The purpose of this article is to examine the relationship between preservice teachers' general self-esteem and mathematics achievement through the inclusion of variables that are supported by recent research in psychology and social cognitive theory. A structural equation model is used to examine the paths from mathematics achievement to general self-esteem and vice versa. To this end, the concepts of self-esteem and the relationships between self-esteem and academic achievement are first explained, followed by a description of the baseline model that was used for the analysis of the data. The methodology of the study, with emphasis on the description of the intervening variables, is then summarized. Last, the results of the study are discussed and conclusions are drawn from the main findings. Copyright 2001 Academic Press.
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http://dx.doi.org/10.1006/ceps.1999.1028 | DOI Listing |
BMC Cancer
January 2025
Department of Radiology, Xiangtan Central Hospital, Xiangtan, 411000, P. R. China.
Background: This study aims to quantify intratumoral heterogeneity (ITH) using preoperative CT image and evaluate its ability to predict pathological high-grade patterns, specifically micropapillary and/or solid components (MP/S), in patients diagnosed with clinical stage I solid lung adenocarcinoma (LADC).
Methods: In this retrospective study, we enrolled 457 patients who were postoperatively diagnosed with clinical stage I solid LADC from two medical centers, assigning them to either a training set (n = 304) or a test set (n = 153). Sub-regions within the tumor were identified using the K-means method.
BMC Med Ethics
January 2025
Department of Obstetrics, Gynaecology and Women's Health, University of Otago, Wellington, Aotearoa, New Zealand.
Background: Being able to measure informed choice represents a mechanism for service evaluation to monitor whether informed choice is achieved in practice. Approaches to measuring informed choice to date have been based in the biomedical hegemony. Overlooked is the effect of epistemic positioning, that is, how people are positioned as credible knowers in relation to knowledge tested as being relevant for informed choice.
View Article and Find Full Text PDFInt J Radiat Oncol Biol Phys
January 2025
Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
Purpose: Deep learning is a promising approach to increase reproducibility and time-efficiency of GTV delineation in head and neck cancer, but model evaluation primarily relies on manual GTV delineations as reference annotation, which are subjective and tend to overestimate tumor volume. This study aimed to validate a deep learning model for laryngeal and hypopharyngeal GTV segmentation with pathology and to compare its performance with clinicians' manual delineations.
Materials And Methods: A retrospective dataset of 193 laryngeal and hypopharyngeal cancer patients was used to train a deep learning model with clinical GTV delineations as reference.
BMC Public Health
January 2025
School of Psychology, Guizhou Normal University, Huaxi University Town, Guiyang, Guizhou, 550025, China.
Background: Previous research paid more attention to the negative effects of the bullying on psychological distress, such as anxiety and depression. However, few studies explored the underlying mechanism between bullying and mathematics achievement. The purpose of this study was to explore the direct and indirect effects of school bullying on mathematics achievement among Chinese eighth grade students.
View Article and Find Full Text PDFBMC Pediatr
January 2025
Biomedical Center Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, 036 01, Slovakia.
The purpose of this study was to predict an academic achievement model based on cardiorespiratory fitness (CRF) and body mass index (BMI) in ninth-graders. The study sample included 6 530 adolescents from 341 public schools in Slovakia. Criterion-referenced competency tests measuring academic performance in mathematics and mother language (Slovak), CRF, and BMI were assessed in the academic year 2022-2023.
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