Digital Readiness of Pre-Service Primary School English Language Teachers: Raw Survey Data (DAS-TPACK Ukraine)

This record contains data supporting the study "Technological Pedagogical Content Knowledge Development in Conflict-Affected Contexts: A Ukrainian Wartime Study." File 1 — DAS_Анкетування_Погляди майбутніх вчителів початкових класів на готовність до застосування цифрових технологій на уроках англійської мови (.xlsx) Contains the anonymised raw response data collected in a quantitative study examining the self-assessed technological pedagogical content knowledge (TPACK) of pre-service primary school English language teachers in Ukraine. Data were collected via Google Forms from students enrolled in Bachelor's and Master's degree programmes in Primary Education (спеціальність «Початкова освіта») at a Ukrainian higher education institution. Participation was voluntary. No personally identifiable information was collected or is included in this dataset. Each row represents one respondent. Column headers use item codes corresponding to the survey instrument (deposited separately, see Related identifiers). Scale items (CK1–CK4, PK1–PK5, TK1–TK5, PCK1–PCK4, TCK1–TCK5, TPK1–TPK5, TPACK1–TPACK4) were rated on a 5-point Likert scale (1 = strongly disagree, 5 = strongly agree). In addition to raw responses, the file includes computed variance and mean score per item and Cronbach's alpha reliability coefficients calculated for each of the seven TPACK subscales, provided at the bottom of the dataset sheet and in the columns following each subscale, intended to facilitate replication and further analysis. File 2 — TPACK_Item_Level_Descriptives (.xlsx) Contains supplementary descriptive statistics for the adapted 32-item TPACK survey instrument (N = 64). The file includes two sheets. Sheet 1 — All Items presents item-level descriptive statistics (Mean, Median, SD, Skewness, Kurtosis, Min, Max) for all 32 survey items, organised by subscale and colour-coded for readability. Sheet 2 — Subscale Overview presents aggregated descriptive statistics at the subscale level, including a ranking of all seven subscales by mean score. Item-level statistics were generated in JASP (v. 0.19). Subscale-level statistics were computed in Microsoft Excel using participant-level item averages. Data were organised and formatted using Claude (Anthropic).