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Dr Kriukow — Person Summaries

AI-powered summaries of 32 videos about Dr Kriukow.

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Thematic analysis | How to present qualitative findings (4 mistakes)

Qualitative Researcher Dr Kriukow · 3 min read

Qualitative findings often get marked down not because the analysis is weak, but because the results chapter is hard to follow. The most damaging...

Sign PostingResearch QuestionsThemes Table

25 Tips to Humanise AI-written text and avoid AI detection

Qualitative Researcher Dr Kriukow · 3 min read

AI detectors tend to flag writing that is statistically uniform—texts with predictable sentence patterns, repeated phrasing, and consistent grammar...

AI DetectionManual EditingSentence Structure

How CODES become THEMES - Questions that YOU should ask yourself when developing themes

Qualitative Researcher Dr Kriukow · 2 min read

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...

Thematic DevelopmentCodes to ThemesResearch Questions

How to write the discussion chapter (and what NOT to write)

Qualitative Researcher Dr Kriukow · 3 min read

A well-written discussion chapter does more than restate results—it persuades readers that the findings matter, connect to the research questions,...

Discussion Chapter PurposeLinking Findings to LiteratureResearch Question Mapping

Grounded Theory vs Phenomenology - Similarities, Differences & Which one to choose?

Qualitative Researcher Dr Kriukow · 3 min read

Grounded theory and phenomenology often get mixed up because they share a similar “feel”: both aim to make sense of people’s lived, subjective...

PhenomenologyGrounded TheoryQualitative Sampling

How to Really do Braun and Clarke's 6 step Thematic Analysis (explained in 3 steps)

Qualitative Researcher Dr Kriukow · 3 min read

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 AnalysisCodingFocus Coding

Qualitative data analysis - Coding Tutorial - Focused Codes| "From Codes to Themes" episode 2

Qualitative Researcher Dr Kriukow · 3 min read

After initial coding produces a sprawling set of labels, focused coding turns that mess into a manageable, more coherent code system—often by...

Focused CodingAudit TrailCode Organization

Grounded theory and line-by-line coding in NVivo

Qualitative Researcher Dr Kriukow · 2 min read

Grounded theory research in NVivo doesn’t require a special, NVivo-specific method so much as it demands a more granular coding discipline: coding...

Grounded TheoryLine-by-Line CodingNVivo Workflow

Do THIS before you import Anything to NVIVO - so that it doesn't crash

Qualitative Researcher Dr Kriukow · 2 min read

NVivo projects can crash when transcripts are imported with table-based formatting—especially when time stamps and speaker text are stored in...

NVivo ImportTranscript FormattingAuto Coding

Thematic analysis - How many codes do you need?

Qualitative Researcher Dr Kriukow · 2 min read

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...

Thematic AnalysisCodingResearch Validity

Qualitative data analysis - Developing THEMES from CODES | "From Codes to Themes" episode 3

Qualitative Researcher Dr Kriukow · 3 min read

Theme development starts with a practical decision: keep coding detailed enough to notice when “good” and “bad” experiences actually reflect...

Developing ThemesFrom Codes to ThemesJob Satisfaction

Theoretical sampling & Purposeful sampling (5 minute definitions)

Qualitative Researcher Dr Kriukow · 2 min read

Purposeful sampling and theoretical sampling are closely linked, but they differ in timing: purposeful sampling selects participants up front to...

Purposeful SamplingTheoretical SamplingQualitative Research

Thematic analysis - how many themes to have in Qualitative Data Analysis?

Qualitative Researcher Dr Kriukow · 2 min read

How many themes is “enough” in qualitative analysis? There’s no universal number—most researchers land in a practical range, and the deciding factor...

Theme CountThematic AnalysisBraun and Clarke

Qualitative Coding for beginners - aggregating codes and cleaning up "dirty" codes (NVIVO)

Qualitative Researcher Dr Kriukow · 2 min read

Aggregating codes is essential for presenting clean, defensible counts in qualitative analysis—especially when a main code (or theme) contains child...

NVivo AggregationDirty CodesQualitative Coding

NVivo vs ATLAS.ti - which data analysis software is better?

Qualitative Researcher Dr Kriukow · 3 min read

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,...

Qualitative Data Analysis SoftwareATLAS.ti vs NVivoCoding Workflows

How to do a literature review FAST with Google Bard (Gemini)

Qualitative Researcher Dr Kriukow · 2 min read

Google Bard (Gemini) can accelerate the early stages of a literature review by turning broad research questions into structured reading lists with...

Literature ReviewGoogle BardSecond Language Identity

How many questions to ask in a qualitative interview & How long should the interview last?

Qualitative Researcher Dr Kriukow · 2 min read

Qualitative interviews don’t have a universal “right number” of questions. The practical rule is to design the interview guide around the study’s...

Interview Guide DesignQualitative Interview DurationQuestion Brainstorming

How to write a good abstract | structure, example abstract & tips

Qualitative Researcher Dr Kriukow · 3 min read

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...

Abstract PurposeAbstract StructureMethodology Summary

Did early humans hibernate? / Could we really sleep in space for years? | Dr Antonis Bartsiokas

Qualitative Researcher Dr Kriukow · 3 min read

The central claim is that some early humans—specifically the Sima de los Huesos population at Atapuerca in Spain—may have entered a hibernation-like...

Hibernation PhysiologyHuman PaleopathologyAtapuerca Sima de los Huesos

The most common reason why you are STUCK in your thematic analysis (with examples)

Qualitative Researcher Dr Kriukow · 3 min read

The most common reason thematic analysis stalls isn’t a lack of coding—it’s failing to decide the “core story” that the results must communicate....

Thematic AnalysisCore NarrativeCode Merging

Research title - how to develop it?

Qualitative Researcher Dr Kriukow · 2 min read

A strong research title should do two jobs at once: accurately reflect what the study actually measured or examined, and include the right keywords...

Research Title DevelopmentKeyword AlignmentImpact vs Relationship

How to plan your dissertation?

Qualitative Researcher Dr Kriukow · 2 min read

Dissertation planning works best when it’s split into two tracks: designing the finished product (the dissertation’s structure) and designing the...

Dissertation PlanningTop-Down StructurePlanning Backwards

Qualitative data analysis - do themes "Emerge"? Or do we "Develop" them?

Qualitative Researcher Dr Kriukow · 2 min read

Qualitative analysis language matters because it shapes how researchers describe what they actually do with data. Instead of saying themes “emerge,”...

Theme DevelopmentQualitative CodingResearch Paradigms

Coding and thematic analysis - these two questions will help you develop Themes

Qualitative Researcher Dr Kriukow · 2 min read

Turning a pile of codes into usable themes gets easier once the study’s purpose is treated as the filter. The core move is to ask why the research is...

Codes to ThemesRationaleImplications

How to do Literature Review FAST with SciSpace

Qualitative Researcher Dr Kriukow · 3 min read

SciSpace’s “deep search” (deep review) turns an early, fuzzy literature review into a structured set of findings by acting like an AI research agent:...

Deep SearchLiterature ReviewQuery Narrowing

How to write a Literature Review chapter - TOP 5 tips

Qualitative Researcher Dr Kriukow · 3 min read

A literature review chapter’s real job is not to prove knowledge for a grade—it’s to bring the reader up to speed so they can clearly understand the...

Literature Review PurposeArgument StructureUnder-Researched Topics

How to develop a research topic? (2 powerful tips)

Qualitative Researcher Dr Kriukow · 2 min read

A strong research topic doesn’t come from a quick brainstorm—it’s built through sustained academic reading that maps what’s already known and what...

Research Topic DevelopmentAcademic LiteratureLiterature Reviews

How to write the discussion chapter in research paper? Single most important tip

Qualitative Researcher Dr Kriukow · 2 min read

Writing the discussion chapter gets stuck when researchers try to “comment on the literature” only after they’ve already become deeply immersed in...

Discussion ChapterLiterature ComparisonResearch Writing

AI Humanisers are a SCAM - do this instead to bypass Turnitin

Qualitative Researcher Dr Kriukow · 2 min read

AI “humanizer” tools that promise to make AI-written text undetectable by AI detectors are portrayed as ineffective and counterproductive. Tests...

AI DetectionAI HumanizersAcademic Writing

Research paradigm, ontology, epistemology - Which one for YOUR STUDY?

Qualitative Researcher Dr Kriukow · 2 min read

The central takeaway is that research “philosophical” labels—paradigms, worldviews, ontology, and epistemology—aren’t something to pick first and...

Research ParadigmOntologyEpistemology

How to present Qualitative Findings - a mistake to avoid

Qualitative Researcher Dr Kriukow · 2 min read

Qualitative findings should be presented in a way that makes them actionable and specific—otherwise the most useful parts of the analysis get buried...

Actionable FindingsThematic FrameworkResults vs Discussion

3 Mistakes to avoid when presenting Qualitative Research findings

Qualitative Researcher Dr Kriukow · 3 min read

Qualitative findings often fail not because the data are weak, but because the writing blurs what the evidence actually comes from and overreaches...

Qualitative ResultsClaim ClarityOvergeneralization