Published 2/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 3.03 GB | Duration: 5h 28m

Impress everyone with your data analysis

What you'll learn

Use NVivo 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

Understand and use File and Case classifications

Assign attributes and values (e.g. gender, age or any other chosen characteristic) to your Files and Cases

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

Code the data

Create, delete, rename, merge and aggregate codes

Carry out two stages of coding (initial and focused codes) and turn these codes into Themes

Use a Matrix Coding Query and CrossTab Query to explore and compare coded concepts against assigned attributes and values

Use word frequency and text search queries

Create Mind Maps reflecting your assumptions, observations and expectations

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

Use Autocoding and understand its limitations

Use NVivo to analyze Focus Group data

Use NVivo to analyze Questionnaire data

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 (ideally the Release 1 version) 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

Description

"A million s 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 BergstromWhether 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 acad 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, rag 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! PS you don't even need your own data for this course - I provide you with a sample data set that I am using in the videos ! :) ! 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

Overview

Section 1: Hi, Hello, Welcome!

Lecture 1 Introduction to the course and some important remarks

Lecture 2 A note about our hypothetical study and about completing the course on Udemy

Section 2: Starting a new NVivo project and importing the data

Lecture 3 Starting a new project

Lecture 4 Understanding the NVivo workspace

Lecture 5 Importing the data

Section 3: Making notes and recording initial ideas

Lecture 6 The importance of note-taking in research - Introduction to Section 3

Lecture 7 Annotations

Lecture 8 Memos

Lecture 9 See Also Links

Section 4: Organizing the data

Lecture 10 Introduction to Section 4

Lecture 11 Folders

Lecture 12 Sets

Lecture 13 File Classifications

Lecture 14 Case Classifications - what are they and when to use them?

Lecture 15 Creating Case Classifications

Lecture 16 Visualizing classifications, attributes and values

Lecture 17 Updating a classification sheet with existing attributes and values

Lecture 18 Importing a new classification sheet

Section 5: Coding and thematic analysis

Lecture 19 What does Qualitative data analysis involve? (Introduction to Section 5)

Lecture 20 Creating and deleting codes

Lecture 21 Highlighting codes and adding "coding stripes"

Lecture 22 "Code with me" - a presentation of the first stage of thematic analysis

Lecture 23 How long to code for before developing themes?

Lecture 24 Creating folders for codes

Lecture 25 "Code with me" - 2nd stage of thematic analysis - meg, moving, reading codes

Lecture 26 Aggregating codes

Lecture 27 So, when will our themes "emerge"? Moving from codes to themes...

Lecture 28 "Code with me" - Developing themes

Lecture 29 Basic charts for visualizing codes

Lecture 30 Creating charts that show coding for attribute values

Lecture 31 Autocoding

Lecture 32 Coding images/scanned text

Section 6: Queries and further analysis

Lecture 33 Introduction to data queries in NVivo

Lecture 34 Text Search query

Lecture 35 Word Frequency query

Lecture 36 Coding query

Lecture 37 Compound query

Lecture 38 Matrix coding query

Lecture 39 CrossTab query

Lecture 40 Storing query results and criteria

Section 7: Analyzing other types of data

Lecture 41 Introduction to analyzing other types of data in NVivo

Lecture 42 Focus Groups: Introduction, Importing and Autocoding

Lecture 43 Focus Groups: Analyzing focus group data

Lecture 44 Questionnaires: Introduction and Importing

Lecture 45 Questionnaires: Reading the questionnaire data

Lecture 46 Questionnaires: Analyzing the questionnaire data

Section 8: Mind Maps, Concept Maps and Project Maps

Lecture 47 The role of diagrams in qualitative data analysis

Lecture 48 Mind Maps

Lecture 49 Concept Maps

Lecture 50 Project Maps

Those willing to learn to use NVivo for Qualitative data analysis (Bner 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,Acads & 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 acad jobs)

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