Cross-sectional Study

A cross-sectional study collects data from participants at a single point in time, producing a snapshot of the population as it stands. It is the dominant design in thesis research because it is fast, inexpensive and feasible within the timeframe of a degree.

Its central limitation is causal inference. Because predictor and outcome are measured simultaneously, the design cannot establish temporal precedence, so a significant path shows association rather than causation. This matters most when the study tests mediation, which is inherently a claim about a causal sequence.

Write the limitation into your thesis explicitly rather than hoping an examiner overlooks it, and consider partial safeguards: collecting predictor and outcome data at separated intervals, using different sources for different constructs, or applying Harman's single-factor test and a marker variable to assess common method bias.