Veladot

Veladot Human centered research for understanding and action.

15/08/2026

What if I told you that “nothing happened” is one of the most valuable things research can find?
Null results are not failures. They’re findings — and the research world is slowly catching up to that truth.
If you’ve ever felt deflated staring at a non-significant p-value, this video is for you 👇

04/08/2026

That moment you almost quit your research project? Every serious researcher has been there.

But then, your project isn’t falling apart (even though thats how it’ll feel like at the moment 😂) it’s coming together in the only way research actually does: messily, slowly, and then suddenly.

New video for every student who’s convinced they’re the only one struggling 👇

💬 want to talk about the hardest part of your project right now?

19/05/2026

You spent months collecting data, running analysis, and writing up findings.

But when someone outside your field asks *”so what did you find?”* — you freeze. 😶

Sound familiar?

Knowing how to explain your research to a non-research audience is one of the most underrated skills in academia. And in this video, I’m showing you exactly how to do it without dumbing it down or losing your credibility.

Because your research deserves to be understood — not just by your supervisor. 💡

💬 But for real, who’s the hardest person you’ve ever had to explain your research to? (Family dinners count 😂)

67% of your users dropped off. Your data told you that. It told you absolutely nothing about why. That’s the gap mixed m...
09/05/2026

67% of your users dropped off. Your data told you that. It told you absolutely nothing about why. That’s the gap mixed methods fills — and it’s the gap most teams ignore.

Quantitative research is great at measuring.
Qualitative research is great at explaining. But used alone? Both will mislead you.

Swipe through to see how the two methods work together — and why the best insights live at the intersection of numbers and stories. 🔢📖

Save this one. Your next research project will thank you.

What method do you lean on more — quant or qual? Drop it in the comments 👇

03/05/2026

Your methodology chapter is not just a formality — it’s the backbone of your entire research. 🦴

Yet it’s the chapter where most social science students quietly lose marks without knowing why.

In this video, I’m breaking down the most common mistakes researchers make in their methodology chapters — and more importantly, *why* they keep happening.

Watch till the end — mistake #3 is more common than you think. 👀

💬 Drop a “📌” below if you’ve ever submitted a methodology chapter and felt unsure about it.

₦30,000 → ₦15,000. And worth every kobo.In 28 days you’ll go from guessing to knowing — how to ask the right questions, ...
14/04/2026

₦30,000 → ₦15,000. And worth every kobo.

In 28 days you’ll go from guessing to knowing — how to ask the right questions, clean messy data, run analysis, and present findings people actually listen to.

Excel. SPSS. R Studio. Google Forms. All covered. All practical.

This is for students, graduates, and business owners who want clarity — not vibes.

📩 DM us to secure your spot.
https://wa.me/+2347033446943

14/04/2026

If you understand this example, you understand ANOVA.

Most students think ANOVA is one of the hardest topics in statistics.

But the problem isn’t ANOVA.

The problem is how it’s taught.

ANOVA is simply answering a question you already deal with in real life:

If different choices lead to different outcomes…
are those differences actually real — or just random?

Think about it:

No caffeine.
One cup of coffee.
Multiple cups.

You already expect differences in performance.

ANOVA just helps you test whether those differences are meaningful, or just noise.

That’s what statistics really is:

Not formulas.
Not memorization.

But learning how to reason with data and uncertainty.

Once you understand the question,
the method becomes much easier.

If statistics makes you anxious, you’re not alone.Many students feel overwhelmed when they first encounter formulas, sta...
14/04/2026

If statistics makes you anxious, you’re not alone.

Many students feel overwhelmed when they first encounter formulas, statistical tests, and complex software outputs.

But here’s something experienced researchers eventually learn:

Statistics is not really about mathematics.

It’s about answering questions with data.

Questions like:
• Is this difference meaningful?
• Is there a real relationship here?
• Or could this pattern have happened by chance?

The formulas are just tools.

The real skill is learning how to think carefully about what your data is telling you.

Once you focus on the questions instead of the formulas, statistics becomes far less intimidating.

Students hear this comment from supervisors all the time:“Link your results to the literature.”And many think it simply ...
14/04/2026

Students hear this comment from supervisors all the time:

“Link your results to the literature.”

And many think it simply means adding more citations.

It doesn’t.

Citing literature shows that other studies exist.

Linking your results to literature explains how your findings compare with those studies.

For example:

If previous research shows that study time improves grades, but your results show only a small relationship, the important question becomes:

Why?

Maybe your participants studied differently.
Maybe other factors influenced performance.
Maybe the relationship works differently in your context.

When you explore those explanations, you’re doing the real work of research.

Because research isn’t just about reporting results.

It’s about understanding how those results fit into the bigger picture of what we already know.

If your results weren’t exciting, you probably thought you did something wrong.You didn’t.Research is about reducing unc...
14/04/2026

If your results weren’t exciting, you probably thought you did something wrong.

You didn’t.

Research is about reducing uncertainty — not producing drama.

A small effect.
No clear relationship.
A hypothesis not supported.

These are not failures. They are clarity.
Good research measures carefully and reports honestly. It doesn’t necessarily chase applause.

Your results don’t need fireworks to be valuable.

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