Analysing Research Data: Quantitative & Qualitative Approaches

About Course

This course provides a comprehensive guide to analyzing both quantitative (numerical) and qualitative (non-numerical) data. Learners are introduced to techniques for preparing, processing, interpreting, and drawing valid conclusions from diverse data sets. They also learn how to apply appropriate analytical procedures to answer their research questions and make robust, data-driven decisions.

Descriptive Points

Explains fundamental differences between quantitative and qualitative data.
Covers data preparation, including transcription and coding for analysis.
Introduces various quantitative analysis techniques (tables, charts, statistics).
Explores qualitative analysis processes: summarizing, categorizing, and structuring meanings.
Discusses the role of theory (deductive/inductive) in data interpretation.

Prepare and organize both quantitative and qualitative data for analysis.
Distinguish between different types of quantitative data (nominal, ordinal, interval, ratio) and their implications for analysis.
Apply various qualitative analysis processes: summarizing, categorizing, and structuring narrative.
Understand the role of deductive and inductive approaches in data interpretation.
Utilize analytical aids and recognize relationships within your data to form conclusions.