{"id":2880,"date":"2020-09-27T10:00:45","date_gmt":"2020-09-27T10:00:45","guid":{"rendered":"https:\/\/www.leulit.com\/?page_id=2880"},"modified":"2020-09-27T10:51:09","modified_gmt":"2020-09-27T10:51:09","slug":"statustest-2020-2","status":"publish","type":"page","link":"https:\/\/www.leulit.com\/en\/estatest-2020-2\/","title":{"rendered":"EstaTest \u2013 2020"},"content":{"rendered":"
\n\n\n\n
\n

Author: Gaspar Berbel  \"\"<\/em><\/a>
PhD from the UAB 
Trainer and researcher
<\/em>(ORCID ID: 0000-0002-9042-2922)
<\/em><\/p>\n<\/td>\n

\n
\n
Reference book:
\u201cPaola learns statistics. From a personal learning environment\u201d<\/div>\n
(3rd ed.)Gaspar Berbel (2020).<\/span><\/div>\n<\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n\n\n

ESTATest shows which statistical test to perform for each combination of two variables.<\/span><\/p>\n\n\n\n

ESTATest is an intuitive and easy-to-use mobile application. Intended for any student, teacher, researcher or data analyst who needs to relate variables (perform hypothesis contrast tests, bivariate relationship tests). The <\/span>app<\/span><\/i> guides you in the process of decision, realization and interpretation, in a very simple and intuitive way.<\/span><\/p>\n\n\n\n

The application is available for Android and iOS devices.<\/p>\n\n\n\n

iOS<\/strong><\/td>Android<\/strong><\/td><\/tr>
\"\"<\/a><\/td>\"\"<\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

First it will ask you to mark the variables that you intend to relate to each other, their typology (categorical with two categories or more, or numerical or metric \u2013 quantitative), once the combination has been entered, the <\/span>app <\/span><\/i>will ask you some filter-type questions to determine the conditions of application, depending on the type of test, in relation to the supposed following of the normal law by the distributions or metric variables in play, or about the number of cases expected in a relationship procedure between categorical \u2013Chi square. In some case, the <\/span>app <\/span><\/i>will ask you about the type of design of the variables to continue determining, with precision and accuracy, the type of test appropriate to carry out the requested relationship. Once all the filters have been applied \u2013 which the user can go through by default, marking the most common or expected situation, in case the user does not know the application assumptions \u2013 the <\/span>app <\/span><\/i>It will indicate the test or statistical procedure to apply to see the possible association (relationship) between the variables. The tests that will be proposed when the application conditions are met are the following: Chi square, t-test independent measures, t-test related measures, anova, correlation... In this case we are dealing with parametric tests - when the metric variable follows the normal law , or we assume so. In the event that this is not the case, when the metric variable in play does not follow the normal law - case of non-parametric tests - the <\/span>app <\/span><\/i>will propose the following tests: Mann Whitney U, Wilcoxon T, Kruskal Wallis test, Spearman correlation. <\/span><\/p>\n\n\n\n

The <\/span>app <\/span><\/i>Not only does it propose the test to be carried out, but it also allows you to watch a short video explaining how the statistical procedure is carried out and how it is interpreted, carried out with the IBM-SPSS statistical package. The videos last between one and two minutes.<\/span><\/p>\n\n\n\n

\"\"<\/figure><\/td>
\"\"<\/figure><\/td>
\"\"<\/figure><\/td>
\"\"<\/figure><\/td><\/tr><\/tbody><\/table><\/figure>","protected":false},"excerpt":{"rendered":"

Autor: Gaspar Berbel  Doctor por la UAB Formador e investigador (ORCID ID: 0000-0002-9042-2922) Libro de referencia:\u201cPaola aprende estad\u00edstica. Desde un entorno personal […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2880","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.leulit.com\/en\/wp-json\/wp\/v2\/pages\/2880","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.leulit.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.leulit.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.leulit.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.leulit.com\/en\/wp-json\/wp\/v2\/comments?post=2880"}],"version-history":[{"count":11,"href":"https:\/\/www.leulit.com\/en\/wp-json\/wp\/v2\/pages\/2880\/revisions"}],"predecessor-version":[{"id":2911,"href":"https:\/\/www.leulit.com\/en\/wp-json\/wp\/v2\/pages\/2880\/revisions\/2911"}],"wp:attachment":[{"href":"https:\/\/www.leulit.com\/en\/wp-json\/wp\/v2\/media?parent=2880"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}