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    From Zero To Nvivo 12 - Qualitative Data Analysis With Nvivo (updated 1/2022)

    Posted By: ELK1nG
    From Zero To Nvivo 12 - Qualitative Data Analysis With Nvivo (updated 1/2022)

    From Zero To Nvivo 12 - Qualitative Data Analysis With Nvivo
    Last updated 1/2022
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 2.94 GB | Duration: 4h 41m

    Take your data analysis to a higher level

    What you'll learn

    Use NVivo 12 for Qualitative data analysis

    Explore the data, make a note of your observations and link these notes to other elements of the project

    Categorize your data into folders, sets and cases

    Create Mind Maps reflecting your assumptions, observations and expectations

    Compare cases by attributes and values (e.g. did men and women express similar views?)

    Code the data and create a thematic framework

    Run professional data analysis using coding queries

    Create Project Maps and Concept Maps to explore and visualise links in your project

    THINK like a professional qualitative researcher!

    Requirements

    NO data set is required (you will be provided with a sample data set to work with)

    You should have a licensed NVivo software installed on your computer

    ⚠️The course was recorded on the WINDOWS version, and although it is very similar to the MAC version, some may find the differences confusing

    ⚠️ NVivo 12 Pro was used for recording the course. In March 2020, a new NVivo update came out and the layout of NVivo changed slightly. HOWEVER, all options and functions I discuss in the course are still exactly the same

    Description

    ⭐⭐⭐⭐⭐ "A million times better than the ones at my uni! " - Claire L. Johnston⭐⭐⭐⭐⭐ "I highly recommend this course and instructor. He is a savior for the new researcher!!!!" - Jody Bergstrom–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––-Whether you are completely new to NVivo, or have some previous experience with it, you will find this course both useful and enjoyable. I am a professional researcher, research consultant and academic tutor, and in this course, I will teach you complex ideas in a simple and approachable way and I will make sure that when you complete it:➡️ you will be able to use a variety of functions of NVivo, ranging from simple note-making, sorting and coding to more complex data queries (see the details in the "What you'll learn" section above)➡️ you will understand how NVivo can help you take Your data analysis to a higher level. You will have a good understanding of what can be done to enrich your data analysis and how to use NVivo for this purpose➡️ you will impress your supervisors, teachers, employers or colleagues with the depth of the analysis you undertakeThe best thing about this course is that all lessons are logically connected - the analytic ideas that emerge early in the course when we record our initial thoughts will be later tested when we learn to code and conduct various coding queries. I do not just talk about how to conduct a given query without first explaining what this query is, how it will help us, and why we may want to conduct it in the first place!This is, in fact, what my students seem to like most about my courses - the way I explain things, the way the lessons are organised and the way I support my students throughout (I am very responsive to messages and always do my best to assist each student personally). I hope that you will take this course and we will soon embark on this exciting analytic journey together! ⚠️ Please not that the course was recorded on the WINDOWS version, and although it is very similar to the MAC version, some may find the differences confusing⚠️ NVivo 12 Pro was used for recording the course. In March 2020, a new NVivo update came out and the layout of NVivo changed slightly. HOWEVER, all options and functions I discuss in the course are still exactly the same

    Overview

    Section 1: Getting started

    Lecture 1 Introduction to Section 1

    Lecture 2 Starting a new project in NVivo

    Lecture 3 Importing the dataset

    Lecture 4 Bonus lecture - the importance of note-making in qualitative data analysis

    Lecture 5 Making annotations

    Lecture 6 Memos

    Lecture 7 See Also links

    Lecture 8 Mind maps

    Section 2: Organizing the data

    Lecture 9 Introduction to Section 2

    Lecture 10 Folders

    Lecture 11 Sets

    Lecture 12 Introduction to Classifications and Cases

    Lecture 13 Creating cases and classifications

    Lecture 14 Assigning Attributes and Values to cases

    Lecture 15 Charts for visualising attributes and values

    Section 3: Coding

    Lecture 16 Introduction to coding

    Lecture 17 Creating codes

    Lecture 18 Organising codes into parent-child relationships

    Lecture 19 "Reading" codes

    Lecture 20 Decoding, merging and aggregating codes

    Lecture 21 Visualising codes

    Lecture 22 Visualising codes against attributes and values

    Lecture 23 Using codes to create attributes

    Lecture 24 Autocoding (Part 1)

    Section 4: Further analysis

    Lecture 25 Introduction

    Lecture 26 Coding queries 1 - overlapping codes

    Lecture 27 Coding queries 2 - coding by attribute values

    Lecture 28 Coding queries 3 - matrix coding query

    Lecture 29 Crosstab query

    Lecture 30 Word queries

    Section 5: Analysing other types of data

    Lecture 31 Other types of data - questionnaires

    Lecture 32 Other types of data - focus groups (autocoding Part 2)

    Section 6: Final remarks and conclusions

    Lecture 33 Exporting elements of your project

    Lecture 34 Codes and Themes, and when a code becomes a theme

    Lecture 35 Course conclusion

    Section 7: BONUS section

    Lecture 36 Bonus lecture - discounts for my other courses

    Those willing to learn to use NVivo for Qualitative data analysis (Beginner Level),Those who have already used this software but want to develop their skills further (Pre-intermediate Level),Students undertaking their Master's/PhD study,Academics & Researchers wishing to improve their skill set,Recent graduates wishing to increase their employability (being able to use NVivo is a valued skill in research and academic jobs)