Student behavior problems continue to be a nationwide concern, despite decades of practice with a myriad of disciplinary systems. Students who frequently engage in problematic behaviors are at-risk for a variety of negative life outcomes. School-wide positive behavior interventions and supports (PBIS) is an evidence-based system of school-wide reinforcement and disciplinary procedures that relies on a problem-solving model from a systems perspective. Research based on the implementation of PBIS in schools has found positive effects pertaining to decreases in problem behaviors, increases in academics and attendance, and improved school safety and staff satisfaction. The purpose of this study was to examine the impact of PBIS systems change at varying years of implementation in three middle schools using a cross-sectional design on student outcome variables including office discipline referrals, major disciplinary actions, attendance rates, and academic achievement, along with school climate factors related to teacher burnout. Analysis of variance, non-parametric analysis of variance, and visual analyses were used to evaluate the effects of PBIS at varying years of PBIS implementation. The number of ODRs and major disciplinary decisions issued were greatly decreased with each year of PBIS implementation. Analyses of student academic performance and attendance varied by school and level of PBIS implementation and appeared to be influenced by additional variables, such as socioeconomic status. The length of PBIS implementation was associated with lower teacher ratings of emotional exhaustion and higher school climate ratings. Implications for research and educational practice are addressed.

This study investigated the relationship between school start times and academic and school behavioral outcomes among adolescents. Academic achievement test data from five high schools in a Southwestern school district were compared prior- and post- a school start time change. Behavioral discipline reports were also examined to determine if earlier start times resulted in more behavioral problems for students. Results indicated minimal changes in academic achievement scores, with some significant differences between school start times when examining students' performance by pass/fail categories. Behaviorally, there were statistically significant differences between school start times with regards to high frequency referrals (i.e., attendance-related and defiance and disrespect towards authority), and total Office Discipline Referrals. Results are discussed in relationship to previous research on sleep and school start times along with the implications for adolescent school performance.

Current emphasis on adequate academic progress monitored by standardized assessments has increased focus on student acquisition of required skills. Reading ability can be assessed through student achievement on Oral Reading Fluency (ORF) measures. This study investigated the effectiveness of using ORF measures to predict achievement on high stakes tests. Study participants included 312 students across four Title 1 elementary schools in a Southwestern United States school district utilizing the Response to Intervention (RTI) model. Participants' ORF scores from first through third grade years and their third grade standardized achievement test scores were collected. In addition, information regarding reading interventions was obtained. Pearson product-moment correlations were used to determine how ORF scores and specific reading skills were related. Correlations were also used to assess whether the ORF scores from the fall, winter, or spring were most related to high stakes test scores. Additionally, the difference between computer-based versus instructor-led interventions on predicting high stakes test scores was assessed. Results indicated that correlation coefficients were larger between ORF and reading comprehension scores than between ORF and basic reading skills. ORF scores from spring were more highly related to high stakes tests than other times of the year. Students' ORF scores were more strongly related to high stakes tests when in computer-based interventions compared to instructor-led interventions. In predicting third grade high stakes test scores, first grade ORF scores had the most variance for the non-intervention sample, while third grade ORF scores had the most variance for the intervention sample.

The Culture-Language Interpretive Matrix (C-LIM) is a new tool hypothesized to help practitioners accurately determine whether students who are administered an IQ test are culturally and linguistically different from the normative comparison group (i.e., different) or culturally and linguistically similar to the normative comparison group and possibly have Specific Learning Disabilities (SLD) or other neurocognitive disabilities (i.e., disordered). Diagnostic utility statistics were used to test the ability of the Wechsler Intelligence Scales for Children-Fourth Edition (WISC-IV) C-LIM to accurately identify students from a referred sample of English language learners (Ells) (n = 86) for whom Spanish was the primary language spoken at home and a sample of students from the WISC-IV normative sample (n = 2,033) as either culturally and linguistically different from the WISC-IV normative sample or culturally and linguistically similar to the WISC-IV normative sample. WISC-IV scores from three paired comparison groups were analyzed using the Receiver Operating Characteristic (ROC) curve: (a) Ells with SLD and the WISC-IV normative sample, (b) Ells without SLD and the WISC-IV normative sample, and (c) Ells with SLD and Ells without SLD. Results of the ROC yielded Area Under the Curve (AUC) values that ranged between 0.51 and 0.53 for the comparison between Ells with SLD and the WISC-IV normative sample, AUC values that ranged between 0.48 and 0.53 for the comparison between Ells without SLD and the WISC-IV normative sample, and AUC values that ranged between 0.49 and 0.55 for the comparison between Ells with SLD and Ells without SLD. These values indicate that the C-LIM has low diagnostic accuracy in terms of differentiating between a sample of Ells and the WISC-IV normative sample. Current available evidence does not support use of the C-LIM in applied practice at this time.