This Lecture talks about Qualitative Research (Content Analysis)
Views: 18082 cec
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: 172564 YaleUniversity
In this video, Jim Drisko, Smith College, USA, and Cesar Cisneros, Autonomous Metropolitan University, Mexico, engage in dialogue about content analysis. They ask what is content analysis? What is it for? How do researchers interpret results? How are content analysis, thematic analysis, and grounded theory related. Their discussion took place at Social Work Day 2018, at the International Congress of Qualitative Inquiry in Urbana, IL, USA.
Views: 46 Jane Gilgun
Grounded Theory is a Qualitative approach that let's theory emerge from data. This video is a conversation starter about Grounded Theory basics and shows some examples of axial coding. Coding, categories, and memoing. There a various types of Grounded Theory and two particular popular methods are highlighted.
Views: 54005 Diana Lizarraga
In this video, Dr Greg Martin provides an introduction to research methods, methedology and study design. Specifically he takes a look at qualitative and quantitative research methods including case control studies, cohort studies, observational research etc. Global health (and public health) is truly multidisciplinary and leans on epidemiology, health economics, health policy, statistics, ethics, demography.... the list goes on and on. This YouTube channel is here to provide you with some teaching and information on these topics. I've also posted some videos on how to find work in the global health space and how to raise money or get a grant for your projects. Please feel free to leave comments and questions - I'll respond to all of them (we'll, I'll try to at least). Feel free to make suggestions as to future content for the channel. SUPPORT: —————- This channel has a crowd-funding campaign (please support if you find these videos useful). Here is the link: http://bit.ly/GH_support OTHER USEFUL LINKS: ———————— Channel page: http://bit.ly/GH_channel Subscribe: http://bit.ly/GH_subscribe Google+: http://bit.ly/GH_Google Twitter: @drgregmartin Facebook: http://bit.ly/GH_facebook HERE ARE SOME PLAYLISTS ——————————————- Finding work in Global Health: http://bit.ly/GH_working Epidemiology: http://bit.ly/GH_epi Global Health Ethics: http://bit.ly/GH_ethics Global Health Facts: http://bit.ly/GH_facts WANT CAREER ADVICE? ———————————— You can book time with Dr Greg Martin via Google Helpouts to get advice about finding work in the global health space. Here is the link: http://bit.ly/GH_career -~-~~-~~~-~~-~- Please watch: "Know how interpret an epidemic curve?" https://www.youtube.com/watch?v=7SM4PN7Yg1s -~-~~-~~~-~~-~-
Views: 336092 Global Health with Greg Martin
This is a short practical guide to Qualitative Data Analysis
Views: 138945 James Woodall
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: 769424 Kent Löfgren
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.
Views: 78429 Mod•U: Powerful Concepts in Social Science
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: 407017 CrashCourse
Views: 47172 drjasonjcampbell
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)
Views: 44751 Methodology Related Presentations - TCSPP
If you are having troubles with your research paper, I might have a solution for you. My full course "Research Methods for Business Students" is available on Udemy. Here you can also submit YOUR questions to me and receive FEEDBACK ON YOUR PAPER! As you are my students, the course is only for 9.99 USD with following link: https://www.udemy.com/research-methods-for-business-students/?couponCode=RESEARCH_METHODS_1
Views: 79199 MeanThat
-- Created using PowToon -- Free sign up at http://www.powtoon.com/join -- 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: 9338 Lauren Watanabe
1. Descriptives: 1:32 2. T test: 2:52 3. Correlation: 4:41 4. Chi square: 5:39 5. Linear regression: 6:45 This video discusses the basic statistical analytical procedures that are required for a typical bachelor's thesis. Five stats are highlighted here: descriptives, T test, correlation, Chi square, and linear regression. For requirements on reporting stats, please refer to the appendix of your research module manuals -- Frans Swint and I wrote an instructional text on APA reporting of stats. There is no upper limit in terms of how advanced your stats should be in your bachelor's dissertation. This video covers the basic procedures and is not meant to replace the instructions of your own research supervisor. Please consult your own research advisor for specific questions regarding your data analyses. Please LIKE this video if you enjoyed it. Otherwise, there is a thumb-down button, too... :P ▶ Please SUBSCRIBE to see new videos (almost) every week! ◀ ▼MY OTHER CHANNEL (MUSIC AND PIANO TUTORIALS)▼ https://www.youtube.com/ranywayz ▼MY SOCIAL MEDIA PAGES▼ https://www.facebook.com/ranywayz https://nl.linkedin.com/in/ranywayz https://www.twitter.com/ranywayz Animations are made with Sparkol. Music files retrieved from YouTube Audio Library. All images used in this video are free stock images or are available in the public domain. The views expressed in this video are my own and do not necessarily reflect the organizations with which I am affiliated. #RanywayzRandom #SPSS #Research
Views: 8966 Ranywayz Random
Methods Fair 2012: Narrative analysis has gained increasing popularity within the social sciences since the 1990s. In this session we explore some of the fundamental principles behind narrative analysis and how the method has been applied within the social sciences. For more methods resources see: http://www.methods.manchester.ac.uk
Views: 17429 methodsMcr
Course Aims and Objectives This course introduces students to quantitative research methods. Students will be introduced to survey methodology and experimental research designs and analysis using quantitative data. The course aims to teach students research methods which will prepare them to undertake further independent research in the political and social sciences. It covers contemporary statistical methods and research techniques. By the end of the course students should be aware of a wide range of research resources and be able to perform quantitative analyses on a variety of data in an intelligent and thoughtful manner. Introduction to Content Analysis This video provides an introduction to content analysis, with an example of manifest and latent coding as applied to a research question and cultural archive (Playboy magazine covers). https://youtu.be/Lur6ArVKXAI Week 5: Content analysis R.P. Weber (1990) Basic Content Analysis. Newbury Park, CA: Sage. 2nd edition. Krippendorff, K. (1980) Content Analysis: An Introduction to its Methodology. Beverly Hills: Sage. Seale, C. (ed) (1998) Researching Society and Culture. London: Sage. Riffe, D., Lacy, S. & Fico, F. (1998) Analysing media messages: using quantitative content analysis in research. Mahwah, N.J.: Lawrence Erlbaum. *Dunleavy, P. & S. Weir with Subrahmanyam,. Sleaze in Britain: Media Influences, Public Response, and Constitutional Significance’, Parliamentary Affairs, vol. 48, pp. 602-616. Molitor, F. and Sapolsky, B.S. (1993) Sex, Violence, and Victimization in Slasher Films. Journal of Broadcasting and Electronic Media, vol. 37, no. 2, pp. 233-242 [University of London library] Siebert, D. and Drolet, J.C. (1993) ‘Death Themes in Literature for Children Ages 3-8’, Journal of School Health, vol. 63, no. 2, pp.86-90 [Goldsmiths College] Lasswell, H. (1942) Analysing the content of mass communication: a brief introduction. Washington: Library of Congress Althaus, S., Edy, J. and Phalen, P. (2001) Using substitutes for full-text news stories in content analysis: which text is best. American Journal of Political Science. Vol 45(3), 707- 724. Week 7: Introduction to data analysis: descriptive statistics Descriptive Statistics Black, T. (2002). Understanding Social Science Research. London: Sage. Chapter 6 Pennings, P., Keman, H. & Kleinnijenhuis, J. (1999). Doing Research in Political Science. London: Sage. Chapter 5. Owen, F. & Jones, R. (1994). Statistics. London: Pitman. Allison, P. (2001). Missing Data. London: Sage. Lewis-Beck, M. (1995). Data Analysis: An Introduction. London: Sage. My subscribers are awesome - you're awesome too so you should subscribe as well! Join my monthly seminar by supporting me on Patreon https://www.patreon.com/drkmwinters My YouTube Facebook page Kristi Winters https://www.facebook.com/youtubedrkmwinters/ Follow me on Twitter too! https://twitter.com/KWintie
Views: 1202 Kristi Winters
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: 103670 Last moment tuitions
Hereby this is from our video's about content analysis for final exam semester 5. we would like to introduce our group member : 1. Chaerani Agustin / 009201600017 2. Rifqi Syahfiar Rifaldi / 009201600044 3. Ni Putu Eka Budi Pradnya Wulandari Dewi / 009201600047 Crew : 1. Scriptwritter : Chaerani Agustin & Ni Putu Eka Budi Pradnya Wulandari Dewi 2. Camera Person : Chaerani Agustin, Rifqi Syahfiar Rifaldi, Ni Putu Eka Budi Pradnya Wulandari Dewi. 3. Camera Person Assistent : Kenny Aristo H. 4. Editor : Chaerani Agustin finally, we would like to say thank you for sir.Eric as a lecturer Quantitative Research Design subject. Final Exam Content Analysis Project. PUBLIC RELATION 2016 PRESIDENT UNIVERSITY Cikarang, Jababeka
Views: 16 Chaerani Agustin
Copy of None-- 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: 27588 Sherry Cuku
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 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 1. Patton M. Qualitative Research and Evaluation Methods, 3rd edition. Sage Publishers; 2002. Curry L, Nembhard I, Bradley E. Qualitative and mixed methods provide unique contributions to outcomes research. Circulation, 2009;119:1442-1452. Crabtree, B. & Miller, W. (1999). Doing qualitative research, 2nd edition. Newbury Park, CA:Sage. Schensul S, Schensul J. and Lecompte M. 2012 Initiating Ethnographic research: A mixed Methods Approach, Altamira press. 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: 228204 YaleUniversity
Views: 10628 EXAM TIPS
This video is a one-hour lecture that Roberta E. Goldman, PHD delivered as part of the Harvard Catalyst lecture series in 2011. The lecture presents an overview of qualitative research methods that can be used in combination with each other, and in combination with quantitative methods for mixed methods primary care and public health study designs.
Views: 26503 Brown University
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 3. Britten N. Qualitative research: Qualitative interviews and medical research. British Medical Journal 1995;311:251-253. 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: 92376 YaleUniversity
Guest Lecturer: En. Lai Che Ching @ Abd. Latif Coordinator: Prof. Dr. Fong Soon Fook Faculty of Humanities, Arts & Heritage Universiti Malaysia Sabah http://www.ums.edu.my http://www.ums.edu.my/fksw © 2017 by Communication Programme, Faculty of Humanities, Arts & Heritage, Universiti Malaysia Sabah is made available under a Creative Commons Attribution-Non Commercial 4.0 Licence (international): http://creativecommons.org/licences/by-nc/4.0.
Views: 499 FONG SOON FOOK
A lecture on coding and data entry in quantitative research by Graham R Gibbs taken from a series on quantitative data analysis and statistics given to undergraduate students at the University of Huddersfield. This is part 2 of 3 and examines how to deal with questions with more than one answer and questions with open-ended answers. Credits: Music: Kölderen Polka by Tres Tristes Tangos is licensed under an Attribution-ShareAlike 3.0 International License. http://freemusicarchive.org/music/Tres_Tristes_Tangos/ Image: Ice-ferns by Schnobby, Wikimedia Commons, licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
Views: 75795 Graham R Gibbs