The Effect Class Attendance Has On Academic Performance
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Author | : Adnan Badran |
Publisher | : Springer |
Total Pages | : 381 |
Release | : 2019-03-25 |
Genre | : Education |
ISBN | : 3030037746 |
This book focuses on two crucial issues that need to be addressed as a matter of urgency by universities in the Arab region, namely (a) conducting independent assessments of the quality of their teaching, research, administration, governance, and planning; and (b) determining the relevance of their teaching, research, and societal impacts. Although well-established around the world in manufacturing industries and private-sector service industries, including the research and commercialisation arms of the major universities and research institutes, it is only in recent years that quality-assurance (QA) assessments have started to be applied to most aspects education. Several Arab universities are adopting various forms of QA but some variants are little more than bureaucratic “box-ticking” exercises with minimal commitment by staff to the ultimate aim of continuing self-improvement. This book will be of interest to senior management at faculty and departmental level and above in all Arab universities specifically, and more generally in Islamic institutions of higher education. Senior management in other universities, especially in the developing world will benefit from its analyses and recommendations.
Author | : Michael A. Gottfried |
Publisher | : Harvard Education Press |
Total Pages | : 310 |
Release | : 2021-03-09 |
Genre | : Education |
ISBN | : 1682532798 |
In Absent from School, Gottfried and Hutt offer a comprehensive and timely resource for educators and policy makers seeking to understand the scope, impact, and causes of chronic student absenteeism. The editors present a series of studies by leading researchers from a variety of disciplines that address which students are missing school and why, what roles schools themselves play in contributing to or offsetting patterns of absenteeism, and ways to assess student attendance for purposes of school accountability. The contributors examine school-based initiatives that focus on a range of issues, including transportation, student health, discipline policies, and protections for immigrant students, as well as interventions intended to improve student attendance. Only in the past two or three years has chronic absenteeism become the focus of attention among policy makers, civil rights advocates, and educators. Absent from School provides the first critical, systematic look at research that can inform and guide those who are working to ensure that every child is in school and learning every day.
Author | : Donald A. Bligh |
Publisher | : |
Total Pages | : 254 |
Release | : 1972 |
Genre | : |
ISBN | : |
Author | : |
Publisher | : GRIN Verlag |
Total Pages | : 16 |
Release | : 2020-06-17 |
Genre | : Psychology |
ISBN | : 334618451X |
Academic Paper from the year 2018 in the subject Psychology - Methods, grade: 4.00, University of Dhaka (Department of Finance), course: Research Methodology, language: English, abstract: The core of this study is to investigate the impact of class attendance on the academic achievement of the students. The academic achievement or academic performance is measured by the exam score of the students. Structured questionnaires have been prepared which provide a clear guide to extract the exact information from the desired source to conduct to study smoothly and effectively. The findings of this study explored that class attendance has a very strong relationship with academic performance of the student. The strong relationship between variables is claimed by the correlation between class attendance and academic performance of the students which is correlation 0.7686. Since, based on the findings of this study, it is concluded that class attendance has significant impact over academic performance so that it is recommended that compulsory class attendance and scholarship for full attendance are needed to be effectively implemented. This important study has been conducted in many other developed, developing and underdeveloped countries so that it becomes crucial to identify the effect of class attendance on the academic performance of students in Bangladesh.
Author | : Stacy B. Ehrlich |
Publisher | : Consortium on Chicago School Research |
Total Pages | : 64 |
Release | : 2014-05-05 |
Genre | : Education, Preschool |
ISBN | : 9780989799430 |
Students who attend preschool regularly are significantly more likely than chronically absent preschoolers, those who missed at least 10 percent of the school year, to be ready for kindergarten and to attend school regularly in later grades. The study, which followed 25,000 three- and four-year-olds served by Chicago Public Schools (CPS) school-based preschool programs, finds chronic absenteeism is rampant among preschoolers in Chicago. In 2011-2012, almost half of three-year-olds and more than one-third of four-year-olds were chronically absent. This report examines the extent of preschool absenteeism and the reasons preschool students are absent. It also examines the relationship between preschool absences and students' scores on measures of kindergarten readiness in math, letter recognition, and social-emotional development, as well as assessments of second-grade reading fluency. Ultimately, students who miss more preschool have lower kindergarten readiness scores, and students who are chronically absent in preschool are more likely to be chronically absent in kindergarten and have lower second grade reading scores. However, students who enter preschool with the weakest skills benefit the most from regular attendance.
Author | : Joy G. Dryfoos |
Publisher | : Oxford University Press |
Total Pages | : 289 |
Release | : 1991-08-29 |
Genre | : Psychology |
ISBN | : 0195361008 |
Seven million youngsters--one in four adolescents--have only limited potential for becoming productive adults because they are at high risk for encountering serious problems at home, in school, or in their communities. This is one of the disturbing findings in this unique overview of what is known about young people aged 10 to 17 growing up in the United States today. The book explores four problem areas that are the subject of a great deal of public interest and social concern: delinquency, substance abuse, teen pregnancy, and school failure. In examining these problem areas, Dryfoos has three objectives: to present a more cogent picture of adolescents who are at risk of problem behaviors and where they fit in society; to synthesize the experience of programs that have been successful in changing various aspects of these behaviors; and to propose strategies for using this knowledge base to implement more effective approaches to helping youngsters succeed. Among the key concepts emerging from this study are the importance of intense individual attention, social skills training, exposure to the world of work, and packaging components in broad, community-wide interventions. Schools are recognized as the focal institution in prevention, not only in regard to helping children achieve academically, but in giving young people access to social support and health programs. The author also proposes comprehensive youth development initiatives at the local, state and national level, based on programs shown to be effective in real practice. This landmark, state-of-the-art study represents an indispensable resource for anyone interested in the welfare and current problems of youth, including psychologists, sociologists, school administrators, state and federal officials, policymakers, and concerned parents.
Author | : J. P. Verma |
Publisher | : John Wiley & Sons |
Total Pages | : 224 |
Release | : 2019-04-02 |
Genre | : Mathematics |
ISBN | : 1119528410 |
Comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so This book facilitates researchers in checking the assumptions of statistical tests used in their research by focusing on the importance of checking assumptions in using statistical methods, showing them how to check assumptions, and explaining what to do if assumptions are not met. Testing Statistical Assumptions in Research discusses the concepts of hypothesis testing and statistical errors in detail, as well as the concepts of power, sample size, and effect size. It introduces SPSS functionality and shows how to segregate data, draw random samples, file split, and create variables automatically. It then goes on to cover different assumptions required in survey studies, and the importance of designing surveys in reporting the efficient findings. The book provides various parametric tests and the related assumptions and shows the procedures for testing these assumptions using SPSS software. To motivate readers to use assumptions, it includes many situations where violation of assumptions affects the findings. Assumptions required for different non-parametric tests such as Chi-square, Mann-Whitney, Kruskal Wallis, and Wilcoxon signed-rank test are also discussed. Finally, it looks at assumptions in non-parametric correlations, such as bi-serial correlation, tetrachoric correlation, and phi coefficient. An excellent reference for graduate students and research scholars of any discipline in testing assumptions of statistical tests before using them in their research study Shows readers the adverse effect of violating the assumptions on findings by means of various illustrations Describes different assumptions associated with different statistical tests commonly used by research scholars Contains examples using SPSS, which helps facilitate readers to understand the procedure involved in testing assumptions Looks at commonly used assumptions in statistical tests, such as z, t and F tests, ANOVA, correlation, and regression analysis Testing Statistical Assumptions in Research is a valuable resource for graduate students of any discipline who write thesis or dissertation for empirical studies in their course works, as well as for data analysts.
Author | : Committee on Physical Activity and Physical Education in the School Environment |
Publisher | : National Academies Press |
Total Pages | : 503 |
Release | : 2013-11-13 |
Genre | : Medical |
ISBN | : 0309283140 |
Physical inactivity is a key determinant of health across the lifespan. A lack of activity increases the risk of heart disease, colon and breast cancer, diabetes mellitus, hypertension, osteoporosis, anxiety and depression and others diseases. Emerging literature has suggested that in terms of mortality, the global population health burden of physical inactivity approaches that of cigarette smoking. The prevalence and substantial disease risk associated with physical inactivity has been described as a pandemic. The prevalence, health impact, and evidence of changeability all have resulted in calls for action to increase physical activity across the lifespan. In response to the need to find ways to make physical activity a health priority for youth, the Institute of Medicine's Committee on Physical Activity and Physical Education in the School Environment was formed. Its purpose was to review the current status of physical activity and physical education in the school environment, including before, during, and after school, and examine the influences of physical activity and physical education on the short and long term physical, cognitive and brain, and psychosocial health and development of children and adolescents. Educating the Student Body makes recommendations about approaches for strengthening and improving programs and policies for physical activity and physical education in the school environment. This report lays out a set of guiding principles to guide its work on these tasks. These included: recognizing the benefits of instilling life-long physical activity habits in children; the value of using systems thinking in improving physical activity and physical education in the school environment; the recognition of current disparities in opportunities and the need to achieve equity in physical activity and physical education; the importance of considering all types of school environments; the need to take into consideration the diversity of students as recommendations are developed. This report will be of interest to local and national policymakers, school officials, teachers, and the education community, researchers, professional organizations, and parents interested in physical activity, physical education, and health for school-aged children and adolescents.
Author | : Roger E Millsap |
Publisher | : SAGE Publications |
Total Pages | : 801 |
Release | : 2009-08-05 |
Genre | : Psychology |
ISBN | : 141293091X |
`I often... wonder to myself whether the field needs another book, handbook, or encyclopedia on this topic. In this case I think that the answer is truly yes. The handbook is well focused on important issues in the field, and the chapters are written by recognized authorities in their fields. The book should appeal to anyone who wants an understanding of important topics that frequently go uncovered in graduate education in psychology' - David C Howell, Professor Emeritus, University of Vermont Quantitative psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods and psychological measurement exist, none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area. Drawing on a global scholarship, the Handbook is divided into seven parts: Part One: Design and Inference: addresses issues in the inference of causal relations from experimental and non-experimental research, along with the design of true experiments and quasi-experiments, and the problem of missing data due to various influences such as attrition or non-compliance. Part Two: Measurement Theory: begins with a chapter on classical test theory, followed by the common factor analysis model as a model for psychological measurement. The models for continuous latent variables in item-response theory are covered next, followed by a chapter on discrete latent variable models as represented in latent class analysis. Part Three: Scaling Methods: covers metric and non-metric scaling methods as developed in multidimensional scaling, followed by consideration of the scaling of discrete measures as found in dual scaling and correspondence analysis. Models for preference data such as those found in random utility theory are covered next. Part Four: Data Analysis: includes chapters on regression models, categorical data analysis, multilevel or hierarchical models, resampling methods, robust data analysis, meta-analysis, Bayesian data analysis, and cluster analysis. Part Five: Structural Equation Models: addresses topics in general structural equation modeling, nonlinear structural equation models, mixture models, and multilevel structural equation models. Part Six: Longitudinal Models: covers the analysis of longitudinal data via mixed modeling, time series analysis and event history analysis. Part Seven: Specialized Models: covers specific topics including the analysis of neuro-imaging data and functional data-analysis.
Author | : Alberto Fernández |
Publisher | : Springer |
Total Pages | : 385 |
Release | : 2018-10-22 |
Genre | : Computers |
ISBN | : 3319980742 |
This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge. This book stresses the gap with standard classification tasks by reviewing the case studies and ad-hoc performance metrics that are applied in this area. It also covers the different approaches that have been traditionally applied to address the binary skewed class distribution. Specifically, it reviews cost-sensitive learning, data-level preprocessing methods and algorithm-level solutions, taking also into account those ensemble-learning solutions that embed any of the former alternatives. Furthermore, it focuses on the extension of the problem for multi-class problems, where the former classical methods are no longer to be applied in a straightforward way. This book also focuses on the data intrinsic characteristics that are the main causes which, added to the uneven class distribution, truly hinders the performance of classification algorithms in this scenario. Then, some notes on data reduction are provided in order to understand the advantages related to the use of this type of approaches. Finally this book introduces some novel areas of study that are gathering a deeper attention on the imbalanced data issue. Specifically, it considers the classification of data streams, non-classical classification problems, and the scalability related to Big Data. Examples of software libraries and modules to address imbalanced classification are provided. This book is highly suitable for technical professionals, senior undergraduate and graduate students in the areas of data science, computer science and engineering. It will also be useful for scientists and researchers to gain insight on the current developments in this area of study, as well as future research directions.