{"id":2009,"date":"2025-01-23T11:27:50","date_gmt":"2025-01-23T10:27:50","guid":{"rendered":"https:\/\/guillaume-guerard.com\/?page_id=2009"},"modified":"2025-01-23T12:31:33","modified_gmt":"2025-01-23T11:31:33","slug":"recherche-transversale","status":"publish","type":"page","link":"https:\/\/guillaume-guerard.com\/en\/cours-de-methodologie\/recherche-transversale\/","title":{"rendered":"Cross-sectional research"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"2009\" class=\"elementor elementor-2009\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7cc009b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7cc009b\" 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-9da41eb\" data-id=\"9da41eb\" 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-b2b0d6b elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"b2b0d6b\" 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-1b81515\" data-id=\"1b81515\" 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-8aa98f5 elementor-align-justify elementor-widget elementor-widget-button\" data-id=\"8aa98f5\" 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-49b25cc elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"49b25cc\" 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-68c5450\" data-id=\"68c5450\" 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-7428ad0 elementor-widget elementor-widget-heading\" data-id=\"7428ad0\" 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-transversale\/#Plan_scientifique_la_recherche_transversale\" >Scientific plan: cross-disciplinary 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-transversale\/#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-transversale\/#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-transversale\/#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-transversale\/#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_transversale\"><\/span>Scientific plan: cross-disciplinary 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-b963007 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b963007\" 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-fcbcb96\" data-id=\"fcbcb96\" 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-69725de elementor-widget elementor-widget-text-editor\" data-id=\"69725de\" 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>Cross-sectional research focuses on analyzing data from a population or phenomenon at a specific point in time. Its goal is to provide insight into variables such as behaviors, characteristics, or conditions, without assessing changes over time. This design is widely used in fields such as public health, social sciences, and market research. For example, it might assess the prevalence of smartphone use among adolescents or assess voting preferences before an election. Cross-sectional research is useful for identifying patterns, trends, and relationships within a population.<\/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 transversale\" 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-0615541 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0615541\" 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-613de89\" data-id=\"613de89\" 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-37e1ad3 elementor-widget elementor-widget-heading\" data-id=\"37e1ad3\" 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-477c41d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"477c41d\" 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-e750727\" data-id=\"e750727\" 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-63ec251 elementor-widget elementor-widget-text-editor\" data-id=\"63ec251\" 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>Investigations<\/strong> \u2013 Investigations are a <a href=\"https:\/\/guillaume-guerard.com\/en\/cours-de-methodologie\/parfaire-la-methodologie\/\">method<\/a> principal in cross-sectional research, enabling the efficient collection of large volumes of data through questionnaires or structured interviews. For example, a survey might explore customer satisfaction with a product across different demographic groups.<\/p><p><strong><a href=\"https:\/\/guillaume-guerard.com\/en\/cours-de-methodologie\/\">Methodology<\/a> :<\/strong><\/p><p>Surveys must be carefully designed to minimize bias and ensure clarity. Sampling methods such as random, stratified, or cluster sampling are essential to achieve representativeness. Data collection tools include online surveys, paper forms, and telephone interviews. Quantitative data are typically analyzed using descriptive statistics (e.g., means, medians) to <a href=\"https:\/\/guillaume-guerard.com\/en\/cours-de-methodologie\/lire-et-resume-un-papier-scientifique\/\">to summarize<\/a> responses and inferential statistics (e.g., chi-square tests) to identify differences between subgroups.<\/p><p><strong>Structured interviews<\/strong> \u2013 Structured interviews involve a standardized set of <a href=\"https:\/\/guillaume-guerard.com\/en\/cours-de-methodologie\/definir-les-questions-scientifiques\/\">questions<\/a> asked consistently to all participants. They provide reliability and comparability in responses. For example, structured interviews can assess employees\u2019 perceptions of diversity policies in the workplace.<\/p><p><strong>Methodology:<\/strong><\/p><p>Researchers design a clear, fixed set of questions aligned with the study objectives. Interviews are conducted in person, by telephone, or by videoconference. Responses are recorded and analyzed using quantitative methods (e.g., frequency counting) or qualitative methods (e.g., thematic coding). The standardized approach reduces interviewer bias and improves data reliability.<\/p><p><strong>Secondary data analysis<\/strong> \u2013 Cross-sectional research often uses secondary data from sources such as national surveys, government databases, or organizational records to study trends or behaviors. For example, analyzing census data can provide information on employment trends within specific age groups.<\/p><p><strong>Methodology:<\/strong><\/p><p>Researchers identify relevant datasets and assess their quality and relevance. Secondary data are analyzed using statistical software to extract meaningful patterns, ensuring that the <a href=\"https:\/\/guillaume-guerard.com\/en\/cours-de-methodologie\/parfaire-la-section-resultats\/\">results<\/a> match the study objectives. This approach reduces data collection costs and allows for the analysis of large-scale populations.<\/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-8004c39 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8004c39\" 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-4c1df5c\" data-id=\"4c1df5c\" 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-3c7ed09 elementor-widget elementor-widget-heading\" data-id=\"3c7ed09\" 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-3b8d406 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3b8d406\" 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-4fa1328\" data-id=\"4fa1328\" 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-9609549 elementor-widget elementor-widget-text-editor\" data-id=\"9609549\" 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>Ensure representativeness\u00a0<\/strong>:<br \/>Use appropriate sampling techniques, such as stratified or cluster sampling, to ensure that results accurately reflect the target population.<\/p><p><strong>Designing clear questions<\/strong> :<br \/>Develop unambiguous and neutrally worded questions for surveys and interviews to minimize respondent confusion or bias.<\/p><p><strong>Pilot test<\/strong> :<br \/>Test surveys, interview guides, and secondary data extraction processes with a small sample to identify and resolve potential issues.<\/p><p><strong>Combine methods<\/strong> :<br \/>Integrate surveys, structured interviews, and secondary data analysis to triangulate findings and improve data validity.<\/p><p><strong>Using statistical tools<\/strong> :<br \/>Apply statistical techniques such as regression analysis, cross-tabulation or factor analysis to extract meaningful information and relationships.<\/p><p><strong>Standardized procedures<\/strong> :<br \/>Maintain consistency in the administration of surveys and interviews to minimize variation and ensure comparability across respondents.<\/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-9343a35 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9343a35\" 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-cd13b20\" data-id=\"cd13b20\" 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-b902e75 elementor-widget elementor-widget-heading\" data-id=\"b902e75\" 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-0b900c8 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0b900c8\" 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-9df304c\" data-id=\"9df304c\" 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-45b4847 elementor-widget elementor-widget-text-editor\" data-id=\"45b4847\" 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>Biased sampling<\/strong>\u00a0:<br \/>Avoid relying on convenience sampling or other non-representative methods. For example, surveying only urban residents for a national study on dietary habits introduces bias.<\/p><p><strong>Ambiguous or leading questions<\/strong> :<br \/>Poorly worded questions, such as \u201cDo you agree that this product is excellent?\u201d can confuse or influence respondents.<\/p><p><strong>Confounding variables<\/strong> :<br \/>Ignoring external factors that might influence the observed relationships can lead to erroneous conclusions.<\/p><p><strong>Overgeneralization<\/strong> :<br \/>Cross-sectional studies provide a snapshot and cannot establish causality or predict future changes. Conclusions must remain within the framework of the data.<\/p><p><strong>Ethical oversights<\/strong> :<br \/>Failure to obtain informed consent or protect the anonymity of respondents undermines the credibility and ethical integrity of the research.<\/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-6661a97 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6661a97\" 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-d564125\" data-id=\"d564125\" 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-122a724 elementor-widget elementor-widget-heading\" data-id=\"122a724\" 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-6533402 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6533402\" 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-5c8470b\" data-id=\"5c8470b\" 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-8075a88 elementor-widget elementor-widget-text-editor\" data-id=\"8075a88\" 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>Cross-sectional research is an effective and efficient method for studying populations at a specific point in time. Through surveys, structured interviews, and secondary data analysis, it provides valuable information about trends, behaviors, and characteristics. Following best practices, such as ensuring representativeness, designing clear questions, and avoiding bias, enhances the reliability and validity of the results. Although cross-sectional studies are limited in their ability to infer causality or capture longitudinal trends, they provide a solid foundation for understanding \u201cwhat\u2019s out there\u201d in a population and can guide future research and decision-making.<\/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: cross-sectional research Cross-sectional research focuses on the analysis of data from a population\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-2009","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/guillaume-guerard.com\/en\/wp-json\/wp\/v2\/pages\/2009","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=2009"}],"version-history":[{"count":7,"href":"https:\/\/guillaume-guerard.com\/en\/wp-json\/wp\/v2\/pages\/2009\/revisions"}],"predecessor-version":[{"id":2020,"href":"https:\/\/guillaume-guerard.com\/en\/wp-json\/wp\/v2\/pages\/2009\/revisions\/2020"}],"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=2009"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}