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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: 172529 YaleUniversity
Media Research : Statistics or Data Analysis and Interpretation
 
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This Lecture talks about Statistics or Data Analysis and Interpretation
Views: 1908 cec
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: 769202 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/
9. Understanding Experimental Data
 
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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: Eric Grimson Prof. Grimson talks about how to model experimental data in a way that gives a sense of the underlying mechanism and to predict behavior in new settings. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 15923 MIT OpenCourseWare
What Is The Unit Of Analysis In Research? - Nerd-Out Wednesdays
 
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The unit of analysis is the phenomenon or entity being studied. It is generally the thing that you are sampling in a quantitative study. It varies depending on what you are interested in. The unit of analysis may differ from the unit of observation, as you use the unit of analysis to explain the relationship set the theoretical level in the unit of observation occurs when you actually sample data. This idea of understanding the unit of observation versus the unit of analysis is important for quantitative research. The unit of analysis is important for both quantitative research and qualitative research, but it is often discussed in quantitative research. It differs from the level of analysis. The level of analysis generally pertains to the level at which you are analyzing a particular mechanism for a unit of analysis. For example, you might use population ecology to study the behavior of firms. Population ecology occurs at the population level (ie. aggregate) of firms but you are really studying firm behavior. It is important to get the right unit of analysis so that the theories you choose hold and are consistent when you analyze your data. For example, if you analyze transaction costs but then you look at firm behavior, you’re likely going to capture something other than transaction costs. Generally, you want to have the unit of analysis at the same level of analysis of your theory. You can also focus on a unit of analysis that cuts across levels of analysis. This is called multi-level theorizing, but it generally is not recommended because unless it is well done, it makes your paper seem very shallow. Most people end up just gathering theories from many different areas to explain the unit of analysis. The reason why you want to ensure that the unit of analysis in the level of analysis are similar is because you are unlikely to explain the phenomenon fully if you choose different levels of analysis, and rule out other possible explanations. Check out: What Is A Level Of Analysis? Nerd-out Wednesday https://youtu.be/MIlQIfrXmN8 What Is A Confirmation Bias? Confirmation Biases - Nerd-Out Wednesday https://youtu.be/72PnUjoSNKY How To Write A Research Question - Nerd-Out Wednesdays https://youtu.be/TQF7H0sEDcA How Do You Analyze Data In Research When Nothing Works? - Nerd-Out Wednesday https://youtu.be/AqRFsv7umhk What is reliability and validity? https://youtu.be/5lmUFIxfuAs **************** David Maslach is a research professor of entrepreneurship, innovation, and business strategy, I discuss topics, such as behavioral science, strategy, innovation, and entrepreneurship, and apply these to my new peer proofreading and editing platform. Topics include the sharing economy, altruism, investing in technology, starting a business, and bounded rationality. My favorite videos pertain to incentives, goal setting, and learning from failure to drive behaviors such as weight loss, stopping telemarketers, creating novel technologies, and creating new movements. https://r3ciprocity.com: Peer proofreading and editing platform A new platform where you can earn credits by editing other people's documents. Use these credits to have your own work edited. If you do a good enough job, you can convert these credits to money. The goal of the platform is to get people to 'pay it forward' and help other people out by creating incentives for people to give back. Check out https://www.r3ciprocity.com Please subscribe to the Youtube channel: https://www.youtube.com/channel/UC5spxk7bNDMGPSHjW_8ndZA
Views: 1482 r3ciprocity Team
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/
Analysis of Empirical research Data
 
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The Complete data Analysis of an Empirical research Data starting from questionnaire to final interpretation of the analysed data. very useful for writing Empirical research Articles. I have used Factor analysis and Amos to interpreted the mediation effect of variables.
Views: 1047 My Easy Statistics
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: 788831 Dr Nic's Maths and Stats
Factor Analysis - Factor Loading, Factor Scoring & Factor Rotation (Research & Statistics)
 
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Dr. Manishika Jain in this lecture explains factor analysis. Introduction to Factor Analysis: Factor Loading, Factor Scoring & Factor Rotation. NET Psychology postal course - https://www.examrace.com/CBSE-UGC-NET/CBSE-UGC-NET-FlexiPrep-Program/Postal-Courses/Examrace-CBSE-UGC-NET-Psychology-Series.htm NET Psychology MCQs - https://www.doorsteptutor.com/Exams/UGC/Psychology/ IAS Psychology - https://www.examrace.com/IAS/IAS-FlexiPrep-Program/Postal-Courses/Examrace-IAS-Psychology-Series.htm IAS Psychology test series - https://www.doorsteptutor.com/Exams/IAS/Mains/Optional/Psychology/ Steps in Research Proposal @0:24 Research Topic @0:43 Review of Literature @0:56 Rationale and Need for the Study @1:18 Definition of Terms @1:24 Assumptions @3:03 Method, Sample and Tools @4:06 Probability Sampling @4:23 Non - Probability Sampling @4:34 Significance of Study @5:13 Technique for Data Analysis @5:18 Bibliography @5:42 Budget @6:28 Chapterisation @6:39 #Expenditure #Tabulate #Significance #Assumption #Literature #Rationale #Constitutive #Phenomena #Elucidate #Literature #Manishika #Examrace Factor Analysis and PCA Reduce large number of variables into fewer number of factors Co-variation is due to latent variable that exert casual influence on observed variables Communalities – each variable’s variance that can be explained by factors Types of Factoring • PCA – maximum variance for 1st factor; removes that and uses maximum for 2nd factor and so on… • Common Factor Analysis – Same as factor analysis (only common variance – used in CFA) • Image Factoring – correlation matrix; uses OLS regression matrix • Maximum Likelihood Method – on correlation matrix • Alpha Factoring • Weight Square Estimate communalities - each variable’s variance that can be explained by factor. See factors are retained Factor rotation - Procedure in which the eigenvectors (factors) are rotated in an attempt to achieve simple structure. Factor loading - Relation of each variable to the underlying factor. Output of a simple factor analysis looking at indicators of wealth, with just six variables and two resulting factors 6 variables: Income, education, occupation, house value, public parks and crimes 2 factors: individual socioeconomic status and neighborhood socioeconomic status Factor Score – if value of variables are given then factor values can be predicted Interpretation
Views: 15666 Examrace
Research Methodology, Data Analysis and Interpretation
 
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Research Methodology, Data Analysis and Interpretation- 065
Qualitative Data Analysis - Coding & Developing Themes
 
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This is a short practical guide to Qualitative Data Analysis
Views: 138865 James Woodall
Analysis of the data - How to write a research dissertation (ebook video)
 
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http://www.etextbooks.ac.uk/dissertation/chapter-9-dissertation-analysis-of-the-data/ Once the research results have been carefully gathered and recorded using some filing system, the data needs to be able to be explained and interpreted in order to attempt to answer the initial research question. The type of analysis and the means of presentation need to be considered at an early stage – even before the results themselves have been obtained – in order to be certain that the research method(s) chosen can actually be used to generate sensible results. This chapter in the book outlines some key steps to ensure that your data analysis is appropriate for your needs. The companion website shares the experiences of some active researchers in how they approach data analysis in their own research areas.
Research Methodology, Data Analysis & Interpretation
 
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Research Methodology, Data Analysis & Interpretation- 073
Solving Data Interpretation Problems- Tricks, Techniques, Visualization and Imagination
 
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Dr. Manishika Jain in this video focuses on solving data interpretation problems mainly finding way out for approximations, solving bar graphs, tables and pie charts by imagination and visualization. For more details and elaborate solutions to problems visit https://www.doorsteptutor.com/Exams/ Types of Questions @0:38 Themes for Trick Analysis @0:59 Doing Approximation – Game of Zero’s @3:11 Don’t Simplify Fractions – Until Necessary @10:45 Average @14:11 Pie Diagram @15:56 #Tricks #Imagination #Fractions #Necessary #Interpretation #Approximation #Scatter #Visualization #Manishika #Examrace NTA NET Online Crash Course - https://www.doorsteptutor.com/Exams/UGC/Paper-1/Online-Crash-Course/ NTA NETMock papers - https://www.doorsteptutor.com/Exams/UGC/Paper-1/Online-Test-Series/ NET Practice questions - https://www.doorsteptutor.com/Exams/UGC/Paper-1/Questions/ NET Postal Course - https://www.examrace.com/NTA-UGC-NET/NTA-UGC-NET-FlexiPrep-Program/Postal-Courses/Examrace-NTA-UGC-NET-Paper-I-Series.htm Examrace is number 1 education portal for competitive and scholastic exam like UPSC, NET, SSC, Bank PO, IBPS, NEET, AIIMS, JEE and more. We provide free study material, exam & sample papers, information on deadlines, exam format etc. Our vision is to provide preparation resources to each and every student even in distant corders of the globe. Dr. Manishika Jain served as visiting professor at Gujarat University. Earlier she was serving in the Planning Department, City of Hillsboro, Hillsboro, Oregon, USA with focus on application of GIS for Downtown Development and Renewal. She completed her fellowship in Community-focused Urban Development from Colorado State University, Colorado, USA. For more information - https://www.examrace.com/About-Examrace/Company-Information/Examrace-Authors.html data interpretation techniques data interpretation basics data interpretation pie chart data interpretation youtube data interpretation books data interpretation test data interpretation for ugc net data interpretation infosys
Views: 246053 Examrace
Understanding the p-value - Statistics Help
 
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With Spanish subtitles. This video explains how to use the p-value to draw conclusions from statistical output. It includes the story of Helen, making sure that the choconutties she sells have sufficient peanuts. You might like to read my blog: http://learnandteachstatistics.wordpress.com
Views: 841227 Dr Nic's Maths and Stats
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)
Research Methodology, Data Analysis & Interpretation Training
 
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Research Methodology, Data Analysis & Interpretation Training
MTL M8 - introduction to research data analysis
 
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This is a short video introduction on the scheduled session covering research data analysis. Recorded by MJOD on 13-June 2012
Views: 1207 239MikeO
How to tabulate, analyze, and prepare graph from Likert Scale questionnaire data using Ms Excel.
 
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This video describes the procedure of tabulating and analyzing the likert scale survey data using Microsoft Excel. This video also explains how to prepare graph from the tabulated data. Photo courtesy: http://littlevisuals.co/
Views: 129076 Edifo
Class 1: introduction to research data analysis
 
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PSYC 440/640 is called "Experimental Methods", but really the course is mostly about data analytic techniques that could be used in a variety of research contexts, including both experimental studies, and non-experimental studies. This lecture provides a brief introduction to the course and to the topics that we will cover in this course. It also reviews the whole research process, to show how research design, methods, and analyses are connected.
Views: 518 Keith Donohue
Action Research Data Analysis
 
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Examples from YATST Action Research work.
Views: 2032 Susan Hennessey
Research Methodology : Qualitative Research (Content Analysis)
 
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This Lecture talks about Qualitative Research (Content Analysis)
Views: 18081 cec
NTA NET /JRF PAPER 1 TEACHING AND RESEARCH APTITUDE (Data Analysis and Interpretation continued)
 
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ILP INITIATIVE COPYRIGHT ATTAR SINGH SHARMA (A.S.S) SCIENCE FOUNDATION DELHI
Research Project: Data Analysis in SPSS
 
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Research Project: Data Analysis in SPSS
DATA ANALYSIS II प्रदत्त विश्लेषण RESEARCH APTITUDE UGC NET
 
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Please watch: "ITEM ANALYSIS:DIFFICULTY VALUE II प्रश्न विश्लेषण: जटिलता स्तर" https://www.youtube.com/watch?v=3xfVFZzpa4o ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ --~-- #data_analysis #research_aptitude #UGC_NET This video lecture by Educators Plus illustrates an important topic for UGC NET GENERAL PAPER AND EDUCATION deals with RESEARCH APTITUDE for UGC NET JUNE 2019 exam. In this video data analysis, quantitative and qualitative data analysis is illustrated with examples for general paper students and EDUCATION (09) subject students. For More Insight click on following links. RESEARCH APTITUDE शोध अभिवृत्ति UGC NET https://www.youtube.com/watch?v=tLxAf... UGC NET EDUCATION SUBJECT https://www.youtube.com/watch?v=LHfqI... UGC NET GENERAL PAPER JUNE 2019 https://www.youtube.com/watch?v=LHfqI... QUIZ CLASSES TEACHING APTITUDE https://www.youtube.com/watch?v=h4QIs... GENERAL PEDAGOGY FOR CTET AND OTHER TET'S https://www.youtube.com/watch?v=SX-jq... TEACHING APTITUDE UGC NET 2019 https://www.youtube.com/watch?v=SX-jq... LOGICAL REASONING NET 2019 GENERAL PAPER https://www.youtube.com/watch?v=VTH8f... CHANGED SYLLABUS UGCNET JUNE2019 https://www.youtube.com/watch?v=EBgnh... UGC NET DECEMBER 18 OFFICIAL ANS KEYS https://www.youtube.com/watch?v=2OL5r... For more : Subscribe Educators Plus https://www.youtube.com/c/EducatorsPlus Facebook:https://www.facebook.com/UGCNETEDUCAT... Instagram: https://www.instagram.com/educatorsplus Blog: https://pluseducators.blogspot.com
Views: 385 Educators Plus
Research Methodology-Data Analysis
 
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MPH Research Methodology First Year first Semester Course Code:MPH-1403 Recording Date:23-11-2018 Data Analysis
Data Analysis For Quantitative Research
 
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Data Analysis For #Quantitative Research: #Qualitative #DataAnalysis is an iterative process of individual and group level review and #interpretation of narrative data. Purpose of Data Analysis Section: 1. Convince readers of your knowledge of the data and how you will use it. 2. Convince readers of your capability as a #researcher. 3. Convince readers of the analysis and results. How to write it? 1. Provide a Level-2 Heading. 2. Provide a roadmap of your data and #analysis. 3. Provide the data you have and what you do with it. Let's quickly talk about T-Test and Anova for Now A) Independent Sample T-Tests 1. State what data you are comparing. 2. Convey experimental group and control group. 3. Mention both groups at beginning and end of study. B) Dependent Sample T-Tests. 1. State what data you are comparing. 2. Convey that you are comparing at different times. 3. Mention the testing times for Comparision. C) Anova 1. State the type of data you have. 2. Describe the results or effects of the comparison. 3. Describe the interaction effects. D) #Hypothesis 1. Restate your hypothesis or predictions Contact Information INDIA: +91-8754446690 UK: +44-1143520021 Email: [email protected] Visit: http://www.statswork.com/
Views: 61 Stats Work
Primary & secondary data, meta analysis - Research Methods (7.24) Psychology AQA paper 2
 
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7.24 Primary & secondary data, meta analysis - Research Methods - AQA spec Alevel Psychology, p2 in this video definitions and evaluations of Primary Data, Secondary Data, Meta-analysis If you are a student of A-level AQA psychology I have made these videos for you! They are a full set of videos for every part of the AQA specification from 2015 onwards. They are to be used in preparation for a flipped classroom, revision, self teaching or for anyone who is just interested in psychology in general. I have attempted to make them as simple, focused and accurate as possible, 6 key points for each sub topic, (to match the 6 A01/ knowledge points in the biggest essay you will get, a 16 marker) 2 pieces of evaluative research per sub-topic (with ways to expand these to gain the 10 A03/ Evaluation points available) The channel is an on-going project in my spare time, I'm a full time Psychology A-level teacher teaching over 125 students over A1 and A2. That being said, I'm not perfect, if you spot a mistake or omission, please let me know so I can adapt the next video!
Views: 1349 Psych Boost
NTA NET /JRF PAPER 1 TEACHING AND RESEARCH APTITUDE (Data Analysis and Interpretation)
 
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ILP INITIATIVE COPYRIGHT ATTAR SINGH SHARMA (A.S.S) SCIENCE FOUNDATION DELHI
MCO 3- Research Methodology & Statistical Analysis, Essential For & Precautions In Interpretation
 
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The Commerce Aspirants, MCO 3- Research Methodology & Statistical Analysis, Essential For & Precautions In Interpretation
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: 406873 CrashCourse
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: 228164 YaleUniversity
LSE Research: Raising the Quality of Qualitative Analysis
 
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Kavita Abraham, of LSE's Methodology Institute, explains what happens if you get a computer program to analyse qualitative data. Qualitative data can provide a researcher with a lot of interesting information, but trying to interpret what it means can lead to methodological problems. Unlike a list of numbers, the meaning of a text is not something everyone will necessarily agree on. It's much easier for researcher bias to affect the interpretation, and it's often difficult to explicitly demonstrate how conclusions have been reached. But what if you could train a machine to do the analysis? In this short film Kavita Abraham of LSE's Methodology Institute explains how she has been using a software called Alceste to analyse the transcripts of interviews with hundreds of people from Angola, Tanzania, and Sierra Leone. The interviews, which explored perceptions of local governance, were conducted by the BBC World Service Trust, a charity that uses the power of the media to reduce poverty and promote human rights. Here Dr Abraham highlights some of the advantages of using a machine to study this kind of qualitative data.
Writing a Research Proposal - Data Analysis
 
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This video was recorded for a third year Midwifery module. Featuring University of Nottingham Division of Midwifery's Zoey Spendlove, filmed by the Health E-Learning and Media Team (HELM). This resource was created for University of Nottingham Students and its intended use is as a teaching aid that forms a part of the Midwifery BSc. This video is strictly for information purposes only.
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: 183196 Key Differences
Data interpretation आंकड़ा निर्वचन परिचय paper 1 NTA  NET 2019
 
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About my video CONTACT US : 98885-23440 E-MAIL ADD :- [email protected] In this channel , we will provide study material for various in multi languages ( ENGLISH + HIND + PUNJABI ) exams like ( UGC NTA- NET / SSC / BANKING / RAILWAY / C-TET/PS-TET/ MASTER CADRE / IAS / PCS / UPSC & ALL TYPES OF GOVT. EXAMS ) We will provide FREE COACHING CLAASES FOR VARIOUS GOVT. EXAMS NO NEED TO JOIN COSTLY COACHING AT ALL THANK YOU JAI HIND VIDEO LINKS FOR UGC NTA NET 2019 FULL PLAYLIST LINK https://www.youtube.com/channel/UC4GMwg99W5UST6JtwPxmYQQ/playlists TEACHING APTITUDE https://www.youtube.com/watch?v=SPCO6NXh5Wg&list=PLDAOcpv5-bTwlDxHt9RgPLuwzlyss-V32 TEACHING APTITUDE HINDI MEDIUM https://www.youtube.com/watch?v=uo4vHKQRZ6Q&list=PLDAOcpv5-bTyAKLK_COl0OTMJgZc716S2 RESEARCH APTITUDE https://www.youtube.com/watch?v=z3WLhQV-V58&list=PLDAOcpv5-bTwFXV6At-Y7R06rw9x6ZDn7 RESEARCH APTITUDE HINDI MEDIUM https://www.youtube.com/watch?v=R-c0o5NCxPw&list=PLDAOcpv5-bTzdQAObUJaIbDRafLswggOg INDIAN LOGIC https://www.youtube.com/watch?v=7nc4k5niHw4&list=PLDAOcpv5-bTxOiXEeuJ3ueghlF04Yc-_B INDIAN LOGIC HINDI MEDIUM https://www.youtube.com/watch?v=kTpFBrTSoAA&list=PLDAOcpv5-bTzJgvzHWyqcqN5YjixWxIHy
Types of Case Study. Part 1 of 3 on Case Studies
 
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A lecture on case studies as a research strategy taken from a series on research methods and research design given to masters (graduate) students by Graham R Gibbs at the University of Huddersfield. This is part 1 of three, and deals with the different kinds of case studies and looks at some key examples from the social sciences such as single cases, community studies and organizations, institutions, events, roles and relationships as cases. Somer references on case studies Edwards, D. 1. A. (1998) Types of case study work: A conceptual framework for case-based research, Journal of Humanistic Psychology, 3 8(3), pp. 36-70. Gerring, John (2007) Case Study Research. Cambridge: Cambridge University Press. Gomm, R., Hammersley, M. & Foster, P. (eds) (2000) Case Study Method. London: Sage. Miles, A B, & Huberman, A.M. (1994) Qualitative data analysis. an expanded sourcebook, Sage. Robson, C. (1993) Real World Research, Oxford: Blackwell. Simons, H. (2009). Case study research in practice. London: SAGE. Stake, R. (1994) Case Studies, In N. K. Denzin & Y. S. Lincoln Handbook of Qualitative Research, Sage. Swaborn, P (2010) Case Study Research, London: SAGE. Tight, M (2017) Understanding Case Study Research: Small Scale Research with Meaning. Thousand Oaks, CA; London;: SAGE. Thomas, Gary (2016) How to do your case study, 2nd Ed. London: SAGE Travers, M. (2013). Qualitative research through case studies. Thousand Oaks, CA;London;: SAGE. Wilson, S. L. (1995) Single case experimental designs. In G. M. Breakwell, S, Hammond & C. Fife-Shaw (Eds.), Research Method in Psychology, Sage. Yin, R. & (1998) The Abridged Version of Case Study Research: Design and Method. In: L. Bickman & D. J. Rog (Eds.), Handbook of Applied Social Research Methods. Thousand Oaks, California: Sage. pp 229 - 259. Yin, R. K (2014) Case Study Research: Design &Methods, 5th Ed, Sage. Yin, R. K. (2011) Applications of Case Study Research. 3rd Ed. London: Sage.
Views: 191377 Graham R Gibbs
SPSS: How To Enter, Code, And Analyze Multiple Choice Data
 
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0:08 Multiple choice item vs. Likert scale item 1:33 Multiple choice questions with one correct answer 3:27 Multiple choice questions with multiple correct answers 6:03 "Multiple response set" in SPSS 7:52 How to pronounce "Likert"? This video discusses how to best enter and code multiple choice type data in SPSS as well as how to analyze such data using descriptive stats and multiple response sets. Please LIKE this video if you enjoyed it. Otherwise, there is a thumb-down button, too... :P ▶ Please SUBSCRIBE to see new videos (almost) every week! ◀ ▼MY OTHER CHANNEL (MUSIC AND PIANO TUTORIALS)▼ https://www.youtube.com/ranywayz ▼MY SOCIAL MEDIA PAGES▼ https://www.facebook.com/ranywayz https://nl.linkedin.com/in/ranywayz https://www.twitter.com/ranywayz Animations are made with Sparkol. Music files retrieved from YouTube Audio Library. All images used in this video are free stock images or are available in the public domain. The views expressed in this video are my own and do not necessarily reflect the organizations with which I am affiliated. #SPSS #Statistics #DataEntry #RanywayzRandom
Views: 65071 Ranywayz Random
Confirmatory Factor Analysis - Part 1 (Psychology, Statistics, Research Methods)
 
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In intelligence research, personality research and other research fields of psychology, factor analytic models are used to structurize the variables' jungle. For example: To simplify the variable structure of a personality questionnaire several questions (items), that are supposed to measure the same construct are grouped to one (latent) factor (e.g. extraversion). But does this group of items really measure extraversion? Maybe some of the items "load" on a different factor. And Maybe other aspects of the model have flaws as well... How well a factor model fits the data can be examined by a confirmatory factor analysis. Keywords: Confirmatory Factor Analysis - Factor Analysis - Psychology - Statistics - Research Methods - Personality Psychology - Extraversion - Conscientiousness - Openness - Neuroticism - Agreeableness - Five Factor Model - Big Five - Intelligence - Carroll
Fundamentals of Qualitative Research Methods: Scientific Rigor (Module 6)
 
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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 6. Mays N, Pope C. Qualitative research: rigour and qualitative research. British Medical Journal 1995; 311:109-112. Barbour R. Checklists for improving rigour in qualitative research: a case for the tail wagging the dog? British Medical Journal 2001; 322:1115-1117. 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: 36460 YaleUniversity
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: 926099 Dr Nic's Maths and Stats