{"id":55187,"date":"2026-04-03T11:50:06","date_gmt":"2026-04-03T11:50:06","guid":{"rendered":"https:\/\/certifeka-edu.com\/programs\/research-for-strategic-development-module-2\/lessons\/lesson-1-here-are-the-steps-to-calculate-the-sample-size-3-2\/"},"modified":"2026-04-03T11:50:06","modified_gmt":"2026-04-03T11:50:06","slug":"lesson-1-here-are-the-steps-to-calculate-the-sample-size-3-2","status":"publish","type":"lesson","link":"https:\/\/certifeka-edu.com\/ar\/programs\/research-for-managers-module-ucam-university\/lessons\/lesson-1-here-are-the-steps-to-calculate-the-sample-size-3-2\/","title":{"rendered":"Lesson 1: Here are the steps to calculate the sample size"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" width=\"96\" height=\"114\" src=\"https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/04\/logos-png-01-296x57-1.png\" alt=\"\" srcset=\"https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/04\/logos-png-01-296x57-1.png 96w, https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/04\/logos-png-01-296x57-1-10x12.png 10w, https:\/\/certifeka-edu.com\/wp-content\/uploads\/2025\/04\/logos-png-01-296x57-1-42x50.png 42w\" sizes=\"auto, (max-width: 96px) 100vw, 96px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/p>\n<h2>Lesson 1: Sample Size<\/h2>\n<h3>Here are the steps to calculate the sample size:<\/h3>\n<details id=\"e-n-accordion-item-5080\" open>\n<summary data-accordion-index=\"1\" tabindex=\"0\" aria-expanded=\"true\" aria-controls=\"e-n-accordion-item-5080\" >\n\t\t\t\t\t 1. Determine the desired level<br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t\t\t\t<\/summary>\n<h5>Determine the desired level of confidence and margin of error for the study. For example, if you want to estimate a population proportion with a 95% confidence interval and a margin of error of 5%, you would use Z=1.96 and E=0.05.<\/h5>\n<\/details>\n<details id=\"e-n-accordion-item-5081\" >\n<summary data-accordion-index=\"2\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-5081\" >\n\t\t\t\t\t  2. Estimate the expected proportion<br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t\t\t\t<\/summary>\n<h5>2. Estimate the expected proportion or prevalence of the outcome in the population based on prior research or expert opinion. For example, if you expect the prevalence of a certain disease to be 10%, you would use p=0.1 and q=0.9.<\/h5>\n<\/details>\n<details id=\"e-n-accordion-item-5082\" >\n<summary data-accordion-index=\"3\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-5082\" >\n\t\t\t\t\t 3.Calculate the sample size<br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t\t\t\t<\/summary>\n<h5>Calculate the sample size using the formula above. For example, if you plug in the values from steps 1 and 2, you would get:<\/h5>\n<h5>n = (1.96^2 0.1 0.9) \/ 0.05^2 = 384.16<\/h5>\n<h5>Round up the result to the nearest whole number, giving you a required sample size of 385.<\/h5>\n<\/details>\n<details id=\"e-n-accordion-item-5083\" >\n<summary data-accordion-index=\"4\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-5083\" >\n\t\t\t\t\t 4. Consider any practical or ethical constraints<br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t\t\t\t<\/summary>\n<h5>4. Consider any practical or ethical constraints that may affect the feasibility of obtaining the required sample size. For example, if the population of interest is small, you may not be able to obtain a sample of 385 individuals.<\/h5>\n<\/details>\n<details id=\"e-n-accordion-item-5084\" >\n<summary data-accordion-index=\"5\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-5084\" >\n\t\t\t\t\t  5. Conduct sensitivity analysis<br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t<svg aria-hidden=\"true\" viewbox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><br \/>\n\t\t\t\t\t\t<\/summary>\n<h5>5. Conduct sensitivity analysis to explore how different assumptions about the population parameters or study design would affect the sample size calculation.<\/h5>\n<\/details>\n<h5>Determine the desired level of confidence and margin of error for the study. For example, if you want to estimate a population proportion with a 95% confidence interval and a margin of error of 5%, you would use Z=1.96 and E=0.05.<\/h5>\n<h5>2. Estimate the expected proportion or prevalence of the outcome in the population based on prior research or expert opinion. For example, if you expect the prevalence of a certain disease to be 10%, you would use p=0.1 and q=0.9.<\/h5>\n<h5>Calculate the sample size using the formula above. For example, if you plug in the values from steps 1 and 2, you would get:<\/h5>\n<h5>n = (1.96^2 0.1 0.9) \/ 0.05^2 = 384.16<\/h5>\n<h5>Round up the result to the nearest whole number, giving you a required sample size of 385.<\/h5>\n<h5>4. Consider any practical or ethical constraints that may affect the feasibility of obtaining the required sample size. For example, if the population of interest is small, you may not be able to obtain a sample of 385 individuals.<\/h5>\n<h5>5. Conduct sensitivity analysis to explore how different assumptions about the population parameters or study design would affect the sample size calculation.<\/h5>\n<h5>It is important to note that sample size calculations may vary depending on the specific research question and study design. Therefore, it is recommended to consult with a statistician or use statistical software to ensure accurate and appropriate sample size calculation for your specific research question.<\/h5>","protected":false},"comment_status":"open","ping_status":"closed","template":"","class_list":["post-55187","lesson","type-lesson","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Lesson 1: Here are the steps to calculate the sample size - Certifeka-edu<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/certifeka-edu.com\/ar\/programs\/research-for-managers-module-ucam-university\/lessons\/lesson-1-here-are-the-steps-to-calculate-the-sample-size-3-2\/\" \/>\n<meta property=\"og:locale\" content=\"ar_AR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lesson 1: Here are the steps to calculate the sample size - Certifeka-edu\" \/>\n<meta property=\"og:description\" content=\"Lesson 1: Sample Size Here are the steps to calculate the sample size: 1. 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