Sociology Name of Module: Computer Application in Qualitative Data Analysis
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QPN-Vol1.Pdf
Qualitative Psychology Nexus: Vol. 1 Mechthild Kiegelmann (Ed.) Qualitative Research in Psychology Verlag Ingeborg Huber All parts of this publication are protected by copyright. All rights reserved. No portion of this book may be reproduced by any process or technique, without the prior permission in writing from the publisher. Enquiries concerning reproduction should be sent to the publisher (see address below). Die Deutsche Bibliothek - CIP Cataloguing-in-Publication-Data Qualitative research in psychology / Mechthild Kiegelmann (ed.). - 1. ed.. - Schwangau : Huber, 2001 (Qualitative psychology nexus ; Vol. 1) ISBN 3-9806975-2-5 1. Edition 2001 © Verlag Ingeborg Huber Postfach 46 87643 Schwangau, Germany Tel./Fax +49 8362 987073 e-mail: [email protected] Web-Page: http://www.aquad.de ISBN 3-9806975-2-5 Content Preface by the editor 7 Introduction 8 Group I: Examples of Applications of Qualitative Methods, Part I 1. Discussion (summarized by Leo Gürtler) 17 2. Categorizing the Content of Everyday Family Communication Irmentraud Ertel 21 3. Emotions and Learning Strategies at School – Opportunities of Qualitative Content Analysis Michaela Gläser-Zikuda 32 4. The Role of Subjective Theories on Love Leo Gürtler 51 5. Deciding which Kinds of Data to Collect in an Evaluative Study and Selecting a Setting for Data Collection and Analysis Inge M. Lutz 66 6. Dynamics of a Qualitative Research Design. An Interactive Approach to Interactive Reception Thomas Irion 78 7. Cross-Cultural Youth Research as International and Inter- disciplinary Cooperation: The Project “International Learning.” Ilze Plaude and Josef Held 90 Group 2: Examples of Applications of Qualitative Methods, Part II 8. -
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 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. -
A Windows Software Tool for Qualitative Research [Version 2; Referees: 2 Approved] Ehsan Abdekhodaie 1, Javad Hatami1, Hadi Bahrami Ehsan1, Reza Kormi-Nouri2
F1000Research 2018, 7:536 Last updated: 12 SEP 2018 SOFTWARE TOOL ARTICLE WordCommentsAnalyzer: A windows software tool for qualitative research [version 2; referees: 2 approved] Ehsan Abdekhodaie 1, Javad Hatami1, Hadi Bahrami Ehsan1, Reza Kormi-Nouri2 1Department of Psychology, University of Tehran, Tehran, Iran 2Center for Health and Medical Psychology, Örebro University, Örebro, Sweden v2 First published: 03 May 2018, 7:536 (doi: 10.12688/f1000research.14819.1) Open Peer Review Latest published: 04 Sep 2018, 7:536 (doi: 10.12688/f1000research.14819.2) Referee Status: Abstract There is a lack of free software that provides a professional and smooth experience in text editing and markup for qualitative data analysis. Word Invited Referees processing software like Microsoft Word provides a good editing experience, 1 2 allowing the researcher to effortlessly add comments to text portions. However, organizing the keywords and categories in the comments can become a more difficult task when the amount of data increases. We present version 2 report WordCommentsAnalyzer, a software tool that is written in C# using .NET published Framework and OpenXml, which helps a qualitative researcher to organize 04 Sep 2018 codes when using Microsoft Word as the primary text markup software. WordCommentsAnalyzer provides an effective user interface to count codes, to version 1 organize codes in a code hierarchy, and to see various data extracts belonging published report report 03 May 2018 to each code. It also offers basic visualization tools. We illustrate how to use this software by conducting a preliminary content analysis on Tweets with the #successfulaging hashtag. We also demonstrate that the software has 1 Ronggui Huang, Fudan University, China satisfactory performance on a large dataset of Iranian journals abstracts. -
Designing AI-Based Systems for Qualitative Data Collection and Analysis
Designing AI-Based Systems for Qualitative Data Collection and Analysis Zur Erlangung des akademischen Grades eines Doktors der Wirtschaftswissenschaften ( Dr. rer. pol. ) von der KIT-Fakultät für Wirtschaftswissenschaften des Karlsruher Instituts für Technologie (KIT) genehmigte DISSERTATION von Tim Rietz, M.Sc. ______________________________________________________________ Tag der mündlichen Prüfung: 01.07.2021 Referent: Prof. Dr. Alexander Mädche Korreferent: Prof. Dr. Paola Spoletini Karlsruhe Mai 2021 Acknowledgments Having started my PhD studies in December 2017, I remember the past three and a half years as a series of ups and downs, which probably goes for everything in life. Looking back at this exciting, inspiring, and challenging time, I distinctly remember many ups, while the downs seem almost forgotten. To a large extent, I attribute this to the wonderful people that I got to meet along the way, who never failed to make my time as a PhD student and as an IT consultant fun. Certainly, I want to thank my mentor and PhD supervisor Prof. Dr. Alexander M¨adche, for his guidance, inspiration, and feedback throughout my studies. While I did not know what to expect when I started my position at the institute, I quickly learned how lucky I was with my choice of a supervisor. Alexander always had an open door for my questions, ideas, and concerns. He also actively seeked updates on my process and encourage me to submit my research to prestigious outlets. I am incredibly grateful for your support. On that note, I also want to thank Prof. Dr. Paola Spoletini, Prof. Dr. Hagen Lindst¨adt, and Prof. Dr. -
Final Report
Phase-I Study of the E ects of Professional Development and Long-Term Support on Program Implementation and Scaling Up: Final Report Paul R. Brandon, Alice K. H. Taum, Carlos C. Ayala, Donald B. Young, Mary E. Gray, Thomas W. Speitel, Thanh Truc T. Nguyen, and Francis M. Pottenger III Curriculum Research & Development Group College of Education University of Hawai‘i at Mānoa Honolulu, Hawai‘i May 2007 Phase-I Study of the Effects of Professional Development and Long-Term Support on Program Implementation and Scaling Up: Final Report Paul R. Brandon, Alice K. H. Taum, Carlos C. Ayala, Donald B. Young, Mary E. Gray, Thomas W. Speitel, Thanh Truc T. Nguyen, and Francis M. Pottenger III Curriculum Research & Development Group College of Education University of Hawai‘i at Mānoa Honolulu, Hawai‘i May 2007 This is the final report of a project funded by the National Science Foundation (Grant No. REC0228158), Paul R. Brandon, Principal Investigator (PI), Donald B. Young, co-PI, and Alice K. H. Taum, Project Manager. Paul Brandon oversaw the project, with Donald Young’s assistance, and was in charge of developing the teacher questionnaire and the instrument for judging program quality. In addition to managing the project, Alice Taum was in charge of developing the observation coding protocol. Carlos Ayala of Sonoma State University developed the student assessment. Thomas Speitel and Mary Gray oversaw the development of the alternative version of professional development (PD) that is described in the study. Thanh Truc Nguyen contributed significantly to the development of the multimedia DVD-ROM that was developed as part of the alternative PD package. -
Ethnography As an Inquiry Process in Social Science
ETHNOGRAPHY AS AN INQUIRY PROCESS IN SOCIAL SCIENCE RESEARCH Ganga Ram Gautam ABSTRACT This article is an attempt to present the concept of ethnography as a qualitative inquiry process in social science research. The paper begins with the introduction to ethnography followed by the discussion of ethnography both as an approach and a research method. It then illustrates how ethnographic research is carried out using various ethnographic methods that include participant observation, interviewing and collection of the documents and artifacts. Highlighting the different ways of organizing, analyzing and writing ethnographic data, the article suggests ways of writing the ethnographic research. THE INQUIRY PROCESS Inquiry process begins consciously and/or subconsciously along with the beginning of human life. The complex nature of our life, problems and challenges that we encounter both in personal and professional lives and the several unanswered questions around us make us think and engage in the inquiry process. Depending upon the nature of the work that one does and the circumstances around them, people choose the inquiry process that fits into their inquiry framework that is built upon the context they are engaged in. This inquiry process in education is termed as research and research in education has several dimensions. The inquiry process in education is also context dependent and it is driven by the nature of the inquiry questions that one wants to answer. UNDERSTANDING ETHNOGRAPHY Ethnography, as a form of qualitative research, has now emerged as one of the powerful means to study human life and social behavior across the globe. Over the past fifteen years there has been an upsurge of ethnographic work in British educational research, making ethnography the most commonly practiced qualitative research method. -
Research Techniques in Network and Information Technologies, February
Tools to support research M. Antonia Huertas Sánchez PID_00185350 CC-BY-SA • PID_00185350 Tools to support research The texts and images contained in this publication are subject -except where indicated to the contrary- to an Attribution- ShareAlike license (BY-SA) v.3.0 Spain by Creative Commons. This work can be modified, reproduced, distributed and publicly disseminated as long as the author and the source are quoted (FUOC. Fundació per a la Universitat Oberta de Catalunya), and as long as the derived work is subject to the same license as the original material. The full terms of the license can be viewed at http:// creativecommons.org/licenses/by-sa/3.0/es/legalcode.ca CC-BY-SA • PID_00185350 Tools to support research Index Introduction............................................................................................... 5 Objectives..................................................................................................... 6 1. Management........................................................................................ 7 1.1. Databases search engine ............................................................. 7 1.2. Reference and bibliography management tools ......................... 18 1.3. Tools for the management of research projects .......................... 26 2. Data Analysis....................................................................................... 31 2.1. Tools for quantitative analysis and statistics software packages ...................................................................................... -
Oral History Workshop Curriculum
DOING ORAL HISTORY: Helping Christians Tell Their Own Story Class Curriculum based on and revised from original work by Dr. Jean-Paul Wiest April 2015 Mrs. Michèle Sigg, Instructor 1 Introduction: Oral History: Definitions, Uses, and Purpose ________________________________________________________ What is oral history? A method for gathering historical information. A collection of oral testimonies collected in order to reconstruct the past Different from oral tradition (a community’s cultural and historical traditions passed down by word of mouth or example from one generation to another) The basis of oral history is the interview Uses and Purpose of Oral History Corrects distortions or gaps in collective memory Provides information when there are inadequate written documents or no documents at all Democratic view of history: takes into account those whose voice is absent in traditional historical accounts: eg voices of ethnic and religious minorities, women Complements, enriches, and deepens certain “received” understandings of history Illustrates the connection between Christian belief and practice 2 Why do church leaders and missionaries need oral history? In the Global South, where orality and oral culture are prevalent and written historical documents are lacking, oral history can serve to retrieve the memory of local events. If the goal of cross-cultural mission is to share the good news of the kingdom of God in a culturally appropriate way, then oral history is an essential tool that can be used to get to know the local culture and history of the people. In the formation of a local Christian identity that is culturally authentic, oral history can be used to document the local history both before the arrival of the missionaries and afterwards, when the Christian community is taking shape. -
31295016527862.Pdf (6.741Mb)
A COMPARATIVE STUDY OF TASK DOMAIN ANALYSIS TO ENHANCE ORGANIZATIONAL KNOWLEDGE MANAGEMENT: SYSTEMS THINKING AND GOLDRATT'S THINKING PROCESSES by PHILIP FATINGANDA MUSA, B.S.E.E., M.S.E.E., M.B.A. A DISSERTATION IN BUSINESS ADMINISTRATION Submitted to the Gracluate Faculty of Texas Tech University in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY ApprovecJ Accepted December, 2000 Copyright 2000, Philip Fatinganda Musa, B.S.E.E., M.S.E.E., M.B.A. ACKNOWLEDGEMENTS I find words inadequate to express my heartfelt gratitude to all those who have had positive impact on my life heretofore. Although it would be a futile exercise to attempt to mention all the wonderful people that I have come to know, I would like to acknowledge those who have, in obvious ways, helped me attain this milestone. Special thanks go to the staff at Texas Tech. I truly had fun working with Mr. Jerry C. De Baca and Pam Knighten-Jones. The editorial service provided by Barbi Dickensheet in the Graduate School is second to none. The financial support provided by KPMG Peat Marwick is greatly appreciated. Mr. Bernard Milano, Ms. Tara Perino, and all the wonderful people at the foundation are angels in their own right. Others who made major contributions to my hapiness at Texas Tech include Mr. Mark Smith, Mr. Jessie Range!, Mr. and Mrs. Tom Burtis, Mr. Bob Rhoades, Drs. Darrell Vines, Thomas Trost, Osamu Ishihara, Mr. and Mrs. Ken Dendy, and Mr. Samuel Spralls who so diligently helped code my research. The people who had direct influence on my work during the Ph.D.