;utm_campaign=quasi-experimental-research\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-5463 size-full\" src=\"https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/03\/RPaperpal_BlogBanners-1_02_.png\" alt=\"\" width=\"640\" height=\"139\" srcset=\"https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/03\/RPaperpal_BlogBanners-1_02_.png 640w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/03\/RPaperpal_BlogBanners-1_02_-300x65.png 300w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Advantages_and_Disadvantages_of_Quasi-Experimental_Designs\"><\/span><b><span data-contrast=\"auto\">Advantages and Disadvantages of <\/span><\/b><b><span data-contrast=\"auto\">Quasi-Experimental Designs<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span data-contrast=\"auto\">Here are a few important advantages and disadvantages of <\/span><span data-contrast=\"auto\">quasi-experimental designs<\/span><span data-contrast=\"auto\">.<\/span><span data-contrast=\"auto\">3,6<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"none\">Advantages of <\/span><\/b><b><span data-contrast=\"none\">Quasi-Experimental Designs<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ol>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Higher external validity<\/span><\/b><span data-contrast=\"auto\">: <\/span><span data-contrast=\"auto\">Quasi-experimental designs<\/span><span data-contrast=\"auto\"> are more practical with more real-world applications and therefore may be more generalizable.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Higher control over targeted hypotheses<\/span><\/b><span data-contrast=\"auto\">: Because there is no randomization of participants, the dependent variables can be more controlled, targeted, and efficient.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Can be combined with other methodologies<\/span><\/b><span data-contrast=\"auto\">: <\/span><span data-contrast=\"auto\">Quasi-experimental design<\/span><span data-contrast=\"auto\"> can be combined with statistical analyses and results of other true experiments, which can significantly reduce research time.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"3\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Less expensive and time consuming <\/span><\/b><span data-contrast=\"auto\">than randomized controlled trials and require fewer resources.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ol>\n<p><b><span data-contrast=\"none\">Disadvantages of <\/span><\/b><b><span data-contrast=\"none\">Quasi-Experimental Designs<\/span><\/b><span data-contrast=\"auto\">\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ol>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"4\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Randomization is not used<\/span><\/b><span data-contrast=\"auto\">, so the study is not useful for concluding a causal relationship between an intervention and an outcome.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"4\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Lower internal validity<\/span><\/b><span data-contrast=\"auto\">: Because the variables can be controlled, it\u2019s difficult to know if researchers have used all confounding variables.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"4\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Risk of inaccurate data<\/span><\/b><span data-contrast=\"auto\">: <\/span><span data-contrast=\"auto\">Quasi-experimental design<\/span><span data-contrast=\"auto\"> often borrows data from other research so the data may not necessarily be complete or accurate.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"4\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Risk of bias<\/span><\/b><span data-contrast=\"auto\">: Researchers choose baseline elements and eligibility so there\u2019s a risk of researcher bias. The types of selection bias that can occur in <\/span><span data-contrast=\"auto\">quasi-experimental design<\/span><span data-contrast=\"auto\"> include maturation bias, historical bias, instrumentation bias, and Hawthorne effect.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ol>\n<p><b><span data-contrast=\"auto\">Key Takeaways<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"12\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Both <\/span><span data-contrast=\"auto\">experimental and quasi-experimental design<\/span><span data-contrast=\"auto\">s are used to evaluate the effectiveness of a treatment.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"12\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Quasi experiments differ from true experiments in several aspects:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"o\" data-font=\"Courier New\" data-listid=\"12\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"2\"><span data-contrast=\"auto\">Participants cannot be randomly selected or assigned to treatment groups for practical or ethical reasons.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"o\" data-font=\"Courier New\" data-listid=\"12\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"2\"><span data-contrast=\"auto\">A control group may or may not be necessary<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"12\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Quasi experiments have high external validity, are useful for smaller sample sizes, are less expensive, and they require fewer resources.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"12\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">Quasi-experimental designs<\/span><span data-contrast=\"auto\"> have low internal validity, and the absence of randomization leads to a risk of bias and confounding.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"12\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"5\" data-aria-level=\"1\"><span data-contrast=\"auto\">Some of the important <\/span><span data-contrast=\"auto\">types of quasi-experimental designs<\/span><span data-contrast=\"auto\"> are\u2014non-equivalent group design, pretest\u2013posttest design, interrupted time series design, combination design, and regression discontinuity design.<\/span><span data-ccp-props=\"{&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-ccp-props=\"{}\"><a href=\"https:\/\/researcher.life\/?utm_source=contentmarketing&amp;utm_medium=rblog&amp;utm_campaign=quasi-experimental-research\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-9685 size-large\" src=\"https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/03\/AAP-Banner-2-1024x410.png\" alt=\"\" width=\"640\" height=\"256\" srcset=\"https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/03\/AAP-Banner-2-1024x410.png 1024w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/03\/AAP-Banner-2-300x120.png 300w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/03\/AAP-Banner-2-768x307.png 768w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/03\/AAP-Banner-2-1536x615.png 1536w, https:\/\/blog.researcher.life\/wp-content\/uploads\/2023\/03\/AAP-Banner-2-2048x820.png 2048w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span><b><span data-contrast=\"auto\">Frequently Asked Questions\u00a0<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><b><i><span data-contrast=\"auto\">Q1. What is the main purpose of <\/span><\/i><\/b><b><i><span data-contrast=\"auto\">quasi-experimental research<\/span><\/i><\/b><b><i><span data-contrast=\"auto\">?<\/span><\/i><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">A1. The main purpose of <\/span><span data-contrast=\"auto\">quasi-experimental research<\/span><span data-contrast=\"auto\"> is to establish a cause-and-effect relationship between variables and assess the impact of an intervention on the outcome, in the absence of randomization.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><i><span data-contrast=\"auto\">Q2. What are some applications of <\/span><\/i><\/b><b><i><span data-contrast=\"auto\">quasi-experimental design<\/span><\/i><\/b><b><i><span data-contrast=\"auto\"> in research?<\/span><\/i><\/b><span data-ccp-props=\"{&quot;335559991&quot;:90}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">A2. <\/span><span data-contrast=\"auto\">Quasi-experimental designs<\/span><span data-contrast=\"auto\"> can be used in different disciplines, some of which are mentioned below.<\/span><span data-contrast=\"auto\">7<\/span><span data-ccp-props=\"{&quot;335559991&quot;:90}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"11\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:630,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Education<\/span><\/b><b><span data-contrast=\"auto\">: <\/span><\/b><span data-contrast=\"auto\">Quasi-experimental design<\/span><span data-contrast=\"auto\"> can be used in education to assess the effectiveness of diverse interventions, such as new teaching measures and tools, curriculum changes, teacher training, policy changes, etc.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:270}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"11\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:630,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Healthcare:<\/span><\/b><span data-contrast=\"auto\"> To analyze the effectiveness of new medicines, dosages, medical equipment, etc.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:270}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"11\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:630,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Psychology:<\/span><\/b><span data-contrast=\"auto\"> To study the influence of factors such as trauma, geographic changes, social media, etc., on behavior.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:270}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"11\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:630,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"4\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Public policy:<\/span><\/b><span data-contrast=\"auto\"> To examine the influence of policy changes and government reforms on the public, such as the effect of new tax reforms on spending power.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:270}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"11\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:630,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"5\" data-aria-level=\"1\"><b><span data-contrast=\"auto\">Business and marketing:<\/span><\/b><span data-contrast=\"auto\"> To analyze the effects of new products, advertisements through different media, product design, etc., on consumer behavior and the purchasing trends of consumers.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:270}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><b><i><span data-contrast=\"auto\">Q3. What are a few real-world <\/span><\/i><\/b><b><i><span data-contrast=\"auto\">quasi-experimental research examples<\/span><\/i><\/b><b><i><span data-contrast=\"auto\">?<\/span><\/i><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">A3. Here are a few <\/span><span data-contrast=\"auto\">quasi-experimental research examples<\/span><span data-contrast=\"auto\"> in the real-world setting.<\/span><span data-contrast=\"auto\">7<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Education<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">To study the effectiveness of a new or updated educational program or curriculum, you could use the non-equivalent groups design method to select two schools with comparable features within the same district, introduce the new program in one, and retain the existing programs in the other. Comparison between the schools after a specific period can help ascertain whether the new program was effective or not. Random assignment of the schools or student groups would not have been appropriate because it could have been rendered advantageous or disadvantageous to either group.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Healthcare<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Quasi-experimental research<\/span><span data-contrast=\"auto\"> can be helpful in analyzing the effectiveness of public health interventions such as vaccination campaigns. A time-series <\/span><span data-contrast=\"auto\">quasi-experimental design<\/span><span data-contrast=\"auto\"> would be useful in understanding the effect of vaccination over a prolonged period by studying disease incidence rates before and after vaccination.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Workplace<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">A company can evaluate the effectiveness of a technical skills training program for its employees using the pretest-posttest <\/span><span data-contrast=\"auto\">quasi-experimental design<\/span><span data-contrast=\"auto\">. The technical skills of the employees can be tested both before and after they participate in the training. This research design focuses on immediate impact unlike the time series design, which focuses on the impact over a long period.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">A <\/span><span data-contrast=\"auto\">quasi-experimental design<\/span><span data-contrast=\"auto\"> is thus very similar to true experiments, with the same objective of assessing the effectiveness of interventions in various fields. However, it has certain characteristically important differences, which render such designs useful in situations where conducting a true experiment may not be ethical or practical. We hope this article would have expanded your knowledge of <\/span><span data-contrast=\"auto\">experimental and quasi-experimental designs<\/span><span data-contrast=\"auto\"> and will help you in selecting the appropriate design for your research.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">References<\/span><\/b><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ol>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"13\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Price PC, Jhangiani R, Chiang I-C A. Quasi-experimental research. Research Methods in Psychology \u2013 2<\/span><span data-contrast=\"auto\">nd<\/span><span data-contrast=\"auto\"> Canadian edition. BCCampus website. Accessed November 12, 2024. <\/span><a href=\"https:\/\/opentextbc.ca\/researchmethods\/chapter\/quasi-experimental-research\/\"><span data-contrast=\"none\">https:\/\/opentextbc.ca\/researchmethods\/chapter\/quasi-experimental-research\/<\/span><\/a><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"13\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Price PC et al. Chapter 8: Quasi-experimental research. Research Methods in Psychology. Accessed November 13, 2024. <\/span><a href=\"https:\/\/opentext.wsu.edu\/carriecuttler\/part\/chapter-8-quasi-experimental-research\/\"><span data-contrast=\"none\">https:\/\/opentext.wsu.edu\/carriecuttler\/part\/chapter-8-quasi-experimental-research\/<\/span><\/a><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"13\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Quasi-experimental design: Types, examples, pros, and cons. MasterClass website. Published June 16, 2022. Accessed November 14, 2024. <\/span><a href=\"https:\/\/www.masterclass.com\/articles\/quasi-experimental?&amp;campaignid=20647728921&amp;adgroupid=161385380344&amp;adid=701285819413&amp;utm_term=&amp;utm_campaign=%5BMC%5D+%7C+Search+%7C+NonBrand+%7C+Category_DSA+Consolidated+%7C+ALL+%7C+EN+%7C+tCPA+%7C+EG&amp;utm_source=google&amp;utm_medium=search&amp;utm_content=701285819413&amp;hsa_acc=9801000675&amp;hsa_cam=17057064710&amp;hsa_grp=161385380344&amp;hsa_ad=701285819413&amp;hsa_src=g&amp;hsa_tgt=dsa-1456167871416&amp;hsa_kw=&amp;hsa_mt=&amp;hsa_net=adwords&amp;hsa_ver=3&amp;gad_source=1&amp;gclid=CjwKCAiAudG5BhAREiwAWMlSjNSBKwZY9wUPHy1W6uMGMe4_kHDKJA4i8nooFzjrXLr1bXl9YHn_9xoCiBwQAvD_BwE&amp;gclsrc=aw.ds\"><span data-contrast=\"none\">https:\/\/www.masterclass.com\/articles\/quasi-experimental<\/span><\/a><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"13\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Choueiry G. Experimental vs. quasi-experimental design: Which to choose? Quantifying Health. Accessed November 14, 2024. <\/span><a href=\"https:\/\/quantifyinghealth.com\/experimental-vs-quasi-experimental-design\/\"><span data-contrast=\"none\">https:\/\/quantifyinghealth.com\/experimental-vs-quasi-experimental-design\/<\/span><\/a><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"13\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Explaining quasi-experimental design and its various methods. Voxco. Published September 17, 2021. Accessed November 15, 2024. <\/span><a href=\"https:\/\/www.voxco.com\/blog\/quasi-experimental-design-explanation-methods-and-faqs\/\"><span data-contrast=\"none\">https:\/\/www.voxco.com\/blog\/quasi-experimental-design-explanation-methods-and-faqs\/<\/span><\/a><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"13\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Schweizer ML, Braun BI, Milstone AM. Research methods in healthcare epidemiology and antimicrobial stewardship-quasi experimental designs. <\/span><i><span data-contrast=\"auto\">Infect Control Hosp Epidemiol<\/span><\/i><span data-contrast=\"auto\">. 2016;37(10):1135-40. doi:10.1017\/ice.2016.117. Accessed November 16, 2024. <\/span><a href=\"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC5036994\/\"><span data-contrast=\"none\">https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC5036994\/<\/span><\/a><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li data-leveltext=\"%1.\" data-font=\"\" data-listid=\"13\" data-list-defn-props=\"{&quot;335552541&quot;:0,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769242&quot;:[65533,0],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;%1.&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Quasi-experimental design: Rigor meets real-world conditions. Servicescape. Published October 4, 2023. Accessed November 18, 2024. <\/span><a href=\"https:\/\/www.servicescape.com\/blog\/quasi-experimental-design-rigor-meets-real-world-conditions\"><span data-contrast=\"none\">https:\/\/www.servicescape.com\/blog\/quasi-experimental-design-rigor-meets-real-world-conditions<\/span><\/a><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ol>\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=quasi-experimental-research\"><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=quasi-experimental-research\"><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>An experimental design is the process of planning and organizing scientific experiments to obtain useful results from collected data. Experimental design is an important aspect<\/p>\n","protected":false},"author":42,"featured_media":10567,"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":[156,918],"class_list":["post-10566","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research-tips","category-researcher-life","tag-academic-research","tag-quasi-experimental-research"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>What is Quasi-Experimental Design? Definition, Types, and Examples | Researcher.Life<\/title>\n<meta name=\"description\" content=\"Learn what quasi-experimental design is with practical examples. Understand how it works and why it&#039;s important in research methodologies.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/researcher.life\/blog\/article\/what-is-quasi-experimental-design-definition-types-and-examples\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is Quasi-Experimental Design? Definition, Types, and Examples | Researcher.Life\" \/>\n<meta property=\"og:description\" content=\"Learn what quasi-experimental design is with practical examples. 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