Physical Sciences and Mathematics Commons^™

Mindsets, Attitudes, And Achievement In Undergraduate Statistics Courses, Valorie L. Zonnefeld

Faculty Work Comprehensive List

The purpose of this study was to determine the effects of theories of intelligence and an intervention of incremental mindset training on students’ attitudes toward statistics and their mastery of content in an introductory statistics college course. The sample was 547 undergraduate students at a small, faith-based, liberal arts college in the Midwest.

A pretest-posttest design was used for the three instruments implemented. The Comprehensive Assessment of Outcomes in a first Statistics course (CAOS) assessed students’ statistical literacy. The Student Attitudes Towards Statistics – 36© (SATS©) assessed six components of students’ attitudes toward statistics including affect, cognitive competence, difficulty, effort, …

Characteristics Of Stem Success: A Survival Analysis Model Of Factors Influencing Time To Graduation Among Undergraduate Stem Majors, Riley K. Acton

Business and Economics Honors Papers

Producing more graduates in Science, Technology, Engineering, and Mathematics (STEM), as well as ensuring students complete college in a timely manner are both areas of national public policy interest. In order to improve these two outcomes, it is imperative to understand what factors lead undergraduate students to persist in, and ultimately graduate with STEM degrees. This paper uses data from the Beginning Postsecondary Students Longitudinal Study, provided by The National Center of Education Statistics, to model the time to baccalaureate degree among STEM majors using a Cox proportional hazard model.

Emphasizing The Entire Research Process Throughout The Curriculum: The Next Step In Real Data Integration In Introductory Statistics Courses, Nathan L. Tintle

Faculty Work Comprehensive List

Access blog post at publisher's site:

https://www.causeweb.org/sbi/?p=617

Simulation-Based Inference In Statistics Education: Exciting Progress And Future Directions, Nathan L. Tintle

Faculty Work Comprehensive List

Statistics Views asked Dr Tintle to explain more about simulation-based inference in statistics education and some of the exciting progress that has been made to date and future directions within the undergraduate curriculum.