RESEARCH & STATISTICS GUIDE with F. A. Oyeleye

🚀 Coming Soon: Step-by-Step Guide on Setting Up a Mendeley Account

Are you tired of spending endless hours trying to organize your references manually? Or struggling with citations while writing your thesis, dissertation, or journal article?


You’re not alone!!


This is why I’m excited to announce the premiere of a brand-new training video on my YouTube Channel - *Research and Statistics Guide.*

🎥 Topic: Step-by-Step Guide on Setting Up a Mendeley Account

📅 Premiere Date: 26th September, 2025
⏰ Time: 8:00 PM (WAT)


In this video, I’ll take you by the hand and walk you through:

✅ How to create your free Mendeley account in minutes

✅ Tips to personalize your profile for seamless research collaboration

✅ Setting up your library so you can start saving and organizing references right away

✅ Getting ready to cite sources effortlessly in your academic writing


This is not just another tutorial — it’s a practical, beginner-friendly guide designed for lecturers, graduate students, and researchers who want to save time, reduce stress, and work smarter with their references.

✨ Imagine never having to manually format your citations again. With Mendeley, that dream becomes reality, and this video will show you exactly how to get started.


🔔 Why You Shouldn’t Miss It

You’ll gain clarity on a tool used worldwide by serious researchers.

You’ll be ready to integrate Mendeley into your academic workflow.

You’ll set yourself up for success in your writing and publishing journey.


👉 Subscribe now to *Research and Statistics Guide* (bit.ly/LearnwithFAO) and turn on the notification bell 🔔 so you’ll be the first to know when the video goes live on 26th September, 2025, at 8:00 PM.

Let’s build a smarter, more efficient research community together. 💡


Team Lead,
Research & Statistics Guide

https://youtu.be/07D2xM-_3w0

3 months ago | [YT] | 1

RESEARCH & STATISTICS GUIDE with F. A. Oyeleye

Which part of the research do you find most challenging? Tell me why in the comments — I may feature your response in the next video!

3 months ago | [YT] | 0

RESEARCH & STATISTICS GUIDE with F. A. Oyeleye

Which is harder?

3 months ago | [YT] | 1

RESEARCH & STATISTICS GUIDE with F. A. Oyeleye

REFRESHER COURSE FOR RESEARCHER

RESEARCH AND STATISTICS GUIDE TEAM
________________________________________
3-Week Refresher Course: Statistics & Research for University Teachers and Researchers
________________________________________
Week 1: Foundations and Data Handling
Day 1 – Revisiting Research & Statistics Basics
• Role of statistics in research and decision-making.
• Types of data (qualitative vs quantitative).
• Scales of measurement (nominal, ordinal, interval, ratio).
• Populations, samples, parameters, and statistics.
• Class activity: Identify variables & scales from published research.
Day 2 – Descriptive Statistics Refresher
• Measures of central tendency (mean, median, mode).
• Measures of dispersion (range, variance, standard deviation, IQR).
• Skewness & kurtosis.
• Hands-on exercise: Summarizing a dataset with SPSS/Excel.
Day 3 – Probability Concepts & Normal Distribution
• Probability rules & applications in research.
• Properties of the normal probability curve.
• Z-scores and standardization.
• Empirical Rule (68–95–99.7%).
• Class exercise: Interpret probabilities from real research scenarios.
________________________________________
Week 2: Inferential Statistics & Hypothesis Testing
Day 4 – Sampling & Sampling Distributions
• Probability vs non-probability sampling.
• Central Limit Theorem.
• Standard error and confidence intervals.
• Practical: Computing a 95% confidence interval for a mean.
Day 5 – Hypothesis Testing Framework
• Null vs alternative hypotheses.
• One-tailed vs two-tailed tests.
• Errors in hypothesis testing (Type I & II).
• p-values vs confidence levels.
• Case study: Testing a research claim with real data.
Day 6 – Parametric & Nonparametric Tests
• Parametric tests: t-test, ANOVA.
• Nonparametric tests: Chi-square, Mann-Whitney.
• When to use which test.
• Hands-on: Run and interpret one test using software.
________________________________________
Week 3: Multivariate Analysis & Research Applications
Day 7 – Correlation & Regression Analysis
• Pearson & Spearman correlation.
• Simple linear regression: model, assumptions, interpretation.
• Multiple regression basics.
• Activity: Interpreting regression output from SPSS/Excel.
Day 8 – Advanced Statistical Tools in Research
• Factor Analysis: Reducing variables & uncovering latent factors.
• Reliability & validity testing (Cronbach’s alpha).
• Application in questionnaire validation.
• Practical: Short factor analysis illustration.
Day 9 – Research Integration & Presentation
• Linking statistics to research questions & hypotheses.
• Interpreting & reporting results (APA/academic style).
• Avoiding misuse of statistics in research.
• Mini-presentation: Each participant explains a statistical result in plain language.
• Closing Q&A and wrap-up.
________________________________________

Structure of Each Session (1.5 hours)
• 15 min → Recap & motivation with real-world example.
• 45 min → Core lecture & explanations.
• 20 min → Hands-on/practical activity (using Excel/SPSS/other).
• 10 min → Discussion, Q&A, clarifications.
________________________________________
✅ By the end of 3 weeks, participants will:
• Refresh their grasp of core statistical concepts.
• Apply modern statistical tools to research.
• Confidently teach and guide students in statistics-based research.
________________________________________
________________________________________
6-Week Refresher Course: Statistics & Research for University Teachers and Researchers
(2 sessions per week, 1.5 hours per class)
________________________________________
Week 1: Foundations of Statistics in Research
Day 1 – Role of Statistics in Research
• Statistics in the research process.
• Data types & scales of measurement.
• Variables: independent, dependent, confounding.
• Examples from education, health, and social sciences.
Day 2 – Descriptive Statistics Refresher
• Central tendency (mean, median, mode).
• Dispersion (range, variance, SD, IQR).
• Graphical representations: histograms, boxplots, bar charts.
• Activity: Summarizing and visualizing a dataset.
________________________________________

Week 2: Probability & Normal Distribution
Day 3 – Probability in Research
• Probability rules.
• Independent vs dependent events.
• Applications in sampling and risk assessment.
• Activity: Apply probability concepts to research case scenarios.
Day 4 – Normal Probability Curve
• Properties of the normal curve.
• Standard normal distribution (Z-scores).
• Empirical Rule (68–95–99.7%).
• Class activity: Convert scores to Z and interpret.
________________________________________
Week 3: Sampling & Hypothesis Testing Framework
Day 5 – Sampling in Research
• Probability vs non-probability sampling.
• Sample size considerations.
• Central Limit Theorem & sampling distribution.
• Exercise: Determine sample size for a study.
Day 6 – Hypothesis Testing Basics
• Null & alternative hypotheses.
• One-tailed vs two-tailed tests.
• Type I and II errors.
• Activity: Frame hypotheses from a real research question.
________________________________________
Week 4: Statistical Tests for Research
Day 7 – Parametric Tests
• t-test (one-sample, independent, paired).
• One-way ANOVA basics.
• Practical example: Comparing group means.
Day 8 – Nonparametric Tests
• Chi-square test of independence.
• Mann-Whitney U, Wilcoxon Signed-Rank.
• When to use nonparametric tests.
• Exercise: Apply chi-square to a categorical dataset.
________________________________________
Week 5: Correlation, Regression & Reliability
Day 9 – Correlation & Regression
• Pearson vs Spearman correlation.
• Simple linear regression: assumptions & interpretation.
• Intro to multiple regression.
• Practical: Interpret regression output (SPSS/Excel).
Day 10 – Reliability & Validity in Research
• Reliability: Cronbach’s alpha.
• Validity: construct, content, criterion.
• Application in questionnaire design.
• Activity: Assess reliability of a sample scale.
________________________________________
Week 6: Advanced Applications & Reporting
Day 11 – Factor Analysis in Research
• Concept of latent variables.
• Exploratory Factor Analysis (EFA).
• Steps: extraction, rotation, interpretation.
• Illustration: Reducing survey items into factors.
Day 12 – Integrating Statistics into Research Reports
• Linking research questions, hypotheses, and statistical tests.
• Presenting results (APA/academic style).
• Common pitfalls in reporting statistics.
• Final activity: Participants interpret a dataset and present findings in plain language.
________________________________________

Session Structure (1.5 hours each)
• 10 min – Recap & warm-up example.
• 40 min – Core lecture with explanation.
• 30 min – Hands-on activity/case study.
• 10 min – Q&A and reflection.
________________________________________

✅ Learning Outcomes by Week 6
• Refreshed mastery of statistical foundations.
• Ability to select and apply correct tests for research.
• Competence in interpreting and reporting results.
• Improved confidence in teaching statistics to students.
________________________________________

💰 Fee
Full Course Fee (Individual Enrollment)
• 3-Week Course (9 sessions, 13.5 hrs total):
o Suggested fee: ₦200,000 per participant.
• 6-Week Course (12 sessions, 18 hrs total):
o Fee: ₦250,000 per participant.
Group Enrollment (Discounted)
If you enroll multiple lecturers together:
• 5–10 participants → ₦100,000 each.
• 10+ participants → ₦80,000 each.
Institutional Package
Offer to a university department as staff refresher training:
• 3-week package: ₦1,500,000 per cohort.
• 6-week package: ₦2,000,000 per cohort.
________________________________________
✅ Features
1. Bundle Value: Slides, datasets, and certificates of completion.
2. Flexibility: Installment payments for individuals.
3. Hybrid Model: Live classes + recorded access for revision.
4. Premium Justification: Training will improve participants’ teaching, supervision, and research credibility.


For more information, contact us:
Team Lead,
Research and Statistics Guide
+2348147560913
drfao2024@gmail.com

3 months ago (edited) | [YT] | 0

RESEARCH & STATISTICS GUIDE with F. A. Oyeleye

🎓 Invitation to a Special YouTube Live Stream.


Conducting survey research can be challenging. Designing the right questionnaire, validating it, and choosing the correct sampling technique often determine the quality of your results.

This live session will simplify these critical aspects and provide you with the tools to conduct surveys with confidence.



Are you an academic, researcher, or postgraduate student looking to strengthen your research skills?

Join us for an insightful live presentation on:
Survey Research: Questionnaire Design, Validation & Sampling Made Simple


📌 What You’ll Gain:
• Learn how to design effective questionnaires that capture accurate and reliable data.

• Understand the principles of validation to ensure your instruments meet research standards.

• Discover practical approaches to choosing the right sampling techniques for your study.

• Gain clarity on when sample size calculation is needed and when it’s not.

• Access practical illustrations tailored to the Nigerian research context.

This live session is carefully designed to provide both theoretical clarity and practical insights that will make your next research project easier, faster, and more impactful.

👉 Register now by clicking the link https://youtu.be/3JHsFXGazMA to subscribe to the channel so you receive timely notifications.

Don’t miss this opportunity to sharpen your research skills and engage with knowledge that will set your academic work apart.

📅 Date: September 12, 2025
🕒 Time: 8:00 PM
📍 Venue: YouTube Live
🔗 https://youtu.be/3JHsFXGazMA


Make your research journey simpler, smarter, and more effective. See you at the live stream!


Team Lead
Research & Statistics Guide
Convener

3 months ago | [YT] | 2

RESEARCH & STATISTICS GUIDE with F. A. Oyeleye

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RESEARCH & STATISTICS GUIDE with F. A. Oyeleye

4 months ago | [YT] | 0

RESEARCH & STATISTICS GUIDE with F. A. Oyeleye

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RESEARCH & STATISTICS GUIDE with F. A. Oyeleye

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