The experience of well-being at school, both in the recesses and at school lessons, is of great importance for all students. The Norwegian school laws confirm that every student has the right to experience well-being at school, which will lead to healthiness and good learning. Literature search indicates that there is a lack of longitudinal…

Identifying change at the individual level is an important goal for researchers, educators, and clinicians. We present a set of statistical procedures for identifying individuals who depart from a normative change. Using Latent Change Scores models (LCS), we illustrate how the Individual Likelihood computed from a statistical model for change…

The Advisory Committee on Immunization Practices recommends routine human papillomavirus (HPV) immunization for 11- to 12-year-old adolescents. In 2008, Louisiana required the school boards to distribute HPV vaccine information to parents or guardian of students in Grades 6 to 12. This article investigates the impact of this policy on HPV…

For the past decade, the accountability model associated with No Child Left Behind (NCLB) emphasized proficiency on end of year tests; with Every Student Succeeds Act (ESSA) the emphasis on proficiency within statewide testing programs, though now integrated with other measures of student learning, nevertheless remains a primary metric for…

A refutation text is designed to promote conceptual change by explicitly acknowledging commonly held misconceptions about a topic, directly refuting them, and providing an accurate explanation. In this study, we determined the impact of different types of refutation texts on adolescent readers' conceptual change learning in science. Specifically,…

Latent transition analysis (LTA) was initially developed to provide a means of measuring change in dynamic latent variables. In this article, we illustrate the use of a cognitive diagnostic model, the DINA model, as the measurement model in a LTA, thereby demonstrating a means of analyzing change in cognitive skills over time. An example is…

Political interest is one of the most consistent predictors of political participation, but little research has examined how it develops. This study explores adolescents' political interest development during the 2012 U.S. presidential election. The research team collected and analyzed longitudinal data (surveys, interviews, observations) in high…

We compared two forms of automated guidance to support students' understanding of climate change in an online inquiry science unit. For "specific" guidance, we directly communicated ideas that were missing or misrepresented in student responses. For "knowledge integration" guidance, we provided hints or suggestions to motivate…

This study investigates the role of automated scoring and feedback in supporting students' construction of written scientific arguments while learning about factors that affect climate change in the classroom. The automated scoring and feedback technology was integrated into an online module. Students' written scientific argumentation occurred…

One of the universal responses to tackling global climate change is teaching climate change concepts at all levels of formal education. This response requires, among other things, teachers who are fully literate about climate change science, so that they can explain the concepts underlying the causes, impacts and solutions of climate change as…

Longitudinal changes in pupils' academic self-perception (as measured by Myself-As-a-Learner Scale [MALS]) were investigated between Year 6 and Year 10. The possibility of there being gender and attainment differences was also explored. There was a significant drop in mean MALS scores between Years 6 and 7. There was a further drop between Years 7…

Change in learning strategies during higher education is an important topic of research when considering students' approaches to learning. Regarding the statistical techniques used to analyse this change, repeated measures ANOVA is mostly relied upon. Recently, multilevel and multi-indicator latent growth (MILG) analyses have been used as well.…

Involvement in bullying and victimization has been mostly studied using cross-sectional data from 1 time point. As such, much of our understanding of bullying and victimization has not captured the dynamic experiences of youth over time. To examine the change of latent statuses in bullying and victimization, we applied latent transition analysis…

The practice of screening students to identify behavioral and emotional risk is gaining momentum, with limited guidance regarding the frequency with which screenings should occur. Screening frequency decisions are influenced by the stability of the constructs assessed and changes in risk status over time. This study investigated the 4-year…

Using a multilevel latent growth curve modeling (LGCM) approach, this study examined longitudinal change in levels of physical fitness performance over time (i.e. four years) in young adolescents aged from 12-13 years. The sample consisted of 6622 students from 138 secondary schools in Singapore. Initial analyses found between-school variation on…