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Group 4.1 Document Analysis
 
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-- Created using PowToon -- Free sign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Views: 999 Maarit Kekki
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: 145268 YaleUniversity
How to Analyze a Document
 
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This video introduces students to the process of analyzing several primary-source documents to answer DBQ-style case study questions like “Should the British Parliament repeal the Stamp Act?” or “Is Germany to blame for the start of World War I?” Students learn how to assess and connect quotations from multiple documents and use them as evidence in answering case study investigations about historical issues. If you want the whole experience, explore 42 content-rich case study analysis activities in Curriculum Pathways’ free Document Analysis Series for U.S. History (https://www.sascurriculumpathways.com/portal/#info/1767) , World History (https://www.sascurriculumpathways.com/portal/#info/1768) , and Civics & Economics (https://www.sascurriculumpathways.com/portal/#info/1769). Available at no cost, SAS® Curriculum Pathways® provides interactive, standards-based resources in the core disciplines (English language arts, mathematics, sci­ence, social studies, Spanish) for traditional, virtual, and home schools. SAS focuses on topics where doing, seeing, and listening provide information and encourage insights in ways conventional methods cannot. Visit https://www.sascurriculumpathways.com. Copyright © 2015 SAS Institute Inc., Cary, NC, USA, All Rights Reserved
Views: 11562 Curriculum Pathways
Document Analysis
 
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Views: 395 Lisa Glass
Documents in social research Part 1 of 2 on Documents and Diaries
 
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A lecture on documents in social research by Graham R Gibbs taken from a series on research methods and research design given to masters (graduate) students at the University of Huddersfield. This is part 1 of two, and looks at the use of documents as sources of data in social research. Documents can be treated as mediate data rather than proximate but are always the products of social processes. This means that issues of authenticity, credibility, representativeness and meaning need to be considered when they are used in social research.
Views: 3546 Graham R Gibbs
Content Analysis
 
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Let's go on a journey and learn how to perform a content analysis!
Views: 90507 ChrisFlipp
Document Analysis
 
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Chennai IIBA Chapter - Professional Development Day and Webinar onDocument Analysis by Venkadesh Narayanan, CBAP®, PMI-PBA® - July 30, 2015
Views: 3187 Chennai IIBA Chapter
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; *it surprises you; *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. 3.10. 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 This tutorial showed how to focus on segments in the transcripts and how to put codes together and create categories. However, it is important to remember that 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. Good luck with your study. Text and video (including audio) © Kent Löfgren, Sweden
Views: 665031 Kent Löfgren
Qualitative Analysis Using Microsoft Word (Part 1) by Philip Adu, PhD.
 
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This is about conducting manual coding using Microsoft Word. It focuses on discussing seven basic steps of conducting manual coding. Resource: https://www.slideshare.net/kontorphilip/conducting-manual-qualitative-analysis-using-word-document
Views: 3270 Philip Adu
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: 174780 Graham R Gibbs
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: 4317 Eren Kavvas
Thematic Analysis Process
 
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Views: 96750 ProfCTimm
Qualitative Data Analysis - Coding & Developing Themes
 
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This is a short practical guide to Qualitative Data Analysis
Views: 96761 James Woodall
Qualitative Content Analysis
 
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A quick example of how to conduct content analysis
Views: 7744 Robin Kay
Content Analysis Coding
 
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Views: 140478 Sam Cotton
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: 192180 Graham R Gibbs
Document analysis
 
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Views: 310 Casey Medlock
Sociology Research Methods: Crash Course Sociology #4
 
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Today we’re talking about how we actually DO sociology. Nicole explains the research method: form a question and a hypothesis, collect data, and analyze that data to contribute to our theories about society. Crash Course is made with Adobe Creative Cloud. Get a free trial here: https://www.adobe.com/creativecloud.html *** The Dress via Wired: https://www.wired.com/2015/02/science-one-agrees-color-dress/ Original: http://swiked.tumblr.com/post/112073818575/guys-please-help-me-is-this-dress-white-and *** Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse Thanks to the following Patrons for their generous monthly contributions that help keep Crash Course free for everyone forever: Mark, Les Aker, Robert Kunz, William McGraw, Jeffrey Thompson, Jason A Saslow, Rizwan Kassim, Eric Prestemon, Malcolm Callis, Steve Marshall, Advait Shinde, Rachel Bright, Kyle Anderson, Ian Dundore, Tim Curwick, Ken Penttinen, Caleb Weeks, Kathrin Janßen, Nathan Taylor, Yana Leonor, Andrei Krishkevich, Brian Thomas Gossett, Chris Peters, Kathy & Tim Philip, Mayumi Maeda, Eric Kitchen, SR Foxley, Justin Zingsheim, Andrea Bareis, Moritz Schmidt, Bader AlGhamdi, Jessica Wode, Daniel Baulig, Jirat -- Want to find Crash Course elsewhere on the internet? Facebook - http://www.facebook.com/YouTubeCrashCourse Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Views: 314526 CrashCourse
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: 15155 Molly Ott
Data Collection Methods
 
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This video was completed as part of a Masters project in DCU. It is the Introduction to a series of videos on Data Collection Methods
Views: 88618 Scott Crombie
Analysis of Qualitative Data
 
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This Video Presentation was submitted in our course requirement under Dr. Clarence Batan on SCL304 (Social Research Methods and Proposal Writing) AB Sociology, University of Santo Tomas. Jerome Matic, Erielle Esturas, Mary Anne Alviola and Joem Yap ABSTRACT: This video presentation provides information about qualitative data analysis. The following topics that is discussed throughout this paper are: 1) qualitative research and its main approaches, 2) coding process and qualitative data analysis, 3) matrices and networks, 4) and qualitative analysis of text documents. Definitions and terms are explained precisely and examples are given.
Views: 10427 Jerome Matic
Thematic analysis - an introduction
 
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Professor Virginia Braun and Dr Victoria Clarke provide an introduction to their popular approach to thematic analysis. Recorded at the University of the West of England in June 2018
Views: 9719 Victoria Clarke
Why Do We Code?: Qualitative Research Methods
 
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Coding can be a long process, so why is it the method used in qualitative research rather than something else. We give you the justification for writing up your qualitative research with codes and coding. See our other modules on many related topics at Mod-U: https://modu.ssri.duke.edu
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
Qualitative Data 3
 
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Views: 10586 ChrisFlipp
Case Study
 
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Let's go on a journey and learn how to conduct case studies!
Views: 294213 ChrisFlipp
Analysis of Qualitative Data-Lecture #10
 
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This presentation discusses strategies for coding qualitative data for the development of an action research case study.
Views: 8202 Doc Jay
Thematic Analysis and it's Phases in Qualitative Research (URDU)
 
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Have you just conducted a qualitative study involving… Interviews Focus Groups Observations Document or artifact analysis Journal notes or reflections? How to use this type of data? Just as there are numerous statistical tests to run for quantitative data, there are just as many options for qualitative data analysis… How we relate these 5 topics? Step-by-step guide for beginning qualitative researcher. THEMATIC APPROACH Most common forms of analysis in qualitative research It emphasizes Pinpointing, Examining, Recording Patterns (or "themes") within data. Themes are patterns across data sets that are important to the description of a phenomenon and are associated to a specific research question. Themes become categories for analysis Approach to Thematic Analysis 6 Phases of Coding (Thematic Analysis) 1-Familiarization with data 2-Generating initial codes 3-Searching for themes among codes 4-Reviewing themes 5-Defining and naming themes 6-Producing the final report
Views: 68 Nouman Riaz
A Practical Introduction to Content Analysis
 
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Statistics and Data Series presentation by Dr. Catherine Corrigall-Brown, Jan 23, 2013 at Western University: "A Practical Introduction to Content Analysis." The presentation outlined what content analysis is, discussing how contents are coded, and illustrated types of analyses that can be done with the technique. Dr. Corrigall-Brown also presented a few examples of studies done with content analysis. Slides for this presentation are online at the RDC website. The Statistics and Data Series is a partnership between the Centre for Population, Aging and Health and the Research Data Centre. This interdisciplinary series promotes the enhancement of skills in statistical techniques and use of quantitative data for empirical and interdisciplinary research. More information at http://rdc.uwo.ca
Views: 50346 Western University
ALLL Methodology: How to Document Your Qualitative Factors?
 
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Sageworks regularly hosts free webinars for the banking industry. To see a list of upcoming sessions and to access a library of archived sessions, go to www.sageworks.com. This webinar covers ALLL regulatory trends, what examiners expect out of the allowance, FAS 5 methodology, and specifically the qualitative factors for FAS 5 pools. The webinar also provides tips on how to better document qualitative factors and how to determine appropriate adjustments to the factors. For future Sageworks' webinars, visit: https://www.sageworksanalyst.com/resources.aspx
Views: 901 Sageworks
Thematic analysis
 
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Thematic analysis is the most common form of analysis in qualitative research. It emphasizes pinpointing, examining, and recording patterns within data. Themes are patterns across data sets that are important to the description of a phenomenon and are associated to a specific research question. The themes become the categories for analysis. Thematic analysis is performed through the process of coding in six phases to create established, meaningful patterns. These phases are: familiarization with data, generating initial codes, searching for themes among codes, reviewing themes, defining and naming themes, and producing the final report. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 14522 Audiopedia
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
C2: Secondary Qualitative Data
 
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A sociology screencast examining the use of secondary qualitative data (documents) in research for component two of the eduqas A level.
Views: 782 Steve Bassett
Constant Comparison Stop Motion Demo
 
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In this short film, our objective was to demonstrate the research method of "constant comparison" as is often found in Grounded Theory Method. We oversimplified the process somewhat in an effort to illustrate the main concept.
Views: 28374 researchjimminy
Why Go Qualitative?
 
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Recommended Citation: Tracy, S. J. [Get Your Qual On]. (2016, month day). Why Go Qualitative? [Video file]. Retrieved from https://youtu.be/dC1JLc42Yxw Hi everyone and if you’re new to my channel, I’m Dr. Sarah J Tracy, and what we do here is talk about tips, inspiration, stories, and best practices about all things qualitative research. It’s time to “Get Your Qual On”. Why go qualitative? Research methods are all about using a systematic approach to solve a problem, explain a phenomena or just tell a really important story. At the same time, methods are about art as much as they are about science. There are a whole variety of research methods out there. And, as any expert will tell you, some tools are better equipped for the project at hand than others. We’ve developed this YouTube station, “Get Your Qual On,” to focus specifically on the practice of qualitative research methods. Qualitative methods are those that focus on qualities in the world that are best understood holistically or contextually. Qualitative methods takes a variety and number of forms depending on the project at hand, and there’s a number of tools available in its toolkit. They could include things like interviewing, watching or participating with people and taking notes - something called ethnography, or when you focus on yourself auto-ethnography. It could also include analyzing documents, textual data, photographs, or social media. You could even do something like ask people to take pictures of their life at-hand and explain those to you - that’s something we call “photo-voice.” All these methods provide insights that are fundamentally different than quantitatively measuring [“how much” or “how frequently” using scaled surveys or numerically rating someone’s behavior.] So, what are some of the most valuable things about qualitative research? (1) First, it focuses on lived experience in context; what are people doing, and saying, verbally and also nonverbally? (2) It honors participants’ local meanings, their viewpoints, their stories, their points of view, rather than imposing an external researcher viewpoint. (3) Third, qualitative research preserves the chronological flow, documenting which events lead to which consequences, and explaining how or why that process unfolded in the way that it did. (4) Qualitative research can also make sense of a lot of disparate data - bits and pieces of life as lived, I mean that’s really how life hits us - and through a process called bricolage, which we will cover in another video, you can make a holistic story from those bits and pieces. (5) Qualitative research is also rich and holistic: it offers more than a snapshot, and it tells the story of the data in living color; and this is especially important because then the research can be easily accessible, not only to other researchers but to multiple other audiences - people like journalists, everyday citizens or policy-makers. (6) Qualitative research can also help illuminate, enhance, or explain quantitative data. In short qualitative research methods are appropriate and helpful for achieving a variety of goals—either on their own or in complement with other methods. (7) Finally, qualitative research is appropriate for a number of topics and disciplines, things like family relationships, governmental policy, workplace norms, politics, social justice, consumer behavior, or the arts -- really, qualitative research can be useful to anyone who wants to have the methods to solve a contextual problem, provide vivid explanation, or just tell an important story. For more information in formal text, see: Tracy, S. J. (2012). Qualitative research methods: Collecting evidence, crafting analysis, communicating impact. Hoboken, NJ: Wiley-Blackwell.
Views: 5168 Get Your Qual On
Coding Qualitative Data
 
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At the end of the module the learner will be expected to be able to: •Discuss the key assumptions of qualitative research and the measurement of empirical phenomena •Describe and evaluate a range of qualitative techniques suitable utilised in applied research •Evaluate the validity, reliability and ethical implications of specific qualitative research strategies •Select appropriate quantitative techniques for particular research questions This session has been developed through the Learning from WOeRK project at Plymouth University and seeks to support learning in the work place. For an overview of all related modules and resources please visit http://cpdoer.net/collections/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 2.0 UK: England & Wales License
Views: 72974 LearningFromWOeRK
Paradigms and Qualitative Perspectives Lecture #1
 
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This is the first presentation on qualitative and quantitative differences in research. A MUST SEE!!!
Views: 7701 Doc Jay
Content analysis
 
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Basic information about what a content analysis and how to do a content analysis.-- Created using PowToon -- Free sign up at http://www.powtoon.com/ . Make your own animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Views: 30287 Katie Harrington
Template analysis Part 1, Constructing the Template
 
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In ten sections here is a video interview with Prof. Nigel King about the qualitative data analysis method he has promoted and written about called Template Analysis. This is a form of thematic analysis where in order to analyse the data the researcher identifies or develops a number of themes or codes which summarise and join together some of the key ideas, actions, experiences and concepts from the data that is being analysed. Such themes, often called codes, are connected to sections of the text that exemplify them. The process of linking the title of a theme with a related chunk of text is called coding. In this interview, Nigel King describes the key stages of Template Analysis, how the themes are arranged into templates and how these templates are revised. In particular he discusses how these thematic ideas can be used to follow the development of your thinking about the data you are analysing and how they contribute to the final write-up of of your research. See: http://www2.hud.ac.uk/hhs/research/template_analysis/
Views: 9063 Graham R Gibbs
Documentary Research
 
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This video is about Untitled Project 1
Views: 59 Max Shorter
Mixed Methods Analysis with NVivo 11 for Windows
 
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Are you a researcher employing both qualitative and quantitative methods to investigate topics? NVivo includes tools that are designed to make mixed methods research more efficient. http://www.qsrinternational.com
Views: 7985 NVivo by QSR
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.
Jump Start Your Qualitative Study in HyperRESEARCH
 
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Several ways to quickly begin your coding and analysis for your qualitative study using HyperRESEARCH software for qualitative research.
Views: 2171 researchwarevideo

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