Students' emotions in the classroom are highly dynamic and thus typically strongly vary from one moment to the next. Methodologies like experience sampling and daily diaries have been increasingly used to capture these momentary emotional states and its fluctuations. A recurring question is to what extent aggregated state ratings of emotions over…

As state and local education agencies increasingly focus on serving educators with their data systems, a common challenge has arisen: identifying the critical knowledge, skills, and behaviors needed by teachers and administrators to use data effectively. Many states are creating data literacy and data use training programs for pre- and in-service…

Correlated predictors in regression models are a fact of life in applied social science research. The extent to which they are correlated will influence the estimates and statistics associated with the other variables they are modeled along with. These effects, for example, may include enhanced regression coefficients for the other variables--a…

The growth in the availability of longitudinal data--data collected over time on the same individuals--as part of program evaluations has opened up exciting possibilities for evaluators to ask more nuanced questions about how individuals' outcomes change over time. However, in order to leverage longitudinal data to glean these important insights,…

The writing performance of many school-aged children is consistently below levels necessary to produce positive outcomes. Early intervention frameworks are designed to help remedy this problem before it becomes more severe, but a key feature of early intervention frameworks--the use of data for targeting interventions--has not been sufficiently…

The number of life events reported by study participants is sensitive to the method of data collection and time intervals under consideration. Individual characteristics also influence reporting; respondents with poor mental health report more life events. Much current research on life events is cross-sectional. Data from a longitudinal study of…

There has been a significant increase in the use of secondary data sets. Many such data sets purport to be nationally representative. Secondary data sets include research commissioned by the National Center for Education Statistics, the Centers for Disease Control, and other public entities. Research increasingly utilizes these secondary data in…

Faced with the need to create a competitive workforce and improve the quality of our education system, states are pursuing policy agendas to better prepare students for postsecondary education and careers. To inform these agendas, statewide longitudinal data systems (SLDSs) have become an invaluable asset and serve as a tool to help states answer…

The purpose of this paper is to identify school effects on student performance for tertiary entrance in Australia, taking into account student-level predictors using longitudinal data from the 2003 Programme for International Student Assessment (PISA) study. It finds that aspects of schooling, such as positive attitudes to school and disciplinary…

This study details the collection, analysis, and interpretation of data from a national multi-institutional longitudinal mixed methods study of college impact and student development of liberal arts outcomes. The authors found three sets of practices in the quantitative data that corroborated with the themes that emerged from the qualitative data:…

Data are most useful when they are transformed into actionable information that people are able to access, understand and use. Thanks to both state and federal leadership, political commitment and investment of financial resources, states have made tremendous progress in the building of statewide K-12 longitudinal data systems. However, to ensure…

Drawing from a three-year qualitative multi-case study that examined three urban elementary schools as these schools instituted grade-level data-based collaboration as a school-wide literacy reform strategy, this article investigates how knowledge of student learning and instructional considerations evolved over time across this collection of…

Background: This article reports on an evaluation study of a project seeking to develop the use of position-linked datalogging with primary pupils in environmental science contexts. Purpose: The study sought to find out the extent to which the project had developed: (1) participant teachers' confidence in using datalogging as an everyday part of…

Literacy data collected over the course of 2 academic years were used to estimate the rate at which full- and half-day kindergartners acquired literacy skills during kindergarten, 1st grade, and the intervening summer. Application of piecewise growth models to the time series data obtained on a sample of students from a large Southwestern school…

Adolescents spend only a fraction of their waking hours in school and what they do with the rest of their time varies dramatically. Despite this, research on out-of-school time has largely focused on structured programming. The authors analyzed data from the Educational Longitudinal Study of 2002 (ELS:2002) to examine the out-of-school time…