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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: 178400 YaleUniversity
Forecasting 2: Forecasting Types & Qualitative methods
 
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Mechanical Engineering Video lectures for GATE/IES/IAS and PSUs follow us at http://iesgeneralstudies.com/ or http://gatemech.com/forum/
Choosing which statistical test to use - statistics help.
 
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Seven different statistical tests and a process by which you can decide which to use. The tests are: Test for a mean, test for a proportion, difference of proportions, difference of two means - independent samples, difference of two means - paired, chi-squared test for independence and regression. This video draws together videos about Helen, her brother, Luke and the choconutties. There is a sequel to give more practice choosing and illustrations of the different types of test with hypotheses.
Views: 812989 Dr Nic's Maths and Stats
Sampling: Simple Random, Convenience, systematic, cluster, stratified - Statistics Help
 
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This video describes five common methods of sampling in data collection. Each has a helpful diagrammatic representation. You might like to read my blog: https://creativemaths.net/blog/
Views: 814419 Dr Nic's Maths and Stats
Research Methods - Introduction
 
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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 -~-~~-~~~-~~-~-
Types of Sampling Methods (4.1)
 
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Get access to practice questions, written summaries, and homework help on our website! http://wwww.simplelearningpro.com Follow us on Instagram http://www.instagram.com/simplelearningpro Like us on Facebook http://www.facebook.com/simplelearningpro Follow us on Twitter http://www.twitter.com/simplelearningp If you found this video helpful, please subscribe, share it with your friends and give this video a thumbs up!
Views: 336946 Simple Learning Pro
7 Types of Income Millionaires Earn
 
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In this video, we will discuss the 7 types of income that people use to build wealth. As we have seen in the past, being solely reliant on one source of income can prove to be a mistake. Some of the sources are passive income, while others are active methods for increasing income. Follow me on Instagram ➤➤➤ https://www.instagram.com/nateobrienn/ Get 2.40% Interest on this savings account: https://bit.ly/2KxY0Qj 💰 Invest for FREE with M1 Finance: https://mbsy.co/q2MDL Robinhood Investing App: https://bit.ly/2UEebQn Read these investing books: The Intelligent Investor: https://amzn.to/2GKSQfH Technical Analysis For Dummies: https://amzn.to/2PyqaJr One Up on Wall Street: https://amzn.to/2GIr3wg A Random Walk Down Wall Street: https://amzn.to/2IZ9cCQ Security Analysis: https://amzn.to/2PxHdeS Listen to two audio books for FREE by signing up for an Amazon Audible 30 day free trial!!➤➤➤ http://amzn.to/2DAuty0 Net Worth Tracker (Free): https://mailchi.mp/0b1fcac705c5/networth Call me to learn how to grow a YouTube channel: https://clarity.fm/nateobrien Subscribe for more videos like this: https://www.youtube.com/nateobrien?sub_confirmation=1 Want to grow your business? Check out Santrel Media’s YouTube Channel ➤➤➤https://www.youtube.com/santrelmedia DISCLOSURE: Some of the links on this page are affiliate links, meaning, at no additional cost to you, I may earn a commission if you click through and make a purchase and/or subscribe. Affiliate commissions help fund videos like this one. I am not a financial advisor. The ideas presented in this video are personal opinions and for entertainment purposes only. You (and only you) are responsible for the financial decisions that you make.
Views: 4026 Nate O'Brien
What Techniques Do Business Analysts Use?
 
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This KnowledgeKnugget™ (KK) is part of an eCourse "Business Analysis Defined". VIEW COURSE OUTLINE at http://businessanalysisexperts.com/product/video-course-business-analysis-defined/. Also available as Paperback or Kindle eBook at http://www.amazon.com/dp/B00K7MM50O/. DESCRIPTION: Although the field of IT Business Analysis offers great career opportunities for those seeking employment, some business analysis skills are essential for any adult in the business world today. For example, the task of defining the requirements for an IT solution is handed to Business Analysts as well as Subject Matter Experts, Developers, System Analysts, Product Owners, Project Managers, Line Managers, or any other business expert. Applying business analysis techniques to define their business needs results in much higher chances for a successful IT project. In this KnowledgeKnugget™ you will learn what business analysis techniques and tools are most commonly used around the world based on surveys of actual business analysts. This KnowledgeKnugget™ answers questions like: 1. What are the primary activities in business analysis? 2. What tools or techniques do they use? To view more IT requirements training, visit the Business Analysis Learning Store at http://businessanalysisexperts.com/business-analysis-training-store/. PARTIAL TRANSCRIPT: Business analysis is the process of studying a business or any other organization to identify business opportunities / problem areas and suggest potential solutions. A wide range of people with various titles, roles and responsibilities actually apply business analysis techniques within an organization. There are three fundamentally different flavors or levels of business analysis: 1. Strategic Business Analysis (aka Enterprise Analysis) (http://businessanalysisexperts.com/strategic-business-analysis/ ) 2. Tactical Business Analysis (http://businessanalysisexperts.com/tactical-business-analysis/) 3. Operational Business Analysis (http://businessanalysisexperts.com/operational-business-analysis/Operational Business Analysis) Strategic Business Analysis is the study of business visions, goals, objectives, and strategies of an organization or an organizational unit to identify the desired future. It encompasses the analysis of existing organizational structure, policies, politics, problems, opportunities, and application architecture to build a business case for change. This analysis employs business analysis techniques such as Variance Analysis, Feasibility Analysis, Force Field Analysis, Decision Analysis, and Key Performance Indicators to support senior management in the decision-making process. The primary outcome of this work is a set of defined, prioritized projects and initiatives that the organization will undertake to create the desired future. If the initiative includes the development of software using an Agile Software Development Methodology (SDM) (http://businessanalysisexperts.com/product/business-analysis-agile-methodologies/), strategic business analysis techniques identify themes and/or epics, and initiate a product backlog. Tactical Business Analysis is at the project or initiative level to flush out the details of the proposed solution and to ensure that it meets the needs of the business community. Commonly used business analysis techniques at this level include Stakeholder Identification (http://businessanalysisexperts.com/product/how-to-identify-stakeholders-it-projects/), Interviewing (http://businessanalysisexperts.com/product/requirements-elicitation-gathering-business-stakeholder-it-requirements/), Facilitation (http://businessanalysisexperts.com/product/how-to-facilitate-requirements-gathering-workshops/), Baselining, Coverage Matrices, MoSCoW Analysis (http://businessanalysisexperts.com/product/requirements-prioritization-two-simple-techniques/), Benchmarking, Business Rules Analysis, Change Management, Process and Data Modeling (http://businessanalysisexperts.com/product/business-data-modeling-informational-requirements/), and Functional Decomposition (http://businessanalysisexperts.com/product/video-course-exposing-functional-and-non-functional-requirements/). In an Agile environment, Tactical Business Analysis adds to the Product Backlog and/or Release Plans expressed in Themes, Business Epics, Architecture Epics, User Stories (http://businessanalysisexperts.com/product/video-course-writing-user-stories/), and User Story Epics. In a traditional setting, the primary outcome of Tactical Business Analysis is a set of textual and/or modeled Business and Stakeholder Requirements (http://businessanalysisexperts.com/product/video-course-writing-requirements/). ..........
Views: 312399 BA-EXPERTS
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: 795508 Kent Löfgren
Ontology, Epistemology, Methodology and Methods in Research Simplified!
 
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When you are just starting to learn about research it helps to have simple definitions of Ontology, Epistemology, Methodology and Methods in Research! More videos: https://www.youtube.com/playlist?list=PLs4oKIDq23AdTCF0xKCiARJaBaSrwP5P2 http://youstudynursing.com/ Research eBook on Amazon: http://amzn.to/1hB2eBd Check out the links below and SUBSCRIBE for more youtube.com/user/NurseKillam For help with Research - Get my eBook "Research terminology simplified: Paradigms, axiology, ontology, epistemology and methodology" here: http://www.amazon.com/dp/B00GLH8R9C Related Videos: https://www.youtube.com/playlist?list=PLs4oKIDq23AdTCF0xKCiARJaBaSrwP5P2 Connect with me on Facebook Page: https://www.facebook.com/youstudynursing https://www.facebook.com/NursesDeservePraise Twitter: @NurseKillam https://twitter.com/NurseKillam Facebook: https://www.facebook.com/laura.killam LinkedIn: http://ca.linkedin.com/in/laurakillam
Views: 246056 NurseKillam
BDA 2 6 Types of Data and Analysis Methods
 
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Based upon the type of data there are certain types of analysis that can be applied. Learn which ones where.
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: 427865 CrashCourse
Epidemiological Studies - made easy!
 
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This video gives a simple overview of the most common types of epidemiological studies, their advantages and disadvantages. These include ecological, case-series, case control, cohort and interventional studies. It also looks at systematic reviews and meta-analysis. This video was created by Ranil Appuhamy Voiceover - James Clark -------------------------------------------------------------------------------------------------------- Disclaimer: These videos are provided for educational purposes only. Users should not rely solely on the information contained within these videos and is not intended to be a substitute for advice from other relevant sources. The author/s do not warrant or represent that the information contained in the videos are accurate, current or complete and do not accept any legal liability or responsibility for any loss, damages, costs or expenses incurred by the use of, or reliance on, or interpretation of, the information contained in the videos.
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: 806247 ChrisFlipp
Choosing a Statistical Test
 
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In common health care research, some hypothesis tests are more common than others. How do you decide, between the common tests, which one is the right one for your research? Thank you to the Statistical Learning Center for their excellent video on the same topic. https://www.youtube.com/rulIUAN0U3w
Views: 413044 Erich Goldstein
Introduction To Clustering Techniques | Different Types Of Clustering Methods | Data Science -ExcelR
 
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ExcelR: In this video, we will learn about types of clustering: Hierarchical clustering: Also known as 'nesting clustering' as it also clusters to exist within bigger clusters to form a tree. Partition clustering: It's simply a division of the set of data objects into non-overlapping clusters such that each object is in exactly one subset. Things you will learn in this video 1)Different types of data for clustering 2)What is clustering segmentation? 3)What is Hierarchical clustering methods? 4)K-means clustering method 5)K-medoids clustering method 6)K-modes clustering method 7)Kernel K-means clustering method 8)K-prototype method 9)Manhattan distance To buy eLearning course on Data Science click here https://goo.gl/oMiQMw To register for classroom training click here https://goo.gl/UyU2ve To Enroll for virtual online training click here " https://goo.gl/JTkWXo" SUBSCRIBE HERE for more updates: https://goo.gl/WKNNPx For K-Means Clustering Tutorial click here https://goo.gl/PYqXRJ For Introduction to Clustering click here Introduction to Clustering | Cluster Analysis #ExcelRSolutions #Hierarchicalclustering#Differenttypesofclusterings#ClusterAnalytics #DataSciencetutorial #DataScienceforbeginners #DataScienceTraining ----- For More Information: Toll Free (IND) : 1800 212 2120 | +91 80080 09706 Malaysia: 60 11 3799 1378 USA: 001-844-392-3571 UK: 0044 203 514 6638 AUS: 006 128 520-3240 Email: [email protected] Web: www.excelr.com Connect with us: Facebook: https://www.facebook.com/ExcelR/ LinkedIn: https://www.linkedin.com/company/exce... Twitter: https://twitter.com/ExcelrS G+: https://plus.google.com/+ExcelRSolutions
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)
Big Data Analysis - tools and methods
 
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A five-day summer course for working professionals. The course will bring you in the forefront of the newest tools and methods based on cutting edge research and experience. Big Data is omnipresent from industries to government and is frequently considered a completely new approach to problem solving. While the possibilities are often exaggerated, Big Data does indeed introduce new opportunities and challenges. Link: http://copenhagensummeruniversity.ku.dk/
Types of instrumental methods
 
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Subject:Analytical Chemistry/Instrumentation Paper: Fundamentals of Analytical Chemistry
Views: 861 Vidya-mitra
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: 223395 Key Differences
Research Methodology (Part 2 of 3): 14 Types of Research Methods - Where to Apply?
 
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Dr. Manishika Jain in this lecture explains the 14 major types of research methods: Basic versus Applied Research Fixed versus Flexible Research Quantitative versus Qualitative Research Experimental versus Non-Experimental Research Causal or Explanatory Research Confirmatory versus exploratory Research Descriptive Research Historical Research Diagnostic Research Prognostic Research Evaluation Research Action Research Ex-post Facto or Casual Comparative Research Correlational Research For IAS Psychology postal Course refer - http://www.examrace.com/IAS/IAS-FlexiPrep-Program/Postal-Courses/Examrace-IAS-Psychology-Series.htm Research Methodology playlist - https://www.youtube.com/playlist?list=PLW9kB_HKs3_N4-55qIi36fwdW2UaySm9Y Framework @0:12 Basic versus Applied @3:24 Fixed versus Flexible @5:19 Quantitative vs. Qualitative @6:04 Experimental vs. Non – Experimental @8:08 Exploratory vs. Confirmatory Research @10:09 Explanatory or Casual Research @12:11 Descriptive Research @13:51 Historical Research @16:24 Ex-post Factor or Casual – Comparative Research @17:56 Correlational Research @19:59 Evaluation Research @21:11 Formative vs. Summative Evaluation @22:39 Diagnostic Research @24:58 Prognostic Research @25:32 Action Research @26:11 Types of Research Problems Addressed @28:03 Research Design @30:09 Research Methodology @30:22 #Longitudinal #Posteriori #Experimental #Questionnaire #Quantitative #Descriptive #Manipulate #Fundamental #Flexible #Methodological #Manishika #Examrace different types of research methods pdf types of research ppt types of research pdf types of research methods qualitative and quantitative what are the 3 types of research types of research methods in psychology classification of research types of research based on purpose
Views: 308932 Examrace
Types of Data: Nominal, Ordinal, Interval/Ratio - Statistics Help
 
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The kind of graph and analysis we can do with specific data is related to the type of data it is. In this video we explain the different levels of data, with examples. Subtitles in English and Spanish.
Views: 960393 Dr Nic's Maths and Stats
Learn Basic statistics for Business Analytics
 
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Business Analytics and Data Science are almost same concept. For both we need to learn Statistics. In this video I tried to create value on most used statistical methods for Data Science or Business Analytics for Statistical model Building. Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data. In applying statistics any can handle a scientific, industrial, or societal problem. I value your time and effort that is why I have capture almost 20 statically concept in this video. Learn Basic statistics for Business Analytics Here I have capture how to learn Mean, how to learn Mode, How to learn median, Concept of Sleekness, Concept of Kurtosis, learn Variables, concept of Standard deviation, Concept of Covariance, Concept of correlation, Concept of regression, How to read regression formula, how to read regression graph, Concept of Intercept, Concept of slope coefficient, Concept of Random Error, Different types of regression Analysis, Concept ANOVA (Analysis of Variance), How to read ANOVA table, How to learn R square (Interpreted R square), Concept of Adjusted R Square, Concept of F test, Concept of Information Value, Concept of WOE, Concept of Variable inflation Factors. Learn Basic statistics for Business Analytics By this video you can Start Learn statistics for Data Science and Business analytics easily and effectively. These statistics are useful when at the time of running linear regression, Logistic regression statistics models. For Statistical Data Exploration you may need to see Meager of central tendency and Data Spread in Statistics. By Understanding Mean, Mode, Median, Sleekness, Kurtosis, Variance, Standard deviation. Learn Basic statistics for Business Analytics To understand statistical relationship between variables you can use Covariance, Correlation coefficient, Regression , ANOVA (Analysis of Variance) . Learn Basic statistics for Business Analytics To understand Strength of stastical relationship between variables you can use R square, Adjusted R square, F test. If you want to understand variable importance in your stastical model you can use Information value (IV) and Weight of evidence (WOE) Concept. Information value and Weight of evidence mostly used in Logistic Regression Analysis. Learn Basic statistics for Business Analytics Variable inflation factors (VIF) is used for understanding, It is the stastical method to understand variable importance. What is the importance of this variable statically in the Regression model? By VIF we check Correlation between variable. Learn Basic statistics for Business Analytics At last I have explained when to use ANOVA, When to Use Linear regression and when to use Logistic regression. Learn Basic statistics for Business Analytics Thank you So much for watching this video, Hope I can add some value in your Journey as a Statistician, Business Analytics professional and Data Scientist professional. Blogger : http://koustav.analyticsanalysis.busi... google plus: https://plus.google.com/u/0/115750715 facebook link: https://www.facebook.com/koustav.biswas.31945?ref=bookmarks website: https://www.analyticsanalysisbusiness.com
Analysing Questionnaires
 
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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/
Some statistics tests, t-test, z-test, f-test and chi square test- A theoritical aspect
 
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( Correction - Pen was assumed name instead of auther) T-test, Z-test, F-yest, Chi square test. For different competitive exams Keep watching chanakya group of economics.
3.7 Research Strategy: Case Study
 
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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: 83663 MeanThat
How to Use SPSS: Choosing the Appropriate Statistical Test
 
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A step-by-step approach for choosing an appropriate statistcal test for data analysis.
Quantitative Research Designs: Descriptive non-experimental, Quasi-experimental or Experimental?
 
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http://youstudynursing.com/ Get my research terminology eBook on Amazon: http://amzn.to/1hB2eBd Students often have difficulty classifying quantitative research designs. In quantitative research, designs can be classified into one of three categories: descriptive non-experimental, quasi-experimental or experimental. To identify which of these designs your study is using follow the steps in this video. Check out the links below and SUBSCRIBE for more youtube.com/user/NurseKillam **The PDF version of my book is better and is being approved by Google Play right now. For help with Research - Get my eBook "Research terminology simplified: Paradigms, axiology, ontology, epistemology and methodology" here: http://books.google.ca/books/about/Research_terminology_simplified.html?id=tLMRAgAAQBAJ&redir_esc=y Related Videos: http://www.youtube.com/watch?v=UA0-RMPi7qE&feature=share&list=PLs4oKIDq23AdTCF0xKCiARJaBaSrwP5P2 Connect with me on Facebook Page: https://www.facebook.com/NursesDeservePraise Twitter: @NurseKillam https://twitter.com/NurseKillam Facebook: https://www.facebook.com/laura.killam LinkedIn: http://ca.linkedin.com/in/laurakillam Students often have difficulty classifying quantitative research designs. In quantitative research, designs can be classified into one of three categories: descriptive non-experimental, quasi-experimental or experimental. To identify which of these designs your study is using follow the steps in this video. First, ask yourself if the researchers did anything to the participants. More specifically, was there an intervention? ...If the answer is yes, there was an intervention, then the study is either a quasi-experimental or experimental. I will tell you how to decide in a moment. If the answer is no, the study is descriptive non-experimental. Sure, you could be more specific in the description of the design, but for the purposes of grouping your research in a literature review this label is often sufficient at an undergraduate level. Descriptive non-experimental studies may also be called observational. Some examples of more specific labels include case control, cohort and correlational studies. ... To find out if the design is experimental ask yourself if it is a randomized controlled trial. Randomized controlled trials are considered the gold standard or "best" possible design (in quantitative research). You may also hear randomized controlled trails referred to as true experiments. However, in the real world it is difficult to conduct a true randomized controlled trial in many situations, which means that a lot of studies are done that are not classified as randomized controlled trials. Randomized control trials have three key components: a random sample, a control group and an intervention. If your study is truly a randomized control trial it should say in the abstract and/or the methods section of the article. If it doesn't say then it is likely that the study is either descriptive non-experimental or quasi-experimental. You can tell the difference by looking into the methods section further. ...If there is no control group than the study is quasi-experimental. A control group is a group of people that enter the study but do not receive the intervention under study. Instead, they are used for the purpose of comparison. If the sample was not randomized properly or adequately or even at all then the study is also quasi-experimental. You may also see this type of study being called a non-randomized trial. ... Sometimes I see students that are confused about the study design because of terms that relate to the length of time the study was conducted or the sampling process. ... Terms like cross-sectional and longitudinal tell you how much time the study was conducted over. Cross sectional means that data were collected at one point in time. Longitudinal means that data were collected over a long period of time. These terms alone will not tell you if the study is descriptive non-experimental, quasi-experimental or experimental. If you use these words to describe your study design in the absence of one of the labels we discussed in this video you will not have given your teacher enough information about the study design to properly classify it. Other confusing terms often relate to the way samples were collected, like convenience sampling. Convenience sampling means that the sample was readily available or accessible to the researchers. This term will give you the hint that the study does not have a random sample and is therefore not a randomized controlled trial, but you still need to classify it further as descriptive non-experimental or quasi-experimental. To decide how to classify the design of a study you are looking at, follow the steps outlined in this video. Ask yourself the following three questions: Was there an intervention? Is there a control group? Was the sample random? ...
Views: 218904 NurseKillam
Excel 2013 Statistical Analysis #01: Using Excel Efficiently For Statistical Analysis (100 Examples)
 
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Download File: https://people.highline.edu/mgirvin/AllClasses/210Excel2013/Ch00/Excel2013StatisticsChapter00.xlsx Intro To Excel: Store Raw Data, Data Types, Data Analysis, Formulas, PivotTables, Charts, Keyboards, Number Formatting, Data Analysis & More: (00:08) Introduction to class (00:49) Cells, Worksheets, Workbooks, File Names (02:54) Navigating Worksheets & Workbook (03:58) Navigation Keys (04:15) Keyboard move Active Sheet (05:40) Ribbon Tabs (06:25) Add buttons to Quick Access Tool Bar (07:40) What Excel does: Store Raw Data, Make Calculations, Data Analysis & Charting (08:55) Introduction to Data Analysis (10:37) Data Types in Excel: Text, Numbers, Boolean, Errors, Empty Cells (11:16) Keyboard Enter puts content in cell and move selected cell down (13:00) Data Type DEFAULT Alignments (13:11) First Formula. Entering Cell References in formulas (13:35) Keyboard Ctrl + Enter puts content in cell & keep cell selected (14:45) Why we don’t override DEFAULT Alignments (15:05) Keyboard Ctrl + Z is Undo (17:05) Proper Data Sets & Raw Data (24:21) How To Enter Data & Data Labels (24:21) Stylistic Formatting (26:35) AVERAGE Function (27:31) Format Formulas Differently than Raw Data (28:30) Keyboard Ctrl + C is Copy. Keyboard Ctrl + V is Paste (29:59) Use Eraser remove Formatting Only (29:19) Keyboard Ctrl + B adds Bold (29:57) Excel’s Golden Rule (31:43) Keyboard F2 puts cell in Edit Mode (32:01) Violating Excel’s Golden Rule (34:12) Arrow Keys to put cell references in formulas (35:40) Full Discussion about Formulas & Formulas Elements (37:22) SUM function Keyboard is Alt + = (38:22) Aggregate functions (38:50) Why we use ranges in functions (40:56) COUNT & COUNTA functions (42:47) Edit Formula & change cell references (44:18) Absolute & Relative Cell References (45:52) Use Delete Key, Not Right-click Delete (46:40) Fill Handle & Angry Rabbit to copy formula (47:41) Keyboard F4 Locks Cell Reference (make Absolute) (49:45) Keyboard Tab puts content in Cell and move selected Cell to right (50:55) Order of Operation error (52:17) Range Finder to find formula errors (52:34) Lock Cell Reference after you put cell in Edit Mode (53:58) Quickly copy an edited formula down a column (53:07) F2 key in last cell to find formula errors (54:15) Fix incorrect range in function (54:55) SQRT function & Fractional Exponents (57:20) STDEV.P function (58:10) Navigate Large Data Sets (58:48) Keyboard Ctrl + Arrow jumps to bottom of data set (59:42) Keyboard Ctrl + Shift + Arrow selects to bottom of data set (Current Range) (01:01:41) Keyboard Shift + Enter puts content in Cell and move selected Cell up (01:02:55) Counting with conditions or criteria: COUNTIFS function (01:03:43) Keyboard Ctrl + Backspace jumps back to Active Cell (01:05:31) Counting between an upper & lower limit with COUNTIFS (01:07:36) COUNTIFS copied down column (01:10:08) Joining Comparative Operator with Cell Reference in formula (01:12:50) Data Analysis features in Excel (01:13:44) Sorting (01:16:59) Filtering (01:20:39) Introduction to PivotTables (01:23:39) Create PivotTable dialog box (01:24:33) Dragging & dropping Fields to create PivotTable (01:25:31) Dragging Field to Row area creates a Unique List (01:26:17) Outline/Tabular Layout (01:27:00) Value Field Settings dialog to change: Number Formatting, Function, Name (01:28:12) 2nd & 3rd PivotTable examples (01:31:23) What is a Cross Tabulated Report? (01:33:04) Create Cross Tabulated Report w PivotTable (01:35:05) Show PivotTable Field List (01:36:48) How to Pivot the Report (01:37:50) Summarize Survey Data with PivotTable. (01:38:34) Keyboard Alt, N, V opens PivotTable dialog box (01:41:38) PivotTable with 3 calculations: COUNT, MAX & MIN (01:43:25) Count & Count Number calculations in a PivotTable (01:45:30) Excel 2013 Charts to Visually Articulate Quantitative Data (01:47:00) #1 Rule for Charts: No Chart Junk! (01:47:30) Explain chart types: Column, Bar, Pie, Line and X-Y Scatter Chart (01:51:34) Create Column Chart using Recommended Chart feature (01:53:00) Remove Field Buttons from Pivot Chart (01:54:10) Chart Formatting Task Pane (01:54:45) Vary Fill Color by point (01:55:15) Format Axis with Numbers by Formatting Source Data in PivotTable (01:56:02) Add Data Labels to Chart (01:57:28) Copy Chart & Create Bar Chart (01:57:48) Change Chart Type (01:58:15) Change Gap Width. (01:59:17) Create Pie Chart (01:59:23) Do NOT use 3-D Pie (01:59:42) Add % Data Labels to Pie Chart (02:00:25) Create Line Chart From PivotTable (02:01:20) Link Chart Tile to Cell (02:02:20) Move a Chart (02:02:33) Create an X-Y Scatter Chart (02:03:35) Add Axis Labels (02:05:27) Number Formatting to help save time (02:07:24) Number Formatting is a Façade (02:10:27) General Number Format (02:10:52) Percentage Number Formatting (02:14:03) Don’t Multiply Relative Frequency by 100 (02:17:27) Formula for % Change & End Amount
Views: 439719 ExcelIsFun
Mod-05 Lec-25 L25-Types of Machine Foundations, Methods of Analysis
 
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Soil Dynamics by Dr. Deepankar Choudhury, Department of Civil Engineering, IIT Bombay. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 20134 nptelhrd
Fundamentals of Qualitative Research Methods: What is Qualitative Research (Module 1)
 
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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 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: 238133 YaleUniversity
Qualitative Data Analysis: OII MSc Methods Option Course
 
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Analysis of qualitative data gathered during the course of social research about the Internet requires both a set of specialized skills and an understanding of the philosophical underpinnings of qualitative approaches to social research. This methods option course for the OII MSc in “Social Science of the Internet” is designed to provide students with the knowledge and skills to carry out qualitative data analysis of a variety of kinds of data (e.g. text, photos, videos) collected from both online and offline settings. Students will gain familiarity with techniques for using a variety of Internet-related methods, and will understand their challenges. Students will gain experience analysing qualitative data, and give them a conceptual understanding of the reasons for using qualitative analytic approaches, the limits of the techniques they will be using, and the opportunities and challenges unique to qualitative social research methods and the Internet. More about the MSc in Social Science of the Internet: https://www.oii.ox.ac.uk/study/msc/
Phylogenetic tree
 
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This lecture explains the construction of phylogenetic tree and properties of phylogenetic tree. For more information, log on to- http://shomusbiology.weebly.com/ Download the study materials here- http://shomusbiology.weebly.com/bio-materials.html Question source - www.indiabix.com
Views: 142762 Shomu's Biology
Introduction To Time series Analysis | Different Types of Forecasting Methods - ExcelR
 
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ExcelR: A time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Things you will learn in this video 1)Introduction to Time series analysis 2)Time series Vs Cross sectional data 3)Forecasting Strategy 4)Different types of forecasting To buy eLearning course on Data Science click here https://goo.gl/oMiQMw To register for classroom training click here https://goo.gl/UyU2ve To Enroll for virtual online training click here " https://goo.gl/JTkWXo" SUBSCRIBE HERE for more updates: https://goo.gl/WKNNPx For Time series analysis click here https://goo.gl/4WaQDJ For Introduction Time series analysis click here https://goo.gl/9gZMKG #ExcelRSolutions #Timeseries #Timeseriesanalysis #ForecastingStrategy #Introductiontotimeseries#DataScienceCertification #DataSciencetutorial #DataScienceforbeginners #DataScienceTraining ----- For More Information: Toll Free (IND) : 1800 212 2120 | +91 80080 09706 Malaysia: 60 11 3799 1378 USA: 001-844-392-3571 UK: 0044 203 514 6638 AUS: 006 128 520-3240 Email: [email protected] Web: www.excelr.com Connect with us: Facebook: https://www.facebook.com/ExcelR/ LinkedIn: https://www.linkedin.com/company/exce... Twitter: https://twitter.com/ExcelrS G+: https://plus.google.com/+ExcelRSolutions
Comparing Descriptive, Correlational, and Experimental Studies
 
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What are descriptive studies? What are correlational studies? What are experimental studies? What are the similarities and differences between these studies types?
Views: 52799 Brooke Miller
Types of research (अनुसन्धान के प्रकार)
 
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NET first Paper Research Aptitude Types of research (अनुसन्धान के प्रकार)
Views: 264779 Suvidyaa
Forgery and forged documents: methods, types. Signature forgery and its examination
 
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Subject:Criminology Paper: Forensic Science and Forensic Medicine
Views: 7758 Vidya-mitra
Correlation & Regression: Concepts with Illustrative examples
 
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We can use scatter plots to understand the relationships between variables, but it is applied only for obvious relationships like Temperature and Viscosity. Sometimes, it is not possible to comment about relationship between variables only looking at the graph. “CORRELATION & REGRESSION” are very important mathematical concepts to define relationship between variables. This is the topic for video. I have tried to explain these concepts with the help of practical examples which will be very easy to understand. I have also explained the procedure about how to create a “CORRELATION & REGRESSION ANALYSIS” in Microsoft Excel. Everything is with steps, snapshots and examples, which will be very easy to understand. I have also covered statistics part like how to read and understand “SIGNIFICANCE F and P-values” I am sure, you will liked it. Apart from this video, on your request, I have uploaded my 1st course content on Udemy in the form of notes in Microsoft word as well as Videos. If you want to download it, you can click on below link and use a code “25OFFCORREL” to get lifetime access with limited offer. https://www.udemy.com/correlation-regression-concepts-with-illustrative-example/?couponCode=25OFFCORREL Please visit to my website by clicking on the link below and contact us to eliminate bottleneck in your operations. We will guarantee your success by designing and delivering training as per your need and hand-holding support in execution of Continuous Improvement initiatives- https://www.learnandapply.org/ I have also created recommendation page on this website to avail you a great knowledge to improve your personal as well as professional life. You can visit this link to review it. https://www.learnandapply.org/recommondations And finally thank you for watching…
How to Analyze Literature
 
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Have a literary analysis paper coming up? This is one of the trickier types of essays for a lot of college students. Watch this video to learn a strategy for approaching literary analysis and to see an example. HACC Tutoring: https://www.hacc.edu/Students/Tutoring/index.cfm
Time Travel in Fiction Rundown
 
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Thanks to YouTube RED’s new original series, LIFELINE, for sponsoring this video. Watch the first episode for free: https://www.youtube.com/watch?v=Ru4zkxNuJ_I And thanks to my friends Sam and Niko (and all the rest) at the Corridor Digital channel for making awesome videos. Support MinutePhysics on Patreon! http://www.patreon.com/minutephysics Link to Patreon Supporters: http://www.minutephysics.com/supporters/ For ages I’ve been thinking about doing a video analyzing time travel in fiction and doing a comparison of different fictional time travels – some do use wormholes, some relativistic/faster than light travel with time dilation, some closed timelike curves, some have essentially “magic” or no consistent rules that make any sense, or TARDIS's, or whatever. This video is an explanation of how time travel functions in different popular movies, books, & shows – not how it works “under the hood", but how it causally affects the perspective of characters’ timelines (who has free will? can you change things by going back to the past or forwards into the future?). In particular, I explain Ender's Game, Planet of the Apes, Harry Potter and the Prisoner of Azkaban, Primer, Bill & Ted’s Excellent Adventure, Back to the Future, Groundhog Day, Looper, the video game “Braid”, and Lifeline. MinutePhysics is on twitter - @minutephysics And facebook - http://facebook.com/minutephysics And Google+ (does anyone use this any more?) - http://bit.ly/qzEwc6 Minute Physics provides an energetic and entertaining view of old and new problems in physics -- all in a minute! Created by Henry Reich
Views: 5271635 minutephysics
The science of analyzing conversations, second by second | Elizabeth Stokoe | TEDxBermuda
 
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Prof. Elizabeth Stokoe takes a run on what she terms the “conversational racetrack”—the daily race to understand each other when we speak—and explains how to avoid hurdles that trip us up and cause conflict. Elizabeth Stokoe is a British scientist. She studies conversation analysis. She is a professor at Loughborough University. She graduated from the University of Central Lancashire (Preston Poly) in 1993 with a traditional psychology degree. Then Stokoe completed three years PhD research at Nene College (Leicester University) with Dr. Eunice Fisher. Her research included videotaping interaction in university tutorials, and conducting conversation analyses of topic production, topic management, academic identity, and the relevance of gender. She developed these and other interests while working at the Institute of Behavioural Sciences (University of Derby, 1997-2000) and University College Worcester (2000-2002). Stokoe joined the Department of Social Sciences at Loughborough in October 2002 and was promoted to Reader (2007) and Chair (2009). She teaches on the BSc Social Psychology programme, covering modules in relationships, qualitative methods and forensic psychology. Stokoe developed the Conversation Analytic Role-play Method (CARM), an approach based on evidence about what sorts of problems and roadblocks can occur in conversation, as well as the techniques and strategies that best resolve these problems.[2] CARM won Loughborough University's Social Enterprise award (2013). About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
Views: 709972 TEDx Talks
NTA UGC NET Paper 1- Research Methodology (Crash Course)
 
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To excel with good scores in UGC NET exam, aspirants must know the basics of research that is, meaning, characteristics and types of research. They should be aware of the facts like research is always systematic, logical and objective, directed towards the solution of the problem, based on empirical or observable evidence, gives emphasis to theories or principles etc.There are various types of research which need the detailed study by the candidates. Some of them include exploratory, fundamental, historical and experimental.All these topic are covered in detail in this video to ease out your UGC NET Paper 1 preparations. Struggling to find NTA UGC NET/JRF English coaching near your home? Join India's finest online coaching for NTA UGC NET/JRF English Literature only at https://www.arpitakarwa.com/ Our NTA UGC NET English Online Course includes 800 Audios, 200 PDFs, 300 Mock Tests. The Course also covers all states SET/SLET syllabus. NTA UGC NET English Online Course Details: https://bit.ly/2GOA6J4 NTA UGC NET Course Video (10 Minutes) https://bit.ly/2wGZc9w NTA UGC NET Detailed Course Syllabus: https://bit.ly/2WVRRi4 Quick Revision PDFs on Most Important Topics: http://bit.ly/2HaUp6N Mock Test Series for NTA UGC NET English: https://bit.ly/2C85Jjy Demo Audios & PDFs: https://bit.ly/2wol3Tg Result of our Students: https://bit.ly/2LFwkJc Arpita’s Educational Qualification: https://bit.ly/2UJSLkb Solved Previous Year Papers of NTA UGC NET: https://bit.ly/2U5OrYe Follow us to receive GoNETQuiz & latest UGC NET updates: Whatsapp: 7976603731 Facebook: https://www.facebook.com/arpitakarwa.ugcnet/ Instagram: https://www.instagram.com/arpitakarwa.ugcnet/ YouTube: https://www.youtube.com/arpitakarwa/ Telegram: http://www.t.me/arpitakarwa #ResearchMethodology #CrashCourse #Paper1
Views: 351547 Arpita Karwa
Intro to Hypothesis Testing in Statistics - Hypothesis Testing Statistics Problems & Examples
 
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Get the full course at: http://www.MathTutorDVD.com The student will learn the big picture of what a hypothesis test is in statistics. We will discuss terms such as the null hypothesis, the alternate hypothesis, statistical significance of a hypothesis test, and more. In this step-by-step statistics tutorial, the student will learn how to perform hypothesis testing in statistics by working examples and solved problems.
Views: 1547342 Math and Science
USMLE Biostats 2: Types of Research Studies (Case Control, Cohort, RCT and more!)
 
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Want to support the channel? Be a patron at: https://www.patreon.com/LYMED Welcome to LY Med, where I go over everything you need to know for the USMLE STEP 1, with new videos every day. Follow along with First Aid, or with my notes which can be found here: https://www.dropbox.com/sh/an1j9swvjxu46hh/AACd2RIXeEZqghQkGY4EtKZYa?dl=0 This video is going to be on the different types of research. There are two broad categories: experimental (interventional) and observational. There are three types of observational studies: case control, cohort, and cross sectional. Cohort studies: this is a prospective study, when you take a group of people (cohort) who do not have the disease, but have risk factors. Then you watch them prospectively and see if they develop the disease. You then compare this relative to those who don't have the risk factor: relative risk. Case control: this is the opposite. This is a retrospective disease, where you get a group of people with the disease and look retrospectively to assess for risk factors. This study helps measure the odds ratio. Cross sectional studies: this looks at the prevalence of the disease in the present. The group is gathered regardless of exposure or disease. Some other study types include twin concordance study which looks at the genetic link between disease in twins. Another one is adoption study, which looks at nature vs nuture in children who are adopted to other families. Our next big category of studies are experimental studies. The best ways to conduct an experimental study is to randomize your groups, having a control group. The gold standard for experimental studies is called a randomized controlled trial for that reason. There are some subtypes of RCTS, including a crossover study where members from one group crossover to the other. Another one is a meta-analysis, which pools common RCT that increase the sample size and power. Last topic - the stages of an RCT. The first phase is to look at safety, the pharmacokinetics and pharmacodynamics, and side effects. The second phase is on efficacy. This is where most drugs fail. Phase three is whether or not the drug is better. Phase four deals with the longevity of the drug and to monitor it for long term side effects.
Views: 7269 LY Med
7 Reasons Ben Shapiro Is So Dominant In Debates
 
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Four Emotions for an Amazing First Impression: http://bit.ly/2qsWl1w How Jordan Peterson Wins An Argument: https://youtu.be/fS5nmy1v34c Subscribe to Charisma On Command’s YouTube Account: http://bit.ly/COC-Subscribe Arguments can be real tricky at times. We’ve all had that moment where we have great points and feel like we’re in the right, but once we start conversing and expressing our opinions we either look like a fool or a bully. How can we effectively win an argument or a debate? We’re going to breakdown some of Ben Shapiro's debate tactics and techniques so you can win an argument, even if you’re wrong. ⏰TIMESTAMPS⏰ 01:11 - Technique #1: Catching Non-Arguments 01:55 - Technique #2: Getting Emotional 02:40 - Technique #3: Pushing For Specifics 04:07 - Technique #4: Ben Knows His Arguments Inside And Out 06:02 - Technique #5: The Use Of Snuck Premises 08:35 - Technique #6: Moving From The Abstract To The Concrete 09:45 - Technique #7: Emphasize The Conditions That You Would Agree With Your Opponent ------------------------------------------------------------------ #BenShaprio #CharismaOnCommand #WinArguments ------------------------------------------------------------------ Connect With Us Further: Website: http://www.charismaoncommand.com Facebook: http://facebook.com/charismaoncommand Instagram: @CharismaOnCommand Or if you want to see our personal stuff (regular life + playing music): Instagram: @CharlieHoupert Instagram: @IamBenAltman Music : Willing To Try By Jay Man: ourmusicbox.com/Willing-to-try Time Passing By by Audionautix is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) Artist: http://audionautix.com/
Views: 5352800 Charisma on Command