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Methodological Studies

Estimating the Importance of Families in Modeling Educational Achievement Using Linked Swedish Administrative Data

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 106-133 | Received 16 Jun 2020, Accepted 10 Jan 2022, Published online: 26 Apr 2022

Figures & data

Table 1. Descriptive statistics for child and family characteristics.

Table 2. Single-cohort twins approach models fitted to the Sweden 2007 data.

Table 3. Multiple-cohort siblings approach models fitted to the Sweden 2006–2009 data.

Figure 1. Variance partition coefficients for the three series of student achievement models using the (1) Sweden 2007 data and the twin definition of families (, models 1.1, 1.2 and 1.3); and (2) Sweden 2006–2009 data and the fuller definition of families (, models 2.1, 2.2 and 2.3).

Figure 1. Variance partition coefficients for the three series of student achievement models using the (1) Sweden 2007 data and the twin definition of families (Table 2, models 1.1, 1.2 and 1.3); and (2) Sweden 2006–2009 data and the fuller definition of families (Table 3, models 2.1, 2.2 and 2.3).

Figure 2. Predicted differences in achievement (SD units) relative to a one-child family by birth order for each family size using the Sweden 2006–2009 data and the fuller definition of families (, model 2.4).

Figure 2. Predicted differences in achievement (SD units) relative to a one-child family by birth order for each family size using the Sweden 2006–2009 data and the fuller definition of families (Table 3, model 2.4).

Table 4. Unconditional (Model 2.3) and conditional (Model 2.4) intraclass correlation coefficients for student achievement among siblings, neighbors, and schools.

Supplemental material

SWE_JREE_Revisions2_Annotated_Runmlwin_Code_V01.docx

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SWE_JREE_Revisions2_Supplementary_Materials_V1.2.docx

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