Analyze Qualitative Data

Format:

Book

Language:

English

Subjects (All):

Social sciences.

Physical Description:

Online course : (5 hr.)

Place of Publication:

London : SAGE Publishing 2022

Summary:

This course develops students’ skills in understanding and evaluating their individual data. It identifies the appropriate approach to coding, using techniques to categorize and pull themes from their data, building confidence and proficiency in every stage of the data analysis process. This course will help learners to: • Identify the types of data that generates themes and recognize why themes matter • Effectively organize their data and decide on the best approach to transcribing it • Evaluate the different approaches to coding and evaluate which is most suitable for analyzing their own data • Identify meaningful data to create appropriate codes, organizing into categories to help with data analysis • Analyze their categories to find themes, evaluating these against the data • Use evidence from their data to support their themes. MODULE ONE: WHEN AND WHY DO WE NEED THEMES? 1. What types of data generates themes? 2. Qualitative data collection methods 3. Different types of themes 4. Checkpoint MODULE TWO: ORGANIZING AND TRANSCRIBING YOUR DATA 1. What is transcribing? 2. How can I transcribe my data? 3. How to get started 4. Creating powerful transcriptions MODULE THREE: THE BASICS OF DEVELOPING CODES Topics: 1. What is coding? 2. Approaches to coding 3. How to start: primary coding techniques to create structure 4. Secondary coding: different ways to code MODULE FOUR: HOW DO I DEVELOP CODES? 1. How do I start to code? 2. How can I develop codes MODULE FIVE: HOW DO I CATEGORIZE CODES? 1. What are categories? 2. Turn your codes into categories 3. Reassemble your data MODULE SIX: FINDING MEANINGFUL THEMES 1. What are themes? 2. Finding themes: step-by-step 3. Evaluating themes 4. How should I support my themes?

ISBN:

1-5297-9341-6

OCLC:

1304259330