An Introduction to Codes and Coding
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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). -
Nvivo 8 Help Using the Software
NVivo 8 Help Using the Software This is a printable version of the NVivo 8 help that is built into the software. The help is divided into two sections - Using the Software and Working with Your Data. This section of the help contains step-by-step instructions and provides the fundamental information you need to work with the software. To electronically navigate through this help and link to other topics, go to the NVivo Help under the Help menu in your NVivo 8 software. Click a button for related instructions or concepts. Produced November 2008. Copyright © 2008 QSR International Pty Ltd ABN 47 006 357 213. All rights reserved. NVivo and QSR words and logos are trademarks or registered trademarks of QSR International Pty Ltd. Patent pending. Microsoft, .NET, SQL Server, Windows, XP, Vista, Windows Media Player, Word, PowerPoint and Excel are trademarks or registered trademarks of the Microsoft Corporation in the United States and/or other countries. Adobe, .pdf and Flash Player are trademarks or registered trademarks of Adobe Systems Integrated in the United States and/or other countries. QuickTime and the QuickTime logo are trademarks or registered trademarks of Apple Computer, Inc., used under license there from. Crystal Reports is a trademark or registered trademark of Business Objects SA. This information is subject to change without notice. NVivo 8 Help - Using the Software Contents Introduction ............................................................................................................................................................ -
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. -
Thematic Analysis]
[citations: alpha order] [spelling UK ize] [recto running head: Thematic analysis] 2 Thematic Analysis Gareth Terry, Nikki Hayfield, Victoria Clarke and Virginia Braun Introduction This chapter introduces thematic analysis (TA), a method that has become a widely-used tool for analysing qualitative data, both in psychology and beyond. We first outline the history and context of TA, and identify key issues that need to be considered when conducting TA. We discuss the flexibility TA can offer, and highlight the need for deliberate and careful research. This flexibility can apply to theoretical assumptions, research questions, data collection and analysis. We include a detailed worked demonstration of the processes and procedures of undertaking a TA, illustrated with examples from Nikki Hayfield, Victoria Clarke, Sonja Ellis and Gareth Terry’s research on the lived experiences of childfree women (see Box 2.1). Our discussion of how to complete a TA is based on a widely used version of TA – the approach developed by Virginia Braun and Victoria Clarke (2006). We conclude by considering the limitations and applications of TA, as well as future directions. [TS: Insert Box 2.1 about here] Box 2.1 Introducing the lived experience of childfree women (child -freedom) study Thematic analysis: History and context What is thematic analysis (TA)? This question invites many different answers. TA practitioner Joffe (2012) credits philosopher of science Gerald Holton with founding TA in his work on ‘themata’ in scientific thought (Holton, 1975), but the term does seem to pre-date Holton’s use of it. Since the early part of the twentieth century, if not earlier, the term ‘thematic analysis’ has been used to refer to a number of different things, including, but not limited to, data analysis techniques in the social sciences. -
The Thematic Analysis of Interview Data: an Approach Used to Examine the Influence of the Market on Curricular Provision in Mongolian Higher Education Institutions
The thematic analysis of interview data: an approach used to examine the influence of the market on curricular provision in Mongolian higher education institutions Narantuya Jugder National Academy of Governance of Mongolia Khan-Uul district 11th khoroo Bogd Javzandamba street Ulaanbaatar 17012 Mongolia Email for correspondence: [email protected] Acknowledgement I would like to express my sincere and deep gratitude to my supervisors, Professor Jeremy Higham and Dr Michael Wilson, for their patience, constant support and encouragement and for their unconditional support in times of hardship throughout my PhD study. I also thank Professor Roger Brown and Dr Martin Wedell for their valuable advice. Abstract This article describes how thematic analysis was used in the analysis of the qualitative interviews in a doctoral study that was designed to examine the changes taking place in the higher education market in Mongolia in terms of undergraduate curricular provision. The paper presents a rationale for using thematic analysis demonstrating analytical rigour in the stages of coding and the identification of emergent themes through the use of NVivo. Hillary Place Papers, 3rd edition (Jan 2016), University of Leeds 2 Narantuya Jugder Context of the research According to the 2010-2011 education statistics issued by the Ministry of Education and Science of Mongolia, there were 113 HE institutions for a population of 2.7 million people. The student population was not large: 155801 students studying at HE institutions for Bachelor degrees. Of all new entrants to HEIs in the 2012 academic year, 80.6% completed their general education schooling in the same year. The aim of the study was to examine the changes in Mongolian higher education in the context of the market and to assess their influence on institutions of higher education, in particular on curricular provision at undergraduate level. -
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. -
R for Beginners
R for Beginners Emmanuel Paradis Institut des Sciences de l'Evolution´ Universit´e Montpellier II F-34095 Montpellier c´edex 05 France E-mail: [email protected] I thank Julien Claude, Christophe Declercq, Elo´ die Gazave, Friedrich Leisch, Louis Luangkesron, Fran¸cois Pinard, and Mathieu Ros for their comments and suggestions on earlier versions of this document. I am also grateful to all the members of the R Development Core Team for their considerable efforts in developing R and animating the discussion list `rhelp'. Thanks also to the R users whose questions or comments helped me to write \R for Beginners". Special thanks to Jorge Ahumada for the Spanish translation. c 2002, 2005, Emmanuel Paradis (12th September 2005) Permission is granted to make and distribute copies, either in part or in full and in any language, of this document on any support provided the above copyright notice is included in all copies. Permission is granted to translate this document, either in part or in full, in any language provided the above copyright notice is included. Contents 1 Preamble 1 2 A few concepts before starting 3 2.1 How R works . 3 2.2 Creating, listing and deleting the objects in memory . 5 2.3 The on-line help . 7 3 Data with R 9 3.1 Objects . 9 3.2 Reading data in a file . 11 3.3 Saving data . 14 3.4 Generating data . 15 3.4.1 Regular sequences . 15 3.4.2 Random sequences . 17 3.5 Manipulating objects . 18 3.5.1 Creating objects . -
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. -
A Software-Assisted Qualitative Content Analysis of News Articles: Example and Reflections
Volume 16, No. 2, Art. 8 May 2015 A Software-Assisted Qualitative Content Analysis of News Articles: Example and Reflections Florian Kaefer, Juliet Roper & Paresha Sinha Key words: Abstract: This article offers a step-by-step description of how qualitative data analysis software can qualitative content be used for a qualitative content analysis of newspaper articles. Using NVivo as an example, it analysis; method; illustrates how software tools can facilitate analytical flexibility and how they can enhance news articles; transparency and trustworthiness of the qualitative research process. Following a brief discussion NVivo software; of the key characteristics, advantages and limitations of qualitative data analysis software, the qualitative data article describes a qualitative content analysis of 230 newspaper articles, conducted to determine analysis software international media perceptions of New Zealand's environmental performance in connection with (QDAS); climate change and carbon emissions. The article proposes a multi-level coding approach during computer-assisted the analysis of news texts that combines quantitative and qualitative elements, allowing the qualitative data researcher to move back and forth in coding and between analytical levels. The article concludes analysis that while qualitative data analysis software, such as NVivo, will not do the analysis for the (CAQDAS) researcher, it can make the analytical process more flexible, transparent and ultimately more trustworthy. Table of Contents 1. Introduction 2. Literature Review 2.1 Qualitative content analysis (QCA) 2.2 Software-assisted qualitative data analysis 3. A Step-by-Step Approach to Software-Assisted Qualitative Content Analysis of News Articles 3.1 Step 1: Selecting and learning the software 3.1.1 Getting to know the software: Sample project, literature review 3.2 Step 2: Data import and preparation 3.3 Step 3: Multi-level coding 3.3.1 Coding: Inductive vs. -
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. -
A Social Constructionist Informed Thematic Analysis of Male Clinical Psychologists Experience of Working with Female Clients Who Have Experienced Abuse
A SOCIAL CONSTRUCTIONIST INFORMED THEMATIC ANALYSIS OF MALE CLINICAL PSYCHOLOGISTS EXPERIENCE OF WORKING WITH FEMALE CLIENTS WHO HAVE EXPERIENCED ABUSE Omar Timberlake A thesis submitted in partial fulfilment of the requirements of the University of East London for the degree of Doctor of Clinical Psychology 1 May 2015 Acknowledgements I would like to thank all those who have supported me in my endeavours to complete this research project and the doctorate in clinical psychology. I would also like to thank my mother and grandmother for all their support and my supervisor Pippa Dell for ‘hanging in there’ with me, even when I was a pain. 2 Abstract This research sought to explore how male clinical psychologists talked about their experiences of working with women who have experienced abuse and whether such gender difference in the context of therapeutic work problematized them or had implications for their practice and subjective experiences. Eight male clinical psychologists were recruited and interviewed using a conversational style and co-constructed interview schedules. All participants had experience of working with clients who had experienced abuse and were working in the National Health Service (NHS) in a variety of different settings, which included psychosis teams, child services and learning disability services. The data corpus was analysed using a social constructionist thematic analysis (Braun & Clarke, 2006) also informed by the work of Michel Foucault (1972), set within critical realist ontology. From the analysis two main themes were generated (Gender difference in trauma work; Male clinical psychologists’ perspectives in the wider context) and six sub- themes (Male clinical psychologist as associated with the abuser; Gender difference as therapeutic; Female clinical psychologists as problematized by gender; Supervision and peer support; Service constraints; Maleness as a minority in clinical psychology).