Measures of teacher-student relationship quality (TSRQ), effortful engagement, and achievement in reading and math were collected once each year for 3 consecutive years, beginning when participants were in 1st grade, for a sample of 671 (53.1% male) academically at-risk children attending 1 of 3 school districts in Texas. In separate latent variable structural equation models, the authors tested the hypothesized model, in which Year 2 effortful engagement mediated the association between Year 1 TSRQ and Year 3 reading and math skills. Conduct engagement was entered as a covariate in these analyses to disentangle the effects of effortful engagement and conduct engagement. Reciprocal effects of effortful engagement on TSRQ and of achievement on effortful engagement were also modeled. Results generally supported the hypothesized model. Year 1 variables had a direct effect on Year 3 variables, above year-to-year stability. Findings suggest that achievement, effortful engagement, and TSRQ form part of a dynamic system of influences in the early grades, such that intervening at any point in this nexus may alter children's school trajectories.

Participants were 443 (52.6% male, 47.4% female) ethnically diverse, 1st-grade, lower achieving readers attending 1 of 3 school districts in Texas. Using latent variable structural equation modeling, the authors tested a theoretical model positing that (a) the quality of teachers' relationships with students and their parents mediates the associations between children's background characteristics and teacher-rated classroom engagement and that (b) child classroom engagement, in turn, mediates the associations between student-teacher and parent-teacher relatedness and child achievement the following year. The hypothesized model provided a good fit to the data. African American children and their parents, relative to Hispanic and Caucasian children and their parents, had less supportive relationships with teachers. These differences in relatedness may be implicated in African American children's lower achievement trajectories in the early grades. Implications of these findings for teacher preparation are discussed.

Studies of factorial invariance examine whether a common factor model holds across multiple populations with identical parameter values. Partial factorial invariance exists when some, but not all, parameters are invariant. The literature on factorial invariance is unclear about what should be done if partial invariance is found. One approach to this problem evaluates the impact of partial invariance on accuracy of selection on the basis of a composite of the measures whose factor structure is being studied. Assuming a single-factor model holds, accuracy of selection using the composite is evaluated under varying degrees of partial invariance. A variety of examples are presented with discussion of extensions and limitations.

This article presents an experimental evaluation of the Family Bereavement Program (FBP), a 2-component group intervention for parentally bereaved children ages 8-16. The program involved separate groups for caregivers, adolescents, and children, which were designed to change potentially modifiable risk and protective factors for bereaved children. The evaluation involved random assignment of 156 families (244 children and adolescents) to the FBP or a self-study condition. Families participated in assessments at pretest, posttest, and 11-month follow-up. Results indicated that the FBP led to improved parenting, coping, and caregiver mental health and to reductions in stressful events at posttest. At follow-up, the FBP led to reduced internalizing and externalizing problems, but only for girls and those who had higher problem scores at baseline.

This study modeled teacher-student relationship trajectories throughout elementary school to predict gains in achievement in an ethnic-diverse sample of 657 academically at-risk students. Teacher reports of Warmth and Conflict were collected in grades 1 to 5. Achievement was tested in grade 1 and 6. For Conflict, low-stable (normative), low-increasing, high-declining, and high-stable trajectories were found. For Warmth, high-declining (normative) and low-increasing patterns were found. Children with early behavioral, academic, or social risks were under-represented in the normative trajectory groups. Chronic conflict was most strongly associated with under achievement. Rising Conflict but not declining Conflict coincided with underachievement. The probability of school failure increased as a function of the timing and length of time children were exposed to relational adversity.

The use and quality of longitudinal research designs has increased over the past two decades, and new approaches for analyzing longitudinal data, including multi-level modeling (MLM) and latent growth modeling (LGM), have been developed. The purpose of this paper is to demonstrate the use of MLM and its advantages in analyzing longitudinal data. Data from a sample of individuals with intra-articular fractures of the lower extremity from the University of Alabama at Birmingham's Injury Control Research Center is analyzed using both SAS PROC MIXED and SPSS MIXED. We start our presentation with a discussion of data preparation for MLM analyses. We then provide example analyses of different growth models, including a simple linear growth model and a model with a time-invariant covariate, with interpretation for all the parameters in the models. More complicated growth models with different between-and within-individual covariance structures and nonlinear models are discussed. Finally, information related to MLM analysis such as online resources is provided at the end of the paper. Publisher's Disclaimer:The following manuscript is the final accepted manuscript. It has not been subjected to the final copyediting, fact-checking, and proofreading required for formal publication. It is not the definitive, publisher-authenticated version. The American Psychological Association and its Council of Editors disclaim any responsibility or liabilities for errors or omissions of this manuscript version, any version derived from this manuscript by NIH, or other third parties. The published version is available at http://www.apa.org/journals/rep NIH Public Access NIH-PA Author ManuscriptNIH-PA Author Manuscript NIH-PA Author ManuscriptLongitudinal designs have recently received more attention in a variety of different disciplines of psychology including clinical, developmental, personality and health psychology . In some areas, such as developmental psychology and personality psychology, a substantial number of recently published studies have been longitudinal Khoo, West, Wu, & Kwok, 2006). For example, Khoo et al. (2006) found that slightly more than one third of articles published in Developmental Psychology in 2002 included at least one longitudinal study, defined as having at least two measurement occasions. This proportion is double the proportion of longitudinal studies published in the same journal in 1990. Furthermore, more than 70% of the longitudinal studies published in Developmental Psychology in 2002 included three or more measurement waves.In this paper, we will focus on the analyses of multiwave longitudinal data, where multiwave is defined as more than two waves.With the growing use of longitudinal research, a number of methodological and statistical sources on the analysis of multiwave longitudinal data have appeared in the past decade (e.g., Bollen & Curran, 2006;Collins & Sayer, 2001; Singer & Willet, 2003), including discussions of traditional approaches such as repeated-measures Univariate Analysis ...

This study examined the prevalence rates of bully victimization and risk for repeated victimization among students with disabilities using the Special Education Elementary Longitudinal Study and the National Longitudinal Transition Study-2 longitudinal datasets. Results revealed that a prevalence rate ranging from 24.5% in elementary school to 34.1% in middle school. This is one to one and a half times the national average for students without disabilities. The rate of bully victimization was highest for students with emotional disturbance across school levels. Findings from this study also indicated that students with disabilities who were bullied once were at high risk of being bullied repeatedly. Elementary and middle school students with autism and high school students with orthopedic impairments were at the greatest risk of experiencing repeated victimization. Implications of the findings are discussed.

Participants were 360 (52.2% male) ethnically diverse and academically at-risk first-grade children attending one of three school districts in southeast and central Texas. Using latent variable structural equation modeling, we tested a theoretical model positing that the quality of the teacher-student relationship in first grade predicts children's peer acceptance the following year, controlling for children's previous externalizing problems and peer acceptance. We also expected that children's classroom engagement would mediate the effect of teacher-student relationship quality on peer acceptance. The hypothesized model provided a good fit to the data. Engagement fully mediated the effect of teacher support on subsequent peer acceptance. Neither ethnicity nor gender moderated the mediation findings.