De-identified Data for Studies of Continuance Intention toward Digital English Testing in Chinese Higher Education

This restricted dataset contains de-identified participant-level survey data supporting a study of continuance intention toward digital English testing in Chinese higher education. The dataset comprises 385 undergraduate participants and includes demographic and use-context variables, item-level responses, and construct scores related to Perceived Ease of Use (PEOU), Perceived Usefulness (PU), and Continuance Intention (CI), together with additional technology-acceptance variables. The accompanying reproducibility materials include a detailed codebook, variable documentation, and Python analysis code implementing the focal PEOU–PU–CI PLS-PM model, measurement-model assessment, 5,000-resample bootstrap inference, bias-corrected and accelerated confidence intervals, MICOM measurement-invariance assessment, permutation-based multi-group analysis, Benjamini–Hochberg false-discovery-rate correction, conditional indirect-effect analysis, Q²_predict, and sensitivity diagnostics. Participant-level files are provided under restricted access because combinations of demographic, proficiency, device-use, and usage-purpose variables may increase re-identification risk. No direct identifiers such as participant names, email addresses, telephone numbers, or student numbers are included in the deposited dataset. Access may be granted for legitimate scholarly research subject to the conditions specified in the repository record.