There are consistent correlations between mathematics achievement, attitudes, and anxiety, but the longitudinal relations among these constructs are not well understood nor are sex differences in these relations. To address this gap, mathematics achievement, attitudes, and anxiety were longitudinally assessed for 342 (169 boys) adolescents from 7th to 9th grade, inclusive, and Latent Growth Curve Models were used to assess the relations among these traits and developmental change in them. Spatial abilities (7th, 8th grade) and trait anxiety (8th, 9th grade) were also assessed and used for control for sex differences in these traits. Overall, boys had stronger spatial abilities and more positive mathematics attitudes and were less anxious than girls, but there were no sex differences in mathematics achievement. Across grades, mathematics achievement improved, attitudes became less positive, and anxiety increased for both boys and girls. Higher than average cross-grade growth in mathematics achievement mitigated boys' developmental declines in mathematics attitudes and increases in anxiety. Girls with strong spatial abilities had lower mathematics anxiety, but girls overall maintained higher mathematics anxiety and less positive mathematics attitudes relative to boys, even when they showed strong cross-grade gains in mathematics achievement. The study demonstrated that longitudinal gains in mathematics are associated with cross-grade changes in attitudes and anxiety but with several different developmental patterns for boys and girls.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624155 | PMC |
http://dx.doi.org/10.1037/edu0000793 | DOI Listing |
Bioresour Technol
December 2024
School of Civil, Environmental and Architectural Engineering, Korea University, Seoul 02841, South Korea; KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul 02841, South Korea. Electronic address:
A comprehensive understanding of microbial assembly is essential for achieving stable performance in biological wastewater treatment. Nevertheless, few studies have quantified these phenomena in detail, particularly in anammox-based processes. This study integrated mathematical and microbial approaches to analyze a 330-day anammox reactor with stable nitrogen removal efficiency (97 - 99%) despite changes in the high nitrogen loading rate, nitrogen concentration, and hydraulic retention time.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
INFN-Laboratori Nazionali di Frascati, 00044 Frascati, Italy.
This study investigates the synthesis of corn starch nanocrystals (SNCs) via sulfuric acid hydrolysis. Esterification of oleic acid (OA) with SNCs was carried out using Maghnite-H as a catalyst, a non-polluting, eco-friendly proton-exchanged montmorillonite-based green catalyst suitable for various chemical processes. Optimization of synthesis parameters, including reaction temperature, duration, and catalyst quantity, was conducted using response surface methodology (RSM) with a central composite design incorporating three factors and three levels.
View Article and Find Full Text PDFTalanta
December 2024
Hyphenated Mass Spectrometry Laboratory, Faculty of Science, University of Technology Sydney, PO Box 123, Broadway, 2007 NSW, Australia; School of Life Sciences, Faculty of Science, University of Technology Sydney, PO Box 123, Broadway, 2007 NSW, Australia.
The importance of sample preparation selection if often overlooked particularly for untargeted multi-omics approaches that gained popularity in recent years. To minimize issues with sample heterogeneity and additional freeze-thaw cycles during sample splitting, multiple -omics datasets (e.g.
View Article and Find Full Text PDFUltrasonics
December 2024
Faculty of Information Technology, Beijing University of Technology, Beijing, China.
The thickness loss caused by corrosion is a vital factor that threatens the health of shell structures. It is significant to perform a non-destructive quantitative evaluation of corrosion-thinning defects in plate structures. Based on the laser ultrasonic guided wavefield scanning technology, this paper proposes an instantaneous wavenumber multi-shot fusion method, which improves the performance of the instantaneous wavenumber imaging method.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Industrial & Management Engineering, Korea National University of Transportation, Chungju, South Korea.
Credit scoring models play a crucial role for financial institutions in evaluating borrower risk and sustaining profitability. Logistic regression is widely used in credit scoring due to its robustness, interpretability, and computational efficiency; however, its predictive power decreases when applied to complex or non-linear datasets, resulting in reduced accuracy. In contrast, tree-based machine learning models often provide enhanced predictive performance but struggle with interpretability.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!