Education Commons^™

Utilizing Mixed Methods In Teaching Environments To Reduce Statistics Anxiety, Anthony J. Onwuegbuzie, Nancy L. Leech, Mari Murtonen, Juhani Tähtinen

Nancy Leech

Many students deem statistics courses to be the most difficult in their programs of study, providing mostly negative experiences characterized by high levels of anxiety. Recent research on statistics anxiety has identified several teacher characteristics that help reduce students’ statistics anxiety levels. However, little attention has been placed on the role that the research-based curriculum plays in reducing anxiety levels. Thus, the present paper introduces a curricular framework for alleviating students’ negative feelings towards statistics. Building on the works of Onwuegbuzie and Leech (2004, 2005a), we contend that the best way to accomplish this is by eliminating statistics courses from …

Zhong Guo Chu Zhong Sheng Yin Jiu Xing Wei Yu Qi Ta Jian Kang Wei Xian Xing Wei De Guan Xi [Alcohol Use And Associated Risk Factors Among Chinese Middle School Students], Teresa Merrick, Ying Zhang, Ben-Chun Tian, Ling Qian, Ian Newman

Ian Newman

Objective-- To explore the relationship between reported alcohol-use in Chinese youth to other reported health risk behaviors, and to provide bases for their health education. Methods -- The data of 2003 Global School-Based Student Health Survey in China and related material of survey came from WHO website. SPSS 13.0 was applied for cross-tabulated data analysis and Chi-square test was used to analyze the relationships between alcohol-use and other risk behaviors. Results -- Students who reported alcohol use within the last 30 days were also at significant risk from direct health behaviors, other health behaviors, environmental factors and psychological factors, especially …

Quality Of Implementation Of A School Mental Health Initiative And Changes Over Time In Students' Social And Emotional Competencies, Helen Askell-Williams, Katherine Dix, Michael Lawson, Phillip Slee

Dr Katherine Dix

Beyond Multiple Regression: Using Commonality Analysis To Better Understand R2 Results, Russell Warne

Russell T Warne

Multiple regression is one of the most common statistical methods used in quantitative educational research. Despite the versatility and easy interpretability of multiple regression, it has some shortcomings in the detection of suppressor variables and for somewhat arbitrarily assigning values to the structure coefficients of correlated independent variables. Commonality analysis—heretofore rarely used in gifted education research—is a statistical method that partitions the explained variance of a dependent variable into nonoverlapping parts according to the independent variable(s) that are related to each portion. This Methodological Brief includes an example of commonality analysis and equations for researchers who wish to conduct their …

Signposts: Research Points To How Victorian Government Schools Have Improved Performance, Elizabeth Hartnell-Young

Dr Elizabeth Hartnell-Young

The Blueprint for Education and Early Childhood Development (DEECD, 2008) underlines the importance of providing opportunities for every child to succeed, in every circumstance. The Blueprint points out that, while previous reforms are paying dividends, improvement is not yet consistent across all schools. So, to support a reform agenda for all schools to improve, this research by the Department of Education and Early Childhood Development (DEECD) was specifically designed to investigate the nature of the practices in those schools where Victorian strategies are showing positive results. We wanted to have greater knowledge of the practices of Victorian schools that lead …