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Articles

Refining the Spady–Tinto approach: the roles of individual characteristics and institutional support in students’ higher education dropout intentions in Luxembourg

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Pages 409-428 | Received 28 Oct 2021, Accepted 16 Mar 2022, Published online: 29 Mar 2022

Figures & data

Figure 1. Conceptual core of the Tinto Model and additional feature. Note: adapted depiction, based on Tinto (Citation1975).

Figure 1. Conceptual core of the Tinto Model and additional feature. Note: adapted depiction, based on Tinto (Citation1975).

Table 1. Overview of variables and operationalisation of major concepts.

Figure 2. Dropout intentions by selected variables (in percent). Data Source: Eurostudent VII Luxembourg, N = 871, weighted (age, gender, nationality, study programme/degree type, field of study).

Figure 2. Dropout intentions by selected variables (in percent). Data Source: Eurostudent VII Luxembourg, N = 871, weighted (age, gender, nationality, study programme/degree type, field of study).

Figure 3. Structural equation model on intentions to drop out from HE and study programme. Notes: Mplus, ESTIMATOR = WLSMV, standardised estimates (* Significance level: p ≤ .05), Clusters: study programmes. Goodness of Fit: Χ2 = 51.048, df = 35, p = .039; RMSEA = .025W. Data Source: Eurostudent VII Luxembourg, N = 744, weighted (age, gender, nationality, study programme/degree type, field of study).

Figure 3. Structural equation model on intentions to drop out from HE and study programme. Notes: Mplus, ESTIMATOR = WLSMV, standardised estimates (* Significance level: p ≤ .05), Clusters: study programmes. Goodness of Fit: Χ2 = 51.048, df = 35, p = .039; RMSEA = .025W. Data Source: Eurostudent VII Luxembourg, N = 744, weighted (age, gender, nationality, study programme/degree type, field of study).

Data availability statement

Data relates to the international project EUROSTUDENT VII and is available upon request. The data are ethics-approved.