Truancy reduction: Extension of a county program

The primary purpose of this research was to examine the effect of the Truancy Intervention Program (TIP) on attendance patterns of elementary school students. Longitudinal archival data were used from Miami-Dade County Public School system's data system, ISIS. Data included the students' school information from fifth through ninth grade for attendance, academic grades, referral information, and referral consequences. The sample for this study was drawn from students at TIP-participating M-DCPS elementary schools in Miami-Dade County. Data collected spanned five years for each participant from the fifth grade to the ninth grade. To examine the effect of TIP on attendance, participation in middle school TIP was compared with non-TIP participation. In addition to immediate effects on attendance, the durability of the effects of TIP was studied through an analysis of attendance at the ninth grade level. A secondary purpose was to examine the relation of TIP participation to Grade Point Average (GPA). ^ The data were analyzed using 2 (group) x 3 (grade) Repeated Measures Analysis of Variance (ANOVA) on yearly attendance (number of absences), and grade point average for each year. The interaction between group and grade was significant. Post hoc tests indicated that absences were not significantly different in the two programs in seventh, eighth or ninth grade. Students enrolled in a middle school with TIP showed a significantly higher number of absences in ninth grade than for seventh or eighth grade. There were no differences by grade level for students enrolled in non-TIP middle schools. GPA analysis indicated that students enrolled in a non-TIP middle school had a significantly higher GPA across seventh, eighth, and ninth grades when compared to students enrolled at a TIP middle school. ^ An examination of attendance disciplinary referrals and consequences further revealed that the referral rates for students enrolled at a TIP middle school were higher at the seventh, eighth, and ninth grade level, then for students enrolled at a non-TIP middle school. This pattern was not readily apparent at non-TIP middle schools. Limitations of the research were noted and further research regarding program implementation (process evaluation) was suggested. ^

Present-day Pattern Variations in the Central and Eastern Pacific El Nino

El Niño and the Southern Oscillation (ENSO) is a cycle that is initiated in the equatorial Pacific Ocean and is recognized on interannual timescales by oscillating patterns in tropical Pacific sea surface temperatures (SST) and atmospheric circulations. Using correlation and regression analysis of datasets that include SST’s and other interdependent variables including precipitation, surface winds, sea level pressure, this research seeks to quantify recent changes in ENSO behavior. Specifically, the amplitude, frequency of occurrence, and spatial characteristics (i.e. events with maximum amplitude in the Central Pacific versus the Eastern Pacific) are investigated. The research is based on the question; “Are the statistics of ENSO changing due to increasing greenhouse gas concentrations?” Our hypothesis is that the present-day changes in amplitude, frequency, and spatial characteristics of ENSO are determined by the natural variability of the ocean-atmosphere climate system, not the observed changes in the radiative forcing due to change in the concentrations of greenhouse gases. Statistical analysis, including correlation and regression analysis, is performed on observational ocean and atmospheric datasets available from the National Oceanographic and Atmospheric Administration (NOAA), National Center for Atmospheric Research (NCAR) and coupled model simulations from the Coupled Model Inter-comparison Project (phase 5, CMIP5). Datasets are analyzed with a particular focus on ENSO over the last thirty years. Understanding the observed changes in the ENSO phenomenon over recent decades has a worldwide significance. ENSO is the largest climate signal on timescales of 2 - 7 years and affects billions of people via atmospheric teleconnections that originate in the tropical Pacific. These teleconnections explain why changes in ENSO can lead to climate variations in areas including North and South America, Asia, and Australia. For the United States, El Niño events are linked to decreased number of hurricanes in the Atlantic basin, reduction in precipitation in the Pacific Northwest, and increased precipitation throughout the southern United Stated during winter months. Understanding variability in the amplitude, frequency, and spatial characteristics of ENSO is crucial for decision makers who must adapt where regional ecology and agriculture are affected by ENSO.

Present-day Pattern Variations in the Central and Eastern Pacific El Nino

El Niño and the Southern Oscillation (ENSO) is a cycle that is initiated in the equatorial Pacific Ocean and is recognized on interannual timescales by oscillating patterns in tropical Pacific sea surface temperatures (SST) and atmospheric circulations. Using correlation and regression analysis of datasets that include SST’s and other interdependent variables including precipitation, surface winds, sea level pressure, this research seeks to quantify recent changes in ENSO behavior. Specifically, the amplitude, frequency of occurrence, and spatial characteristics (i.e. events with maximum amplitude in the Central Pacific versus the Eastern Pacific) are investigated. The research is based on the question; “Are the statistics of ENSO changing due to increasing greenhouse gas concentrations?” Our hypothesis is that the present-day changes in amplitude, frequency, and spatial characteristics of ENSO are determined by the natural variability of the ocean-atmosphere climate system, not the observed changes in the radiative forcing due to change in the concentrations of greenhouse gases. Statistical analysis, including correlation and regression analysis, is performed on observational ocean and atmospheric datasets available from the National Oceanographic and Atmospheric Administration (NOAA), National Center for Atmospheric Research (NCAR) and coupled model simulations from the Coupled Model Inter-comparison Project (phase 5, CMIP5). Datasets are analyzed with a particular focus on ENSO over the last thirty years. Understanding the observed changes in the ENSO phenomenon over recent decades has a worldwide significance. ENSO is the largest climate signal on timescales of 2 - 7 years and affects billions of people via atmospheric teleconnections that originate in the tropical Pacific. These teleconnections explain why changes in ENSO can lead to climate variations in areas including North and South America, Asia, and Australia. For the United States, El Niño events are linked to decreased number of hurricanes in the Atlantic basin, reduction in precipitation in the Pacific Northwest, and increased precipitation throughout the southern United Stated during winter months. Understanding variability in the amplitude, frequency, and spatial characteristics of ENSO is crucial for decision makers who must adapt where regional ecology and agriculture are affected by ENSO.