Anyone can run the test. Explaining why that test and what the number means for your hypothesis is the chapter — that's what fourteen years of SPSS, SmartPLS and AMOS work has taught Chee Keong.
No marketing biography. Here is the qualification, the experience and the working method — so you can judge whether they are right for your thesis.
Chee Keong holds an MSc in Applied Statistics from Universiti Putra Malaysia and has specialised in quantitative analysis support since graduating, working across SPSS for standard statistical testing and SmartPLS or AMOS for structural equation modelling.
He has supported students across business, education, psychology and social science programmes at UPM, UM and several other public universities, with particular depth in questionnaire design and pilot testing — decisions made before data collection that determine what analysis is even possible afterward.
His view is that most analysis chapters fail not because the statistics are wrong, but because the write-up never explains what a significant or non-significant result actually means for the research question.
If data has already been collected, he starts with reliability and validity checks before running any substantive analysis — a weak instrument produces results that cannot be trusted regardless of what test is used.
Every output table is paired with a plain-language explanation of what it means for your specific hypothesis, not a generic statistical description. This is what turns a set of SPSS or SmartPLS screenshots into a findings chapter an examiner can follow.
Include your supervisor's comments and your faculty guideline document. You'll get a scope and a price back, not a sales call.
Get a Free Quote →These are the areas they take on themselves. Anything outside them gets routed to the specialist who covers it — you are told who, and why.
Reliability testing, EFA, regression and ANOVA run and written up as an argument, not a set of unexplained tables.
SmartPLS and AMOS structural equation modelling output turned into a findings chapter your examiner can follow hypothesis by hypothesis.
Instrument design and pilot testing done properly before data collection, so the analysis that follows is actually defensible.
Quantitative chapters for MBA and DBA research requiring SEM-based hypothesis testing.
Not sure whether your chapter falls inside Chee Keong's scope?Send it anyway. If it is not their field, we will tell you which specialist it belongs to before you pay anything.
Ask Chee Keong →"I ran my own SPSS analysis but the write-up made no sense to my supervisor. He rewrote it so every table connected back to my actual hypotheses. Night and day difference."
"My pilot test showed my instrument's reliability was too low and we caught it before full data collection. That single check saved me from redoing everything later."
"SmartPLS output is intimidating on its own. He explained exactly what each path coefficient meant for my model and I could answer every question in my defence."
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