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Fundamentals of Qualitative Research Methods: Data Analysis (Module 5)
 
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Qualitative research is a strategy for systematic collection, organization, and interpretation of phenomena that are difficult to measure quantitatively. Dr. Leslie Curry leads us through six modules covering essential topics in qualitative research, including what it is qualitative research and how to use the most common methods, in-depth interviews and focus groups. These videos are intended to enhance participants' capacity to conceptualize, design, and conduct qualitative research in the health sciences. Welcome to Module 5. Bradley EH, Curry LA, Devers K. Qualitative data analysis for health services research: Developing taxonomy, themes, and theory. Health Services Research, 2007; 42(4):1758-1772. Learn more about Dr. Leslie Curry http://publichealth.yale.edu/people/leslie_curry.profile Learn more about the Yale Global Health Leadership Institute http://ghli.yale.edu
Views: 154458 YaleUniversity
Qualitative analysis of interview data: A step-by-step guide
 
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The content applies to qualitative data analysis in general. Do not forget to share this Youtube link with your friends. The steps are also described in writing below (Click Show more): STEP 1, reading the transcripts 1.1. Browse through all transcripts, as a whole. 1.2. Make notes about your impressions. 1.3. Read the transcripts again, one by one. 1.4. Read very carefully, line by line. STEP 2, labeling relevant pieces 2.1. Label relevant words, phrases, sentences, or sections. 2.2. Labels can be about actions, activities, concepts, differences, opinions, processes, or whatever you think is relevant. 2.3. You might decide that something is relevant to code because: *it is repeated in several places; *the interviewee explicitly states that it is important; *you have read about something similar in reports, e.g. scientific articles; *it reminds you of a theory or a concept; *or for some other reason that you think is relevant. You can use preconceived theories and concepts, be open-minded, aim for a description of things that are superficial, or aim for a conceptualization of underlying patterns. It is all up to you. It is your study and your choice of methodology. You are the interpreter and these phenomena are highlighted because you consider them important. Just make sure that you tell your reader about your methodology, under the heading Method. Be unbiased, stay close to the data, i.e. the transcripts, and do not hesitate to code plenty of phenomena. You can have lots of codes, even hundreds. STEP 3, decide which codes are the most important, and create categories by bringing several codes together 3.1. Go through all the codes created in the previous step. Read them, with a pen in your hand. 3.2. You can create new codes by combining two or more codes. 3.3. You do not have to use all the codes that you created in the previous step. 3.4. In fact, many of these initial codes can now be dropped. 3.5. Keep the codes that you think are important and group them together in the way you want. 3.6. Create categories. (You can call them themes if you want.) 3.7. The categories do not have to be of the same type. They can be about objects, processes, differences, or whatever. 3.8. Be unbiased, creative and open-minded. 3.9. Your work now, compared to the previous steps, is on a more general, abstract level. You are conceptualizing your data. STEP 4, label categories and decide which are the most relevant and how they are connected to each other 4.1. Label the categories. Here are some examples: Adaptation (Category) Updating rulebook (sub-category) Changing schedule (sub-category) New routines (sub-category) Seeking information (Category) Talking to colleagues (sub-category) Reading journals (sub-category) Attending meetings (sub-category) Problem solving (Category) Locate and fix problems fast (sub-category) Quick alarm systems (sub-category) 4.2. Describe the connections between them. 4.3. The categories and the connections are the main result of your study. It is new knowledge about the world, from the perspective of the participants in your study. STEP 5, some options 5.1. Decide if there is a hierarchy among the categories. 5.2. Decide if one category is more important than the other. 5.3. Draw a figure to summarize your results. STEP 6, write up your results 6.1. Under the heading Results, describe the categories and how they are connected. Use a neutral voice, and do not interpret your results. 6.2. Under the heading Discussion, write out your interpretations and discuss your results. Interpret the results in light of, for example: *results from similar, previous studies published in relevant scientific journals; *theories or concepts from your field; *other relevant aspects. STEP 7 Ending remark Nb: it is also OK not to divide the data into segments. Narrative analysis of interview transcripts, for example, does not rely on the fragmentation of the interview data. (Narrative analysis is not discussed in this tutorial.) Further, I have assumed that your task is to make sense of a lot of unstructured data, i.e. that you have qualitative data in the form of interview transcripts. However, remember that most of the things I have said in this tutorial are basic, and also apply to qualitative analysis in general. You can use the steps described in this tutorial to analyze: *notes from participatory observations; *documents; *web pages; *or other types of qualitative data. STEP 8 Suggested reading Alan Bryman's book: 'Social Research Methods' published by Oxford University Press. Steinar Kvale's and Svend Brinkmann's book 'InterViews: Learning the Craft of Qualitative Research Interviewing' published by SAGE. Text and video (including audio) © Kent Löfgren, Sweden
Views: 691634 Kent Löfgren
10 Qualitative data analysis
 
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A video tutorial from the National Union of Students, introducing the principles and practice of qualitative data analysis particularly for free text comments on the National Student Survey.
Views: 8181 Kate Little
Qualitative Data Analysis
 
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This is Chapter 10 about how to analyze qualitative data
Views: 11952 Qingwen Dong
Topic 11 Qualitative Data Analysis
 
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Process involves in analysing qualitative data. Thanks to SMMTC & Mr. Faharul from Aspati Sdn Bhd for the production.
Views: 99563 mohdkhairieuum
Qualitative data analysis
 
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Views: 41333 Jeongeun Kim
Qualitative Data Analysis - Coding & Developing Themes
 
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This is a short practical guide to Qualitative Data Analysis
Views: 108446 James Woodall
Qualitative Analysis: Coding and Categorizing Data by Philip Adu, Ph.D.
 
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Data analysis is all about data reduction. But how do you reduce data without losing the meaning? What is the coding process? What coding strategies can you use? How do you make sure the categories or themes address your research question(s)? How do you present your qualitative findings in a meaningful manner? If you want answers to these questions, watch this video. To access the PowerPoint slides, please go to:https://www.slideshare.net/kontorphilip/qualitative-analysis-coding-and-categorizing To buy Dr. Philip Adu's new book, 'A Step-by-Step Guide to Qualitative Data Coding', please go to Amazon (https://www.amazon.com/Step-Step-Guide-Qualitative-Coding/dp/1138486876/ref=sr_1_3?ie=UTF8&qid=1543874247&sr=8-3&keywords=Philip+adu)
Data Analysis in Qualitative Research
 
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Description
Views: 77 dennissale
Qualitative Data Analysis with MAXQDA (Intro Webinar)
 
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Watch this webinar for a quick overview of qualitative data analysis with MAXQDA 2018. Trainer: Graham Hughes. Learn more about MAXQDA here: https://www.maxqda.com/learn-maxqda The trainer demonstrates basic procedures of MAXQDA: for example creating a project, importing data, coding, search & retrieval. Besides learning about the basic functionality you will get a quick insight into some of the more advanced features of MAXQDA.
Views: 5788 MAXQDA VERBI
QCA 00 - An introduction to Qualitative Research Data analysis
 
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This is an introduction to how textual material in Qualitative (Interpretive) research can be analysed. It is illustrated using the analyser that is the subject of the other "QCA" videos in my channel - a link to a pre-release version of the analyser (and installation and user instructions) is available at http://qualanal.wikispaces.com. (I am SORRY about the cell phone interference, I will re-do this video soundtrack ASAP!)
Views: 4771 Andy Bytheway
Triangulation in Qualitative Research Podcast - Short Version
 
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In this qualitative methods podcast, I focus on the concept of triangulation by defining and explaining what triangulation is, discussing the different types of triangulation, addressing the advantages and disadvantages of using triangulation, and offering examples of using triangulation in qualitative research. This podcast was created in QUAL 9400 - Advanced Seminar in Qualitative Research taken at The University of Georgia during the fall of 2014.
Views: 31593 Danny G.
Qualitative Data Analysis in Education
 
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This film introduces qualitative data analysis in the educational context. By using data, teachers can utilize informed instruction. Interviews, focus groups and observations are some ways of gathering qualitative data. See more in HD at: http://sk.sagepub.com/video/qualitative-teaching-methods-in-education View more Education videos: https://www.youtube.com/playlist?list=PL9QPQYE5oDEvwi0VRas1Mmf5HCFZoxNxt #SAGEVideo
Views: 899 SAGE Video
Qualitative vs. Quantitative
 
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Let's go on a journey and look at the basic characteristics of qualitative and quantitative research!
Views: 717016 ChrisFlipp
Analysing your Interviews
 
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This video is part of the University of Southampton, Southampton Education School, Digital Media Resources http://www.southampton.ac.uk/education http://www.southampton.ac.uk/~sesvideo/
How to Know You Are Coding Correctly: Qualitative Research Methods
 
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Coding your qualitative data, whether that is interview transcripts, surveys, video, or photographs, is a subjective process. So how can you know when you are doing it well? We give you some basic tips.
Qualitative data analysis: Coding
 
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This video shows how to analyze qualitative data in order to answer a research question. I use it in my ethnography class at the Master level. I then discuss the example with my students in class. Please leave your comments and questions below.
Views: 705 Johanna Gollnhofer
Map, tables, charts and diagrams in qualitative data analysis
 
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Looks at the use of charts and tables both for data elicitation and clarification and to support the analysis of qualitative data. The lecture looks at a range of different ways of presenting qualitative data in diagrams and tables. It focuses particularly on how this can support the discovery of patterns in data. This was a lecture given to postgraduate (graduate) students at the University of Huddersfield as part of a course on Qualitative Data Analysis. To learn more about social research methods you might be interested in this new, inexpensive, postgraduate, distance learning course: MSc Social Research and Evaluation. The course is delivered entirely via the Internet. http://sre.hud.ac.uk/ Works referred to in the video include: Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: a sourcebook of new methods. Beverly Hills, CA: Sage. The tables in this video are taken from this edition, but there is a new edition: Miles, M. B., Huberman, A. M. & Saldaña, J. (2014). Qualitative data analysis: a sourcebook of new methods. 3rd Ed. Los Angeles, CA: Sage. Ritchie, J., & Lewis, J. (2003) Qualitative Research Practice: A Guide for Social Science Students and Researchers. London: Sage. There is also a new edition of this book: Ritchie, J., Lewis, J., McNaughton Nicholls, C and Ormston, R (eds) (2013) Qualitative Research Practice: A Guide for Social Science Students and Researchers. London: Sage. See also my book: Gibbs, G.R. (2007) Analyzing Qualitative Data. London: Sage. See, Chapter 6 ‘Comparative Analysis’. Credits: Sounds and music: 'Fifth Avenue Stroll' from iLife Sound Effects, http://images.apple.com/legal/sla/docs/ilife09.pdf Image: Freizeitanlage Kräwinklerbrücke, Kräwinklerbrücke in Remscheid by Frank Vincentz, Wikimedia Commons, licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
Views: 8239 Graham R Gibbs
Analyzing a Qualitative Survey
 
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We'll look at how to take a qualitative survey and extract insight that you can use for your interactive project. Fourth video in the qualitative research series.
Views: 4684 UX School
Qualitative Data Analysis: Visualizing Data with MAXQDA 2018
 
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In this video tutorial, we will give you a brief overview of all the visual tools in MAXQDA 2018. Except MAXMaps, which is so comprehensive, that it gets its own tutorial. If you want more information about each visual tool, you can also check out our tutorials about Visual Tools in MAXQDA 12, until we have produced new ones. You can find them in our MAXQDA 12 playlist, right here: https://www.youtube.com/playlist?list=PLeKBk3lzrGUyHlaNZ7dX60u4_5sw5Mow6
Views: 7466 MAXQDA VERBI
Writing Tip #3: Writing Qualitative Findings Paragraphs
 
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This video presents a "formula" for writing qualitative findings paragraphs in research reports. It presents the Setup-Quote-Comment model (SQC).
Qualitative data management and analysis
 
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Subject: Social Work Education Paper:Research Methods and Statistics Module:Qualitative Data Management & Analysis Content Writer: Dr. Yamini Suvarna
Views: 801 Vidya-mitra
Beginners guide qualitative data analysis
 
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Views: 2296 Fiona Bloomer
Qualitative Vs Quantitative Research: Difference between them with examples & methods
 
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In this video tutorial, you will get to learn the difference between qualitative and quantitative research, along with the methods and suitable examples. You can further study this topic on our official website:- https://keydifferences.com/difference-between-qualitative-and-quantitative-research.html In keydifferences.com, you can find the substantial differences between two topics.
Views: 110941 Key Differences
QDA Miner Lite - Free Qualitative Data Analysis Software
 
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In this video, we are going to show you how to use QDA Miner Lite to code and analyze your documents and images. QDA Miner Lite is a free qualitative data analysis software made by Provalis Research.
Keeping Track of  Qualitative Research Data using Excel
 
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This screen cast demonstrates the use of Microsoft Excel to organize information for qualitative research.
Views: 38444 tamuwritingcenter
Coding Part 1: Alan Bryman's 4 Stages of qualitative analysis
 
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An overview of the process of qualitative data analysis based on Alan Bryman's four stages of analysis. Reference Bryman, A (2001) Social Research Methods, Oxford: Oxford University Press This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) http://creativecommons.org/licenses/by-nc-sa/4.0/
Views: 196173 Graham R Gibbs
Qualitative and Quantitative research in hindi  | HMI series
 
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For full course:https://goo.gl/J9Fgo7 HMI notes form : https://goo.gl/forms/W81y9DtAJGModoZF3 Topic wise: HMI(human machine interaction):https://goo.gl/bdZVyu 3 level of processing:https://goo.gl/YDyj1K Fundamental principle of interaction:https://goo.gl/xCqzoL Norman Seven stages of action : https://goo.gl/vdrVFC Human Centric Design : https://goo.gl/Pfikhf Goal directed Design : https://goo.gl/yUtifk Qualitative and Quantitative research:https://goo.gl/a3izUE Interview Techniques for Qualitative Research :https://goo.gl/AYQHhF Gestalt Principles : https://goo.gl/Jto36p GUI ( Graphical user interface ) Full concept : https://goo.gl/2oWqgN Advantages and Disadvantages of Graphical System (GUI) : https://goo.gl/HxiSjR Design an KIOSK:https://goo.gl/Z1eizX Design mobile app and portal sum:https://goo.gl/6nF3UK whatsapp: 7038604912
Views: 65143 Last moment tuitions
Writing-up Qualitative Research
 
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Looks at a range of issues that need thinking about when writing up qualitative research. These include: getting started, free-writing, organization – chronological, thematic etc. – focus, drop files, getting feedback, details, tightening up, style, conclusions and editing. This was a lecture given to postgraduate (graduate) students at the University of Huddersfield as part of a course on Qualitative Data Analysis. To learn more about social research methods you might be interested in this new, inexpensive, postgraduate, distance learning course: MSc Social Research and Evaluation. The course is delivered entirely via the Internet. http://sre.hud.ac.uk/ Becker, H. S. (1986). Writing for Social Scientists: How to Start and Finish your Thesis, Book or Article. Chicago and London: University of Chicago Press. Elbow, P. (1981) Writing with Power: Techniques for Mastering the Writing Process. New York: Oxford University Press Wolcott, H. F. (2009) Writing up qualitative research (3rd ed.). Newbury Park, Calif. ; London: Sage.
Views: 41456 Graham R Gibbs
Conducting Qualitative Analysis Using NVivo 11 (Part1) by Philip Adu, Ph.D.
 
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Manually analyzing qualitative data could be burdensome and time consuming. The introduction of user-friendly qualitative data analysis software such as NVivo has made analyzing qualitative data less stressful and more enjoyable. However, figuring out how to: import files, analyze data, create memos and annotations, organize cases and characteristics, and visualize and export findings turns out to be challenging to first-time-users of the NVivo software. With this webinar, Dr. Philip Adu presents a step-by-step process of analyzing qualitative data using NVivo software. To access the PowerPoint slides, please go to: https://www.slideshare.net/kontorphilip/conducting-qualitative-analysis-using-nvivo-a-quick-reference To buy Dr. Philip Adu's new book, 'A Step-by-Step Guide to Qualitative Data Coding', please go to Amazon (https://www.amazon.com/Step-Step-Guide-Qualitative-Coding/dp/1138486876/ref=sr_1_3?ie=UTF8&qid=1543874247&sr=8-3&keywords=Philip+adu)
Qualitative and Quantitative Data
 
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Quantitative Data vs Qualitative Data Additional Information on Qualitative vs Quantitative Data http://www.moomoomath.com/qualitative-and-quantitative-data.html Data can be divided into two groups called quantitative and qualitative data Quantitative data is numerical Qualitative Data id descriptive data Let’s look at examples of both Examples of quantitative data would be The number of pets, time of day, the temperature outside Quantitative data can be graphed If you count or measure, you are collecting quantitative data There are two types of quantitative data, discrete and continuous Discrete data is usually data you can count and continuous data is usually data you measure. I have a separate video on these two types of data. Qualitative is descriptive or observations and uses words For example, the color of a house, smell of a sock, texture of a shirt Quantitative or Qualitative Consider a cat Quantitative Data would be the cat has 4 legs and weighs 10 pounds Qualitative data would be the cat is yellow, and has soft fur A bookshelf Quantitative would be you have 50 books and is 150 centimeters tall. Qualitative data would be it is multi-color and has a smooth texture You may also enjoy.. Qualitative and Quantitative Data https://www.youtube.com/watch?v=2X-QSU6-hPU Quantitative Qualitative Song https://www.youtube.com/watch?v=-S2EiPD4-W0 -~-~~-~~~-~~-~- Please watch: "Study Skills Teacher's Secret Guide to your Best Grades" https://www.youtube.com/watch?v=f3bsg8gaSbw -~-~~-~~~-~~-~-
Views: 132213 MooMoo Math and Science
Qualitative Data Collection
 
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Table of Contents: 00:00 - Qualitative Data Collection & Sampling Strategies 00:36 - How might you collect data for a qualitative study? 03:10 - Qualitative Interviews 07:34 - Tips for constructing interview questions 09:29 - Constructing good qualitative interview questions 15:22 - Tips for conducting effective interviews 19:42 - Focus groups 24:32 - Observation 28:01 - Documents 30:17 - Purposive sampling in qualitative research
Views: 17965 Molly Ott
What is Triangulation (Qualitative research) ?
 
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Triangulation is a method used by qualitative researchers to check and establish validity in their studies by analysing a research question from multiple perspectives is to arrive at consistency across data sources or approaches, in fact, such inconsistencies should not be seen as weakening the evidence, but should be viewed as an opportunity to uncover deeper meaning in the data. Reference: http://www.nova.edu/ssss/QR/QR8-4/golafshani.pdf Reference: http://edis.ifas.ufl.edu/fy394 Reference: Patton, M. Q. (2002). Qualitative evaluation and research methods (3rd ed.). Thousand Oaks, CA: Sage Publications, Inc
Views: 100606 B2Bwhiteboard
What Does Coding Looks Like?: Qualitative Research Methods
 
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You may be told that you need to "code" some qualitative data like interview transcripts, photos, or audio clips, but what does coding look like? We give you the basics. See our other modules on many related topics at Mod-U: https://modu.ssri.duke.edu
Qualitative Data Analysis Overview.mp4
 
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Reviews and discusses a range of approaches to the analysis of qualitative research data.
Views: 2297 Ray Cooksey
Qualitative Data Analysis Using NVivo
 
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An Introduction into using NVivo for coding qualitative interview transcripts. Target: Beginners of both NVivo and qualitative data analysis.
R For Qualitative Analysis
 
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Introduction to R Tutorial to learn qualitative analysis package Word2Vec. Learn how to turn text into vectors and create a dendrogram and text map of your data. No prior coding experience necessary.
Views: 4731 Eren Kavvas
The Cycles of Coding: Qualitative Research Methods
 
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Coding is not something you do in a single pass. It is a process of going back to your data several times to find codes and patterns. We explain the basic procedure. See our other modules on many related topics at Mod-U: https://modu.ssri.duke.edu
Research Methodology : Qualitative Research (Content Analysis)
 
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This Lecture talks about Qualitative Research (Content Analysis)
Views: 17344 Cec Ugc
RQDA 1. Introduction of Qualitative Data Analysis with RQDA
 
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Learn basic level qualitative data analysis with RQDA. If you face difficulty in installing R and R studio watch following clip on youtube: https://youtu.be/aSGujXXLu-U
Views: 889 Atiq Rehman
Content Analysis Coding
 
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Views: 145365 Sam Cotton
Introduction to ATLAS.ti (qualitative data analysis software)
 
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Meet ATLAS.ti, the leading qualitative analysis software. Interconnect, manage and methodically analyze all your "soft" data (text, images, audio, video, PDF, geodata). Explore and "code" your digital knowledge, extract meaning, and create visual structures from information stored on your computer, on networks, or on the Web. Detailed information and free trial version from http://www.atlasti.com ATLAS.ti is the software of choice in all areas of research that rely on extracting and systematically analyzing information from mixed qualitative (i.e. non-numerical) data sources. For example: Sociology, psychology, economics, market research, criminology, public health, public adminstration, history, anthropology, literary studies, and many more.
Coding Part 2: Thematic coding
 
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Thematic coding is one of the most common forms of qualitative data analysis and it is found in grounded theory, several forms of phenomenological analysis and framework analysis. The analyst tries to identify themes, categories or classifications of the data. Passages of the data (commonly an interview transcript) are coded to the themes - that is the passages are tagged or marked with the name of the theme. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) http://creativecommons.org/licenses/by-nc-sa/4.0/
Views: 179879 Graham R Gibbs

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