{"id":40656,"date":"2022-11-25T14:45:31","date_gmt":"2022-11-25T08:45:31","guid":{"rendered":"https:\/\/www.enago.com\/academy\/?p=40656"},"modified":"2023-07-21T13:28:48","modified_gmt":"2023-07-21T07:28:48","slug":"right-statistical-test","status":"publish","type":"post","link":"https:\/\/www.enago.com\/academy\/right-statistical-test\/","title":{"rendered":"7 Ways to Choose the Right Statistical Test for Your Research Study"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_74 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\">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:\/\/www.enago.com\/academy\/right-statistical-test\/#What_are_Statistical_Tests\" >What are Statistical Tests?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.enago.com\/academy\/right-statistical-test\/#Types_of_Statistical_Tests\" >Types of Statistical Tests<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.enago.com\/academy\/right-statistical-test\/#1_Parametric_Statistical_Tests\" >1. Parametric Statistical Tests<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.enago.com\/academy\/right-statistical-test\/#2_Non-parametric_Statistical_Tests\" >2. Non-parametric Statistical Tests<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.enago.com\/academy\/right-statistical-test\/#7_Essential_Ways_to_Choose_the_Right_Statistical_Test\" >7 Essential Ways to Choose the Right Statistical Test<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.enago.com\/academy\/right-statistical-test\/#1_Research_Question\" >1. Research Question<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.enago.com\/academy\/right-statistical-test\/#2_Formulation_of_Null_Hypothesis\" >2. Formulation of Null Hypothesis<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.enago.com\/academy\/right-statistical-test\/#3_Level_of_Significance_in_Study_Protocol\" >3. Level of Significance in Study Protocol<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.enago.com\/academy\/right-statistical-test\/#4_The_Decision_Between_One-tailed_and_Two-tailed\" >4. The Decision Between One-tailed and Two-tailed<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.enago.com\/academy\/right-statistical-test\/#5_The_Number_of_Variables_to_Be_Analyzed\" >5. The Number of Variables to Be Analyzed<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.enago.com\/academy\/right-statistical-test\/#6_Type_of_Data\" >6. Type of Data<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.enago.com\/academy\/right-statistical-test\/#7_Paired_and_Unpaired_Study_Designs\" >7. Paired and Unpaired Study Designs<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"What_are_Statistical_Tests\"><\/span>What are Statistical Tests?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Statistical tests are a way of mathematically determining whether two sets of data are significantly different from each other. To do this, statistical tests use several statistical measures, such as the mean, standard deviation, and coefficient of variation. Once the statistical measures are calculated, the statistical test will then compare them to a set of predetermined criteria. If the data meet the criteria, the statistical test will conclude that there is a significant difference between the two sets of data.<\/p>\n<p>There are various statistical tests that can be used, depending on the type of data being analyzed. However, some of the most common statistical tests are t-tests, chi-squared tests, and ANOVA tests.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Types_of_Statistical_Tests\"><\/span>Types of Statistical Tests<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>When working with statistical data, several tools can be used to analyze the information.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"1_Parametric_Statistical_Tests\"><\/span>1. Parametric Statistical Tests<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Parametric statistical tests have precise requirements compared with non-parametric tests. Also, they make a strong inference from the data. Furthermore, they can only be conducted with data that adhere to common assumptions of statistical tests. Some common types of parametric tests are regression tests, comparison tests, and correlation tests.<\/p>\n<h4>1.1. Regression Tests<\/h4>\n<p>Regression tests determine cause-and-effect relationships. They can be used to estimate the effect of one or more continuous variables on another variable.<\/p>\n<ul>\n<li><strong>Simple linear regression<\/strong>\u00a0is a type of test that describes the relationship between a dependent and an independent variable using a straight line. This test determines the relationship between two quantitative variables.<\/li>\n<li><strong>Multiple linear regression<\/strong>\u00a0measures the relationship between a quantitative dependent variable and two or more independent variables, again using a straight line.<\/li>\n<li><strong>Logistic regression<\/strong>\u00a0predicts and classifies the research problem. Logistic regression helps identify data anomalies, which could be predictive fraud.<\/li>\n<\/ul>\n<h4>1.2. Comparison Tests<\/h4>\n<p>Comparison tests determine the differences among the group means. They can be used to test the effect of a categorical variable on the mean value of other characteristics.<\/p>\n<ul>\n<li>\n<h4>T-test<\/h4>\n<\/li>\n<\/ul>\n<p>One of the most common statistical tests is the t-test, which is used to compare the means of two groups (e.g. the average heights of men and women). You can use the t-test when you are not aware of the population parameters (mean and standard deviation).<\/p>\n<ul>\n<li>\n<h4>Paired T-test<\/h4>\n<\/li>\n<\/ul>\n<p>It tests the difference between two variables from the same population (pre-and post-test scores). For example, measuring the performance score of the trainee before and after the completion of the training program.<\/p>\n<ul>\n<li>\n<h4>Independent T-test<\/h4>\n<\/li>\n<\/ul>\n<p>The independent t-test is also called the two-sample t-test. It is a statistical test that determines whether there is a statistically significant difference between the means in two unrelated groups. For example, comparing cancer patients and pregnant women in a population.<\/p>\n<ul>\n<li>\n<h4>One Sample T-test<\/h4>\n<\/li>\n<\/ul>\n<p>In this test, the mean of a single group is compared with the given mean. For example, determining the increase and decrease in sales in the given average sales.<\/p>\n<ul>\n<li>\n<h4>ANOVA<\/h4>\n<\/li>\n<\/ul>\n<p>ANOVA (Analysis of Variance) analyzes the difference between the means of more than two groups. One-way ANOVAs determine how one factor impacts another, whereas two-way analyses compare samples with\u00a0<a href=\"https:\/\/www.enago.com\/academy\/explanatory-response-variable-statistics\/\" target=\"_blank\" rel=\"noopener\">different variables<\/a>. It determines the impact of one or more factors by comparing the means of different samples.<\/p>\n<ul>\n<li>\n<h4>MANOVA<\/h4>\n<\/li>\n<\/ul>\n<p>MANOVA, which stands for Multivariate Analysis of Variance, provides regression analysis and analysis of variance for multiple dependent variables by one or more factor variables or covariates. Also, it examines the statistical difference between one continuous dependent variable and an independent grouping variable.<\/p>\n<ul>\n<li>\n<h4>Z-test<\/h4>\n<\/li>\n<\/ul>\n<p>It is a statistical test that determines whether two population means are different, provided the variances are known and the sample size is large.<strong>\u00a0<\/strong><\/p>\n<h4>1.3. Correlation Tests<\/h4>\n<p>Correlation tests check if the variables are related without hypothesizing a cause-and-effect relationship. These tests can be used to check if the two variables you want to use in a multiple regression test are correlated.<\/p>\n<ul>\n<li>\n<h4>Pearson Correlation Coefficient<\/h4>\n<\/li>\n<\/ul>\n<p>It is a common way of measuring the linear correlation. The coefficient is a number between -1 and 1 and determines the strength and direction of the relationship between two variables. The change in one variable changes the course of \u00a0another variable change in the same direction.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"2_Non-parametric_Statistical_Tests\"><\/span>2. Non-parametric Statistical Tests<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Non-parametric tests do not make as many assumptions about the data \u00a0compared to parametric tests. They are useful when one or more of the common statistical assumptions are violated. However, these inferences are not as accurate as with parametric tests.<\/p>\n<ul>\n<li>\n<h4>Chi-square test<\/h4>\n<\/li>\n<\/ul>\n<p>The chi-square test compares two categorical variables. Furthermore, calculating the chi-square statistic value and comparing it with a critical value from the chi-square distribution allows you to assess whether the observed frequency is significantly different from the expected frequency.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"7_Essential_Ways_to_Choose_the_Right_Statistical_Test\"><\/span>7 Essential Ways to Choose the Right Statistical Test<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"1_Research_Question\"><\/span>1. Research Question<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>The decision for a statistical test depends on the\u00a0<a href=\"https:\/\/www.enago.com\/academy\/how-to-develop-good-research-question-types-examples\/\" target=\"_blank\" rel=\"noopener\">research question<\/a> that needs to be answered. Additionally, the research questions will help you formulate the data structure and <a href=\"https:\/\/www.enago.com\/academy\/experimental-research-design\/\" target=\"_blank\" rel=\"noopener\">research design<\/a>.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"2_Formulation_of_Null_Hypothesis\"><\/span>2. Formulation of Null Hypothesis<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>After defining the research question, you could develop a null hypothesis. A\u00a0<a href=\"https:\/\/www.enago.com\/academy\/what-is-null-hypothesis-what-is-its-importance-in-research\/\" target=\"_blank\" rel=\"noopener\">null hypothesis<\/a>\u00a0suggests that no statistical significance exists in the expected observations.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"3_Level_of_Significance_in_Study_Protocol\"><\/span>3. Level of Significance in Study Protocol<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Before performing the study protocol, a level of significance is specified. The level of significance determines the statistical importance, which defines the acceptance or rejection of the null hypothesis.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"4_The_Decision_Between_One-tailed_and_Two-tailed\"><\/span>4. The Decision Between One-tailed and Two-tailed<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>You must decide if your study should be a one-tailed or two-tailed test. If you have clear evidence where the statistics are leading in one direction, \u00a0you must perform one-tailed tests. However, if there is no particular direction of the expected difference, you must perform a two-tailed test.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"5_The_Number_of_Variables_to_Be_Analyzed\"><\/span>5. The Number of Variables to Be Analyzed<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Statistical tests and procedures are divided according to the number of variables that are designed to analyze. Therefore, while choosing the test , you must consider how many variables you want to analyze.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"6_Type_of_Data\"><\/span>6. Type of Data<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>It is important to define whether your data is continuous, categorical, or binary. In the case of continuous data, you must also check if the data are normally distributed or skewed, to further define which statistical test to consider.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"7_Paired_and_Unpaired_Study_Designs\"><\/span>7. Paired and Unpaired Study Designs<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>A paired design includes comparison studies where the two population means are compared when the two samples depend on each other. In an unpaired\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC2996580\/#:~:text=A%20statistical%20test%20is%20used,design%20is%20paired%20(dependent)\" target=\"_blank\" rel=\"nofollow noopener\" class=\"broken_link\">or independent study design<\/a>, the results of the two samples are grouped and then compared.<\/p>\n<p>Now that you know the seven steps for choosing a statistical test, you are on your way to finding the right test for your research question. Each situation is unique; it is important to understand all of your options and make an informed decision.<\/p>\n<p>Remember to always consult with your principal investigator or statistician, or software, if you are unsure which test to choose.<\/p>\n<p>We would love to hear from you on how you choose a statistical test for your research. Write to us or leave a comment below.<\/p>\n<div style=\"display:flex; gap:10px;justify-content:\" class=\"wps-pgfw-pdf-generate-icon__wrapper-frontend\">\n\t\t<a  href=\"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/posts\/40656?action=genpdf&amp;id=40656\" class=\"pgfw-single-pdf-download-button\" ><img data-src=\"https:\/\/www.enago.com\/academy\/wp-content\/plugins\/pdf-generator-for-wp\/admin\/src\/images\/PDF_Tray.svg\" title=\"Generate PDF\" style=\"width:auto; height:45px;\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\"><\/a>\n\t\t<\/div><script type=\"application\/ld+json\">\n\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\"@context\": \"http:\/\/schema.org\",\n\t\t\t\t\t\t\t\t\"@type\": \"CreativeWorkSeries\",\n\t\t\t\t\t\t\t\t\"aggregateRating\": {\n\t\t\t\t\t\t\t\t\"@type\": \"AggregateRating\",\n\t\t\t\t\t\t\t\t\"bestRating\": \"5\",\n\t\t\t\t\t\t\t\t\"ratingCount\": \"6\",\n\t\t\t\t\t\t\t\t\"ratingValue\": \"5\"\n\t\t\t\t\t\t\t\t},\n\t\t\t\t\t\t\t\t\"image\": \"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2022\/11\/Statistical_test_Global.jpg\",\n\t\t\t\t\t\t\t\t\"name\": \"7 Ways to Choose the Right Statistical Test for Your Research Study\",\n\t\t\t\t\t\t\t\t\"description\": \"7 Ways to Choose the Right Statistical Test for Your Research Study\"\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t<\/script>","protected":false},"excerpt":{"rendered":"<p>What are Statistical Tests? Statistical tests are a way of mathematically determining whether two sets&hellip;<\/p>\n","protected":false},"author":8255,"featured_media":40658,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"footnotes":""},"categories":[749,2,1537],"tags":[1871,1873],"ppma_author":[1909],"class_list":["post-40656","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artwork-figures-tables","category-academic-writing","category-trending-now","tag-research","tag-research-statistics"],"better_featured_image":{"id":40658,"alt_text":"statistical test","caption":"","description":"Statistical tests use several statistical measures, such as the mean, standard deviation, and coefficient of variation to provide 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Review":{"file":"Statistical_test_Global-320x340.jpg","width":320,"height":340,"mime-type":"image\/jpeg","filesize":24833,"source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2022\/11\/Statistical_test_Global-320x340.jpg"},"rpwe-thumbnail":{"file":"Statistical_test_Global-45x45.jpg","width":45,"height":45,"mime-type":"image\/jpeg","filesize":1629,"source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2022\/11\/Statistical_test_Global-45x45.jpg"},"web-stories-poster-portrait":{"file":"Statistical_test_Global-640x340.jpg","width":640,"height":340,"mime-type":"image\/jpeg","filesize":46702,"source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2022\/11\/Statistical_test_Global-640x340.jpg"},"web-stories-publisher-logo":{"file":"Statistical_test_Global-96x96.jpg","width":96,"height":96,"mime-type":"image\/jpeg","filesize":3889,"source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2022\/11\/Statistical_test_Global-96x96.jpg"},"web-stories-thumbnail":{"file":"Statistical_test_Global-150x56.jpg","width":150,"height":56,"mime-type":"image\/jpeg","filesize":3946,"source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2022\/11\/Statistical_test_Global-150x56.jpg"}},"image_meta":{"aperture":"0","credit":"","camera":"","caption":"","created_timestamp":"0","copyright":"","focal_length":"0","iso":"0","shutter_speed":"0","title":"","orientation":"0","keywords":[]}},"post":40656,"source_url":"https:\/\/www.enago.com\/academy\/wp-content\/uploads\/2022\/11\/Statistical_test_Global.jpg"},"acf":{"faq_main_heading":"Frequently Asked Questions","faq_heading_one":"What is a statistical test?","faq_heading_two":"What is a test statistic?","faq_heading_three":"What is statistical significance?","faq_heading_four":"How to choose statistical test?","faq_heading_five":"How to tell if something is statistically significant?","faq_heading_six":"","faq_description_one":"A statistical test is a tool or procedure used in data analysis to determine the likelihood of observing certain patterns, relationships, or differences in a dataset by chance alone. It helps researchers draw conclusions about the population based on sample data. Statistical tests involve mathematical calculations and hypothesis testing to assess the significance of results and make inferences about the underlying population. ","faq_description_two":"A test statistic is a numerical value calculated from sample data in a statistical hypothesis test. It is used to assess the evidence against a null hypothesis and make inferences about the population.","faq_description_three":"Statistical significance refers to the probability that an observed difference or relationship in data is not due to random chance alone. It is a measure of the confidence we can place in the results of a statistical analysis.","faq_description_four":"The selection of a statistical test depends on the specific details of your research question and data. It is important to choose a test that aligns with the nature of your data, the type of comparison you want to make, and any specific assumptions or conditions that need to be met. Here are some essential things to consider while choosing the right statistical test: <br>1. Research question <\/br>2. Formulation of null hypothesis <br>3. Level of significance in study protocol <\/br>4. The decision between one-tailed and two-tailed <br>5. The number of variables to be analyzed <\/br>6. Type of data <br>7. Paired and unpaired study designs<\/br>","faq_description_five":"When conducting a statistical test, the goal is often to determine whether the observed data provides strong evidence to support or reject a specific hypothesis. Statistical significance helps assess the strength of that evidence. If the p-value associated with a statistical test is below a predetermined significance level (commonly denoted as \u03b1, often set at 0.05), we consider the result to be statistically significant. It implies that there is evidence supporting an alternative hypothesis or a meaningful relationship in the data. On the other hand, if the p-value exceeds the significance level, we fail to reject the null hypothesis due to insufficient evidence.","faq_description_six":""},"views":181542,"single_webinar_page_date":null,"single_webinar_page_time":null,"session_agenda":null,"who_should_attend_this_session":null,"about_the_speaker_field":null,"co-webinar-sec":null,"co_webinar_sec_one":null,"speaker-name":null,"webinar-date":null,"webinar-time":null,"webinar-s-image":null,"custum_webinar_category":null,"authors":[{"term_id":1909,"user_id":8255,"is_guest":0,"slug":"shrutika","display_name":"Shrutika Sirisilla","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/472bc3237f94a0a0077cc6a3b56e335153828d3235c3be8b91063a60a301bd7f?s=96&d=identicon&r=g","author_category":"","user_url":"","last_name":"Sirisilla","first_name":"Shrutika","job_title":"","description":"Shrutika Sirisilla is a content expert with 2 years of experience in academic research. Previously, she has worked as a content writer and created reader friendly scientific content for a reputed diagnostic company and contributed in the publishing process of its healthcare magazines. She has also worked as a linguistic specialist and is certified with C1 Advanced English Language. As an academic, she pursued research in the field of stem cell. Her research expertise also includes developmental biology, molecular biology, cellular biology, and genetics. Currently, she is dedicated toward creating scientific content for early career professionals in the STEM industry."}],"_links":{"self":[{"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/posts\/40656","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/users\/8255"}],"replies":[{"embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/comments?post=40656"}],"version-history":[{"count":2,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/posts\/40656\/revisions"}],"predecessor-version":[{"id":43206,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/posts\/40656\/revisions\/43206"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/media\/40658"}],"wp:attachment":[{"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/media?parent=40656"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/categories?post=40656"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/tags?post=40656"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.enago.com\/academy\/wp-json\/wp\/v2\/ppma_author?post=40656"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}