- published: 19 May 2013
- views: 308162
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 ...
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.
This screen cast demonstrates the use of Microsoft Excel to organize information for qualitative research.
Erasure Coding for SUSE Enterprise Storage This ChalkTalk gives you a brief overview of how Erasure Coding works and why it’s important to your customers. Vivid imagery walks you through the opportunity: Erasure Coding as the next generation of RAID that gives customers redundancy far beyond RAID’s one- or two-failure model...but at a fraction of the price. With erasure coding, customers can finely tune a balance between the cost of storing data against the need for data resiliency and availability, based on each business’s unique needs.
This screen cast will guide you through using AppGini to create a database web-application from scratch. In a few minutes, we'll create a simple product catalog, set it up and see it in action. 00:07 If you are looking for a way to make a user-friendly, fast and feature-rich web application in a very short time, that's when AppGini comes handy. This tutorial shows you how to create a web application in 5 minutes using AppGini. 00:21 First we'll start a new project. Let's give it a name: in our example we'll name it "product catalog". 00:31 Then we'll add two tables one for "categories" and another one for "items". 00:37 You can assign an icon for each table by clicking on the box at the left of the table name. 00:48 Next, we'll add fields to each table. Each table MUST contain a prima...
Part 1 in a in-depth hands-on series of videos introducing the viewer to Data Science using R. The video series illustrates the complete Data Mining project lifecycle via Kaggle's Titanic 101 competition. All source code from videos are available from GitHub at: https://github.com/EasyD/IntroToDataScience. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo.
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, biv...
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
Ann K. Emery Expertise: Data Analysis & Visualization Services: Workshops, Webinars, Research Consulting Additional Video Tutorials: http://annkemery.com/analysis/ Upcoming Webinars and Workshops: http://annkemery.com/events/ Blog: http://annkemery.com/blog/ Twitter: https://twitter.com/annkemery
Veloxsites star developer, Danielle, gets into it this afternoon in Toronto. We're constantly monitoring and improving our website functions to ensure we deliver the best possible product. White label responsive sites that help digital service providers acquire, retain, and grow SMB customers. We help you turn SMB customer data into profitable recurring revenue. http://veloxsites.com http://blog.veloxsites.com
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
This introduction to Data Science provides a demonstration of analyzing customer data to predict churn using the R programming language. MetaScale walks through the stops necessary to train and test multiple algorithms in order to provide the most accurate model for predicting when a customer will leave the company.
Southern States were looking to understand what they could do as an organization to create more loyal customers. Alteryx enables them to build predictive models and explore their data with drag-and-drop tools instead of coding." "...most people don't need to be writing code here in the 21st century, especially people who are integrated into the business."