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Fundamentals of Qualitative Research Methods: Developing a Qualitative Research Question (Module 2)
 
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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 2. 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: 85909 YaleUniversity
Data Analysis Interview Questions And Answers
 
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Interview for Data Analysis.What is data analysis?What you know about interquartile range as data analyst?Do you know what is data analysis?What is long-term outcome in data analysis?What is medium-term outcome in data analysis?
Views: 14303 Interview Questions
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: 145520 YaleUniversity
3 Correlational Analysis - Writing Research Questions
 
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The correlational analysis video series is available for FREE as an iTune book for download on the iPad. The ISBN is 978-1-62847-042-6. The title is "Correlational Analysis". Waller and Lumadue are the authors. The iTune text provides accompanying narrative and the SPSS readouts used in the video series. The book can be accessed at: https://itunes.apple.com/us/book/correlational-analysis/id656763624?ls=1 This video examines the process for writing research questions for correlational analysis. Emphasis is also given to writing hypotheses and aligning questions, hypotheses, and methodology.
Views: 3601 Lee Rusty Waller
Coding Multiple Variables and Open-ended Questions. Part 2 of 3 on Quantitative Coding
 
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A lecture on coding and data entry in quantitative research by Graham R Gibbs taken from a series on quantitative data analysis and statistics given to undergraduate students at the University of Huddersfield. This is part 2 of 3 and examines how to deal with questions with more than one answer and questions with open-ended answers. Credits: Music: Kölderen Polka by Tres Tristes Tangos is licensed under an Attribution-ShareAlike 3.0 International License. http://freemusicarchive.org/music/Tres_Tristes_Tangos/ Image: Ice-ferns by Schnobby, Wikimedia Commons, licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
Views: 71282 Graham R Gibbs
Part 1 - Using Excel for Open-ended Question Data Analysis
 
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Completing data analysis on open-ended questions using Excel. For analyzing multiple responses to an open-ended question see Part 2: https://youtu.be/J_whxIVjNiY Note: Selecting "HD" in the video settings (click on the "gear" icon) makes it easier to view the data entries
Views: 155027 Jacqueline C
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: 666389 Kent Löfgren
FAQ Answers -1 : Analytics Interview Q&A Discussion | Data Science
 
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In this video I shall discuss ten important and basic interview questions asked in technical round of Analytics or Data Science interviews. In data science interview you will get questions from probability, statistics to machine learning and deep learning and also questions from SAS and R. You will also get questions on big data tools and programming. Contact : [email protected] ANalytics Study Pack : http://analyticsuniversity.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: 75981 Analytics University
Research Questions Hypothesis and Variables
 
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This lesson discusses the relationships of research questions, hypothesis, and variables in a research study proposal. Dr. Wallace is an Associate Professor of Criminal Justice at American Military University.
Views: 158091 Ron Wallace
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/
Using Archival Data to Address Research Questions
 
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In certain cases, using existing publicly available datasets (e.g., census data) is appropriate and/or necessary to address a research question. This presentation focuses on where to obtain such datasets and examples of when it is appropriate to use them.
Developing a Quantitative Research Plan: Research Questions
 
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http://thedoctoraljourney.com/ This tutorial focuses on the development of research questions. For more statistics, research and SPSS tools, visit http://thedoctoraljourney.com/.
Views: 8287 The Doctoral Journey
How to enter survey data into Excel from a pen-and-paper questionnaire
 
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I show my technique of entering raw data into Microsoft Excel that has been collected via a pen-and-paper survey. This includes both questions with fixed responses and open-ended questions. Copyright: Text and video © Kent Löfgren, Sweden.
Views: 87817 Kent Löfgren
Data analyst interview questions and answers pdf ebook
 
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BEST MATERIALS FOR DATA ANALYST JOB INTERVIEW: 1. Interview questions and answers ebook: http://jobinterview247.com/free-ebook-177-interview-questions-with-best-answers 2. Top 10 interview secrets to win every job interview: http://interviewquestionsaz.blogspot.com/2013/07/top-10-secrets-to-win-every-job.html 3. Download free pdf ebook: Top 14 common mistakes in job interviews http://interviewquestionsaz.blogspot.com/2013/07/top-12-common-mistakes-in-job-interviews.html Checklist for YOUR JOB INTERVIEW: + How to answer behavioral interview questions or competency based interview questions + Dress code for Data analyst interview + Interview thank you letter samples for Data analyst positions + Data analyst interview case studies + Data analyst interview follow up questions + Data analyst interview preparation tips + Data analyst interview strengths and weaknesses + Data analyst interview tell me about yourself? + Data analyst interview process + Data analyst interview closing questions + Data analyst phone interview + Data analyst second interview + Data analyst situational interview + Data analyst group interview etc Job positions related: Data analyst assistant, Data analyst administrator, Data analyst associate, Data analyst clerk, Data analyst coordinator, Data analyst director, Data analyst executive, Data analyst team leader, Data analyst officer, Data analyst supervisor, Data analyst specialist, Data analyst consultant, Data analyst head, Data analyst engineer, Data analyst representative etc Will update to: 2018, 2019, 2020 …
Views: 85784 WaiterCareer247
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: 315415 CrashCourse
Question types & piloting. Part 1 of 3 on Questionnaire Design
 
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A lecture on Questionnaire Design by Graham R Gibbs taken from a series on research methods and research design given to masters (graduate) students at the University of Huddersfield. This is part 1 of three, and examines what kind of data can be gathered by questionnaires, the types of questions that can be used (especially open vs. closed questions) and the role of piloting the design.
Views: 45151 Graham R Gibbs
Keeping Track of  Qualitative Research Data using Excel
 
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This screen cast demonstrates the use of Microsoft Excel to organize information for qualitative research.
Views: 35611 tamuwritingcenter
Data Analysis in SPSS Made Easy
 
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Use simple data analysis techniques in SPSS to analyze survey questions.
Views: 790397 Claus Ebster
Excel and Questionnaires: How to enter the data and create the charts
 
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This is a tutorial on how to enter the results of your questionnaires in Excel 2010. It then shows you how to create frequency tables (using the countif function not the frequency function). The next stage is creating charts.
Views: 345718 Deirdre Macnamara
Statistical questions | Data and statistics | 6th grade | Khan Academy
 
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What makes a question a "statistical question"? Practice this lesson yourself on KhanAcademy.org right now: https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/cc-6-statistical-questions/e/statistical-questions?utm_source=YT&utm_medium=Desc&utm_campaign=6thgrade Watch the next lesson: https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/histograms/v/histograms-intro?utm_source=YT&utm_medium=Desc&utm_campaign=6thgrade Missed the previous lesson? https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/dot-plot/v/frequency-tables-and-dot-plots?utm_source=YT&utm_medium=Desc&utm_campaign=6thgrade Grade 6th on Khan Academy: By the 6th grade, you're becoming a sophisticated mathemagician. You'll be able to add, subtract, multiply, and divide any non-negative numbers (including decimals and fractions) that any grumpy ogre throws at you. Mind-blowing ideas like exponents (you saw these briefly in the 5th grade), ratios, percents, negative numbers, and variable expressions will start being in your comfort zone. Most importantly, the algebraic side of mathematics is a whole new kind of fun! And if that is not enough, we are going to continue with our understanding of ideas like the coordinate plane (from 5th grade) and area while beginning to derive meaning from data! (Content was selected for this grade level based on a typical curriculum in the United States.) About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to Khan Academy‰Ûªs 6th grade channel: https://www.youtube.com/channel/UCnif494Ay2S-PuYlDVrOwYQ?sub_confirmation=1 Subscribe to Khan Academy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 428661 Khan Academy
SPSS for questionnaire analysis:  Correlation analysis
 
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Basic introduction to correlation - how to interpret correlation coefficient, and how to chose the right type of correlation measure for your situation. 0:00 Introduction to bivariate correlation 2:20 Why does SPSS provide more than one measure for correlation? 3:26 Example 1: Pearson correlation 7:54 Example 2: Spearman (rhp), Kendall's tau-b 15:26 Example 3: correlation matrix I could make this video real quick and just show you Pearson's correlation coefficient, which is commonly taught in a introductory stats course. However, the Pearson's correlation IS NOT always applicable as it depends on whether your data satisfies certain conditions. So to do correlation analysis, it's better I bring together all the types of measures of correlation given in SPSS in one presentation. Watch correlation and regression: https://youtu.be/tDxeR6JT6nM ------------------------- Correlation of 2 rodinal variables, non monotonic This question has been asked a few times, so I will make a video on it. But to answer your question, monotonic means in one direction. I suggest you plot the 2 variables and you'll see whether or not there is a monotonic relationship there. If there is a little non-monotonic relationship then Spearman is still fine. Remember we are measuring the TENDENCY for the 2 variables to move up-up/down-down/up-down together. If you have strong non-monotonic shape in the plot ie. a curve then you could abandon correlation and do a chi-square test of association - this is the "correlation" for qualitative variables. And since your 2 variables are ordinal, they are qualitative. Good luck
Views: 494547 Phil Chan
Interview with a Data Scientist
 
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This video is part of the Udacity course "Intro to Programming". Watch the full course at https://www.udacity.com/course/ud000
Views: 281529 Udacity
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: 688875 ChrisFlipp
How to do a research interview
 
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After a short introduction looking at Steinar Kvale's 10 criteria of a good interviewer, this video examines two interviews: one a short and rather poor attempt, the other a longer and much improved version. It is designed to help anyone learning how to undertake research interviews in the social sciences. In addition to the references mentioned in the video you might be interested in this text by colleagues of mine: King, N., & Horrocks, C. (2010). Interviews in Qualitative Research. London: Sage.
Views: 177239 Graham R Gibbs
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
Qualitative Data Analysis - Coding & Developing Themes
 
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This is a short practical guide to Qualitative Data Analysis
Views: 97305 James Woodall
The Coding Data Matrix and Variable Types. Part 1 of 3 on Quantitative Coding and Data Entry
 
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A lecture on coding and data entry in quantitative research by Graham R Gibbs taken from a series on quantitative data analysis and statistics given to undergraduate students at the University of Huddersfield. This is part 1 of 3 and covers the basic principles of coding quantitative data from questionnaires and the types of variables that can be used. Credits: Music: Kölderen Polka by Tres Tristes Tangos is licensed under an Attribution-ShareAlike 3.0 International License. http://freemusicarchive.org/music/Tres_Tristes_Tangos/ Image: Ice-ferns by Schnobby, Wikimedia Commons, licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
Views: 17163 Graham R Gibbs
SPSS Questionnaire/Survey Data Entry - Part 1
 
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How to enter and analyze questionnaire (survey) data in SPSS is illustrated in this video. Lots more Questionnaire/Survey & SPSS Videos here: https://www.udemy.com/survey-data/?couponCode=SurveyLikertVideosYT Check out our next text, 'SPSS Cheat Sheet,' here: http://goo.gl/b8sRHa. Prime and ‘Unlimited’ members, get our text for free. (Only 4.99 otherwise, but likely to increase soon.) Survey data Survey data entry Questionnaire data entry Channel Description: https://www.youtube.com/user/statisticsinstructor For step by step help with statistics, with a focus on SPSS. Both descriptive and inferential statistics covered. For descriptive statistics, topics covered include: mean, median, and mode in spss, standard deviation and variance in spss, bar charts in spss, histograms in spss, bivariate scatterplots in spss, stem and leaf plots in spss, frequency distribution tables in spss, creating labels in spss, sorting variables in spss, inserting variables in spss, inserting rows in spss, and modifying default options in spss. For inferential statistics, topics covered include: t tests in spss, anova in spss, correlation in spss, regression in spss, chi square in spss, and MANOVA in spss. New videos regularly posted. Subscribe today! YouTube Channel: https://www.youtube.com/user/statisticsinstructor Video Transcript: In this video we'll take a look at how to enter questionnaire or survey data into SPSS and this is something that a lot of people have questions with so it's important to make sure when you're working with SPSS in particular when you're entering data from a survey that you know how to do. Let's go ahead and take a few moments to look at that. And here you see on the right-hand side of your screen I have a questionnaire, a very short sample questionnaire that I want to enter into SPSS so we're going to create a data file and in this questionnaire here I've made a few modifications. I've underlined some variable names here and I'll talk about that more in a minute and I also put numbers in parentheses to the right of these different names and I'll also explain that as well. Now normally when someone sees this survey we wouldn't have gender underlined for example nor would we have these numbers to the right of male and female. So that's just for us, to help better understand how to enter these data. So let's go ahead and get started here. In SPSS the first thing we need to do is every time we have a possible answer such as male or female we need to create a variable in SPSS that will hold those different answers. So our first variable needs to be gender and that's why that's underlined there just to assist us as we're doing this. So we want to make sure we're in the Variable View tab and then in the first row here under Name we want to type gender and then press ENTER and that creates the variable gender. Now notice here I have two options: male and female. So when people respond or circle or check here that they're male, I need to enter into SPSS some number to indicate that. So we always want to enter numbers whenever possible into SPSS because SPSS for the vast majority of analyses performs statistical analyses on numbers not on words. So I wouldn't want and enter male, female, and so forth. I want to enter one's, two's and so on. So notice here I just arbitrarily decided males get a 1 and females get a 2. It could have been the other way around but since male was the first name listed I went and gave that 1 and then for females I gave a 2. So what we want to do in our data file here is go head and go to Values, this column, click on the None cell, notice these three dots appear they're called an ellipsis, click on that and then our first value notice here 1 is male so Value of 1 and then type Label Male and then click Add. And then our second value of 2 is for females so go ahead and enter 2 for Value and then Female, click Add and then we're done with that you want to see both of them down here and that looks good so click OK. Now those labels are in here and I'll show you how that works when we enter some numbers in a minute. OK next we have ethnicity so I'm going to call this variable ethnicity. So go ahead and type that in press ENTER and then we're going to the same thing we're going to create value labels here so 1 is African-American, 2 is Asian-American, and so on. And I'll just do that very quickly so going to Values column, click on the ellipsis. For 1 we have African American, for 2 Asian American, 3 is Caucasian, and just so you can see that here 3 is Caucasian, 4 is Hispanic, and other is 5, so let's go ahead and finish that. Four is Hispanic, 5 is other, so let's go to do that 5 is other. OK and that's it for that variable. Now we do have it says please state I'll talk about that next that's important when they can enter text we have to handle that differently.
Views: 456729 Quantitative Specialists
RESEARCH PROCESS BY SHAYA'A OTHMAN
 
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RESEARCH PROCESS : [1] Formulating of Research Question [2] Research Proposal [3] Research Design [4] Data Collection & Preparation [5] Data Analysis & Interpretation [6] Research Reporting
Views: 656 shayaaothman1
Analyzing and Presenting Open-Ended Questions
 
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Looks at how to present open-ended questions in a research paper.
Views: 7476 Robin Kay
What is EMPIRICAL RESEARCH? What does EMPIRICAL RESEARCH mean? EMPIRICAL RESEARCH definition
 
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What is EMPIRICAL RESEARCH? What does EMPIRICAL RESEARCH mean? EMPIRICAL RESEARCH meaning - EMPIRICAL RESEARCH definition - EMPIRICAL RESEARCH explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. Empirical research is research using empirical evidence. It is a way of gaining knowledge by means of direct and indirect observation or experience. Empiricism values such research more than other kinds. Empirical evidence (the record of one's direct observations or experiences) can be analyzed quantitatively or qualitatively. Through quantifying the evidence or making sense of it in qualitative form, a researcher can answer empirical questions, which should be clearly defined and answerable with the evidence collected (usually called data). Research design varies by field and by the question being investigated. Many researchers combine qualitative and quantitative forms of analysis to better answer questions which cannot be studied in laboratory settings, particularly in the social sciences and in education. In some fields, quantitative research may begin with a research question (e.g., "Does listening to vocal music during the learning of a word list have an effect on later memory for these words?") which is tested through experimentation. Usually, a researcher has a certain theory regarding the topic under investigation. Based on this theory some statements, or hypotheses, will be proposed (e.g., "Listening to vocal music has a negative effect on learning a word list."). From these hypotheses predictions about specific events are derived (e.g., "People who study a word list while listening to vocal music will remember fewer words on a later memory test than people who study a word list in silence."). These predictions can then be tested with a suitable experiment. Depending on the outcomes of the experiment, the theory on which the hypotheses and predictions were based will be supported or not, or may need to be modified and then subjected to further testing.
Views: 21937 The Audiopedia
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 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
Views: 192985 Examrace
Part 2: Using Excel for Open-ended Question Data Analysis
 
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This is Part 2 of Using Excel for Open-ended Question Data Analysis and addresses the question posted by several viewers - how to analyze multiple responses in open-ended questions. Part 1 is available here: https://www.youtube.com/watch?v=yWBXV651yd4
Views: 12139 Jacqueline C
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
Views: 41035 Ranywayz Random
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: 678485 Dr Nic's Maths and Stats
How to analyze a case study?
 
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This presentation describes an approach to analyze a case study - especially case studies from management discipline. Dr. Pradeep Racherla, Program Director & Associate Professor Marketing, Woxsen School of Business, elucidates different components of a case study and offers a framework to analyze a case study.
Views: 164945 Sanjay
Grounded Theory - Core Elements. Part 1
 
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In this two part video, Graham R Gibbs introduces the idea of developing grounded theory and discusses some of the core elements of the approach to qualitative data analysis. See: Gibbs, Graham Robert. (2012) 'Grounded theory, coding and computer-assisted analysis'. In S. Becker, A. Bryman & H. Ferguson (eds.), Understanding Research for Social Policy and Social Work: Themes, Methods and Approaches. 2nd edn. Bristol: Policy Press. pp. 337-343. 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: 105977 Graham R Gibbs
5 Basic (SPSS) Quantitative Data Analyses For Bachelor's Research
 
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1. Descriptives: 1:32 2. T test: 2:52 3. Correlation: 4:41 4. Chi square: 5:39 5. Linear regression: 6:45 This video discusses the basic statistical analytical procedures that are required for a typical bachelor's thesis. Five stats are highlighted here: descriptives, T test, correlation, Chi square, and linear regression. For requirements on reporting stats, please refer to the appendix of your research module manuals -- Frans Swint and I wrote an instructional text on APA reporting of stats. There is no upper limit in terms of how advanced your stats should be in your bachelor's dissertation. This video covers the basic procedures and is not meant to replace the instructions of your own research supervisor. Please consult your own research advisor for specific questions regarding your data analyses. Please LIKE this video if you enjoyed it. Otherwise, there is a thumb-down button, too... :P ▶ Please SUBSCRIBE to see new videos (almost) every week! ◀ ▼MY OTHER CHANNEL (MUSIC AND PIANO TUTORIALS)▼ https://www.youtube.com/ranywayz ▼MY SOCIAL MEDIA PAGES▼ https://www.facebook.com/ranywayz https://nl.linkedin.com/in/ranywayz https://www.twitter.com/ranywayz Animations are made with Sparkol. Music files retrieved from YouTube Audio Library. All images used in this video are free stock images or are available in the public domain. The views expressed in this video are my own and do not necessarily reflect the organizations with which I am affiliated.
Views: 3101 Ranywayz Random
Quantitative RM, Hypothesis & Research Question (SWE)
 
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Subject: Social Work Education Paper:Research Methods and Statistics Module:Quantitative RM, Hypothesis & Research Question Content Writer: Ms. Neeta Goel
Views: 629 Vidya-mitra
Research Project: Data Analysis in SPSS
 
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Research Project: Data Analysis in SPSS
Thematic analysis
 
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Thematic analysis is the most common form of analysis in qualitative research. It emphasizes pinpointing, examining, and recording patterns within data. Themes are patterns across data sets that are important to the description of a phenomenon and are associated to a specific research question. The themes become the categories for analysis. Thematic analysis is performed through the process of coding in six phases to create established, meaningful patterns. These phases are: familiarization with data, generating initial codes, searching for themes among codes, reviewing themes, defining and naming themes, and producing the final report. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 14539 Audiopedia
How to Analyze Satisfaction Survey Data in Excel with Countif
 
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Purchase the spreadsheet (formulas included!) that's used in this tutorial for $5: https://gum.co/satisfactionsurvey ----- Soar beyond the dusty shelf report with my free 7-day course: https://depictdatastudio.teachable.com/p/soar-beyond-the-dusty-shelf-report-in-7-days/ Most "professional" reports are too long, dense, and jargony. Transform your reports with my course. You'll never look at reports the same way again.
Views: 345805 Ann K. Emery
Coding Qualitative Data
 
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At the end of the module the learner will be expected to be able to: •Discuss the key assumptions of qualitative research and the measurement of empirical phenomena •Describe and evaluate a range of qualitative techniques suitable utilised in applied research •Evaluate the validity, reliability and ethical implications of specific qualitative research strategies •Select appropriate quantitative techniques for particular research questions This session has been developed through the Learning from WOeRK project at Plymouth University and seeks to support learning in the work place. For an overview of all related modules and resources please visit http://cpdoer.net/collections/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 2.0 UK: England & Wales License
Views: 72985 LearningFromWOeRK
Interviewing with McKinsey: Case study interview
 
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Learn what to expect during the case study interview. Hear what some recent hires did - and did not - do to prepare.
Views: 545303 McKinsey & Company
Data Interpretation Basics by Dinesh Miglani
 
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FOR BUYING WHOLE PENDRIVE COURSE IN HINDI & ENGLISH MEDIUM CALL ....09215514435...... FOR SSC / IBPS / CAT / CLAT /IPM /NTSE/ GENERAL MATHS & ENGLISH IMPROVEMENT COURSE AT A VERY AFFORDABLE PRICE. For Price details click : http://dineshmiglanitutorials.blogspot.in/ - NON COPIABLE PENDRIVE WITH HD QUALITY - NO EXPIRY NO TIME LIMIT - WHOLE COURSE OF MATHS REASONING ENGLISH AVAILABLE IN HINDI & ENGLISH MEDIUM - ALL VIDEOS BY EXPERT TEACHER DINESH MIGLANI SIR AND HIS TEAM - NO NEED OF ANY INTERNET CONNECTIVITY - PENDRIVE CAN BE USED ON ANY LAPTOP OR COMPUTER This video consists of DATA INTERPRETATION which is a part of MATHEMATICS. A very helpful and must watch video for SSC CGL SSC CHSL GOVERNMENT JOB CAT ELITMUS AFCAT ASPIRANTS as it contains the QUESTIONS as well short cuts & Tricks along with appropriate examples and discussion on previous year papers questions. In this video tricks are given for how to solve questions of DATA INTERPRETATION which are generally missing in books. This session is delivered by MR DINESH MIGLANI who has vast experience of teaching MATHEMATICS, REASONING & ENGLISH to Government Job Aspirants. Mr. Miglani has a unique trick of clarifying concepts as well as provide essential Shortcut and trick where it is required. This videos is also helpful for students who preparing for SSC CGL SSC CHSL GOVERNMENT JOB CAT ELITMUS AFCAT students where MATHEMATICS is a part of their course. For watching all videos in proper course & sequence for preparation of SSC CGL, IBPS, GOVERNEMENT JOBS, CAT, MBA, CLAT, IPM, HM You may login FREE OF COST to http://www.dineshmiglani.com/ For buying FULL COURSE for SSC , CAT, CLAT, IPM,NTSE, ELITMUS : CONTACT Mr. Dinesh Miglani at 09215514435 or [email protected] DINESH MIGLANI TUTORIALS is an initiative to assist students who cannot afford costly coaching or require some more time to understand the concept taught in huge size class rooms. Students who are preparing for Government Jobs SSC, Banking, IBPS, SBI, Clerical, Probationary Officer, PO, RRB, Railways, Apprentice, LIC, FCI, Army, Airforce, AFCAT, NDA, CDS, MBA Entrance Exams , CAT, XAT , IIFT, IRMA, NMAT, MHCET, CMAT, MAT, ATMA, BBA, CLAT, LSAT, HOTEL MANAGEMENT, NTSE, OLYMPIADS, MCA, NIMCET, HTET, CTET , IIT, JEE have access to Qualitative and Comprehensive Video Sessions of Expert and Renowned Faculties on Quantitative Aptitude ( Maths), Reasoning ( Verbal and Nonverbal), English ( Grammar, Vocabulary, Comprehension etc ) General Knowledge, Data Interpretation, Data Analysis, Data Sufficiency, Current Affairs FREE OF COST on this channel. CONCEPT OF DATA INTERPRETATION I PROBLEM BASED DATA INTERPRETATION FOR SSC CGL I PROBLEM BASED ON DATA INTERPRETATION PROBLEMS FOR SSC CGL CHSL I PROBLEM BASED ON DATA INTERPRETATION I SHORTCUTS & TRICKS OF DATA INTERPRETATION I PROBLEMS BY DINESH MIGLANI SIR I PRACTICE SESSION PROBLEM BASED ON DATA INTERPRETATION I PREVIOUS YEAR QUESTIONS ON DATA INTERPRETATION PROBLEMS I PROBLEMS ON DATA INTERPRETATION FOR CAT MBA
Views: 265108 Dinesh Miglani Tutorials
SAS -- Answering big questions with powerful big data analytics
 
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To help its customers turn reams of big data into valuable insight, SAS relies on a rock-solid infrastructure that includes Lenovo ThinkSystem servers to support its operational systems, and cutting-edge research and development environments.
Views: 306 Lenovo Data Center
Enter data from a questionnaire, Ex 4: Ranked response
 
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Enter and define variables from a questionnaire in SPSS. This example looks at a question in which participants rank a list of items. ASK SPSS Tutorial Series
Views: 57682 BrunelASK
How to analyze open ended questions of surveys with QDA Miner and Wor
 
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Learn how to analyze open-ended questions of surveys using text analytics tools
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: 190416 YaleUniversity

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