Saturday Intensive · 9:00 AM – 1:00 PM

Quantitative Research
in the Age of AI & Data Science

A doctoral-level programme for PhD and DBA candidates. Register to access the full lecture, datasets, live quiz, and class dashboard.

🔒 Full 4-Hour Lecture
🔒 SPSS & SEM Datasets
🔒 Live Quiz
🔒 Class Intelligence Dashboard
🔒 PDF Slides

Five Modules in Four Hours

Everything is self-contained on this website. You need nothing else except SPSS and SmartPLS for the live demos.

🧭
Module 1 — Foundations
Research paradigms, ontology, epistemology, positivism, and the four measurement scales.
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Module 2 — Descriptive Statistics
Central tendency, the four moments, normal distribution, skewness, kurtosis.
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Module 3 — Inferential Statistics
T-tests, Chi-square, correlation, regression, p-values. Hands-on with SPSS.
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Module 4 — SEM & SmartPLS
PLS-SEM vs CB-SEM, reflective models, AVE, CR, path coefficients. Live SmartPLS demo.
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✍️
Module 5 — Writing Up Results
APA format, interpreting outputs, AI-assisted writing, what examiners look for.
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Live Quiz — 4 Rounds
Interactive quizzes after each module. Real-time results visible to the whole class.
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Dr. Teik-Kheong Tan

TK
Dr. Teik-Kheong Tan
PhD · IEEE · Stanford University
→ LinkedIn Profile → tktan@ieee.org

Dr. Tan brings over 35 years of global leadership spanning Silicon Valley start-up exits, Fortune 500 consulting, and frontier AI research. Former CTO at Accenture, with roles at Cisco, NXP, FINRA, Johns Hopkins Medicine, and IMDA.

His research sits at the intersection of quantitative methodology and applied AI — using machine learning, SEM, and data science to tackle real-world management problems. He holds multiple wireless patents and has authored several books on AI, fintech, and data analytics.

This programme reflects his conviction that the next generation of doctoral researchers must be fluent in both classical statistics and AI-native methods.

AI RESEARCHSEM / PLS MACHINE LEARNINGFINTECH IOTCYBERSECURITY BLOCKCHAINIEEE FELLOW

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Complete your profile below. This takes 60 seconds and gives you immediate access to all course materials, the full lecture, datasets, and the live quiz.

Full 4-hour self-driven lecture
PDF slides & SPSS/SEM datasets
Live quiz with real-time class results
Live class intelligence dashboard
Retained for future cohorts — track your progress
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Quantitative Research Methods · Saturday Intensive

Your Class Dashboard

Access your lecture, materials, and the live quiz below. The class intelligence dashboard updates in real time as your classmates join.

📖
Full Lecture
Self-driven, scroll-through lecture covering all 5 modules. Start here. Works on any device, any location.
OPEN LECTURE →
Live Quiz
Launched by Dr. Tan during class. 4 rounds of 5 questions each. Results visible to everyone in real time.
OPEN QUIZ →
📄
Intro to Quantitative Analysis
PDF lecture slides — SPSS essentials, descriptive stats, inferential overview.
DOWNLOAD PDF →
📄
Descriptives, Graphing & Inferential
PDF deep dive — four moments, normal distribution, t-tests, correlation, regression.
DOWNLOAD PDF →
📄
Introduction to SEM & SmartPLS
PDF lecture — PLS-SEM theory, SmartPLS walkthrough, Deli99 case study.
DOWNLOAD PDF →
🗃️
Employee Dataset (SPSS)
ABC Company SAV file — used for all SPSS demonstrations in Module 3.
DOWNLOAD SAV →
📋
Deli99 Survey Dataset
CSV dataset — expectations, satisfaction, loyalty, quality constructs for SmartPLS.
DOWNLOAD CSV →
🔧
SmartPLS v3
Free for academic use. Download and install before the SEM module.
EXTERNAL DOWNLOAD →

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