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Research Article

Science career expectation and science-related motivation: a latent profile analysis using PISA 2015 data

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Received 30 Sep 2023, Accepted 05 Jun 2024, Published online: 02 Jul 2024

Figures & data

Figure 1. The synthesised science-related motivation and career expectation model.

Figure 1. The synthesised science-related motivation and career expectation model.

Table 1. Description of variables and their descriptive statistics.

Table 2. Correlations between the motivation indices used in latent profile analyses.

Table 3. Fit indexes of LPA models.

Figure 2. Latent profiles of student motivation.

Figure 2. Latent profiles of student motivation.

Table 4. Students’ profile differences in terms of science career expectation (SCEXP).

Table 5. Logistic regression of students’ profiles on science career expectation (SCEXP).

Table 6. Odds-ratio being in a profile as a function of IBTEACH, TDTEACH, SHOURS, OUTHOURS, and SCIEACT.

Table 7. Odds-ratio being in a profile as a function of gender and ESCS.

Data availability statement

The study represents a secondary data analysis of the public use PISA 2015 file provided by the OECD. The PISA 2015 Science data for China have been made publicly available by the OECD and can be accessed at: https://www.oecd.org/pisa/data/2015database/