Adjudication is the process of determining whether the data released were “fit-for-use” as intended. The issues examined concerned, among others, adapting the questionnaire to national context, translation and verification, quality of the sampling frame, handling of out-of-scope and refusal units (i.e. staff and/or setting), within‑setting sampling, data collection, data cleaning, the reports of quality observers, participation rates and overall compliance with the technical standards.
During the adjudication session, each individual dataset (i.e. one per level of ECEC per country or subnational entity) was submitted to the same examination. Leader/setting participation was adjudicated independently of staff data.
Once each survey process had been assessed, a recommended adjudication rating was formulated. While the rating was mostly dictated by the participation rate thresholds set in the TALIS 2024 Technical Standards (see Table A B.1 and Table A B.2), the adjudication committee at times improved the rating of a dataset if, after expert consideration, unique and favourable conditions were met (e.g. closeness to the threshold value and/or the non-response bias analysis report showing evidence for negligible bias risks).
To note, the adjudication rating is made at the ECEC system level. However, participation rates are just one potential source of non-response bias and potential non-response bias is specific to each statistical estimate from the survey data. Therefore, some estimates of systems with an adjudication rating of “good” might still have a high non-response bias; correspondingly, some estimates of systems with an adjudication rating of “poor” might still be reliable. For example, if staff with a particular characteristic systematically do not respond to a specific question in a system with a “good” rating, but that question is answered by all staff in a system with a “poor” rating, estimates based on that question may be more affected by non‑response bias in the “good” system compared to the “poor” system. For more detailed information, please refer to the TALIS 2024 Technical Report (OECD, forthcoming[1]).
At its January 2025 meeting in Paris, the TALIS 2024 Technical Advisory Group (TAG) recommended that data from all participating countries and subnational entities be weighted and displayed in tables, regardless of the adjudication ratings. The TAG further recommended clearly indicating to readers when data were rated as “insufficient,” due to the greater risk of non-response bias in these samples. TALIS Starting Strong 2024 data from New Zealand were deemed an exception to this general principle, although the TAG supported presenting these data with the caveat that they are not representative of the population targeted by the survey.
Based on these recommendations, countries and subnational entities with “insufficient” ratings are flagged (*) in tables and figures with the note: Estimates should be interpreted with caution due to a higher risk of non-response bias. Data from New Zealand are visually separated in tables and figures and are flagged (**) in tables, figures and the text with the note: Data only represent respondents included in the sample and not the population targeted by the survey. No distinctions are made in the report for data rated as “good”, “fair” or “poor”; more detailed implications of these ratings are described in the TALIS 2024 Technical Report (OECD, forthcoming[1]).