This course brings your knowledge and skills in qualitative data analysis to the next level by introducing you to four qualitative methodologies widely used in the social sciences in NVivo. In turn, you will learn the sampling requirements, coding procedures, analytic strategies and best practices to report results of qualitative content analysis (Schreier, 2012), thematic analysis (Boyatzis, 1998), cross-case analysis (Miles & Huberman, 1994) and Grounded theory (Strauss & Corbin, 1998) in NVivo. The last day of the course brings all the knowledge through method integration, where we consider the strengths and limits of integrating different components of these four methodologies in one study.<\/p>\n
This course is the second part of a two-course sequence. To successfully attend the course, you must possess a solid foundation in qualitative analysis and be an advanced NVivo user – meaning that you can teach a crash NVivo course to colleagues. You should be able to create codes and relationships, work with cases and attributes, create sets, queries, generate maps and set-up framework matrices independently. Having experience in other qualitative software does not qualify you for the course. If you don’t possess the above, consider enrolling in Introduction to Qualitative Data Analysis<\/a>.<\/p>\n Part 1 and Part 2 of this course can\u00a0<\/strong>be taken independently of each other. ie. Part 1\u00a0can be taken without\u00a0taking Part 2, and Part 2\u00a0can be taken without taking Part 1.<\/p>\n <\/p>\n This one-week, 17.5-hour course runs Monday-Friday, 29 June – 3 July, 2026. The course is scheduled for 2:00 pm – 5:30 pm.<\/p>\n <\/p>\n Faculty of Arts and Social Science<\/strong><\/p>\n <\/p>\n Marie-H\u00e9l\u00e8ne Par\u00e9<\/a>, The Qualitative Analyst<\/a><\/p>\n <\/p>\n This course provides you with advanced understanding and applied skills in qualitative content analysis (Schreier, 2012), thematic analysis (Boyatzis, 1998), cross-case analysis (Miles and Huberman, 1994) and grounded theory (Strauss and Corbin, 1998) using NVivo. The course fills a critical gap in scholarly literature and graduate training by providing step-by-step guidance on choosing to sample and code data, conduct analysis and present findings of four qualitative methodologies widely used in the social sciences in NVivo. Days 1 to 4 are dedicated to the four methodologies, during which you will learn each method’s history, epistemological foundations and singularities. Moving on to NVivo, we will explore each method’s sampling requirements, implement their coding procedures and analytic strategies, and consider the best practices to report their unique results. On Day 5, you will learn to integrate different components of these four methodologies in one study, illustrating the promises and potential pitfalls of method integration.<\/p>\n The course ends with a workshop where you will critically review the criteria published in the literature to assess the quality of qualitative analysis. You will put forward recommendations for reporting this qualitative research phase in theses or articles.<\/p>\n The course blends lectures, group work and hands-on exercises in NVivo software, which allows participants to put theory into practice. Note, however, that this is a method course in qualitative analysis and not an NVivo software course, as only some of the advanced features of NVivo will be taught. If you wish to acquire comprehensive knowledge and skills of NVivo, consider enrolling in an NVivo course<\/a>.<\/p>\n <\/p>\n We strongly encourage participants to combine this course with the introductory Introduction to Qualitative Data Analysis<\/a>. The course presumes a solid conceptual and practical grounding in qualitative research, and participants should have experience with the NVivo<\/a> software.<\/p>\n <\/p>\n Participants are expected to have access to an internet-connected computer. You must run NVivo 15 (or NVivo R1 (13) or NVivo 14) to attend the course, but not earlier versions (NVivo 10 or 12) since these have different interfaces and menus. If your institution does not provide you with an NVivo license, you must download the NVivo 14-day free trial\u00a0here<\/a>. The trial is fully operational but can’t be reinstalled on the same computer once expired.<\/p>\n Please ensure that NVivo works well on your laptop, and consult the QSR International website for\u00a0self-help resources<\/a>\u00a0or to submit a\u00a0support request<\/a>\u00a0if you experience installation problems.<\/p>\n <\/p>\n Barbour, Rosaline S. 2014. Quality of Data Analysis<\/em>. In: Flick, Uwe, ed. Sage Handbook of Qualitative Data Analysis<\/a>. Thousand Oaks, CA: Sage Publications.<\/p>\n Boyatzis, Richard E. 1998. Transforming Qualitative Information. Thematic Analysis and Code Development<\/em><\/a>. Thousand Oaks, CA: Sage Publications.<\/p>\n Burns, Nancy. 1989. Standards for Qualitative Research<\/a><\/em>. Nursing Science Quarterly 2: 44-52.<\/p>\n Miles, Matthew B., and A. Michael Huberman. 1994. Qualitative Data Analysis. An Expanded Sourcebook<\/a>. 2nd<\/sup> edition. Thousand Oaks, CA: Sage Publications.<\/p>\n Schreier, Margrit. 2012. Qualitative Content Analysis in Practice<\/em><\/a>. Thousand Oaks, CA: Sage Publications.<\/p>\n Strauss, Anselm L., and Juliet Corbin. 1998. Basics of Qualitative Research. Techniques and Procedures for Developing Grounded Theory<\/a><\/em>. 2nd<\/sup> edition. Thousand Oaks, CA: Sage Publications.<\/p>\n <\/p>\n Bernard, H. Russell., Amber Y. Wutrich, and Gery W. Ryan. 2017. Analyzing Qualitative Data. Systemic Approaches<\/a><\/em>. 2nd<\/sup> edition. Thousand Oaks, CA: Sage Publications.<\/p>\n Gibson, William J., and Andrew Brown. 2009. Working with Qualitative Data<\/em><\/a>. Thousand Oaks, CA: Sage Publications.<\/p>\n Grbich, Carol. 2013. Qualitative Data Analysis. An Introduction<\/a><\/em>. 2nd<\/sup> edition. Thousand Oaks, CA: Sage Publications.<\/p>\n\t\t\t\t\n\t\t\t\t Advanced Qualitative Data Analysis Prof. Par\u00e9 is an excellent, experienced, and knowledgable instructor. I will urge my colleagues to also attend her course in the future. – participant from Singapore This course brings your knowledge and skills in qualitative data analysis to the next level by introducing you to four qualitative methodologies widely used in […]<\/p>\n","protected":false},"author":137,"featured_media":0,"parent":134,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"full-width-container","site-content-style":"unboxed","site-sidebar-style":"unboxed","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-680","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/fass.nus.edu.sg\/methods-school\/wp-json\/wp\/v2\/pages\/680","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fass.nus.edu.sg\/methods-school\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/fass.nus.edu.sg\/methods-school\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/fass.nus.edu.sg\/methods-school\/wp-json\/wp\/v2\/users\/137"}],"replies":[{"embeddable":true,"href":"https:\/\/fass.nus.edu.sg\/methods-school\/wp-json\/wp\/v2\/comments?post=680"}],"version-history":[{"count":20,"href":"https:\/\/fass.nus.edu.sg\/methods-school\/wp-json\/wp\/v2\/pages\/680\/revisions"}],"predecessor-version":[{"id":3432,"href":"https:\/\/fass.nus.edu.sg\/methods-school\/wp-json\/wp\/v2\/pages\/680\/revisions\/3432"}],"up":[{"embeddable":true,"href":"https:\/\/fass.nus.edu.sg\/methods-school\/wp-json\/wp\/v2\/pages\/134"}],"wp:attachment":[{"href":"https:\/\/fass.nus.edu.sg\/methods-school\/wp-json\/wp\/v2\/media?parent=680"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Dates (On-site Class)\u00a0<\/h2>\n
Classroom Location<\/h1>\n
Instructor<\/h2>\n
Detailed Description<\/h2>\n
Prerequisites<\/h2>\n
Requirements<\/h2>\n
Core Readings<\/h2>\n
Suggested Readings<\/h2>\n
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