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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/
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: 175102 YaleUniversity
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: 105583 YaleUniversity
Data Analysis & Discussion
 
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This video is meant to be used as an introductory lesson to Mini Research Writing focusing on Data Analysis and Discussion. As this is a mini class project, some of the requirements have been made simple due to time constraints. Plus, the focus of this mini research paper is to get students familiarized to the ways of writing an academic paper and the items that needs to be included. suitable for beginners!
Views: 29858 NurLiyana Isa
Data Analyst Interview Questions and Answers - For Freshers and Experienced Candidates
 
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Learn most important Data Analyst Interview Questions and Answers, asked at every interview. These Interview questions will be useful to all entry level candidates, beginners, interns and experienced candidates interviewing for the role of Data Analyst across various domains like banking, financial, marketing, statistical etc. The examples and sample answers with each question will make it easier for candidates to understand these conceptual, situational and behavioral interview questions.
Views: 44411 CareerRide
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: 443018 Khan Academy
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: 174076 Jacqueline C
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: 21733 Interview Questions
Qualitative data analysis
 
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Views: 52371 Jeongeun Kim
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: 654015 Quantitative Specialists
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: 76183 Graham R Gibbs
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.
SPSS: How To Perform Quantitative Data Analyses For Bachelor's Research? 5 Basic Analysis Methods
 
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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. #RanywayzRandom #SPSS #Research
Views: 9898 Ranywayz Random
7 Secrets: Dissertation Research Questions
 
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In this segment of our popular 7 Secrets to Completing Your Dissertation in 1 Year webinar, Dr. Lani shares tips to constructing the best possible research questions for your dissertation. Dr. Lani briefly goes over SEM, HLM,Time Series and other quantitative analysis as he answers students' questions. Dr. Lani also goes over phenomenological, grounded theory and other qualitative approaches. SSP is now Intellectus Statistics Software. Intellectus Statistics™ software primarily serves the academic and research communities as a powerful statistical package that can be purchased via four distinct cloud based subscriptions. Learn more here: http://www.statisticssolutions.com/buy-intellectus/
Views: 1336 James Lani
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: 417191 CrashCourse
Analyzing and Presenting Open-Ended Questions
 
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Looks at how to present open-ended questions in a research paper.
Views: 8974 Robin Kay
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: 780836 Kent Löfgren
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: 68784 Ranywayz Random
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: 14886 Jacqueline C
Qualitative and Quantitative Data
 
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Quantitative Data vs Qualitative Data Additional Information on Qualitative vs Quantitative Data http://www.moomoomath.com/qualitative-and-quantitative-data.html Data can be divided into two groups called quantitative and qualitative data Quantitative data is numerical Qualitative Data id descriptive data Let’s look at examples of both Examples of quantitative data would be The number of pets, time of day, the temperature outside Quantitative data can be graphed If you count or measure, you are collecting quantitative data There are two types of quantitative data, discrete and continuous Discrete data is usually data you can count and continuous data is usually data you measure. I have a separate video on these two types of data. Qualitative is descriptive or observations and uses words For example, the color of a house, smell of a sock, texture of a shirt Quantitative or Qualitative Consider a cat Quantitative Data would be the cat has 4 legs and weighs 10 pounds Qualitative data would be the cat is yellow, and has soft fur A bookshelf Quantitative would be you have 50 books and is 150 centimeters tall. Qualitative data would be it is multi-color and has a smooth texture You may also enjoy.. Qualitative and Quantitative Data https://www.youtube.com/watch?v=2X-QSU6-hPU Quantitative Qualitative Song https://www.youtube.com/watch?v=-S2EiPD4-W0 -~-~~-~~~-~~-~- Please watch: "Study Skills Teacher's Secret Guide to your Best Grades" https://www.youtube.com/watch?v=f3bsg8gaSbw -~-~~-~~~-~~-~-
Views: 171912 MooMoo Math and Science
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)
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: 397629 Ann K. Emery
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: 90410 Analytics University
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: 120757 Kent Löfgren
Data Analysis in SPSS Made Easy
 
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Use simple data analysis techniques in SPSS to analyze survey questions.
Views: 866232 Claus Ebster
When To Use A Qualitative Research Design? 4 Things To Consider
 
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This video discusses when one should choose to use a qualitative research design. There are 4 things to consider: are you a terrible statistician? is your supervisor a qualitative or quantitative researcher? what do you know about qualitative data analysis? and is your research question exploratory?... My other research videos: Zhang, R. (2017). When to use a qualitative research design? Four things to consider. [Video File]. Retrieved from https://youtu.be/4FJPNStnTvA Zhang, R. (2017). What is a good Central Research Question? [Video File]. Retrieved from https://youtu.be/I4MfCDy7wDw Zhang, R. (2017). Research aim, research objective, research question, and investigative question. [Video File]. Retrieved from https://youtu.be/ujKIM59hy9I Zhang, R. (2016) Research Types, Research Designs, Data Collection, and Sampling. [Video File]. Retrieved from https://youtu.be/WY9j_t570LY 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: 14523 Ranywayz Random
Qualitative Data Collection
 
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Table of Contents: 00:00 - Qualitative Data Collection & Sampling Strategies 00:36 - How might you collect data for a qualitative study? 03:10 - Qualitative Interviews 07:34 - Tips for constructing interview questions 09:29 - Constructing good qualitative interview questions 15:22 - Tips for conducting effective interviews 19:42 - Focus groups 24:32 - Observation 28:01 - Documents 30:17 - Purposive sampling in qualitative research
Views: 24758 Molly Ott
Qualitative Data Analysis - Coding & Developing Themes
 
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This is a short practical guide to Qualitative Data Analysis
Views: 142638 James Woodall
Data Analyst Job Description | What 4 Skills Will You Need To Be A Data Analyst?
 
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In this video we are going to define the job description of a data analyst, what a data analyst does, and the best online course to become a data analyst. ► Full Playlist Explaining Data Jargon ( http://bit.ly/2mB4G0N ) ► Top 4 Best Laptops for Data Analysts ( https://youtu.be/Vtk50Um_yxA ) ► Break Into the Data Industry with the best data analytics online learning resources from Edureka! ( http://bit.ly/2yCbsac ) --- affiliate link to help support this channel!^ Currently the average pay for a data analyst is $76,419 on the button, according to glassdoor I receive a lot of questions about what it takes to become a data analyst and what is a data analyst. Clearing up what a data analyst does everyday and what that description means to someone looking to enter the data science industry What will you actually be asked to do on the day to day as a data analyst. ► Top 4 Responsibilities in the Daily Life of a Data Analyst: 1 ) Mathematics Although mathematics only makes up about 20% of the day to day life of a data analyst. It is still important to have a strong understanding of the foundations of mathematics. - Addition - Subtraction - Multiplication - Division - Most Importantly --- Statistics Data analytics is all about statistics. Most of the statistics will be handled by the tools you are working with, but in order to be a great data analyst it is best to know why the tools are producing specific results. A strong understanding of statistics will be useful to you. 2 ) Computer Programming You must be able to work proficiently in one or more computer programming languages. This make up for roughly 60%-70% of your daily work. in order to analyze data it must be queried (drawn) from a large data warehouse. You will use computer programming languages such as SQL, Python, and R to query data. Before we move on let me define the term Query, if it does not resonate with you. You need strong computer programming skills in order to accomplish this task. As a data analyst you will do a lot of drawing and analyzing data. ► For more info on databases, SQL, and other jargon check out our Video Series on Data Jargon ( https://www.youtube.com/playlist?list=PL_9qmWdi19yDhnzqVCAhA4ALqDoqjeUOr ) 3 ) Know the Tools of the Trade Once you query data from the database onto your workspace you will begin to utilize data analytics tools to process, scrub, and analyze data (data Jargon explained on our Video series ^^^). You will be able to perform these tasks by using tools like Hadoop, Open Refine, Tableau, Apache Spark, etc... As you process the data you will begin to see connections between the data sets. You will see some of the following errors and you will want to remove these in order to ensure that your data analysis is accurate: - Duplicated data - Improperly formatted data - Incomplete data - Inaccurate data - This data will corrupt your findings and could possibly lose you client or employer millions of dollars. Make sure you know how to use those data analytics tools WELL! 4 ) Communicate and Present Insights Data Analyst will also be called upon to clearly and consciously present your research to clients, managers, or executives. Ok, now I know you are curious if you are capable of learning all of these crucial skills. Yes, you can, but there is a clause. You have to learn from the best. The guys over at Edureka.co are the leading professionals in the big data training industry. Based out of India, home to over 101,000 individuals in the data science industry (at the time of this writing). They are eager to make a way for themselves in the new digital economy. They are on the cutting edge of data analytics and eager to teach it to anyone worldwide. Testimonies of increased salaries, new employment, and 597,089 (updated) satisfied learners make edureka the best choice to learn the skills you need in the data industry. Question is will you actually do it. Imagine deregulating yourself for the data industry. Right now, it is a black hole, you don't know what's inside, but it is screaming opportunity from the darkness. TURN ON THE LIGHT and break into the data industry. A future proof opportunity for the next decade and beyond. ► Edureka Big Data Masters Program ( http://bit.ly/2yCbsac ) affiliate link^ ------- SOCIAL Twitter ► @jobsinthefuture Facebook ►/jobsinthefuture Instagram ►@Jobsinthefuture WHERE I LEARN: (affiliate links) Lynda.com ► http://bit.ly/2rQB2u4 edX.org ► http://fxo.co/4y00 MY FAVORITE GEAR: (affiliate links) Camera ► http://amzn.to/2BWvE9o CamStand ► http://amzn.to/2BWsv9M Computer ► http://amzn.to/2zPeLvs Mouse ► http://amzn.to/2C0T9hq TubeBuddy ► https://www.tubebuddy.com/bengkaiser ► Download the Ultimate Guide Now! ( https://www.getdrip.com/forms/883303253/submissions/new ) Thanks for Supporting Our Channel!
Views: 127711 Ben G Kaiser
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: 88921 WaiterCareer247
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: 527494 Phil Chan
Introductory Qualitative Research Methods
 
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Do you have research questions that can't be answered with traditional statistical analyses or numbers? Do you have a burning desire to conduct focus groups or interviews with real people in the community instead of surveying the undergrad population? Do words like higher-order coding, thematic analysis and subjectivity sound cool yet daunting? If you answered yes to any of these questions, you may be interested in attending this webinar. In our presentation, we will provide an overview of how to conduct a qualitative research study, including data collection, data analysis, using software, and qualitative reporting. We will also compare quantitative versus qualitative research methods, discuss grounded theory, and demonstrate a practical way to conduct an interview/focus group, as well as transcribe and analyze a transcript all within the context of a community-based project. About the Presenters: Kashmala Qasim completed her undergraduate studies in Psychology from the University of Toronto and completed a Masters in Neuroscience from McMaster University. Kashmala has been a lecturer in the Department of Psychology at the Islamic Online University and has also received Level 1 Pastoral Counselling training from the University of Toronto. She is now pursuing a Ph.D. at York University in Social Psychology. Kashmala's research interests include Socio-cultural challenges faced by the Muslim community in accessing mental health care, coping mechanisms used by Syrian refugees and developing an Islamic model of psychotherapy. Alisha Salerno is a first year PhD student at York University. She has a strong research interest in the forensic implications of developmental disabilities, sexual assault and evidenced-based policing. Her program of research focuses on police response to developmental disability. Alisha is also the co-founder of Reach Toronto, a not-for-profit organization for youth and adults with developmental and intellectual disabilities.
Views: 371 SPSSI
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: 134437 Edifo
5 Steps to Pass Data Science Interviews
 
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Data Science is becoming more and more popular as a career choice since it offers both lucrative salaries and the opportunity to have high impact. The Data Science interview process is challenging, but with dedicated practice you can succeed. In this video, I'll outline the 7 steps to pass any Data Science Interview. We'll go over topics like studying techniques, portfolio optimization, and interviewing tips, all of which are prominent in the modern Data Science interview pipeline. I've listed all of the resources I've mentioned both in the video description and in the associated GitHub readme. Enjoy! Plan for this video: https://github.com/llSourcell/Data_Science_Interview_Guide Please Subscribe! And Like. And comment. Thats what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval instagram: https://www.instagram.com/sirajraval Facebook: https://www.facebook.com/sirajology Step 1 - Ask yourself "Why" Investor Insights for Inspiration https://thesyndicate.vc/the-top-5-startup-technology-angel-investing-and-venture-capital-podcasts-in-order/ Investors to follow on Twitter http://www.venturearchetypes.com/faq/Investors-On-Twitter-List.html Data Stories Podcasts http://datastori.es/ Step 2 - Create and Execute a Study Plan Learn Data Science in 3 Months https://www.youtube.com/watch?v=9rDhY1P3YLA Chromebook Data Science https://leanpub.com/universities/set/jhu/chromebook-data-science Open Source University https://github.com/ossu/data-science Practice Technical Interviews http://interviewing.io Use Flashcards https://www.brainscape.com/subjects/data-science Find a Mentor https://www.sharpestminds.com Step 3 - Build a Portfolio Design a resume + personal website https://www.youtube.com/watch?v=nMK94JlKRb4 And have 3 projects on Github, one should have a web presence Step 4 - Start Pitching for Jobs - https://www.angel.co - Ask friends on Social Media - https://www.ventureloop.com/ventureloop/job_search.php (VC Portfolio companies job listings) - https://news.ycombinator.com/ - Find recruiters using "site:linkedin.com quora technical recruiter" but replace quora with your company Scheduling tool https://calendly.com/sirajraval/ Step 5 - Complete the Interview Study Data Science Interview Questions on Glassdoor https://www.glassdoor.com/Interview/data-scientist-interview-questions-SRCH_KO0,14.htm ---------------- Join us at the School of AI: https://theschool.ai/ Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Please support me on Patreon: https://www.patreon.com/user?u=3191693 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w #DataScienceInterview #SirajRaval #MachineLearning Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 64844 Siraj Raval
1.3 Exploratory, Descriptive and Explanatory Nature Of Research
 
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If you are having troubles with your research paper, I might have a solution for you. My full course "Research Methods for Business Students" is available on Udemy. Here you can also submit YOUR questions to me and receive FEEDBACK ON YOUR PAPER! As you are my students, the course is only for 9.99 USD with following link: https://www.udemy.com/research-methods-for-business-students/?couponCode=RESEARCH_METHODS_1
Views: 118991 MeanThat
How to Know You Are Coding Correctly: Qualitative Research Methods
 
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Coding your qualitative data, whether that is interview transcripts, surveys, video, or photographs, is a subjective process. So how can you know when you are doing it well? We give you some basic tips.
Nominal, ordinal, interval and ratio data: How to Remember the differences
 
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Learn the difference between Nominal, ordinal, interval and ratio data. http://youstudynursing.com/ Research eBook on Amazon: http://amzn.to/1hB2eBd Check out the links below and SUBSCRIBE for more youtube.com/user/NurseKillam For help with Research - Get my eBook "Research terminology simplified: Paradigms, axiology, ontology, epistemology and methodology" here: http://www.amazon.com/dp/B00GLH8R9C Related Videos: http://www.youtube.com/playlist?list=PLs4oKIDq23AdTCF0xKCiARJaBaSrwP5P2 Connect with me on Facebook Page: https://www.facebook.com/NursesDeservePraise Twitter: @NurseKillam https://twitter.com/NurseKillam Facebook: https://www.facebook.com/laura.killam LinkedIn: http://ca.linkedin.com/in/laurakillam Quantitative researchers measure variables to answer their research question. The level of measurement that is used to measure a variable has a significant impact on the type of tests researchers can do with their data and therefore the conclusions they can come to. The higher the level of measurement the more statistical tests that can be run with the data. That is why it is best to use the highest level of measurement possible when collecting information. In this video nominal, ordinal, interval and ratio levels of data will be described in order from the lowest level to the highest level of measurement. By the end of this video you should be able to identify the level of measurement being used in a study. You will also be familiar with types of tests that can be done with each level. To remember these levels of measurement in order use the acronym NOIR or noir. The nominal level of measurement is the lowest level. Variables in a study are placed into mutually exclusive categories. Each category has a criteria that a variable either has or does not have. There is no natural order to these categories. The categories may be assigned numbers but the numbers have no meaning because they are simply labels. For example, if we categorize people by hair color people with brown hair do not have more or less of this characteristic than those with blonde hair. Nominal sounds like name so it is easy to remember that at a nominal level you are simply naming categories. Sometimes researchers refer to nominal data as categorical or qualitative because it is not numerical. Ordinal data is also considered categorical. The difference between nominal and ordinal data is that the categories have a natural order to them. You can remember that because ordinal sounds like order. While there is an order, it is also unknown how much distance is between each category. Values in an ordinal scale simply express an order. All nominal level tests can be run on ordinal data. Since there is an order to the categories the numbers assigned to each category can be compared in limited ways beyond nominal level tests. It is possible to say that members of one category have more of something than the members of a lower ranked category. However, you do not know how much more of that thing they have because the difference cannot be measured. To determine central tendency the categories can be placed in order and a median can now be calculated in addition to the mode. Since the distance between each category cannot be measured the types of statistical tests that can be used on this data are still quite limited. For example, the mean or average of ordinal data cannot be calculated because the difference between values on the scale is not known. Interval level data is ordered like ordinal data but the intervals between each value are known and equal. The zero point is arbitrary. Zero simply represents an additional point of measurement. For example, tests in school are interval level measurements of student knowledge. If you scored a zero on a math test it does not mean you have no knowledge. Yet, the difference between a 79 and 80 on the test is measurable and equal to the difference between an 80 and an 81. If you know that the word interval means space in between it makes remembering what makes this level of measurement different easy. Ratio measurement is the highest level possible for data. Like interval data, Ratio data is ordered, with known and measurable intervals between each value. What differentiates it from interval level data is that the zero is absolute. The zero occurs naturally and signifies the absence of the characteristic being measured. Remember that Ratio ends in an o therefore there is a zero. Typically this level of measurement is only possible with physical measurements like height, weight and length. Any statistical tests can be used with ratio level data as long as it fits with the study question and design.
Views: 342667 NurseKillam
Data Analysis Using Thematic Analysis
 
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In this video I summarise how I use thematic analysis in interpreting qualitative data
Views: 1732 Jesvir Mahil
How to write the problem statement in your research proposal, manuscript or thesis
 
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I am going to show you how to captivate your reader so your paper or proposal will be the absolute best. In this video I am going to talk about making the research problem clear. If you are watching this, you probably already know that you need a problem statement. But did you know that articulating your problem statement may actually be the most important step for justifying your research purpose? ~~~~ References Annersten, M., & Wredling, R. (2006). How to write a research proposal. European Diabetes Nursing, 3(2), 102-5. Colling, J. (2003). Demystifying nursing research. Demystifying nursing research: defining the problem to be studied. Urologic Nursing 23, no. 3: 225-226. Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches. Thousand Oaks, CA: Sage. LoBiondo-Wood, G., Haber, J., Cameron, C., & Singh, M.D. (2013). Nursing research in Canada: Methods, critical appraisal, and utilization (3rd Edition). Toronto, Canada: Mosby/Elsevier. Merrill, K. C. (2011). Developing an effective quantitative research proposal. Journal of Infusion Nursing, 34(3), 181-186. DOI: 10.1097/NAN.0b013e3182117204 Siedlecki, S. (2008). Making a difference through research. AORN Journal, 88(5), 716-6+. doi:10.1016/j.aorn.2008.07.023 ~~~~ Clearly articulating the gap in current knowledge logically leads the reader to how your study will contribute to existing knowledge. This gap is broken down in the background section by critiquing previous research, but you also need to make sure you explicitly outline the gap in a problem statement. Your goal is to make it clear enough that anyone will see the problem the way you do. Make sure you understand what the problem is before you start to write. In order to create a logical argument to study an issue you need to know what the problem is. Your problem should be interesting, clinically significant and feasible. If you aren’t sure what the problem is talk to people in the field because they are the best position to identify meaningful issues in need of study and ask important questions that will impact outcomes. If you pick a problem that aligns with the needs of an organisation or funding agency you are more likely to get funding. ... A general problem statement should be found in the introduction section of a paper. Tell the reader why the topic matters. This statement will lead to the background or literature review, which examines the scope and magnitude of the issue in more detail. The purpose of placing a problem statement in the introduction section of your paper is to catch the reader’s attention early. Your teacher may call this part of the paper or proposal the significance of the issue. ... Before you state the problem you should start by recapping what you just told the reader the current state of knowledge is about your topic within your discipline. Think of this sentence as the lead-in to the problem. Now comes the critical step of articulating the problem that your study will then help to solve. The actual problem statement serves as a clear transition from the literature review to the study purpose. Your purpose or research question will help to solve your problem. Therefore the problem statement and research purpose need to support each other. By the time the reader reaches your purpose they should already have an idea what it will be and know why it is an important. It is also helpful to state the consequences of either filling or not filling the gap in knowledge. If you establish the importance of the issue for your audience here your proposal will be more likely to get the attention of other researchers, key stakeholders or funding agencies. ... Articulating the problem statement is a difficult task. Like the purpose, you should revisit, critique and revise it several times throughout your proposal or paper writing process. Every time you make a decision about the study ask yourself if what you are doing helps to solve your problem and answer your question. ~~~~ http://youstudynursing.com/ Research eBook on Amazon: http://amzn.to/1hB2eBd Check out the links below and SUBSCRIBE for more youtube.com/user/NurseKillam For help with Research - Get my eBook "Research terminology simplified: Paradigms, axiology, ontology, epistemology and methodology" here: http://www.amazon.com/dp/B00GLH8R9C Related Videos: https://www.youtube.com/playlist?list=PLs4oKIDq23AcDWoE3fxbfd37_NXSEDq5w Connect with me on Facebook Page: https://www.facebook.com/youstudynursing https://www.facebook.com/NursesDeservePraise Twitter: @NurseKillam https://twitter.com/NurseKillam Facebook: https://www.facebook.com/laura.killam LinkedIn: http://ca.linkedin.com/in/laurakillam
Views: 75750 NurseKillam
5.3 Unstructured, Semi-Structured and Structured Interviews
 
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If you are having troubles with your research paper, I might have a solution for you. My full course "Research Methods for Business Students" is available on Udemy. Here you can also submit YOUR questions to me and receive FEEDBACK ON YOUR PAPER! As you are my students, the course is only for 9.99 USD with following link: https://www.udemy.com/research-methods-for-business-students/?couponCode=RESEARCH_METHODS_1
Views: 43380 MeanThat
How To Become A Data Analyst With UpGrad Mentors | Career Transition Tips | upGrad
 
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A data analyst is an individual who is responsible to gather, investigate and represent data and filter out useful information from it. How to become a Data Analyst is one of the most asked Career Transition Questions. Transitioning to the field of Data Analytics may not sound easy to do - given the nature of the career and how highly technical the domain is. But we, at UpGrad bring to you a plan that will make the transition in your career as smooth as possible. #DataAnalystCareer #StrategicDigitalMarketing #OnlineMarketing In the 3rd Data Analytics video of the UpGrad Careers-In-Shorts Series, Rohit Sharma, Director of the UpGrad and IIIT-Bangalore PG Diploma Program, explains here how you can make a transition (from various backgrounds) into Data Analytics. Whether you're a fresher or someone with a non-technical background; whether you already come from a technical background and just need some additional skills or even if you come with some consulting experience; this is the video for you. Click here, if you want to read a detailed content on Transitioning to Data Analytics: https://blog.upgrad.com/how-can-you-transition-to-data-analytics/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_Data&utm_content=YouTube_Video_Data_Transition_Data_Blog_Link Watch now and leave comments below in case you have any queries regarding the video or any other question related to your career in Data Analytics. For more information on our Program, visit this page now: https://upgrad.com/data-science/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_Data&utm_content=YouTube_Video_Data_Transition_Data_Program_Link upGrad is an online higher education platform providing rigorous industry-relevant programs designed and delivered in collaboration with world-class faculty and industry. Merging the latest technology, pedagogy, and services, upGrad is creating an immersive learning experience – anytime and anywhere. upGrad began in 2015 with the conviction that in an ever-changing industry, professionals need to continuously upskill themselves in order to stay relevant. upGrad has created some of India’s largest online programs to help thousands of professionals achieve their career goals in the areas of data, technology, and management. Stay on top of your industry by interacting with us on our social channels: Follow us on Instagram: https://instagram.com/upgrad_edu Like us on Facebook: https://www.facebook.com/UpGradGlobal Follow us on Twitter: https://www.twitter.com/upgrad_edu https://www.linkedin.com/company/ueducation/Joint Certificate from Cambridge Judge Business School Executive Education and upGrad‌
Views: 106554 upGrad
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: 800098 Dr Nic's Maths and Stats
Linguistic Data Analysis - The BNC Frequency Search
 
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This video clip is part of a new series of software-supported linguistic data analyses, in this particular case, the "frequency-of-occurrence" analysis of words in the British National Corpus. The central research question is to generate a list of the occurrences of word-forms derived from the base GENERAT(E).
Data Interpretation UGC NET Paper 1 - NTA UGC NET JRF Exam
 
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# Online registration for Paper 1 & Paper 2, visit our website https://www.bsiacademy.in/ # To know more about our Online Course, fee structure, enrollment procedure, demo lectures, FAQs- whatsApp us on 8319869527. # Join India's best online coaching for UGC NET Paper 1 & Paper 2. FOR PAPER 1 UGC NET--------- # Watch this video to know in detail about Online Course & enrollment process for paper 1- https://youtu.be/9s3OVNHfDhY FOR COMPUTER SCIENCE UGC NET--------- # Watch this video to know in detail about Online Course & enrollment process for Computer Science - https://youtu.be/SaU-Hybs-AA # Complete Playlist on Computer Science - https://www.youtube.com/playlist?list=PLba_31aXXh_Gl8i8AEFqC-ex0HD9N-v1I FOR LIBRARY & INFORMATION SCIENCE UGC NET--------- # Watch this video to know in detail about Online Course & enrollment process for Library & Information Science - https://youtu.be/DNE8HQ4U2ws # Complete Playlist on Library & Information Science - https://www.youtube.com/playlist?list=PLba_31aXXh_HAow1KOuKdmmGKaze4Lt0r FOR COMMERCE UGC NET------- # Watch this video to know in detail about Online Course & enrollment process for Commerce - https://youtu.be/P1hvnziYdW4 # Complete Playlist on Commerce - https://www.youtube.com/playlist?list=PLba_31aXXh_EYdvwPLb0_TCZrbSyh1FEv FOR MANAGEMENT UGC NET ------ # Watch this video to know in detail about Online Course & enrollment process for Management - https://youtu.be/TJSTfYJ-Oro # Complete Playlist on Management - https://www.youtube.com/playlist?list=PLba_31aXXh_Hslbc2wVwTMXQ4OJEigSVN FOLLOW US ON ------ # Whatsapp- In order to receives updates about UGC NET Paper 1 & Paper 2., Whatsapp your name, subject and city to 8319869527. # Facebook Page- https://www.facebook.com/bsiacademy16 # Youtube Channel - https://www.youtube.com/channel/UCc_vVhAgW5425BFp0mDuirw/ # Email us- [email protected] #netjrf #bsiacademy #ugcnetpaper1 #NTANET #ugcnet2019 #targetnet2019
Views: 245932 BSI Academy
NVivo Demonstration and Q&A: Simplifying Qualitative Data Analysis Process by Philip Adu, PhD.
 
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Do you plan to use NVivo to analyze your qualitative data? Do you have questions about using NVivo for analyzing your data? This Q&A session will mainly be addressing any questions you may have about NVivo and qualitative data analysis. To access the PowerPoint slides, please go to: https://www.slideshare.net/kontorphilip/analyzing-social-media-data-using-nvivo 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)
Developing a Quantitative Research Plan: Choosing a Research Design
 
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http://thedoctoraljourney.com/ Learn how to choose a research design for your quantitative research plan. For more statistics, research and SPSS tools, visit http://thedoctoraljourney.com/.
Views: 96848 The Doctoral Journey