Application of MAXQDA in Qualitative Research Data Analysis
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Audiovisual Media Annotation Using Qualitative Data Analysis Software: a Comparative Analysis
The Qualitative Report Volume 23 Number 13 Article 4 3-6-2018 Audiovisual Media Annotation Using Qualitative Data Analysis Software: A Comparative Analysis Liliana Melgar Estrada University of Amsterdam, [email protected] Marijn Koolen Huygens ING, [email protected] Follow this and additional works at: https://nsuworks.nova.edu/tqr Part of the Library and Information Science Commons, and the Quantitative, Qualitative, Comparative, and Historical Methodologies Commons Recommended APA Citation Melgar Estrada, L., & Koolen, M. (2018). Audiovisual Media Annotation Using Qualitative Data Analysis Software: A Comparative Analysis. The Qualitative Report, 23(13), 40-60. https://doi.org/10.46743/ 2160-3715/2018.3035 This Article is brought to you for free and open access by the The Qualitative Report at NSUWorks. It has been accepted for inclusion in The Qualitative Report by an authorized administrator of NSUWorks. For more information, please contact [email protected]. Audiovisual Media Annotation Using Qualitative Data Analysis Software: A Comparative Analysis Abstract The variety of specialized tools designed to facilitate analysis of audio-visual (AV) media are useful not only to media scholars and oral historians but to other researchers as well. Both Qualitative Data Analysis Software (QDAS) packages and dedicated systems created for specific disciplines, such as linguistics, can be used for this purpose. Software proliferation challenges researchers to make informed choices about which package will be most useful for their project. This paper aims to present an information science perspective of the scholarly use of tools in qualitative research of audio-visual sources. It provides a baseline of affordances based on functionalities with the goal of making the types of research tasks that they support more explicit (e.g., transcribing, segmenting, coding, linking, and commenting on data). -
Engaging in Qualitative Research Methods: Opportunities for Prevention and Health Promotion
Engaging in Qualitative Research Methods: Opportunities for Prevention and Health Promotion LeConté J. Dill, DrPH, MPH Assistant Professor Department of Community Health Sciences SUNY Downstate School of Public Health Learning Objectives O Describe personal values, life experiences, and professional activities that inform one’s research standpoint O Describe the value of engaging in qualitative research methods O Describe ethical concerns in qualitative research O Discuss the data collection and analytical procedures inherent in each approach of qualitative inquiry Qualitative Research O Shaped by both the subjects’ and researcher’s O Personal experience O Age O Gender O Race/ethnicity O Social class O Sexuality O Biases Peshkin, 1988; Merriam, 2002; Charmaz, 2004 What is Qualitative Research? O Long tradition in: anthropology, sociology, and clinical psychology O Emerging in: public health, medicine, nursing, education, and management O Concentrates on words and observations to express reality O Describes people in natural situations and settings O Asks: O What? O Why? O How? Peshkin, 1988; Merriam, 2002; Charmaz, 2004 The Role of Theory & Qualitative Research O Theory as a starting point for scrutiny rather than for application O The best qualitative studies are theoretically informed O Generate new theoretical insights through qualitative methods Charmaz, 2004; Denzin & Lincoln,2011 “While quantitative research can tell us much about the incidence and outcomes of disease, it cannot answer how to get patients to use medication when -
Introduction for Conducting Social Science Research Michael C. Gizzi, Ph.D. Stage 1
Harnessing the power of MAXQDA for conducting social science research Michael C. Gizzi, Ph.D. Professor of Criminal Justice, Illinois State University Introduction Stage 3 & 4 – The Art of Data Analysis MAXQDA is a professional qualitative software designed for content analysis and mixed methods research. This poster provides an overview of MAXQDA describes itself with the tag line “The Art of Data Analysis.” These the “Four Stages of Research,” a conceptual model I’ve developed for words capture the heart of the Four Stages of Research. Stage 3 and 4 conducting a qualitative research project. This was designed as tool for involves reading, coding, writing memos (taking notes), looking for patterns effectively using MAXQDA to conduct qualitative legal research, but can be and themes, and then engaging in a thematic analysis of cases. applied to almost any social science qualitative project. MAXQDA has transformed how I conduct my research on the impact and implementation Once the initial content analysis completed, you can begin the creative and of judicial policies by lower courts. often emergent process of analysis: summarizing the data, looking for patterns, quantifying them, identifying core examples, and then further refining The Four Stages of Research provides a conceptual model for thinking the data and findings. MAXQDA also has a full set of statistical tools that you through a research project: can use for mixed methods analysis. As this process unfolds, you are ready to write your final product. • Identify the research questions and conceptual framework of the research design. • Collect the data and create a workspace and analytical process to evaluate it in MAXQDA. -
Public Perceptions of Nigeria Police Monetary Bribery in Awka, Nigeria
Walden University ScholarWorks Walden Dissertations and Doctoral Studies Walden Dissertations and Doctoral Studies Collection 2021 Public Perceptions of Nigeria Police Monetary Bribery in Awka, Nigeria Benjamin Chukwuka Nnadozie Walden University Follow this and additional works at: https://scholarworks.waldenu.edu/dissertations Part of the Public Administration Commons This Dissertation is brought to you for free and open access by the Walden Dissertations and Doctoral Studies Collection at ScholarWorks. It has been accepted for inclusion in Walden Dissertations and Doctoral Studies by an authorized administrator of ScholarWorks. For more information, please contact [email protected]. Walden University College of Social and Behavioral Sciences This is to certify that the doctoral dissertation by Benjamin Chukwuka Nnadozie has been found to be complete and satisfactory in all respects, and that any and all revisions required by the review committee have been made. Review Committee Dr. Ernesto Escobedo, Committee Chairperson, Public Policy and Administration Faculty Dr. Raj Singh, Committee Member, Public Policy and Administration Faculty Dr. Meena Clowes, University Reviewer, Public Policy and Administration Faculty Chief Academic Officer and Provost Sue Subocz, Ph.D. Walden University 2021 Abstract Public Perceptions of Nigeria Police Monetary Bribery in Awka, Nigeria By Benjamin Chukwuka Nnadozie Dissertation Submitted in Partial Fulfullment of the Requirements for the Degree of Doctor of Philosophy Public Policy and Administration Walden University February 2021 Abstract The Nigerian police are often perceived by the Nigerian public as a very corrupt institution due to reports in the media and direct experiences of police brutality, extortion, injustice, and especially monetary bribery. The refusal to pay monetary bribes to the police has led to loss of lives and a lack of trust in the police. -
Human Resource Management Strategies for Small- and Medium-Sized Enterprise Project Success Armstrong Matthew Alexis Walden University
Walden University ScholarWorks Walden Dissertations and Doctoral Studies Walden Dissertations and Doctoral Studies Collection 2018 Human Resource Management Strategies for Small- and Medium-Sized Enterprise Project Success Armstrong Matthew Alexis Walden University Follow this and additional works at: https://scholarworks.waldenu.edu/dissertations Part of the Business Commons This Dissertation is brought to you for free and open access by the Walden Dissertations and Doctoral Studies Collection at ScholarWorks. It has been accepted for inclusion in Walden Dissertations and Doctoral Studies by an authorized administrator of ScholarWorks. For more information, please contact [email protected]. Walden University College of Management and Technology This is to certify that the doctoral study by Armstrong M. Alexis has been found to be complete and satisfactory in all respects, and that any and all revisions required by the review committee have been made. Review Committee Dr. Dorothy Hanson, Committee Chairperson, Doctor of Business Administration Faculty Dr. Teresa Jepma, Committee Member, Doctor of Business Administration Faculty Dr. Matthew Knight, University Reviewer, Doctor of Business Administration Faculty Chief Academic Officer Eric Riedel, Ph.D. Walden University 2018 Abstract Human Resource Management Strategies for Small- and Medium-Sized Enterprise Project Success by Armstrong M. Alexis MBA, Durham University, 2008 MS, University of the West Indies, 1997 BS, University of the West Indies, 1995 Doctoral Study Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Business Administration Walden University December 2018 Abstract Critical success factors that contribute to project success in small and medium-sized enterprises (SMEs) have received insufficient attention in research. Guided by the goal- setting conceptual framework, the purpose of this multiple case study was to explore the human resource management (HRM) strategies used by owners of SMEs to achieve project success. -
Qualitative Data Analysis Software: a Call for Understanding, Detail, Intentionality, and Thoughtfulness
MSVU e-Commons ec.msvu.ca/xmlui Qualitative data analysis software: A call for understanding, detail, intentionality, and thoughtfulness Áine M. Humble Version Post-print/Accepted manuscript Citation Humble, A. M. (2012). Qualitative data analysis software: A call for (published version) understanding, detail, intentionality, and thoughtfulness. Journal of Family Theory & Review, 4(2), 122-137. doi:10. 1111/j.1756- 2589.2012.00125.x Publisher’s Statement This article may be downloaded for non-commercial and no derivative uses. This article appears in the Journal of Family Theory and Review, a journal of the National Council on Family Relations; copyright National Council on Family Relations. How to cite e-Commons items Always cite the published version, so the author(s) will receive recognition through services that track citation counts. If you need to cite the page number of the author manuscript from the e-Commons because you cannot access the published version, then cite the e-Commons version in addition to the published version using the permanent URI (handle) found on the record page. This article was made openly accessible by Mount Saint Vincent University Faculty. Qualitative Data Analysis Software 1 Humble, A. M. (2012). Qualitative data analysis software: A call for understanding, detail, intentionality, and thoughtfulness. Journal of Family Theory & Review, 4(2), 122-137. doi:10. 1111/j.1756-2589.2012.00125.x This is an author-generated post-print of the article- please refer to published version for page numbers Abstract Qualitative data analysis software (QDAS) programs have gained in popularity but family researchers may have little training in using them and a limited understanding of important issues related to such use. -
Qualitative Research 1
Qualitative research 1 Dr Raqibat Idris, MBBS, DO, MPH Geneva Foundation for Medical Education and Research 28 November 2017 From Research to Practice: Training Course in Sexual and Reproductive Health Research Geneva Workshop 2017 Overview of presentation This presentation will: • Introduce qualitative research, its advantages, disadvantages and uses • Discuss the various approaches to qualitative design Introduction • Qualitative research is a study done to explain and understand the meaning or experience of a phenomenon or social process and the viewpoints of the affected individuals. • Investigates opinions, feelings and experiences. • Understands and describes social phenomena in their natural occurrence- holistic approach. • Does not test theories but can develop theories. Mason, 2002 Features of qualitative research • Exploratory • Fluid and flexible • Data-driven • Context sensitive • Direct interaction with affected individuals Mason, 2002 Advantages and disadvantages Advantages: • Richer information • Deeper understanding of the phenomenon under study Disadvantages: • Time consuming • Expensive • Less objective • Findings cannot be generalized Mason, 2002 Uses of qualitative studies Exploratory or pilot study: • Precedes a quantitative study to help refine hypothesis • Pilot study to examine the feasibility of a program/ project implementation • Designing survey questionnaires • To improve the reliability, validity and sensibility of new or existing survey instruments in a new population Green, 2013 Uses of qualitative studies To explain quantitative data findings: • Can follow a quantitative research to help provide a deeper understanding of the results. For example, the use of ethnography to explain the social context in which mortality and birth rate data are produced. • Parallel studies in a mixed qualitative and quantitative design to provide greater understanding of a phenomenon under study. -
Current Issues in Qualitative Data Analysis Software (QDAS): a User and Developer Perspective
The Qualitative Report Volume 23 Number 13 Article 5 3-6-2018 Current Issues in Qualitative Data Analysis Software (QDAS): A User and Developer Perspective Jeanine C. Evers Erasmus University of Rotterdam, [email protected] Follow this and additional works at: https://nsuworks.nova.edu/tqr Part of the Law Commons, Quantitative, Qualitative, Comparative, and Historical Methodologies Commons, and the Social Statistics Commons Recommended APA Citation Evers, J. C. (2018). Current Issues in Qualitative Data Analysis Software (QDAS): A User and Developer Perspective. The Qualitative Report, 23(13), 61-73. https://doi.org/10.46743/2160-3715/2018.3205 This Article is brought to you for free and open access by the The Qualitative Report at NSUWorks. It has been accepted for inclusion in The Qualitative Report by an authorized administrator of NSUWorks. For more information, please contact [email protected]. Current Issues in Qualitative Data Analysis Software (QDAS): A User and Developer Perspective Abstract This paper describes recent issues and developments in Qualitative Data Analysis Software (QDAS) as presented in the opening plenary at the KWALON 2016 conference. From a user perspective, it reflects current features and functionality, including the use of artificial intelligence and machine learning; implications of the cloud; user friendliness; the role of digital archives; and the development of a common exchange format. This user perspective is complemented with the views of software developers who took part in the “Rotterdam Exchange Format Initiative,” an outcome of the conference. Keywords Qualitative Data Analysis Software, QDAS, Artificial Intelligence, Machine Learning, TLA AS.ti, Cassandre, Dedoose, f4analyse, MAXQDA, NVivo, QDA Miner, Quirkos, Transana, Exchange format, Interoperability, Qualitative Data Analysis, Learning Curve QDAS, Textual Data Mining, Cloud services. -
The Value of CAQDAS for Systematising Literature Reviews
BY DR. CHRISTINA SILVER, [email protected] RESEARCH FELLOW, UNIVERSITY OF SURREY The value of CAQDAS for systematising literature reviews Software designed to facilitate qualitative and mixed methods research is collectively known as CAQDAS Undertaking a literature review is similar to con- (Computer Assisted Qualitative Data AnalysiS). ducting a qualitative data analysis (QDA) in terms Available since the 1980s it provides tools designed of the analytic activities involved (Table 2.). Specific to support a range of analytic activities across disci- analytic requirements should drive the way tools are plines and sectors. Using references from bibliographic used rather than the availability of product features software (e.g. Endnote, Zotero, Mendeley) enables systematic literature reviewing, integrated with data Table 2. analysis. This article outlines some possibilities, high- Analytic activities supported by CAQDAS lighting considerations in planning a literature review for librarians and others. Integration revy revy • Bring together all relevant material into one “workspace” • Quantify qualitative data / qualify quantitative data 01 2016 01 What CAQDAS packages “do”? Organisation The acronym “CAQDAS” is misleading because • Manage facts about data (metadata, socio-demo- these programs do not “do” analysis; users remain in graphics etc.) control of and responsible for everything. It’s there- • Represent ideas that form the basis of analysis fore better to think of them as project management tools. Harnessing CAQDAS powerfully involves their Exploration use from start to finish, whether for an academic • Familiarise with data study, service evaluation, public consultation, liter- • Access and mark inherent structure ature review, or anything else. Each program has a suite of features, too many to list here. -
The Coding Manual for Qualitative Researchers for Manual Coding The
2E Second Edition The Coding Manual for Qualitative Researchers ‘This book fills a major gap in qualitative research methods courses. Saldaña has accomplished what has not been done before - creating a text that clearly identifies the many choices one has in coding their data. I wish I had this book when I started conducting qualitative research. It should be required reading for all.’ Mark Winton, Criminal Justice Instructor, University of Central Florida ‘An excellent handbook that helps demystify the coding process with a comprehensive assessment of different coding types, examples and exercises. As such it is a valuable teaching resource and it will also be of use to anyone undertaking qualitative analysis.’ Kevin Meethan, Associate Professor in Sociology, Plymouth University The ‘The Coding Manual describes the qualitative coding process with clarity and expertise. Its wide array of strategies, from the more straightforward to the more complex, are skillfully explained and exemplified. This extremely usable manual is a must-have resource for qualitative researchers at all levels.’ Coding Manual for Tara M. Brown, Assistant Professor of Education, Brandeis University The second edition of Johnny Saldaña’s international bestseller provides an in-depth guide to the Qualitative Researchers multiple approaches available for coding qualitative data. Fully up-to-date, it includes new chapters, more coding techniques and an additional glossary. Clear, practical and authoritative, the book: • Describes how coding initiates qualitative data analysis • Demonstrates the writing of analytic memos • Discusses available analytic software • Suggests how best to use The Coding Manual for Qualitative Researchers for particular studies In total, 32 coding methods are profiled that can be applied to a range of research genres from grounded theory to phenomenology to narrative inquiry. -
Download: Casestudy-Researchmethodology
Case Study Design: A Refresher Mansureh Kebritchi, Ph.D. Research Methodology Group Agenda An overview about Major issues related case study to case study Answer your Case study design questions Definition of the Case Study “An empirical inquiry that investigates a contemporary phenomenon (e.g., a “case”) within its real-life context; when the boundaries between phenomenon and context are not clearly evident” (Yin, 2014, p.16) “A case study is an in-depth description and analysis of a bounded system” (Merriam, 2015, p.37). “The “what” is a bounded system (Smith, 1978), a single entity, a unit around which there are boundaries” (Merriam, 2015, p.38)/(Stake, 2005). Definition of the Case Study The most defining characteristics of case study is delimiting the object of the study: the case (Merriam, 2015) • The goal is to understand one thing well: a person, a program, a group, or specific policy; examples: one playground, one band. • Research question must be aligned/define the case/unit of analysis. A noun, seldom a verb, a functioning (Stake, 2006). Real things to visualize. Examples: not training, managing , giving birth but training modules, managers, labor rooms. The “Case” Bounded context The context The Case Examples A study of how older adults learn to use computers. The case/unit of analysis: learners’ experience. Indefinite number of adult leaders can be selected for this study. • Not a case study but a qualitative study One particular program, or classroom of leaners (a bounded system), or one particular learners selected based on success uniqueness, etc. • A case study When to use the Case Study Type of Research Questions relevant to the Case Study • Explanatory/explanatory/descriptive questions • How or why did something happen? Not Appropriate Questions • Cause and effect questions (experimental/quasi- experimental design) • How often something has happened (survey design) When to use the Case Study Data collection in “natural setting” not “derived“ data (Bromley, 1986, p. -
Bruno Colostate 0053A 16562.Pdf (4.546Mb)
DISSERTATION LINKED LIVELIHOODS, LAND-USE, AND IDENTITIES ON TRANSITIONING LANDSCAPES IN NORTHEASTERN COLORADO: A SOCIAL-ECOLOGICAL STUDY Submitted by Jasmine Elizabeth Bruno Department of Forest and Rangeland Stewardship In partial fulfillment of the requirements For the Degree of Doctor of Philosophy Colorado State University Fort Collins, Colorado Spring 2021 Doctoral Committee: Advisor: Maria E. Fernández-Giménez Meena M. Balgopal Paul J. Meiman Robin S. Reid Copyright by Jasmine Elizabeth Bruno 2021 All Rights Reserved ABSTRACT LINKED LIVELIHOODS, LAND-USE, AND IDENTITIES ON TRANSITIONING LANDSCAPES IN NORTHEASTERN COLORADO: A SOCIAL-ECOLOGICAL STUDY Rangeland social-ecological systems in Northeastern (NE) Colorado are undergoing linked land-use, livelihood, and identity transitions. Land change is a spatially and temporally complex process in which land-use decisions cascade through interconnected social and ecological spheres, affecting both humans and the environment. While a wealth of empirical research on land cover changes exists, multiscale, multilevel research on the causes and consequences of linked social- ecological change remains limited. To avoid oversimplification and craft system-appropriate policies in rangeland systems, we require in-depth and process-based knowledge of the causes and consequences of change. Moreover, we must build upon and advance theory to support the role of contextual research in advancing sound practical applications and future inquiry in related systems. Thus, this dissertation applies a theoretically informed multi-method approach to examine the interrelationships among livestock shifting livelihoods, well-being, identities, and associated land change transitions inproducers’ two rangeland-dependent communities in NE Colorado. Social-ecological systems (SESs) theory serves as this dissertation's theoretical foundation, framing rangelands as systems in which humans are embedded within and affect ecosystems and vice versa.