Data Ecsinov (2019, n=298)

ECSINOV 2019 – Fair Trade and sustainability education indicator-development dataset This dataset was collected in France in 2019 as part of the ECSINOV project and was used as the preliminary indicator-development dataset for research on lightweight, multi-field monitoring of student-level outcomes associated with sustainability and Fair Trade education. The questionnaire examines four sustainability-related fields: Fair Trade, organic agriculture, local agriculture, and boycott of socially or environmentally irresponsible brands. Five candidate indicators were measured using six-point response formats: subjective knowledge (SK), perceived behavioral control (PBC), purchase intention (PI), Inclusion of Field in the Self (IFS), and recommendation intention (RI). IFS uses a graphical self–field overlap format adapted from the self-inclusion measurement tradition. The dataset also contains socio-demographic and contextual variables. The original ECSINOV dataset includes respondents outside the population subsequently retained for the indicator-development analyses. For the associated study, the analytical sample was restricted to respondents meeting the predefined age/population criteria, resulting in N = 298. This distinction between the deposited source dataset and the analytical sample should be taken into account when reproducing the reported analyses. ECSINOV was used to compare candidate indicators, examine descriptive and within-field relationships, investigate cross-field associations, and conduct exploratory hierarchical analyses of Fair Trade purchase and recommendation intentions. These analyses informed the selection of the parsimonious SK–IFS–RI indicator architecture subsequently applied and replicated in larger FAIR Future datasets. The data are made available to support transparency, reproducibility, secondary analysis and further methodological research. In particular, they allow further investigation of the relationships between self–field inclusion, perceived knowledge, perceived behavioral control, purchase intention and recommendation intention across sustainability-related fields. The dataset is cross-sectional and observational. Associations should not be interpreted as causal effects, and IFS should be regarded as an author-developed graphical indicator whose construct validity requires further independent investigation.