{"id":1997,"date":"2025-01-16T14:19:16","date_gmt":"2025-01-16T13:19:16","guid":{"rendered":"https:\/\/guillaume-guerard.com\/?page_id=1997"},"modified":"2025-01-16T14:27:36","modified_gmt":"2025-01-16T13:27:36","slug":"recherche-quasi-experimentale","status":"publish","type":"page","link":"https:\/\/guillaume-guerard.com\/en\/cours-de-methodologie\/recherche-quasi-experimentale\/","title":{"rendered":"Quasi-experimental research"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"1997\" class=\"elementor elementor-1997\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1cc0826 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1cc0826\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-4be82f2\" data-id=\"4be82f2\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5410eec elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"5410eec\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/guillaume-guerard.com\/en\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Welcome<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-065b8e1\" data-id=\"065b8e1\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8e659dd elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"8e659dd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/complex-systems-ai.com\/\" target=\"_blank\" rel=\"noopener\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Data Science<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4ea2679 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4ea2679\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f1ad0b6\" data-id=\"f1ad0b6\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ffb3f09 elementor-widget elementor-widget-heading\" data-id=\"ffb3f09\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 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\" style=\"cursor:inherit\">Page 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 Contents\"><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:\/\/guillaume-guerard.com\/en\/cours-de-methodologie\/recherche-quasi-experimentale\/#Plan_scientifique_la_recherche_quasi_experimentale\" >Scientific plan: quasi-experimental research<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/guillaume-guerard.com\/en\/cours-de-methodologie\/recherche-quasi-experimentale\/#Methodes_et_methodologies\" >Methods and methodologies<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/guillaume-guerard.com\/en\/cours-de-methodologie\/recherche-quasi-experimentale\/#Bonnes_pratiques\" >Good practices<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/guillaume-guerard.com\/en\/cours-de-methodologie\/recherche-quasi-experimentale\/#Ce_quil_faut_eviter\" >What to avoid<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/guillaume-guerard.com\/en\/cours-de-methodologie\/recherche-quasi-experimentale\/#Conclusion\" >Conclusion<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"ez-toc-section\" id=\"Plan_scientifique_la_recherche_quasi_experimentale\"><\/span>Scientific plan: quasi-experimental research<span class=\"ez-toc-section-end\"><\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c04e867 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c04e867\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-fae6647\" data-id=\"fae6647\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d86feae elementor-widget elementor-widget-text-editor\" data-id=\"d86feae\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Quasi-experimental research design is used to explore causal relationships in situations where randomization is not possible. Its goal is to evaluate the effect of an intervention or treatment while taking into account the absence of random assignment. For example, it can evaluate the impact of a new teaching strategy in schools where students cannot be randomly assigned to different classes. Although not as robust as randomized controlled trials (RCTs), quasi-experimental designs are useful for studying real-world interventions in practical settings.<\/p><p><img decoding=\"async\" class=\"alignnone wp-image-49 size-full\" src=\"http:\/\/guillaume-guerard.com\/wp-content\/uploads\/2023\/07\/logo_sc.png\" alt=\"recherche quasi exp\u00e9rimentale\" width=\"238\" height=\"203\" \/><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d6881f6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d6881f6\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a3c6f15\" data-id=\"a3c6f15\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ea773da elementor-widget elementor-widget-heading\" data-id=\"ea773da\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"ez-toc-section\" id=\"Methodes_et_methodologies\"><\/span>Methods and methodologies<span class=\"ez-toc-section-end\"><\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2a8fea9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2a8fea9\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-aeb0988\" data-id=\"aeb0988\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-239a74f elementor-widget elementor-widget-text-editor\" data-id=\"239a74f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Pre-test-post-test designs<\/strong> \u2013 Pre-test-post-test designs measure the dependent variable before and after an intervention or treatment. This <a href=\"https:\/\/guillaume-guerard.com\/en\/cours-de-methodologie\/parfaire-la-methodologie\/\">method<\/a> helps determine whether observed changes can be attributed to the intervention. For example, a study may assess the <a href=\"https:\/\/guillaume-guerard.com\/en\/cours-de-methodologie\/parfaire-la-section-resultats\/\">results<\/a> in mathematics of students before and after the implementation of a new program.<\/p><p><strong><a href=\"https:\/\/guillaume-guerard.com\/en\/cours-de-methodologie\/\">Methodology<\/a> :<\/strong><\/p><p>Researchers identify a treatment group exposed to the intervention and measure its performance or behavior before (pretest) and after (posttest) the intervention. Statistical techniques such as paired t-tests or repeated measures ANOVA assess the significance of observed changes. To strengthen validity, comparisons with an untreated control group or baseline data are often included.<\/p><p><strong>Matched groups<\/strong> \u2013 Matched-group designs involve creating treatment and comparison groups that are as similar as possible on key characteristics (e.g., age, socioeconomic status) to minimize confounding variables. For example, researchers can evaluate the effectiveness of a school program by matching participating students with nonparticipating students who have similar educational backgrounds.<\/p><p><strong>Methodology:<\/strong><\/p><p>Participants are matched on critical variables that may influence the results. One group receives the intervention while the other does not. Statistical methods such as ANCOVA (analysis of covariance) are used to adjust for baseline differences and compare results between groups. Matching helps reduce selection bias and improve the credibility of causal inferences.<\/p><p><strong>Interrupted time series models<\/strong> \u2013 Interrupted time series models examine trends in the dependent variable over multiple time points before and after an intervention. For example, a study might track traffic accident rates before and after the implementation of speed cameras.<\/p><p><strong>Methodology:<\/strong><\/p><p>Data are collected at regular intervals before and after the intervention to assess changes. Statistical analysis includes regression models with time variables to detect trend changes attributable to the intervention. This approach provides stronger evidence of causality when randomization is not possible.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-883f7b7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"883f7b7\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5059881\" data-id=\"5059881\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bb90dfa elementor-widget elementor-widget-heading\" data-id=\"bb90dfa\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"ez-toc-section\" id=\"Bonnes_pratiques\"><\/span>Good practices<span class=\"ez-toc-section-end\"><\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-af9726c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"af9726c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e74ed9d\" data-id=\"e74ed9d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0ae3bc1 elementor-widget elementor-widget-text-editor\" data-id=\"0ae3bc1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Careful correspondence<\/strong>\u00a0:<br \/>Use demographic or background characteristics to create comparable groups and minimize confounding variables.<\/p><p><strong>Include control groups<\/strong> :<br \/>Incorporate no-treatment or alternative treatment groups to strengthen causal inferences.<\/p><p><strong>Use statistical controls<\/strong> :<br \/>Apply methods such as regression analysis or ANCOVA to adjust for pre-existing differences and isolate intervention effects.<\/p><p><strong>Measure longitudinal outcomes<\/strong> :<br \/>Collect data over time to capture trends and provide stronger evidence of causal relationships.<\/p><p><strong>Perform sensitivity analyses<\/strong> :<br \/>Test the robustness of the results by exploring alternative matching strategies or statistical approaches.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b0c6e92 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b0c6e92\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2d674d8\" data-id=\"2d674d8\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b772076 elementor-widget elementor-widget-heading\" data-id=\"b772076\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"ez-toc-section\" id=\"Ce_quil_faut_eviter\"><\/span>What to avoid<span class=\"ez-toc-section-end\"><\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3133dcd elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3133dcd\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-705ad51\" data-id=\"705ad51\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ead525d elementor-widget elementor-widget-text-editor\" data-id=\"ead525d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Selection bias<\/strong>\u00a0:<br \/>Ignoring pre-existing differences between groups can distort results and reduce credibility.<\/p><p><strong>Over-reliance on pre-tests<\/strong> :<br \/>Without a control group, pre-test-post-test designs risk attributing changes to the intervention when they may be due to external factors.<\/p><p><strong>Confounding variables<\/strong> :<br \/>Failure to control for external influences that might affect the results compromises the validity of the results.<\/p><p><strong>Small or unbalanced samples<\/strong> :<br \/>Small sample sizes or unequal group sizes reduce statistical power and limit generalizability.<\/p><p><strong>Overgeneralization<\/strong> :<br \/>Avoid applying results from specific quasi-experimental settings to broader populations without careful consideration of limitations.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-be5908e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"be5908e\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e6eae4d\" data-id=\"e6eae4d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fd87e03 elementor-widget elementor-widget-heading\" data-id=\"fd87e03\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span>Conclusion<span class=\"ez-toc-section-end\"><\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ac49f08 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ac49f08\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-dbd3050\" data-id=\"dbd3050\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f4c79f9 elementor-widget elementor-widget-text-editor\" data-id=\"f4c79f9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Quasi-experimental research design is a versatile and practical method for exploring causal relationships when randomization is not possible. By using approaches such as pretest-posttest, matched groups, and interrupted time series designs, researchers can minimize bias and make credible inferences about intervention effects. Adherence to best practices and addressing common pitfalls ensures the reliability and validity of quasi-experimental studies, making them an essential tool in applied research and policy contexts.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Home Data Science Scientific Plan: Quasi-experimental Research Quasi-experimental research design is used to explore \u2026 <\/p>","protected":false},"author":1,"featured_media":0,"parent":47,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"footnotes":""},"class_list":["post-1997","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/guillaume-guerard.com\/en\/wp-json\/wp\/v2\/pages\/1997","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/guillaume-guerard.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/guillaume-guerard.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/guillaume-guerard.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/guillaume-guerard.com\/en\/wp-json\/wp\/v2\/comments?post=1997"}],"version-history":[{"count":7,"href":"https:\/\/guillaume-guerard.com\/en\/wp-json\/wp\/v2\/pages\/1997\/revisions"}],"predecessor-version":[{"id":2008,"href":"https:\/\/guillaume-guerard.com\/en\/wp-json\/wp\/v2\/pages\/1997\/revisions\/2008"}],"up":[{"embeddable":true,"href":"https:\/\/guillaume-guerard.com\/en\/wp-json\/wp\/v2\/pages\/47"}],"wp:attachment":[{"href":"https:\/\/guillaume-guerard.com\/en\/wp-json\/wp\/v2\/media?parent=1997"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}