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: 152926 MooMoo Math and Science
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: 163599 YaleUniversity
Subscribe to Alanis Business Academy on YouTube for updates on the latest videos: https://www.youtube.com/alanisbusinessacademy?sub_confirmation=1 There are two general types of variables included in statistics: quantitative variables and qualitative variables. In this video we'll define each of these variables and provide examples. Go Premium for only $9.99 a year and access exclusive ad-free videos from Alanis Business Academy. Click here for a 14 day free trial: http://bit.ly/1Iervwb View additional videos from Alanis Business Academy and interact with us on our social media pages: YouTube Channel: http://bit.ly/1kkvZoO Website: http://bit.ly/1ccT2QA Facebook: http://on.fb.me/1cpuBhW Twitter: http://bit.ly/1bY2WFA Google+: http://bit.ly/1kX7s6P Listen to Alanis Business Academy on the go by downloading our new podcast: iTunes: http://bit.ly/1dwKyWi Stitcher: http://bit.ly/PvPjoa Tunein: http://bit.ly/1gLsDH4
Views: 30394 Alanis Business Academy
Get access to the full course: http://www.eduspred.com/courses/data-and-statistics-for-business-economics This lecture is a part of a 3 hours course: Data and Statistics (For Business and Economics) This course is designed for students and businesses who want to learn how to summarize data and communicate the results effectively. In this course, I will take you through the tabular and graphical methods that one can use to turn data into information using Microsoft Excel. There are no prerequisites required to take this course as I will start all the concepts from scratch. How is this course structured? First, I will take you through some basics of data - collection techniques and types. Then, I will discuss the tabular and graphical methods available to summarize the data (along with their working in excel) depending on what type of that we have. After covering these methods, I will tell you some tips that you should use while deciding which chart type to choose for summarizing your data. (Not every chart or graph is suitable for all kinds of data) Finally, we will end the course with some tips on how to get your audience's attention, how to make your data speak and some applications to solidify your learning. What are you going to get from this course? Understand the graphical and tabular methods available to summarize data Use MS Excel to summarize data Present your data in a manner so that your audience see what YOU want them to see Graph the data to visually communicate the results Click here to view the entire course: http://www.eduspred.com/courses/data-and-statistics-for-business-economics SUBSCRIBE at: https://www.youtube.com/channel/UCyBh3AjZct_2JriA--Eamug?sub_confirmation=1 Facebook : https://www.facebook.com/Eduspread-Now-Eduspredcom-1972581306301312/ Website : http://www.eduspred.com/
Views: 7037 Eduspred
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: 79099 Last moment tuitions
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: 140217 Key Differences
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: 725349 Kent Löfgren
Teachers taking action research free online course on WizIQ. Today's class recording is available: http://www.wiziq.com/online-class/2866384-ar-qualitative-and-quantitative-data-analysis My action research project on http://www.amazon.com/Students-Skills-Reading-Comprehension-Tests-ebook/dp/B006JS1MEK
Views: 3145 Nellie Deutsch - Ed.D
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: 38973 Methodology Related Presentations - TCSPP
This is a short practical guide to Qualitative Data Analysis
Views: 123329 James Woodall
Share,like, and SUBSCRIBE for more This a short explanatory videos that deals with research methods in applied inguistics. Qualitative vs Quantitaive and their combination ' mixed methods'. Statistical analysis, interpretive analysis.. experimental data collection vs non-experimental.. Quantitative research methodology. Qualitative research methodology. Mixed methods methodology. Experimental designs. Research methods. Quantitative vs Qualitative research Quantitative vs Qualitative research Quantitative vs Qualitative research Quantitative vs Qualitative research Quantitative vs Qualitative research Quantitative vs Qualitative research Quantitative vs Qualitative research Quantitative vs Qualitative research Subscribe a d check previous videos !!
Views: 2523 Applied Linguistics & English Language Teaching
Research in psychology can at times be confusing. Terms such as qualitative and quantitative can be challenging to understand. On this weeks episode of GetPsyched, we take a look at what qualitative and quantitative research is in psychology, what the limitations and strengths are of each and what the differences between qualitative and quantitative research are. ---------------------------------------------------------------------------------------------------------------- If you are enjoying the videos from GetPsyched, then make sure to subscribe to the channel and hit the bell next to the subscribe button to get notifications of when I upload new content every week! ---------------------------------------------------------------------------------------------------------------- You can support GetPsyched via Patreon, just click the link to find out how you can be a part of the GetPsyched community, gain access to loads of extra stuff and contribute to the development of GetPsyched - https://www.patreon.com/GetPsyched ---------------------------------------------------------------------------------------------------------------- Fill out my very short anonymous feedback form on GetPsyched to have your say on what you do and don't like and what you would like to see in the future - https://goo.gl/forms/j2lL8qfmcnMz7oF22 ---------------------------------------------------------------------------------------------------------------- Share this video - https://youtu.be/HCnNLJdYGK4 ---------------------------------------------------------------------------------------------------------------- Why not visit my website - frasersmithcounsellingpsy.com ---------------------------------------------------------------------------------------------------------------- You can also follow me on all of my social media channels here: Facebook - @GetPsychedOfficial - https://www.facebook.com/GetPsychedOfficial/ Twitter - @FSmithCPsy - https://twitter.com/FSmithCPsy Instagram - @fraser_smith_cpsy - https://www.instagram.com/fraser_smith_cpsy/ Linkedin - Fraser Smith -https://www.linkedin.com/in/fraser-smith-mbpss-1396447a/
Views: 1493 GetPsyched
An introduction to the subjects of Qualitative and Quantitative research. When organisations enter into strategic planning, they often conduct different types of relevant research and analyses enabling them to make informed, strategic decisions. Parts of this process might include conducting qualitative and/or quantitative research, which is what this video aims to explain and exemplify. This video is aimed at marketing management students.
Views: 71811 Tine Wade
Filmed at the Otaru University of Commerce Sapporo Satellite on May 16, 2012. Taught by Professor Shawn Clankie and assisted by Tatsuya Mima. It is very helpful to use James Neill's handout that can be found at http://wilderdom.com/research/QualitativeVersusQuantitativeResearch.html
Views: 111816 English Lecture
This Video Give The Basic Concept of Difference Between Qualitative And Quantitative Data (Urdu / Hindi) ? ZPZ Education Channel Link: www.youtube.com/channel/UCwFzeQDf9cGm_ZeTXV_t5SA
Views: 5227 ZPZ Education
This webinar provides an overview of basic quantitative analysis, including the types of variables and statistical tests commonly used by Student Affairs professionals. Specifically discussed are the basics of Chi-squared tests, t-tests, and ANOVAs, including how to read an SPSS output for each of these tests.
Views: 19688 CSSLOhioStateU
Subject:Sociology Paper: Methodology of research in sociology
Views: 378 Vidya-mitra
Completing data analysis on open-ended questions using Excel. For analyzing multiple responses to an open-ended question see Part 2: https://youtu.be/J_whxIVjNiY Note: Selecting "HD" in the video settings (click on the "gear" icon) makes it easier to view the data entries
Views: 164826 Jacqueline C
In this video tutorial, we'll show you how to import and analyze qualitative and quantitative survey data with MAXQDA 2018.
Views: 499 MAXQDA VERBI
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: 63010 Mod•U: Powerful Concepts in Social Science
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: 200167 Graham R Gibbs
This teaching video is aimed at students studying the Core Maths Level 3 Certificate. I teach AQA Mathematical Studies and so it is focused on that particular qualification, but many of the topics and concepts are the same. Check with your teacher if this topic is appropriate for the Core Maths course you are studying.
Views: 813 TLMaths
This screen cast demonstrates the use of Microsoft Excel to organize information for qualitative research.
Views: 41421 tamuwritingcenter
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: 74505 Graham R Gibbs
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: 75240 LearningFromWOeRK
-- 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: 2493 Fiona Bloomer
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: 377790 CrashCourse
In this video, Dr. Gaurav Bhalla discusses select tools and methods for conducting effective market research. Dr. Bhalla is a faculty member of the University of Maryland’s Master of Professional Studies in Technology Entrepreneurship. For more info, you can visit http://www.mte.umd.edu.