Gender Encoding in Gender Diverse and Gender Conforming Children

Previous research suggests that people encode gender starting in childhood. The present research asked whether gender diverse children (i.e., children whose gender identity or expression differs from that expected based on assigned sex) encode gender. Results showed that 3- to 5-year-old gender diverse participants (N = 71), siblings of gender diverse children (N = 52), and gender conforming controls (N = 69) did not significantly differ in degree of gender encoding. These results converge with prior research to suggest that gender diverse children process gender in ways that do not differ from gender conforming children, and provide further evidence that gender encoding may be a common aspect of person perception in societies that support a binary view of gender.     

A Comparison of Label Switching Algorithms in the Context of Growth Mixture Models

Simulation studies involving mixture models inevitably aggregate parameter estimates and other output across numerous replications. A primary issue that arises in these methodological investigations is label switching. The current study compares several label switching corrections that are commonly used when dealing with mixture models. A growth mixture model is used in this simulation study, and the design crosses three manipulated variables—number of latent classes, latent class probabilities, and class separation, yielding a total of 18 conditions. Within each of these conditions, the accuracy of a priori identifiability constraints, a priori training of the algorithm, and four post hoc algorithms developed by Tueller et al.; Cho; Stephens; and Rodriguez and Walker are tested to determine their classification accuracy. Findings reveal that, of all a priori methods, training of the algorithm leads to the most accurate classification under all conditions. In a case where an a priori algorithm is not selected, Rodriguez and Walker’s algorithm is an excellent choice if interested specifically in aggregating class output without consideration as to whether the classes are accurately ordered. Using any of the post hoc algorithms tested yields improvement over baseline accuracy and is most effective under two-class models when class separation is high. This study found that if the class constraint algorithm was used a priori, it should be combined with a post hoc algorithm for accurate classification.     

Parents’ Talk About Letters With Their Young Children

A literacy‐related activity that occurs in children's homes—talk about letters in everyday conversations—was examined using data from 50 children who were visited every 4 months between 14 and 50 months. Parents talked about some letters, including those that are common in English words and the first letter of their children's names, especially often. Parents’ focus on the child's initial was especially strong in families of higher socioeconomic status, and the extent to which parents talked about the child's initial during the later sessions of the study was related to the children's kindergarten reading skill. Conversations that included the child's initial were longer than those that did not, and parents presented a variety of information about this letter.     

Learning science through talking science in elementary classroom

Elementary students in grade two make sense of science ideas and knowledge through their contextual experiences. Mattis Lundin and Britt Jakobson find in their research that early grade students have sophisticated understandings of human anatomy and physiology. In order to understand what students’ know about human body and various systems, both drawings and spoken responses provide rich evidence of their understanding of the connections between science drawings and verbal explanations. In this forum contribution, we present several theoretical connections between everyday language and science communication and argue that building communication skills in science are essential. We also discuss how young participants should be valued and supported in research. Finally we discuss the need for multimodal research methods when the research participants are young.     

Metacognitive development and moving away

It is now largely accepted that social and cultural factors have a significant impact on cognitive development in children. Piaget acknowledged the impact of social factors and peer interaction on cognitive development. However, there has been relatively little work on the impact of social and cultural factors on the development of metacognition in first‐year university students. Using the Learning and study strategies inventory (LASSI) as a measure of metacognition, this study samples first‐year undergraduates in Hong Kong (N = 1815) and identifies significant differences in metacognitive abilities between students living in their home environment and those who have moved away from their family and, in some cases, culture, to pursue undergraduate education.     

The Influence of Interactive Learning Materials on Solving Tasks That Require Different Types of Mathematical Reasoning

International Journal of Science and Mathematics Education - The purpose of this study is to analyse the effects of the Interactive Learning Materials Triangle (iLMT) on the learning and knowledge...     

Existential career guidance for groups of young refugees and migrants: a Danish initiative

International Journal for Educational and Vocational Guidance - For many young migrants and refugees, adapting to a new life in Denmark is a challenging process. They often find themselves...