Researchers in behavioral sciences are often interested in longitudinal behavior change outcomes and the mechanisms that influence changes in these outcomes over time. The statistical models that are typically implemented to address these research questions do not allow for investigation of mechanisms of dynamic change over time. However, latent…

The arc of quantitative educational research should not be etched in stone but should adapt and change over time. In this article, I argue that it is time for a reshaping by offering my personal view of the past, present and future of our field. Educational research--and research in the social and life sciences--is at a crossroads. There are many…

Background: Observation Studies, Unmeasured Confounding, and Sensitivity Analysis: An important part of educational research is identifying important, potentially causal, factors that influence children's learning from observational studies. However, it is well-known that discovering such factors from observational studies can be biased due to…

Causal search algorithms have been effectively applied in different fields including biology, genetics, climate science, medicine, and neuroscience. However, there have been scant applications of these methods in social and behavioral sciences. This article provides an illustrative example of how causal search algorithms can shed light on…

Throughout much of the social and behavioral sciences, latent growth modeling (latent curve analysis) has become an important tool for understanding individuals' longitudinal change. Although nonlinear variations of latent growth models appear in the methodological and applied literature, a notable exclusion is the treatment of growth following…

This study examined the average effects of schools' third through fifth grade gifted programming policy in mathematics and reading on overall school achievement, on gifted students' achievement and academic attitudes and on nongifted students' achievement and academic attitudes. Data and results represent a broad, national look at school…

This study used latent growth modelling (LGM) to explore the developmental course and longitudinal relationships between achievement goals (mastery and performance-approach) and academic performance over a three-year period (four time-points of data collection). Three hundred and fifty-two university students (152 women, 200 men) who first…

Prior research has documented associations between hours in child care and children's externalizing behavior. A series of longitudinal analyses were conducted to address 5 propositions, each testing the hypothesis that child care hours causes externalizing behavior. Data from the National Institute of Child Health and Human Development Early Child…

Many studies of changes in learning approaches have used data from different age groups at one point in time only (Gow and Kember, High Educ 19:307-322, 1990; Watkins and Hattie, Br J Educ Psychol 51:384-393, 1981) or have analyzed the effects of just two or three factors using single level analytical techniques (Cano, Br J Educ Psychol…

The intent of this study was to investigate the adequacy of Weidman's (1985, 1989) theoretical undergraduate socialization model as an empirical-based causal model pertaining to women's career path choice into a science or engineering (SE) major via structural equation modeling. Data were obtained from the Beginning Postsecondary Students…

Few studies have examined the longitudinal impact that systems of care (SOCs) have on the clinical functioning of young people. This study investigated patterns of clinical improvement over time in an SOC and explored the degree to which demographic characteristics and referral source affected those patterns. Data were gathered at the time of…

The aim of the present study is to explore a causal model of academic achievement and learning-related personal variables by testing the nature of relationships between learned hopelessness, its risk factors and hopelessness deficits as proposed in major theories in this area. The model investigates affective-motivational characteristics of…

Regression artifacts are a source of mistaken causal inference in inferences based on time-series data and from longitudinal studies. These artifacts are illustrated, and it is noted that their magnitude is computable (and distinguishable from genuine effects) if the autocorrelation patterns for various lags is known. (SLD)

Implications of phase space functions for psychological assessment are examined in this third article of the special section. The ability to predict the future time course of variables and the strength of causal relationships can be enhanced if temporal, dynamic, and nonlinear characteristics of variables are considered. (SLD)

Do preadolescent sport self-concepts influence subsequent sport performance? Longitudinal data (Grades 3, 4, and 6) for young boys and girls (N = 1,135; mean age = 9.67) were used to test reciprocal effects model (REM) predictions that sport self-concept is both a cause and a consequence of sport accomplishments. Controlling prior sport…