Psychometric properties of an instrument that measures teacher digital competence in Mexican teachers of different educational levels

Abstract

The study aimed to analyze the psychometric properties of the Digital Literacy Level Identification Questionnaire (CINAD) using Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). A total of 1204 Mexican elementary (pre-school, primary, and secondary), and upper secondary teachers, were selected through a convenience sample. Aged between 20 and 40 years (77 %, M = 33.38, SD = 9.53) participated in the study. The EFA allowed confirming the proposed theoretical structure of three factors: technological, informational, and pedagogical, and a reduction for the instrument from 52 to 42 items. The results of the CFA indicated that the adjusted model (36 items) better represents the data and that it is reliable and invariant between educational levels. It concluded that the CINAD presents adequate psychometric properties to measure teachers' digital skills at the four levels of education included in this study.