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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: 136900 YaleUniversity
Qualitative analysis of interview data: A step-by-step guide
 
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The content applies to qualitative data analysis in general. Do not forget to share this Youtube link with your friends. The steps are also described in writing below (Click Show more): STEP 1, reading the transcripts 1.1. Browse through all transcripts, as a whole. 1.2. Make notes about your impressions. 1.3. Read the transcripts again, one by one. 1.4. Read very carefully, line by line. STEP 2, labeling relevant pieces 2.1. Label relevant words, phrases, sentences, or sections. 2.2. Labels can be about actions, activities, concepts, differences, opinions, processes, or whatever you think is relevant. 2.3. You might decide that something is relevant to code because: *it is repeated in several places; *it surprises you; *the interviewee explicitly states that it is important; *you have read about something similar in reports, e.g. scientific articles; *it reminds you of a theory or a concept; *or for some other reason that you think is relevant. You can use preconceived theories and concepts, be open-minded, aim for a description of things that are superficial, or aim for a conceptualization of underlying patterns. It is all up to you. It is your study and your choice of methodology. You are the interpreter and these phenomena are highlighted because you consider them important. Just make sure that you tell your reader about your methodology, under the heading Method. Be unbiased, stay close to the data, i.e. the transcripts, and do not hesitate to code plenty of phenomena. You can have lots of codes, even hundreds. STEP 3, decide which codes are the most important, and create categories by bringing several codes together 3.1. Go through all the codes created in the previous step. Read them, with a pen in your hand. 3.2. You can create new codes by combining two or more codes. 3.3. You do not have to use all the codes that you created in the previous step. 3.4. In fact, many of these initial codes can now be dropped. 3.5. Keep the codes that you think are important and group them together in the way you want. 3.6. Create categories. (You can call them themes if you want.) 3.7. The categories do not have to be of the same type. They can be about objects, processes, differences, or whatever. 3.8. Be unbiased, creative and open-minded. 3.9. Your work now, compared to the previous steps, is on a more general, abstract level. 3.10. You are conceptualizing your data. STEP 4, label categories and decide which are the most relevant and how they are connected to each other 4.1. Label the categories. Here are some examples: Adaptation (Category) Updating rulebook (sub-category) Changing schedule (sub-category) New routines (sub-category) Seeking information (Category) Talking to colleagues (sub-category) Reading journals (sub-category) Attending meetings (sub-category) Problem solving (Category) Locate and fix problems fast (sub-category) Quick alarm systems (sub-category) 4.2. Describe the connections between them. 4.3. The categories and the connections are the main result of your study. It is new knowledge about the world, from the perspective of the participants in your study. STEP 5, some options 5.1. Decide if there is a hierarchy among the categories. 5.2. Decide if one category is more important than the other. 5.3. Draw a figure to summarize your results. STEP 6, write up your results 6.1. Under the heading Results, describe the categories and how they are connected. Use a neutral voice, and do not interpret your results. 6.2. Under the heading Discussion, write out your interpretations and discuss your results. Interpret the results in light of, for example: *results from similar, previous studies published in relevant scientific journals; *theories or concepts from your field; *other relevant aspects. STEP 7 Ending remark This tutorial showed how to focus on segments in the transcripts and how to put codes together and create categories. However, it is important to remember that it is also OK not to divide the data into segments. Narrative analysis of interview transcripts, for example, does not rely on the fragmentation of the interview data. (Narrative analysis is not discussed in this tutorial.) Further, I have assumed that your task is to make sense of a lot of unstructured data, i.e. that you have qualitative data in the form of interview transcripts. However, remember that most of the things I have said in this tutorial are basic, and also apply to qualitative analysis in general. You can use the steps described in this tutorial to analyze: *notes from participatory observations; *documents; *web pages; *or other types of qualitative data. STEP 8 Suggested reading Alan Bryman's book: 'Social Research Methods' published by Oxford University Press. Steinar Kvale's and Svend Brinkmann's book 'InterViews: Learning the Craft of Qualitative Research Interviewing' published by SAGE. Good luck with your study. Text and video (including audio) © Kent Löfgren, Sweden
Views: 642186 Kent Löfgren
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/
Real Time QPCR Data Analysis Tutorial
 
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In this Bio-Rad Laboratories Real Time Quantitative PCR tutorial (part 1 of 2), you will learn how to analyze your data using both absolute and relative quantitative methods. The tutorial also includes a great explanation of the differences between Livak, delta CT and the Pfaffl methods of analyzing your results. For more videos visit http://www.americanbiotechnologist.com
Views: 308257 americanbiotech
Missing Data Analysis - Multiple Imputation, EM method
 
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This video introduces basic concept in missing data imputation including mean, regression, indication and EM method of single imputation and multiple imputation.
Views: 30653 Ayumi Shintani
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: 749761 Dr Nic's Maths and Stats
Excel Data Analysis: Sort, Filter, PivotTable, Formulas (25 Examples): HCC Professional Day 2012
 
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Download workbook: http://people.highline.edu/mgirvin/ExcelIsFun.htm Learn the basics of Data Analysis at Highline Community College Professional Development Day 2012: Topics in Video: 1. What is Data Analysis? ( 00:53 min mark) 2. How Data Must Be Setup ( 02:53 min mark) Sort: 3. Sort with 1 criteria ( 04:35 min mark) 4. Sort with 2 criteria or more ( 06:27 min mark) 5. Sort by color ( 10:01 min mark) Filter: 6. Filter with 1 criteria ( 11:26 min mark) 7. Filter with 2 criteria or more ( 15:14 min mark) 8. Filter by color ( 16:28 min mark) 9. Filter Text, Numbers, Dates ( 16:50 min mark) 10. Filter by Partial Text ( 20:16 min mark) Pivot Tables: 11. What is a PivotTable? ( 21:05 min mark) 12. Easy 3 step method, Cross Tabulation ( 23:07 min mark) 13. Change the calculation ( 26:52 min mark) 14. More than one calculation ( 28:45 min mark) 15. Value Field Settings (32:36 min mark) 16. Grouping Numbers ( 33:24 min mark) 17. Filter in a Pivot Table ( 35:45 min mark) 18. Slicers ( 37:09 min mark) Charts: 19. Column Charts from Pivot Tables ( 38:37 min mark) Formulas: 20. SUMIFS ( 42:17 min mark) 21. Data Analysis Formula or PivotTables? ( 45:11 min mark) 22. COUNTIF ( 46:12 min mark) 23. Formula to Compare Two Lists: ISNA and MATCH functions ( 47:00 min mark) Getting Data Into Excel 24. Import from CSV file ( 51:21 min mark) 25. Import from Access ( 54:00 min mark) Highline Community College Professional Development Day 2012 Buy excelisfun products: https://teespring.com/stores/excelisfun-store
Views: 1451910 ExcelIsFun
Analysing your Interviews
 
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This video is part of the University of Southampton, Southampton Education School, Digital Media Resources http://www.southampton.ac.uk/education http://www.southampton.ac.uk/~sesvideo/
Replacing missing data: Factual analysis method
 
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Get the Full course here:https://www.udemy.com/r-analytics/?couponCode=YOUTUBESPECIAL Missing data is a common thing in data scientist life. Today we will explore one of the methods for dealing with missing values which will help you for data management and data preparation - Factual Analysis Method. Use this special coupon to get a YouTube-only discount on the full course:https://www.udemy.com/r-analytics/?couponCode=YOUTUBESPECIAL
Views: 2474 SuperDataScience
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.
Views: 647154 Dr Nic's Maths and Stats
Phenomenology
 
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Let's go on a journey to learn about phenomenology!
Views: 96266 ChrisFlipp
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: 642381 Dr Nic's Maths and Stats
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/
6. Monte Carlo Simulation
 
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MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: John Guttag Prof. Guttag discusses the Monte Carlo simulation, Roulette License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 232735 MIT OpenCourseWare
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: 221535 Simple Learning Pro
Understanding descriptive and inferential statistics | lynda.com overview
 
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This statistical analysis overview explains descriptive and inferential statistics. Watch more at http://www.lynda.com/Excel-2007-tutorials/business-statistics/71213-2.html?utm_medium=viral&utm_source=youtube&utm_campaign=videoupload-71213-0101 This specific tutorial is just a single movie from chapter one of the Excel 2007: Business Statistics course presented by lynda.com author Curt Frye. The complete Excel 2007: Business Statistics course has a total duration of 4 hours and 19 minutes and covers formulas and functions for calculating averages and standard deviations, charts and graphs for summarizing data, and the Analysis ToolPak add-in for even greater insights into data Excel 2007: Business Statistics table of contents: Introduction 1. Introducing Statistics 2. Learning Useful Excel Techniques 3. Summarizing Data Using Tables and Graphics 4. Describing Data Using Numerical Methods 5. Using Probability Distributions 6. Sampling Values from a Population 7. Testing Hypotheses 8. Using Linear and Multiple Regression Conclusion
Views: 95865 LinkedIn Learning
An Introduction to Linear Regression Analysis
 
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Tutorial introducing the idea of linear regression analysis and the least square method. Typically used in a statistics class. Playlist on Linear Regression http://www.youtube.com/course?list=ECF596A4043DBEAE9C Like us on: http://www.facebook.com/PartyMoreStudyLess Created by David Longstreet, Professor of the Universe, MyBookSucks http://www.linkedin.com/in/davidlongstreet
Views: 591448 statisticsfun
StatQuest: Principal Component Analysis (PCA), Step-by-Step
 
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Principal Component Analysis, is one of the most useful data analysis and machine learning methods out there. It can be used to identify patterns in highly complex datasets and it can tell you what variables in your data are the most important. Lastly, it can tell you how accurate your new understanding of the data actually is. In this video, I go one step at a time through PCA, and the method used to solve it, Singular Value Decomposition. I take it nice and slowly so that the simplicity of the method is revealed and clearly explained. If you are interested in doing PCA in R see: https://youtu.be/0Jp4gsfOLMs If you'd like to support StatQuest, please consider buying one or two of my songs (or go large and get a whole album!) https://joshuastarmer.bandcamp.com/
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: 651680 ChrisFlipp
Observation method of data collection & Content analysis
 
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Part I. Video tutorial on Observation method of data collection and its features by Mubashira. P.K, Amal College Nilambur Part II. Vodeo tutorial on Content analysis, its characteristics & forms by Abisha P, Amal College Nilambur
Views: 2032 AMAL DCMS
Coding Part 1: Alan Bryman's 4 Stages of qualitative analysis
 
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An overview of the process of qualitative data analysis based on Alan Bryman's four stages of analysis. Reference Bryman, A (2001) Social Research Methods, Oxford: Oxford University Press This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) http://creativecommons.org/licenses/by-nc-sa/4.0/
Views: 188369 Graham R Gibbs
Introduction to Bayesian data analysis - part 1: What is Bayes?
 
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Try my new interactive online course "Fundamentals of Bayesian Data Analysis in R" over at DataCamp: https://www.datacamp.com/courses/fundamentals-of-bayesian-data-analysis-in-r ---- This is part one of a three part introduction to Bayesian data analysis. This first part aims to explain *what* Bayesian data analysis is. See here for part 2: https://youtu.be/mAUwjSo5TJE Here are links to the exercises mentioned in the video: R - https://goo.gl/cxfnYK (if this link does not work for you try http://rpubs.com/rasmusab/257829) Python - https://goo.gl/ceShN5 More Bayesian stuff can be found on my blog: http://sumsar.net. :)
Views: 61107 rasmusab
(Part I) Research Method and Basic Biostatistics: Data Analysis
 
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Course Research Method and Basic Statistics Topics: Data Analysis
Views: 69 Kajidataonline
Grounded Theory
 
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Have you ever wanted to create a theory? Now you can! Let's journey through Grounded Theory and learn how to do it!
Views: 130846 ChrisFlipp
Quantitative Sampling
 
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Let's go on a journey and learn how to conduct sampling for quantitative research methods!
Views: 80039 ChrisFlipp
A Practical Introduction to Content Analysis
 
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Statistics and Data Series presentation by Dr. Catherine Corrigall-Brown, Jan 23, 2013 at Western University: "A Practical Introduction to Content Analysis." The presentation outlined what content analysis is, discussing how contents are coded, and illustrated types of analyses that can be done with the technique. Dr. Corrigall-Brown also presented a few examples of studies done with content analysis. Slides for this presentation are online at the RDC website. The Statistics and Data Series is a partnership between the Centre for Population, Aging and Health and the Research Data Centre. This interdisciplinary series promotes the enhancement of skills in statistical techniques and use of quantitative data for empirical and interdisciplinary research. More information at http://rdc.uwo.ca
Views: 48089 Western University
Fundamentals of Qualitative Research Methods: Focus Groups (Module 4)
 
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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 4. Morgan D. Focus groups. Annual Review Sociology 1996;22:129-152. 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: 71256 YaleUniversity
Principal Components Analysis - Georgia Tech - Machine Learning
 
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Watch on Udacity: https://www.udacity.com/course/viewer#!/c-ud262/l-649069103/m-661438544 Check out the full Advanced Operating Systems course for free at: https://www.udacity.com/course/ud262 Georgia Tech online Master's program: https://www.udacity.com/georgia-tech
Views: 235666 Udacity
Sampling & its 8 Types: Research Methodology
 
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Dr. Manishika Jain in this lecture explains the meaning of Sampling & Types of Sampling Research Methodology Population & Sample Systematic Sampling Cluster Sampling Non Probability Sampling Convenience Sampling Purposeful Sampling Extreme, Typical, Critical, or Deviant Case: Rare Intensity: Depicts interest strongly Maximum Variation: range of nationality, profession Homogeneous: similar sampling groups Stratified Purposeful: Across subcategories Mixed: Multistage which combines different sampling Sampling Politically Important Cases Purposeful Sampling Purposeful Random: If sample is larger than what can be handled & help to reduce sample size Opportunistic Sampling: Take advantage of new opportunity Confirming (support) and Disconfirming (against) Cases Theory Based or Operational Construct: interaction b/w human & environment Criterion: All above 6 feet tall Purposive: subset of large population – high level business Snowball Sample (Chain-Referral): picks sample analogous to accumulating snow Advantages of Sampling Increases validity of research Ability to generalize results to larger population Cuts the cost of data collection Allows speedy work with less effort Better organization Greater brevity Allows comprehensive and accurate data collection Reduces non sampling error. Sampling error is however added. Population & Sample @2:25 Sampling @6:30 Systematic Sampling @9:25 Cluster Sampling @ 11:22 Non Probability Sampling @13:10 Convenience Sampling @15:02 Purposeful Sampling @16:16 Advantages of Sampling @22:34 #Politically #Purposeful #Methodology #Systematic #Convenience #Probability #Cluster #Population #Research #Manishika #Examrace For IAS Psychology postal Course refer - http://www.examrace.com/IAS/IAS-FlexiPrep-Program/Postal-Courses/Examrace-IAS-Psychology-Series.htm For NET Paper 1 postal course visit - https://www.examrace.com/CBSE-UGC-NET/CBSE-UGC-NET-FlexiPrep-Program/Postal-Courses/Examrace-CBSE-UGC-NET-Paper-I-Series.htm
Views: 239784 Examrace
Excel - Time Series Forecasting - Part 1 of 3
 
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Part 2: http://www.youtube.com/watch?v=5C012eMSeIU&feature=youtu.be Part 3: http://www.youtube.com/watch?v=kcfiu-f88JQ&feature=youtu.be This is Part 1 of a 3 part "Time Series Forecasting in Excel" video lecture. Be sure to watch Parts 2 and 3 upon completing Part 1. The links for 2 and 3 are in the video as well as above.
Views: 728368 Jalayer Academy
SPSS for Beginners 1: Introduction
 
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Updated video 2018: SPSS for Beginners - Introduction https://youtu.be/_zFBUfZEBWQ This video provides an introduction to SPSS/PASW. It shows how to navigate between Data View and Variable View, and shows how to modify properties of variables.
Views: 1290153 RStatsInstitute
Fundamentals of Qualitative Research Methods: Interviews (Module 3)
 
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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 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: 73218 YaleUniversity
Data Interpretation techniques | Sample Data Interpretation questions | TalentSprint
 
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Data Interpretation carries a high weight in any competitive exams. Getting the concepts right is a key to score more. In this session, our expert faculty Rohit Agarwal discusses the basics of Data analysis and Interpretation followed by practicing a few data interpretation questions. Watch our videos and get ready for bank exam. For more Tips, Techniques and shortcuts subscribe to our channel! #datainterpretation #datainterpretationpractice #datainterpretationquestions #datainterpretationtechniques #dataanalysisandinterpretation TalentSprint’s Online program has 600+ video lessons, Practice test, LIVE problem-solving sessions and more. ------------------------------------------------------------------------------------------------------------------------------------ Jumpstart your career with TalentSprint! 1.Take Subject wise Practice tests and All-India Mock Tests with Benchmarking, Feedback and Recommendations by Tia (A bot that has helped over 10,500 Students crack competitive exams). 2.Thrice a Week Problem Solving Classes by Expert Trainer. 3.Trainer-Student Forum Access that provides a Highly interactive forum for instant doubt 4.Clearance & discussions with peers. 5.1 working Day Trainer Team Turnaround for Forum Queries. ------------------------------------------------------------------------------------------------------------------------------------- Choose Your Preparation Method. Online - Join and get a dashboard full of video lessons, ebooks, LIVE classes & other preparation material. Pendrive - Delivered at your doorstep with a COD Option. A pocket classroom that helps you prepare on-the-go with no internet. XP Centres - A classroom with a difference. This enhances your preparation and helps you explore more advanced forms. ----------------------------------------------------------------------------------------------------------------------------------------- Fast forward your career with TalentSprint! 1.Prepare with India’s Leading Trainers 2.Study on the go with 24/7 Digital Learning 3.Practice with All India Tests 4.Improve with Personalized feedback with TIA 5.Get 1000+ IT recruitment drives per Year. 6.Win with 5 times higher success rate. For more information, Please Contact us at 1800 102 906 or Visit our website at https://www.talentsprint.com/bank
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.
StatQuest: Principal Component Analysis (PCA) clearly explained (2015)
 
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NOTE: On April 2, 2018 I updated this video with a new video that goes, step-by-step, through PCA and how it is performed. Check it out! https://youtu.be/FgakZw6K1QQ RNA-seq results often contain a PCA or MDS plot. This StatQuest explains how these graphs are generated, how to interpret them, and how to determine if the plot is informative or not. I've got example code (in R) for how to do PCA and extract the most important information from it on the StatQuest website: https://statquest.org/2015/08/13/pca-clearly-explained/ If you'd like to support StatQuest, please consider buying one or two of my songs (or go large and get a whole album!) https://joshuastarmer.bandcamp.com/
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: 179157 YaleUniversity
Easy Method Filter reduces time for data analysis
 
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Your analytical LC method screening campaign is complete? By now, you will have created a considerable amount of data. In this video, we will explain to you how to easily filter your results for the conditions that solve your chromatic challenge. Easy Method Filter is an interactive report that gives you the possibility to filter results for minimum resolution, minimum number of peaks, or for minimum or maximum symmetry to exclude runs with unsatisfying peak forms, for example, tailing or fronting. Learn more about Agilent Method Scouting Wizard at: https://www.agilent.com/chem/method-scouting-wizard
Analysis of recursive equation using master's method example 1 - Data structures lecture series
 
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In this lecture series, you will be learning about Data structures concepts and examples related to it. Analysis of recursive equation using master's method.
Views: 12 Eezytutorials
Data Interpretation questions | DI-102 | IBPS PO RRB SO-2017 | Unique method #Amar Sir
 
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Please watch: "Wrong Number Series-88 IBPS PO/IBPS RRB PO MAIN 2018 Unique ‘Slope Method’" https://www.youtube.com/watch?v=K2JOR7ZARMM --~-- Our aim is to prepare students at their own, particularly the poors. So all the videos are free. But those who are able and wish to contribute to run this campaign smoothly may do the same. My mobile number 9931134475 is the Paytm and BHIM number. AMAR KUMAR SINGH SBI A/c 11009037430, IFSC-SBIN0000096, Main Branch, Jamshedpur. Join on Face Book: Chanakya Career Academy: https://www.facebook.com/groups/1441520242794598/ The Data Interpretation “DI-102” is a good Practice Set for the IBPS PO RRB SO-2017. Enjoy! All the best! Watch the video: “Data Interpretation questions | DI-102 | IBPS PO RRB SO-2017 | Unique method #Amar Sir”: https://youtu.be/xVFF8QFI_Xo Amar Sir's Math Tricks: Quicker Method: Just in few seconds: Without using pen and paper: SBI PO/ Clerk/ IBPS PO/ Clerk/ SSC CGL/ Railway/ RRB/ LIC/ NDA/ CDS/ IAS/ JPSC/ BPSC: By Amar Sir having an experience of 23 years of teaching: Director of Chanakya Career Academy, Jamshedpur: 09931134475/09334476175
Views: 17519 Amar Sir
Time Series Forecasting Theory | AR, MA, ARMA, ARIMA | Data Science
 
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In this video you will learn the theory of Time Series Forecasting. You will what is univariate time series analysis, AR, MA, ARMA & ARIMA modelling and how to use these models to do forecast. This will also help you learn ARCH, Garch, ECM Model & Panel data models. For training, consulting or help Contact : [email protected] For Study Packs : http://analyticuniversity.com/ Analytics University on Twitter : https://twitter.com/AnalyticsUniver Analytics University on Facebook : https://www.facebook.com/AnalyticsUniversity Logistic Regression in R: https://goo.gl/S7DkRy Logistic Regression in SAS: https://goo.gl/S7DkRy Logistic Regression Theory: https://goo.gl/PbGv1h Time Series Theory : https://goo.gl/54vaDk Time ARIMA Model in R : https://goo.gl/UcPNWx Survival Model : https://goo.gl/nz5kgu Data Science Career : https://goo.gl/Ca9z6r Machine Learning : https://goo.gl/giqqmx Data Science Case Study : https://goo.gl/KzY5Iu Big Data & Hadoop & Spark: https://goo.gl/ZTmHOA
Views: 311214 Analytics University
Analysis of binary search analysis using master's method example - Data structures lecture series
 
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In this lecture series, you will be learning about Data structures concepts and examples related to it. Analysis of binary search analysis using master's method example.
Views: 9 Eezytutorials
What Does Coding Looks Like?: Qualitative Research Methods
 
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You may be told that you need to "code" some qualitative data like interview transcripts, photos, or audio clips, but what does coding look like? We give you the basics. See our other modules on many related topics at Mod-U: https://modu.ssri.duke.edu
Time Series Analysis | Trend Measurement | Method of Least Square | Measurement of Secular Trend
 
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Management Studies; Quantitative Techniques: Time Series Analysis | Trend Measurement | Method of Least Square; Video by Edupedia World (www.edupediaworld.com). All Rights Reserved. Have a look at the other videos on this topic: https://www.youtube.com/playlist?list=PLJumA3phskPH2vSufmMsrBUHbuoQY3G4R Browse through other subjects in our playlist: https://www.youtube.com/channel/UC6E97LDJTFJgzWU7G3CHILw/playlists?sort=dd&view=1
Views: 23980 Edupedia World
XRD analysis
 
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XRD -Peak indexing, Other calculations
Views: 137518 illuminati physics