The Guide to Interview Analysis
Interview analysis involves systematically examining verbal data to uncover patterns, meanings, and insights. The ATLAS.ti guide explains that the process begins with preparing and familiarizing yourself with the interview transcripts, followed by coding significant statements and grouping them into meaningful categories.
The Guide to Literature Reviews
A literature review is a structured approach to identifying, evaluating, and synthesizing existing research on a particular topic. The ATLAS.ti guide explains that a strong literature review goes beyond summarizing studies—it critically analyzes patterns, gaps, and relationships within the scholarship.
The Guide to Thematic Analysis
The guide explains that thematic analysis offers flexibility and can be applied across a wide range of disciplines. It emphasizes the importance of systematic coding and iterative theme development, helping researchers make sense of complex qualitative material.
Mixed methods research: Definition, types, benefits, and challenges
Independent variables are the predictors you set or measure first, and dependent variables are the outcomes recorded afterward. Define the two variables with clear units, timing, and coding;
Hauntingly easy data tricks: Tips for organizing and analyzing mixed methods data
Mixed methods research doesn’t have to be overwhelming—structured data collection and smart use of tools like NVivo, ATLAS.ti, and XLSTAT can simplify the entire process. From transcribing interviews to organizing field notes and running statistical analyses, staying disciplined and methodical is the key to turning messy data into meaningful insights.
The state of AI in qualitative research in 2025
By 2025, GenAI has transitioned from siloed labs into mainstream qualitative research, thanks to robust performance gains and affordable access. Both academia and industry increasingly converge on responsible AI use—disclosing assistance, safeguarding privacy, and mitigating bias.