Qualitative Researcher Dr Kriukow — Channel Summaries
AI-powered summaries of 176 videos about Qualitative Researcher Dr Kriukow.
176 summaries
AI Detector Bypass - Learn to Manually Humanise AI content with me!
AI detectors don’t mainly flag writing for “AI words.” They look for statistical and structural patterns—especially low variation in how sentences...
thematic analysis | how to present the results
A results chapter built from thematic analysis should be organized around a clear thematic framework shown to readers early, then unfolded...
Qualitative coding and thematic analysis in Microsoft Word
Qualitative coding in Microsoft Word can replace specialized software for researchers who need a practical, transparent workflow—especially when the...
Thematic analysis with ChatGPT | PART 1- Coding qualitative data with ChatGPT
The central takeaway is that ChatGPT can speed up qualitative thematic analysis—especially the early “coding” stage—when researchers treat it as an...
Coding and thematic analysis explained in 5 minutes
Thematic analysis turns messy qualitative material into research-ready findings by starting with coding—then reorganizing those codes into themes...
How to present qualitative findings
Qualitative findings are easiest to read when they’re anchored by a clear thematic structure—often a table of themes—then supported with quotes and,...
How Codes become Themes in NVivo 12
Turning a messy list of NVivo “codes” into a usable thematic framework hinges on one practical shift: codes are labels for organizing text early on,...
Qualitative Coding for beginners - 4 things you HAVE TO KNOW but NOBODY will tell you about coding
Qualitative coding isn’t a mysterious, rule-bound ritual—it’s a practical, common-sense way to label and organize text so patterns can emerge later....
how to transcribe interviews
Choosing how to transcribe interview audio is less about chasing a “perfect” text and more about matching transcription detail to the study’s...
How to develop an interview guide in qualitative research (step by step guide with examples)
A strong qualitative interview guide isn’t built by chasing a universal template—it’s built to help researchers answer their specific research...
Qualitative coding and thematic analysis in Microsoft Word
Qualitative coding and thematic analysis don’t require specialized software to get started—Microsoft Word can be used to build a workable workflow...
What is constructivism? (Definitions, examples, ontology and epistemology of constructivism)
Constructivism treats knowledge and reality as something people actively build through their minds, experiences, and social interaction—so research...
thematic analysis | how to discuss your themes (5 tips and 5 mistakes)
Presenting thematic analysis results comes down to one practical goal: make each theme feel evidence-based, interpretable, and easy to follow. That...
Ontology and epistemology, positivism and interpretivism
Ontology and epistemology sit underneath the familiar divide between positivism and interpretivism—and they matter because they shape what counts as...
Thematic analysis with ChatGPT | PART 2- Coding qualitative data with ChatGPT
Qualitative thematic analysis with ChatGPT doesn’t replace the core work of coding—it mainly accelerates the messy middle: reorganizing a large list...
How codes become themes (Part 2) | Generating thematic framework
The central takeaway is that themes don’t emerge from codes in a single “correct” way; they’re shaped by the study’s research questions, and the...
Codes, Categories and Themes - Understand the difference
Codes, categories, and themes form a hierarchy—starting with the most specific “codes” and moving up to broader “categories” and the most inclusive...
Do qualitative thematic analysis & reporting with this ChatGPT -based tool (AILYZE)
A new AI tool built specifically for qualitative thematic analysis is gaining attention for turning uploaded interview transcripts into structured...
How to write research limitations section (and what NEVER to write there)
A strong limitations section isn’t about admitting failure—it’s about demonstrating critical thinking, methodological awareness, and the ability to...
Validity and reliability in Qualitative research (6 strategies to increase validity)
Qualitative research doesn’t have to chase “reliability” in the same way quantitative studies do; instead, it should focus on validity—whether...
Analyzing mixed methods research data
Mixed methods analysis hinges on how data are sequenced—and that sequencing determines what gets analyzed first, how the second phase is designed,...
positivism and interpretivism
The biggest takeaway is reassurance: students don’t need to obsess over ontologies and epistemologies—especially the positivism-versus-interpretivism...
Interview guide (Qualitative interviews #2)
Qualitative interview guides shouldn’t be built around rigid “types of questions.” Instead, they should be engineered around the answers we need for...
How to develop a thematic framework - MY BEST ADVICE + coding in NVivo 12
A thematic framework should function like a self-contained map of both the study’s purpose and its findings—so a researcher shouldn’t need to re-read...
Assumptions in Qualitative Research
Assumptions aren’t automatically a contaminant in qualitative research; they’re often necessary scaffolding for designing a study, shaping curiosity,...
Thematic analysis | How to present qualitative findings (4 mistakes)
Qualitative findings often get marked down not because the analysis is weak, but because the results chapter is hard to follow. The most damaging...
25 Tips to Humanise AI-written text and avoid AI detection
AI detectors tend to flag writing that is statistically uniform—texts with predictable sentence patterns, repeated phrasing, and consistent grammar...
Ontology, Epistemology, Positivism and Interpretivism explained in (under) 5 minutes
Research paradigms, ontologies, and epistemologies form a single logic chain about what someone believes reality is and how knowledge should be...
What is Grounded Theory | Core Elements and Common Myths
Grounded theory is a research methodology designed to build a detailed understanding—or a “theory”—of understudied phenomena by letting patterns...
Difference between Research Design, Research Methodology and Research Methods
Research design, research methodology, and research methods form a hierarchy from broad to specific: research design is the most inclusive umbrella...
Qualitative coding tutorial || Creating High Quality codes
High-quality qualitative codes function like a table of contents for a dataset: they make the underlying interviews easy to understand, which in turn...
Focus groups - what is a focus group and how to analyse focus group data?
Focus groups work best when researchers treat them as more than a theme-hunting exercise. A focus group is a moderated discussion among participants...
How CODES become THEMES - Questions that YOU should ask yourself when developing themes
Turning codes into themes is less a mechanical step and more a judgment call: the themes that emerge must fit the study’s research questions and be...
Qualitative data analysis - Coding Tutorial - Initial Codes | "From Codes to Themes" episode 1
Coding in qualitative research starts with building a detailed, searchable set of “initial codes” that function like personal notes—capturing what...
How does AI detection work? I designed an EXPERIMENT to show you
AI detection systems don’t judge text sentence-by-sentence; they score documents by looking at full-context patterns. That matters because a workflow...
How to write the discussion chapter (and what NOT to write)
A well-written discussion chapter does more than restate results—it persuades readers that the findings matter, connect to the research questions,...
Grounded Theory vs Phenomenology - Similarities, Differences & Which one to choose?
Grounded theory and phenomenology often get mixed up because they share a similar “feel”: both aim to make sense of people’s lived, subjective...
Thematic analysis with ChatGPT - coding qualitative data (2025 method)
Qualitative thematic analysis becomes more defensible when ChatGPT is used to produce an auditable coding trail—not just end themes. The core shift...
How to Really do Braun and Clarke's 6 step Thematic Analysis (explained in 3 steps)
The core takeaway is that Braun and Clarke’s thematic analysis becomes manageable once it’s treated as a structured pipeline for turning messy...
Thematic Analysis with ChatGPT - full analysis from Codes to Themes
The core takeaway is a fully auditable thematic analysis workflow that uses ChatGPT (or a similar language model) from first-pass coding all the way...
Sample size in qualitative research
Qualitative research often demands a pre-specified participant count, yet there’s rarely a clear rule for what “enough” looks like. A practical...
Arts-based research: definition, procedures & application (Dr Patricia Leavy)
Arts-based research is a structured approach in which researchers adapt creative arts methods to generate, analyze, interpret, and/or represent...
Philosophical assumptions, paradigms and worldviews in mixed methods research
Mixed methods research forces a philosophical choice: quantitative and qualitative methods are often tied to contrasting worldviews—positivism...
Research Methodologies: Narrative research, Phenomenology, Grounded Theory, Ethnography, Case Study
Five widely used qualitative research methodologies differ less in “what data to collect” than in what each approach treats as the central target: an...
Mixed methods research #1 basic decisions and designs
Mixed methods research is built around one central requirement: qualitative and quantitative data must be combined to answer the same research...
Hacked and Hijacked: How to recover Google account and YouTube channel? Step-by-step guide
Account hijacking doesn’t just lock people out—it can also trigger a YouTube termination that feels personal even when it isn’t. The core message is...
Qualitative observation - how to plan, conduct and analyze observations in qualitative research
Qualitative observation is presented as a practical, structured method for capturing “natural” behavior and interaction—especially when what people...
Qualitative data analysis (Qualitative interviews #4)
Qualitative data analysis resists one-size-fits-all rules because it’s flexible, dynamic, and shaped by the specific study and data. That flexibility...
Convergent parallel design (Mixed methods research #2)
Convergent parallel mixed methods design is the most widely used approach to mixing research methods because it collects qualitative and quantitative...
Line-by-line coding in qualitative research
Line-by-line coding turns qualitative analysis into a disciplined act of description: each line of transcript gets a short label that mirrors what...
How to transcribe interviews? (PART II - which approach to transcription to choose?)
Choosing a transcription method isn’t a technical preference—it’s a research design decision. Two principles anchor the choice: the level of...
Qualitative data analysis - Coding Tutorial - Focused Codes| "From Codes to Themes" episode 2
After initial coding produces a sprawling set of labels, focused coding turns that mess into a manageable, more coherent code system—often by...
Grounded theory and line-by-line coding in NVivo
Grounded theory research in NVivo doesn’t require a special, NVivo-specific method so much as it demands a more granular coding discipline: coding...
Explanatory sequential design (Mixed methods#3)
Explanatory sequential mixed methods put numbers first and then use interviews or other qualitative work to make sense of what the statistics can’t...
Do THIS before you import Anything to NVIVO - so that it doesn't crash
NVivo projects can crash when transcripts are imported with table-based formatting—especially when time stamps and speaker text are stored in...
Qualitative data analysis - the role of theoretical framework in data analysis
Qualitative research can use an established theoretical framework effectively—but only if the framework is tied to how data were collected. The key...
How to write the Conclusions chapter (Dissertation/Thesis/Research Paper)
A dissertation’s conclusions chapter is the last opportunity to make the work matter to readers—so it can’t be treated as an afterthought or a simple...
Thematic analysis - How many codes do you need?
The safest way to start thematic analysis is to code broadly and in detail—even if the coding framework looks messy—because early-stage coding is...
Exploratory sequential design (Mixed methods #4)
Exploratory sequential design is a mixed-methods strategy built to turn qualitative insight into a quantitative test of how broadly those insights...
Beginner's guide to coding qualitative data (line-by-line coding)
Line-by-line coding is a practical way to break through the “stuck” feeling that hits when qualitative transcripts don’t obviously map onto research...
How to write a literature review QUICKLY
A literature review doesn’t get written quickly by “starting to write.” It gets written quickly by front-loading reading, then turning that reading...
Qualitative Coding for beginners - How to name codes?
Code naming anxiety is a common trap in qualitative analysis, and it wastes time that should go into understanding the data well enough to build...
7 differences between QUALITATIVE and QUANTITATIVE research
A jaywalking study becomes a clear test case for why qualitative and quantitative research often look nothing alike: one approach prioritizes...
Qualitative data analysis - Developing THEMES from CODES | "From Codes to Themes" episode 3
Theme development starts with a practical decision: keep coding detailed enough to notice when “good” and “bad” experiences actually reflect...
Thematic analysis with ChatGPT - 3 ways to create and/or organize your themes in ChatGPT
ChatGPT can speed up thematic analysis in three practical ways—first by drafting themes from a code list, second by sorting codes into already-chosen...
Validity in Qualitative research explained in under 8 minutes
Qualitative research can’t be “replicated” in the same way as experiments, so credibility—not repeatability—becomes the central yardstick....
Theoretical sampling & Purposeful sampling (5 minute definitions)
Purposeful sampling and theoretical sampling are closely linked, but they differ in timing: purposeful sampling selects participants up front to...
Qualitative Coding for beginners - should you code 1 extract with more than 1 code?
Qualitative coding can legitimately assign multiple codes to a single extract (even a single sentence) when that passage contains more than one...
Thematic analysis - how many themes to have in Qualitative Data Analysis?
How many themes is “enough” in qualitative analysis? There’s no universal number—most researchers land in a practical range, and the deciding factor...
How to write a literature review in 10 days
A literature review doesn’t need to start as a blank page problem. The fastest path from “zero words” to a full chapter is to (1) build a clear...
The role of theory in research || Do you need a theoretical framework??
Whether qualitative research requires a theoretical framework depends less on the method and more on what “theoretical framework” means. Theory is...
Qualitative Coding for beginners - aggregating codes and cleaning up "dirty" codes (NVIVO)
Aggregating codes is essential for presenting clean, defensible counts in qualitative analysis—especially when a main code (or theme) contains child...
Best books about doing research, data analysis, qualitative methods and methodologies + some extras
A curated reading list for researchers and students—spanning research design, mixed methods, interviewing, grounded theory, qualitative data...
Ethical Thematic Analysis with ChatGPT: Step-by-step Tutorial
Ethical thematic analysis with ChatGPT hinges on one practical idea: keep tight control of the coding workflow so the model can’t “shortcut” to...
Qualitative interviews #3 How to conduct interviews
Once the interview guide is ready, the biggest determinant of data quality is what happens during the session: building rapport so participants feel...
Qualitative data analysis - Coding, what to do after coding, how to develop theoretical concepts...
Turning coded qualitative data into theoretical concepts starts with disciplined code understanding—then moves into cautious theorizing, and finally...
Learn How to Spot AI Writing in ANY TEXT!
AI-written text can be spotted quickly by looking for a cluster of repeatable writing “tells” that show up across social media, ads, and even...
NVivo vs ATLAS.ti - which data analysis software is better?
ATLAS.ti is positioned as the more practical choice for qualitative data analysis in 2024 and beyond, mainly because it feels clearer, faster to use,...
What is theoretical sampling?
Theoretical sampling is a mid-study recruitment strategy that adjusts who gets studied based on what emerges from data analysis—so the study’s...
Is PhD still worth it in 2022 || & Tips to Make it worth it (Dr Jarek Kriukow)
PhD completion rates are low and the payoff is uncertain—yet a PhD can still be worth it in 2022 if candidates choose the right motivations and...
Is PhD worth it (and why I wish I never did mine)
A PhD rarely delivers the financial or career certainty many people assume it will. While PhD holders can earn well—especially when they land jobs...
How to finish a Master's degree (8 tips for Success)
Finishing a master’s degree on time comes down to treating deadlines as real, planning as non-negotiable, and building a study rhythm that matches...
Semi-structured interview, structured interview, unstructured ... (Qualitative interviews #1)
Qualitative interviews come in three core formats—structured, semi-structured, and unstructured—and the most important choice isn’t the label from...
How to do a literature review FAST with Google Bard (Gemini)
Google Bard (Gemini) can accelerate the early stages of a literature review by turning broad research questions into structured reading lists with...
How to get an Academic JOB - Writing Responses to Selection Criteria (REAL application examples)
Academic job offers often hinge on how well applicants translate their background into the language of selection criteria. The core takeaway is that...
Chat GPT and thematic analysis - Here is how I really use it
ChatGPT is most useful in qualitative thematic analysis not as an automatic coder, but as a “research assistant” that helps refine the analyst’s...
How many questions to ask in a qualitative interview & How long should the interview last?
Qualitative interviews don’t have a universal “right number” of questions. The practical rule is to design the interview guide around the study’s...
How to defend your PhD thesis - 7 things to remember
A thesis defense doesn’t require knowing every answer—it rewards preparation that makes the candidate confident, flexible, and honest under pressure....
Recording qualitative interviews – my best advice
Audio recording in qualitative interviews works best when it’s handled as a rapport-building moment rather than a hidden technical step. Most...
Qualitative Coding for beginners - coding Surface vs Deep meaning
Qualitative coding doesn’t have to stop at what participants literally say; it can also capture the “surface meaning” and the “implicit meaning”...
Career as a researcher - 10+ non-academic research careers
Leaving academia isn’t a career dead-end—it’s often the most realistic path for researchers, because most graduates won’t stay in university roles...
The MOST INTELLIGENT AI feedback tool for academic writing!
An AI academic writing coach called theify is positioning itself as a “supervisor-style” feedback system rather than a tool that writes papers for...
How to transcribe interviews? Part I - Approaches to transcribing interviews
Choosing how to transcribe interview data hinges on a central tradeoff: whether transcription should preserve talk in all its messy detail or instead...
How to code the data in NVivo 15
Coding in NVivo 15 is treated as the practical engine behind later thematic analysis: the software turns selected text from transcripts into “codes”...
AI detector bypass - this is why you get AI content strike EVEN AFTER paraphrasing!
AI detectors can keep flagging text as “AI written” even after repeated paraphrasing because they don’t judge each sentence in isolation. Instead,...
Dissertation discussion chapter - 4 ways in which you can structure it
A discussion chapter is hard not because it lacks ideas, but because it has almost no fixed template—so writers must balance freedom with strict...
Attributes and values in NVIVO
NVivo doesn’t automatically attach participant attributes (like age or gender) to cases, so building a useful classification sheet requires adding...
How to write a good abstract | structure, example abstract & tips
A strong abstract does two jobs at once: it gives readers a fast, accurate overview of a study’s core ideas and findings, and it helps search engines...
How to choose your research methods || 5 tips for complete beginners
Choosing qualitative research methods isn’t a matter of picking from a universal checklist—it depends on the study’s aims, research questions, and...
Open coding and Axial coding in Qualitative data analysis
Open coding and axial (focused) coding are practical, two-stage ways to analyze qualitative data: first tag the text with descriptive, data-driven...