| Literature DB >> 31681101 |
Penelope W St J Watson1, Christine M Rubie-Davies1, Kane Meissel1.
Abstract
The underrepresentation of females in mathematics-related fields may be explained by gender differences in mathematics self-concept (rather than ability) favoring males. Mathematics self-concept typically declines with student age, differs with student ethnicity, and is sensitive to teacher influence in early schooling. We investigated whether change in mathematics self-concept occurred within the context of a longitudinal intervention to raise and sustain teacher expectations of student achievement. This experimental study was conducted with a large sample of New Zealand primary school students and their teachers. Data were analyzed using longitudinal multilevel modeling with mathematics self-concept as the dependent variable and time (which represents students' increasing age each year), gender, and ethnicity entered as predictors and achievement in mathematics included as a control variable. Interaction terms were also explored to investigate changes over time for different groups. All students demonstrated a small increase in mathematics self-concept over the 3-year period of the current study but mathematics self-concept was consistently greater for boys than girls. Māori, Asian, and Other students' initial mathematics self-concept was higher than that of New Zealand European and Pacific Islanders' (after controlling for achievement differences). However, a statistically significant decline in mathematics self-concept occurred for Māori students alone by the end of the study. The expected age-related reduction over time in student mathematics self-concept appeared to be mitigated in association with the longitudinal study. Nevertheless, the demonstration of a comparatively lower mathematics self-concept remained for girls overall and declined for Māori. Our results reinforce implications for future research into mathematics self-concept as a possible determinant of female student career choices.Entities:
Keywords: age; career choice; ethnicity; gender; mathematics self-concept
Year: 2019 PMID: 31681101 PMCID: PMC6805775 DOI: 10.3389/fpsyg.2019.02307
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Participant demographic information (student n at baseline = 1,739; school n = 11).
| 49.8% | 50.2% | |||||
| 47.4% | 17.8% | 16.2% | 15.9% | 2.7% | ||
| 8.1% | 18.3% | 19.2% | 19.3% | 17.5% | 17.5% | |
Descriptive statistics for mathematics self concept and mathematics achievement.
| Maths self concept | BOY 11 | 1739 | 3.66 | 1.03 |
| EOY 1 | 1015 | 3.75 | 0.97 | |
| BOY 2 | 672 | 3.68 | 0.96 | |
| EOY 2 | 526 | 3.64 | 0.98 | |
| BOY 3 | 266 | 3.88 | 0.93 | |
| EOY 3 | 242 | 3.79 | 0.86 | |
| Total | 4460 | 3.70 | 0.98 | |
| Maths achievement | BOY 1 | 1739 | –0.064 | 0.786 |
| EOY 1 | 1015 | 0.101 | 0.867 | |
| BOY 2 | 672 | –0.045 | 0.755 | |
| EOY 2 | 526 | –0.057 | 0.764 | |
| BOY 3 | 266 | –0.231 | 0.701 | |
| EOY 3 | 242 | –0.040 | 0.659 | |
| Total | 4460 | –0.032 | 0.791 |
Multilevel model exploring socio-demographic predictors of standardized mathematics self-concept within a New Zealand elementary student sample.
| Intercept | 0.007 | 0.069 | <0.001 | –0.101 | 0.067 | 0.132 |
| 0.029 | 0.007 | <0.001 | ||||
| e-asTTle Maths vs. Norm† | 0.119 | 0.015 | <0.001 | |||
| Age (grand-mean centered) | –0.048 | 0.015 | 0.001 | |||
| Female | –0.197 | 0.043 | <0.001 | |||
| Māori | 0.209 | 0.062 | <0.001 | |||
| Pasifika | 0.354 | 0.067 | <0.001 | |||
| Asian | 0.448 | 0.064 | <0.001 | |||
| Other ethnicity | 0.567 | 0.136 | <0.001 | |||
| Female student × time | –0.012 | 0.007 | 0.087 | |||
| Māori student × time | –0.023 | 0.01 | 0.02 | |||
| Pasifika student × time | –0.012 | 0.01 | 0.23 | |||
| Asian student × time | –0.016 | 0.011 | 0.146 | |||
| Other ethnicity × time | –0.038 | 0.023 | 0.098 | |||
| Between school variance | 0.056 [6.07%] | 0.025 | 0.034 | 0.034 [3.7%] | 0.016 | 0.033 |
| Between student variance ( | 0.542 [58.7%] | 0.025 | <0.001 | 0.461 [49.9%] | 0.023 | <0.001 |
| Repeated measures variance ( | 0.423 [45.8%] | 0.012 | <0.001 | 0.428 [46.3%] | 0.012 | <0.001 |
| −2∗log likelihood | 11,301.33 | 11,115.92 | ||||