'chi squared test' Search Results
Potential Factors Affecting Suspension at K-8 Schools in the United States
k-8 schools predictors chi-squared test adjusted analysis odds of suspension...
Suspension and expulsion are adversely related to negative outcomes of students, such as falling behind academically, an increased risk of absenteeism or dropout from schools. Suspension discrepancy due to ethnicity is evident and well known in the United States. The proper understanding of factors affecting suspension may lead to intervention towards the reduction of suspension episodes in the schools. The aim of this study is to determine how student, parent and school characteristics affect the likelihood of K-8 school students’ suspension in the United States. We analyze the National Household Education Surveys of 2019 with a sample of 9,699 K-8 students to evaluate the risk factors of suspension. The study finds that 6% students receive K-8 school suspensions. Bivariate analysis suggests that gender, ethnicity, poverty, parental education, school type, repeated grades, contacted for behavioral problem and school type are significantly associated with the K-8 students’ suspension. An adjusted analysis of these factors via multiple logistic regression suggests that the odds of suspension of NH-black students are 2.7 times the odds of NH-white students. Odds of suspension for students with parental education below HS is 3.2 (95% CI: 1.77-5.80) compared those with parental education at Graduate or professional level. Likewise, students of public schools have higher odds of suspension compared to private schools. There is significant evidence that students with repeated grades, poor parents, school type and those contacted for behavioral problems have substantially higher odds of suspension.
Effects of Worksheets on Problem-Solving Skills: Meta-Analytic Studies
effect meta-analytic problem-solving skill worksheet...
The purpose of this study was to compile and statistically analyze the results of research studies that examined students' problem-solving skills in worksheets. The research method used was a meta-analysis. The study search was conducted from 2013 to 2022 in Google Scholar and the Garuda portal databases. The search yielded 40 studies that met the inclusion criteria for extraction from research and development, experimental, and quasi-experimental. From the extracted results, 45 comparisons of data were examined. Microsoft Excel was used to calculate the effect size of the problem-solving worksheet. This study yielded a value of 1.281 for the entire study, indicating that the worksheet had a significant and positive impact on students' problem-solving skills. The results indicate the need to develop worksheets to improve students' problem-solving skills.