• Coding Qualitative Data

    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: Eng...

    published: 28 Sep 2011
  • Qualitative analysis of interview data: A step-by-step guide

    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 ...

    published: 19 May 2013
  • Excel and Questionnaires: How to enter the data and create the charts

    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.

    published: 14 Feb 2013
  • Zafar Abbas Data Coder

    Zafar Abbas Data Coder CMP Lahore

    published: 19 Sep 2009
  • Coding Part 1: Alan Bryman's 4 Stages of qualitative analysis

    An overview of the process of qualitative data analysis based on Alan Bryman's four stages of analysis. Reference Bryman, A (2001) Social Research Methods, Oxford: Oxford University Press

    published: 25 Oct 2011
  • Coding Part 2: Thematic coding

    Thematic coding is one of the most common forms of qualitative data analysis and it is found in grounded theory, several forms of phenomenological analysis and framework analysis. The analyst tries to identify themes, categories or classifications of the data. Passages of the data (commonly an interview transcript) are coded to the themes - that is the passages are tagged or marked with the name of the theme.

    published: 25 Oct 2011
  • Coding Interview Problem: Permutation Generator

    Follow along as we dive into the problem of creating a permutation generator using C++. We'll walk through an efficient, in-place solution that leverages lexicographic ordering and incrementation. A full text version of the code is available here: http://jg.gg/permutation-generator-coding-interview-question/

    published: 26 May 2016
  • Slacking while Coding | Coder Radio 187

    Is the age of Apps finally coming to an end? Data points to yes & we discuss how platforms like Slack might offer more potential. Then, more web developers are switching to Linux, is this the start of a trend? Plus what caught our attention in the new iOS release, and interesting projects Google has in store for 2016. Show Notes & Download: http://bit.ly/coder187

    published: 11 Jan 2016
  • coding open-ended questions made easy with smart.coder

    This tutorial shows how to automatically code answers to open-ended questions with smart.coder. Code open-ended questions at http://www.smartcoder.at/

    published: 04 May 2013
  • Ascribe Coder Walk Thru 01 29 2015

    This is a general overview of Ascribe Coder. Ascribe Coder is a web-based text mining and text coding management solution that allows users to categorize unstructured data, specifically text data, with ease and precision. Ascribe Coder’s best-in-class technology provides an environment to code and analyze mass amounts of textual content with the detail needed to make informed business decisions. This is why the world’s largest research organizations use Ascribe Coder – it puts high-quality results in the client’s hands faster, at lower costs, for a better experience. http://goascribe.com/

    published: 17 Feb 2016
  • 2016 New Coder Survey: Data Science

    We're busy people who learn to code, then practice by building projects for nonprofits. Learn Full-stack JavaScript, build a portfolio, and get great references with our open source community. Join our community at http://freecodecamp.com Notes: - The GitHub repo: https://github.com/FreeCodeCamp/2016-new-coder-survey - The Stack Overflow survey: http://stackoverflow.com/research/developer-survey-2016 - Our goal: to collaborate on D3 visualizations that answer the 20 specific questions we've asked in GitHub issues by midnight EST May 8 - Then, after we've shipped the website with the 20 D3 visualizations answering our questions, we can consider building additional data tools like a DC.js sandbox.

    published: 30 Apr 2016
  • Ascribe Coder

    Understand the meaning of unstructured text comments as if they were being spoken directly to you. Ascribe Coder™ delivers a text coding and text mining management system that is flexible enough to adapt to any client requirement, yet powerful enough to quickly manage any sized projects in multiple languages. Ascribe Coder’s success is predicated on its ability as an open source platform. The software can import and export customer data across virtually any data platform including social media sentiment analysis data. http://goascribe.com/

    published: 12 Feb 2016
  • Ordinal data: Krippendorff alpha inter-rater reliability test

    How to use a statistical test (Krippendorff alpha) to check the reliability of a variable with ordinal data, using a Windows PC and SPSS. Six observers have rated 30 student. The question was “How would you rate this individual student?” 1 = Excellent 2 = Above Average 3 = Average 4 = Below Average Here, I have six judges and no missing data. However, this statistical test can be used with any number of judges and with or without missing data. In SPSS, click File, Open, Syntax, and open the macro “kalpha.sps”. If you do not have this special file, please see my previous video “Nominal dichotomous yes/no data: Krippendorff alpha inter-rater reliability” where I show you how to find and download it. Execute this macro. Open your data file. Run the statistical test, by clicking File, N...

    published: 03 Mar 2017
  • Guest Tutorial #4: Matrix Digital Rain in p5.js with Emily Xie

    In this guest tutorial, Emily Xie uses the p5.js library to recreate the digital rain effect from the movie The Matrix. Emily Xie is a software developer and creative coder. She's passionate about coding education, having taught through various conference workshops and via organizations like Girl Develop It (https://www.girldevelopit.com/) and Pioneer Works (https://pioneerworks.org/). Currently, Emily lives in New York and works at Squarespace. Project: Matrix repository: https://github.com/emilyxxie/green_rain The Matrix project, deployed: http://xie-emily.com/generative_art/green_rain.html Personal: Website: http://xie-emily.com Twitter: https://twitter.com/emilyxxie Github account: https://github.com/emilyxxie p5.js: https://p5js.org/ For more Guest Tutorials and Interviews: https...

    published: 23 Feb 2017
  • Content Analysis Coding

    published: 10 Jan 2016
  • HOYA PPC DATA CODER (hot goddess).3GP

    published: 08 Sep 2011
Coding Qualitative Data

Coding Qualitative Data

  • Order:
  • Duration: 6:41
  • Updated: 28 Sep 2011
  • views: 59985
videos
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
https://wn.com/Coding_Qualitative_Data
Qualitative analysis of interview data: A step-by-step guide

Qualitative analysis of interview data: A step-by-step guide

  • Order:
  • Duration: 6:51
  • Updated: 19 May 2013
  • views: 426532
videos
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
https://wn.com/Qualitative_Analysis_Of_Interview_Data_A_Step_By_Step_Guide
Excel and Questionnaires: How to enter the data and create the charts

Excel and Questionnaires: How to enter the data and create the charts

  • Order:
  • Duration: 14:37
  • Updated: 14 Feb 2013
  • views: 246468
videos
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.
https://wn.com/Excel_And_Questionnaires_How_To_Enter_The_Data_And_Create_The_Charts
Zafar Abbas Data Coder

Zafar Abbas Data Coder

  • Order:
  • Duration: 0:07
  • Updated: 19 Sep 2009
  • views: 18
videos
Zafar Abbas Data Coder CMP Lahore
https://wn.com/Zafar_Abbas_Data_Coder
Coding Part 1: Alan Bryman's 4 Stages of qualitative analysis

Coding Part 1: Alan Bryman's 4 Stages of qualitative analysis

  • Order:
  • Duration: 9:37
  • Updated: 25 Oct 2011
  • views: 149682
videos
An overview of the process of qualitative data analysis based on Alan Bryman's four stages of analysis. Reference Bryman, A (2001) Social Research Methods, Oxford: Oxford University Press
https://wn.com/Coding_Part_1_Alan_Bryman's_4_Stages_Of_Qualitative_Analysis
Coding Part 2: Thematic coding

Coding Part 2: Thematic coding

  • Order:
  • Duration: 6:45
  • Updated: 25 Oct 2011
  • views: 129214
videos
Thematic coding is one of the most common forms of qualitative data analysis and it is found in grounded theory, several forms of phenomenological analysis and framework analysis. The analyst tries to identify themes, categories or classifications of the data. Passages of the data (commonly an interview transcript) are coded to the themes - that is the passages are tagged or marked with the name of the theme.
https://wn.com/Coding_Part_2_Thematic_Coding
Coding Interview Problem: Permutation Generator

Coding Interview Problem: Permutation Generator

  • Order:
  • Duration: 18:31
  • Updated: 26 May 2016
  • views: 46771
videos
Follow along as we dive into the problem of creating a permutation generator using C++. We'll walk through an efficient, in-place solution that leverages lexicographic ordering and incrementation. A full text version of the code is available here: http://jg.gg/permutation-generator-coding-interview-question/
https://wn.com/Coding_Interview_Problem_Permutation_Generator
Slacking while Coding | Coder Radio 187

Slacking while Coding | Coder Radio 187

  • Order:
  • Duration: 52:51
  • Updated: 11 Jan 2016
  • views: 1044
videos
Is the age of Apps finally coming to an end? Data points to yes & we discuss how platforms like Slack might offer more potential. Then, more web developers are switching to Linux, is this the start of a trend? Plus what caught our attention in the new iOS release, and interesting projects Google has in store for 2016. Show Notes & Download: http://bit.ly/coder187
https://wn.com/Slacking_While_Coding_|_Coder_Radio_187
coding open-ended questions made easy with smart.coder

coding open-ended questions made easy with smart.coder

  • Order:
  • Duration: 4:11
  • Updated: 04 May 2013
  • views: 1816
videos
This tutorial shows how to automatically code answers to open-ended questions with smart.coder. Code open-ended questions at http://www.smartcoder.at/
https://wn.com/Coding_Open_Ended_Questions_Made_Easy_With_Smart.Coder
Ascribe Coder Walk Thru 01 29 2015

Ascribe Coder Walk Thru 01 29 2015

  • Order:
  • Duration: 38:28
  • Updated: 17 Feb 2016
  • views: 306
videos
This is a general overview of Ascribe Coder. Ascribe Coder is a web-based text mining and text coding management solution that allows users to categorize unstructured data, specifically text data, with ease and precision. Ascribe Coder’s best-in-class technology provides an environment to code and analyze mass amounts of textual content with the detail needed to make informed business decisions. This is why the world’s largest research organizations use Ascribe Coder – it puts high-quality results in the client’s hands faster, at lower costs, for a better experience. http://goascribe.com/
https://wn.com/Ascribe_Coder_Walk_Thru_01_29_2015
2016 New Coder Survey: Data Science

2016 New Coder Survey: Data Science

  • Order:
  • Duration: 5:10
  • Updated: 30 Apr 2016
  • views: 860
videos
We're busy people who learn to code, then practice by building projects for nonprofits. Learn Full-stack JavaScript, build a portfolio, and get great references with our open source community. Join our community at http://freecodecamp.com Notes: - The GitHub repo: https://github.com/FreeCodeCamp/2016-new-coder-survey - The Stack Overflow survey: http://stackoverflow.com/research/developer-survey-2016 - Our goal: to collaborate on D3 visualizations that answer the 20 specific questions we've asked in GitHub issues by midnight EST May 8 - Then, after we've shipped the website with the 20 D3 visualizations answering our questions, we can consider building additional data tools like a DC.js sandbox.
https://wn.com/2016_New_Coder_Survey_Data_Science
Ascribe Coder

Ascribe Coder

  • Order:
  • Duration: 8:05
  • Updated: 12 Feb 2016
  • views: 164
videos
Understand the meaning of unstructured text comments as if they were being spoken directly to you. Ascribe Coder™ delivers a text coding and text mining management system that is flexible enough to adapt to any client requirement, yet powerful enough to quickly manage any sized projects in multiple languages. Ascribe Coder’s success is predicated on its ability as an open source platform. The software can import and export customer data across virtually any data platform including social media sentiment analysis data. http://goascribe.com/
https://wn.com/Ascribe_Coder
Ordinal data: Krippendorff alpha inter-rater reliability test

Ordinal data: Krippendorff alpha inter-rater reliability test

  • Order:
  • Duration: 4:27
  • Updated: 03 Mar 2017
  • views: 923
videos
How to use a statistical test (Krippendorff alpha) to check the reliability of a variable with ordinal data, using a Windows PC and SPSS. Six observers have rated 30 student. The question was “How would you rate this individual student?” 1 = Excellent 2 = Above Average 3 = Average 4 = Below Average Here, I have six judges and no missing data. However, this statistical test can be used with any number of judges and with or without missing data. In SPSS, click File, Open, Syntax, and open the macro “kalpha.sps”. If you do not have this special file, please see my previous video “Nominal dichotomous yes/no data: Krippendorff alpha inter-rater reliability” where I show you how to find and download it. Execute this macro. Open your data file. Run the statistical test, by clicking File, New, Syntax and type: kalpha judges = teacher1 teacher2 teacher3 teacher4 teacher5 teacher6/level = 2/detail = 0/boot = 10000 Then: Run, All The Krippendorff's Alpha Reliability Estimate here is 0.6159. An alpha below 0.67 indicates a really low inter-rater reliability. Ideally, it should be over 0.8. Below 0.8 but above 0.67 indicates low reliability. Source: Krippendorff’s own book Content Analysis: An Introduction to Its Methodology. (Published by SAGE.) The table shows that there is an estimated 70.01 percent chance that the alpha would be below 0.67 if the whole population would be tested. A Krippendorff alpha of just 0.6159 is perhaps too low to be used in a report, but I still include an example here, just to show how these types of results are written out. Method The Krippendorff’s alpha test was used (Hayes & Krippendorff, 2007) to estimate the inter-coder reliability, and these alpha (α) values are reported in the results below. Results The results show that the inter-coder reliability was low (α = 0.6159), i.e. that the six observers did not agree. Discussion (Here, discuss possible reasons why the observers did not agree.) References Hayes, A. F., & Krippendorff, K. (2007). Answering the call for a standard reliability measure for coding data. Communication Methods and Measures 1(1), 77-89. Let us do it again, with another set of example data. Here we have four observers who are rating 12 individuals. There are missing data, but that is no problem for the Krippendorff alpha test. It is one great advantage, compared to other statistical tests. File, New, Syntax. kalpha judges = obsa obsb obsc obsd/level = 2/detail = 0/boot = 10000 The Krippendorff's Alpha Reliability Estimate here is 0.8095. There is a 6.46 percent chance that the alpha would be below 0.67 if the whole population would be tested. This is an example of how it can be reported in text: Method The Krippendorff’s alpha test was used (Hayes & Krippendorff, 2007) to estimate the inter-coder reliability, and these alpha (α) values are reported in the results below. Results The results show a relatively high inter-coder reliability (α = 0.8095), i.e. that the four observers were in agreement with each other. Discussion (Discuss plausible reasons why the observers agreed as well as possible consequences.) References Hayes, A. F., & Krippendorff, K. (2007). Answering the call for a standard reliability measure for coding data. Communication Methods and Measures 1(1), 77-89.
https://wn.com/Ordinal_Data_Krippendorff_Alpha_Inter_Rater_Reliability_Test
Guest Tutorial #4: Matrix Digital Rain in p5.js with Emily Xie

Guest Tutorial #4: Matrix Digital Rain in p5.js with Emily Xie

  • Order:
  • Duration: 43:23
  • Updated: 23 Feb 2017
  • views: 50772
videos
In this guest tutorial, Emily Xie uses the p5.js library to recreate the digital rain effect from the movie The Matrix. Emily Xie is a software developer and creative coder. She's passionate about coding education, having taught through various conference workshops and via organizations like Girl Develop It (https://www.girldevelopit.com/) and Pioneer Works (https://pioneerworks.org/). Currently, Emily lives in New York and works at Squarespace. Project: Matrix repository: https://github.com/emilyxxie/green_rain The Matrix project, deployed: http://xie-emily.com/generative_art/green_rain.html Personal: Website: http://xie-emily.com Twitter: https://twitter.com/emilyxxie Github account: https://github.com/emilyxxie p5.js: https://p5js.org/ For more Guest Tutorials and Interviews: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6bYBG4PsCJpsvMka3boE9pR For more Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH Help us caption & translate this video! http://amara.org/v/72of/
https://wn.com/Guest_Tutorial_4_Matrix_Digital_Rain_In_P5.Js_With_Emily_Xie
Content Analysis Coding

Content Analysis Coding

  • Order:
  • Duration: 11:16
  • Updated: 10 Jan 2016
  • views: 56148
videos
https://wn.com/Content_Analysis_Coding
HOYA PPC DATA CODER (hot goddess).3GP

HOYA PPC DATA CODER (hot goddess).3GP

  • Order:
  • Duration: 6:17
  • Updated: 08 Sep 2011
  • views: 73
videos
https://wn.com/Hoya_Ppc_Data_Coder_(Hot_Goddess).3Gp
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