CORRELATES OF CONDUCT PROBLEMS AND DEPRESSION COMORBIDITY IN ELEMENTARY SCHOOL BOYS AND GIRLS RECEIVING SPECIAL EDUCATIONAL SERVICES

There is limited empirical research on the correlates of conduct problems (CP) and depression comorbidity during childhood. This study investigated 479 elementary school children (48.2% girls). It compared children with comorbidity to children with CP only, depression only, and control children on individual, academic, social, and family characteristics. The study also analyzed gender differences in the associations between correlates and comorbidity. Multinomial logistic regression results revealed that children with CP and depression had higher levels of anxiety and more school difficulties than children with CP only, more social difficulties and more severe attention deficit and hyperactivity disorder (ADHD) symptoms than children with depression only, and more difficulties in all domains than control children. Girls with CP and depression presented a particularly negative profile, including lower school abilities than CP and control girls, and lower social skills and more severe ADHD symptoms than control girls.  Implications for evaluation and intervention planning are discussed.     

Exploratory analyses to improve model fit: Errors due to misspecification and a strategy to reduce their occurrence

Two Lagrange multiplier (LM) methods may be used in specification searches for adding parameters to models: one based on univariate LM tests and respecification of the model (LM‐respecified method) and the other based on a partitioning of multivariate LM tests (LM‐incremental method). These methods may result in extraneous parameters being included in models due to either sampling error or the model being misspecified. A 2‐stage specification search may be used to reduce errors due to misspecification. In the 1st stage, parameters are added to models based on LM tests to maximize fit. Second, parameters added in the 1st stage are deleted if they are no longer necessary to maintain model fit. Illustrations are presented to demonstrate that errors due to misspecification occur with the LM‐respecified method and are even more likely with the LM‐incremental approach. These illustrations also show how the deletion stage can help eliminate some of these errors.     

Exploring adolescent development through the use of popular non-fiction novels

The purpose of this review is to examine the utility of using journalistic accounts of adolescence to convey the complexities of adolescent development. Three non-fiction texts are considered: Wonderland by Michael Bamberger, A Tribe Apart by Patricia Hersch, and A Hope in the Unseen by Ron Suskind. The safe environment provided by these books gives prospective teachers an intellectual space to consider their future teaching and to hear the voices of their prospective students. Moreover, exploring these non-fiction texts helps prospective teachers understand today's adolescents and allows them to reflect on adolescent identity and development using a real-world setting.     

Experimental analysis of ice friction in the sport of bobsleigh

We report the first derivation of the coefficient of friction between bobsleigh runners and ice from experimental measurements performed in a controlled environment. In a series of experiments on both horizontal ice and a track sloped at 6.80°, a radar gun was used to sample the speed of a moving sled in the range of (1–10) m/s at a sample rate of 31.25 Hz. The acceleration of the sled, and thus the coefficient of friction, was extracted from these data, with a value of (4.2 ± 0.9) × 10^?3 for the coefficient of friction associated with a set of two-man bobsleigh runners. There was no detectable variation in the coefficient of friction with velocity at this range of speeds and experimental accuracy. This result improves our knowledge of this coefficient over currently accepted values determined from indirect measurements, and indicates that the coefficient is lower than the currently accepted range.     

Optimization of handheld gauge sizes for rocker measurements of skate blades and bobsleigh runners

This work uses numerical methods to investigate the feasibility of modifying an instrument used in speed skating to analyze blades from four different ice sports. The instrument, a handheld rocker gauge, is adapted to create a device that can effectively profile other types of skate blades and bobsleigh runners. Since there are significant differences between short and long-track blades one could expect a difference in the gauges used to study these blades. Despite this expectation, the same gauge is used in both disciplines. The usefulness of these gauges has been proven in speed skating so it is expected that they should also be useful to study hockey blades and bobsleigh runners. To optimize the gauge size for different blade types we digitize the profile of a blade, which we use to simulate gauge data. Then we use that gauge data to reconstruct the profile and compare it to the original digital profile. The result is compared for various gauge sizes and the gauge size is optimized for each of the four disciplines. The only commercially available device seems optimal for bobsleigh and long track speed skating. Smaller gauges are recommended for analyzing short track speed skates and hockey skates.

Examining behavioral, relational, and cognitive engagement in smaller learning communities: A case study of reform in one suburban district

The purpose of this project was to examine the impact of Smaller Learning Community reform on students’ behavioral, relational, and cognitive engagement in a suburban school district experiencing urbanization. We describe a project in which we evaluated the engagement of a cohort of 8th grade students as they transitioned to high school (n = 605). Specifically, we disaggregated the data to identify how students’ engagement differed as a function of their participation in Smaller Learning Community structures, prior achievement, and race.     

Examining relational engagement across the transition to high schools in three US high schools reformed to improve relationship quality

The purpose of this study was to examine changes in students’ relational engagement across the transition to high school in three schools reformed to improve the quality of student–teacher relationships. In order to analyze this data we employed latent growth curve (LGC) modeling techniques (n = 637). We ran three LGC models on three indicators of relational engagement: perceived teacher press (Middleton and Midgley in Contemp Educat Psychol 27:373–391, 2002), perceived teacher support (Goodenow in Psychol Sch 30:79–90, 1993a), and perceived school belonging (Goodenow in J Early Adolesc 13, 21–43, 1993b). For each model we estimated the latent means of the observed variables, the intercept, and the slope. Our hypothesized model for each of the variables included estimates for the contribution of team status (no team, cross-team, pure teamed), total absences in 8th grade, race (white/non-white), gender, gifted status, and socio-economic status. Alternate models were run dropping non-significant exogenous variables from the model one at a time. In each case, the hypothesized models, including five exogenous predictors, evidenced poor fit. However, alternate models including fewer exogenous predictors evidenced better fit, allowed for the estimation of intercept differences and rate of change, and accounted for significant amounts of variance in relational engagement. Findings are situated within the context of school reform designed to improve relational engagement.