{"id":1586,"date":"2024-09-20T14:10:43","date_gmt":"2024-09-20T13:10:43","guid":{"rendered":"https:\/\/uefap.org\/blog\/?p=1586"},"modified":"2025-04-05T16:07:54","modified_gmt":"2025-04-05T15:07:54","slug":"dedoose","status":"publish","type":"post","link":"https:\/\/uefap.org\/blog\/dedoose\/","title":{"rendered":"Dedoose"},"content":{"rendered":"

I discovered Dedoose<\/em> recently when one of the MA students I was supervising used it.<\/p>\n

Dedoose<\/a><\/em> is a cross-platform cloud-based application from UCLA\u00a0 for analysing qualitative, quantitative and mixed methods research data that includes text, photos, audio, videos, spreadsheet data and more.<\/p>\n

Overall, Dedoose<\/em> is user-friendly. It offers a user-friendly interface, which includes a clear overview of your recent activities on the front page. It also includes a detailed user guide<\/a> on their website and a demo project – a mixed methods study of literacy development – which will help you to explore Dedoose<\/em> and see what it can do.<\/p>\n

One advantage of Dedoose<\/em> is the ease with which it allows data to be imported and the wide range of formats the software supports. For that reason, it is easy to import large amounts of text, numbers and pictures.<\/p>\n

It is often the case that with qualitative data, when coding large amounts of text, it can be difficult to keep track of the codes assigned to different parts of the text. Dedoose<\/em> allows the researcher to create a description of each code they have created, which makes the codes easy to track. It is also easy to clearly organise codes into parent, child and grandchild codes, according to their importance. They can then be moved up or down as many times as necessary. Dedoose<\/em> also offers the option to delete a code if it is not found to be useful.<\/p>\n

However, as with all qualitative data analysis, coding individual sections of text takes time and requires a large amount of work. Dedoose<\/em> does, though, help to ease the pressure on the coding with, for example, the quick code widget.<\/p>\n

Dedoose<\/em> can also work to a limited extent with quantitative data. It is quite easy to import spreadsheet data from a survey, for example. Dedoose<\/em> can understand numerical data, multiple choice data, Likert scale data etc and the data can easily be edited when it has been imported. Once the data has been imported, you can now analyse the quantitative data. You can can draw graphs and tables – which can be\u00a0 exported – and you can also carry out simple statistical tests such as\u00a0 t-tests, ANOVA and correlations.<\/p>\n

It is also quite easy to combine these in a mixed-methods study.<\/p>\n

One important feature of\u00a0 Dedoose<\/em> is that, as the application is cloud based, it enables users to work on a project collaboratively.<\/p>\n

Dedoose<\/em> works with a subscription model. It can be quite expensive in the long run, but it does allow a free trial period of one month and it provides the ability to subscribe for just one month (student price $12.95 per month) and could be useful for a small mixed-methods project such as an MA dissertation..<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

I discovered Dedoose recently when one of the MA students I was supervising used it. Dedoose is a cross-platform cloud-based application from UCLA\u00a0 for analysing qualitative, quantitative and mixed methods research data that includes text, photos, audio, videos, spreadsheet data … Continue reading →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3,10],"tags":[18,51],"class_list":["post-1586","post","type-post","status-publish","format-standard","hentry","category-eap-general","category-research","tag-eap","tag-research"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/uefap.org\/blog\/wp-json\/wp\/v2\/posts\/1586","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/uefap.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/uefap.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/uefap.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/uefap.org\/blog\/wp-json\/wp\/v2\/comments?post=1586"}],"version-history":[{"count":8,"href":"https:\/\/uefap.org\/blog\/wp-json\/wp\/v2\/posts\/1586\/revisions"}],"predecessor-version":[{"id":1606,"href":"https:\/\/uefap.org\/blog\/wp-json\/wp\/v2\/posts\/1586\/revisions\/1606"}],"wp:attachment":[{"href":"https:\/\/uefap.org\/blog\/wp-json\/wp\/v2\/media?parent=1586"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/uefap.org\/blog\/wp-json\/wp\/v2\/categories?post=1586"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/uefap.org\/blog\/wp-json\/wp\/v2\/tags?post=1586"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}