AI trong học thuật
Having AI label 20,000 student comments in an afternoon is entirely feasible. But once those labels become variables, the model is a measurement instrument and
Phương pháp nghiên cứu
Post a survey link with a reward in a big social media group and you may wake to 1,200 responses. A good share could be bots, speeders or one person submitting
Phương pháp nghiên cứu
Counting how often newspapers mention vocational education sounds easy until two coders read the same article and disagree. Here is how to design a content anal
Phương pháp nghiên cứu
“Control for as many variables as possible” is bad advice. Some variables must be controlled, others must never be. This guide uses causal diagrams to separate
Phương pháp nghiên cứu
Projects often fail at the step where an abstract concept becomes a number. This guide walks through four layers, definition, dimensions, indicators and recordi
Phương pháp nghiên cứu
Longitudinal studies lose people faster than planned: 70 per cent at wave two, half by wave three. Here is how to space waves, keep contact, link identifiers an
Phương pháp nghiên cứu
National survey datasets offer tens of thousands of households, free and already cleaned. Ignore the sampling weights, misread a missing-value code or merge wav
Phương pháp nghiên cứu
A focus group is not eight interviews run at once to save time. This guide covers when to use one, how to compose groups, how to moderate so everyone speaks, an
Phương pháp nghiên cứu
Three weeks watching a classroom or a market can leave you with a few pages saying “lively atmosphere”. Here is how to observe with purpose and write field note
Phương pháp nghiên cứu
Systematic reviews rarely fail in the writing. They fail in searching and screening: a narrow search string, a lone screener, no record of exclusion reasons. He
Phương pháp nghiên cứu
Many theses call a single-company survey a “case study”. Here is how to define the case, set its boundaries, triangulate evidence and generalise to theory rathe
Thạc sĩ và tiến sĩ
The first year of a PhD is the freest and the easiest to lose. No weekly assignments, no exams, just a fuzzy topic and a mountain of reading. What to do in year
