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Bandar Marzoog Almutairi – Educational Process: International Journal, 2025
Background/purpose: This study addresses the lack of statistical thinking skills among Applied College students, a key requirement for professional success. Traditional statistics education focuses on procedural and computational methods rather than conceptual understanding, leading to misconceptions and difficulties in data organization,…
Descriptors: Statistics Education, Computer Software, Spreadsheets, Thinking Skills
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Surrusco, Angela R.; Kunicki, Zachary J.; DiPerri, Sarah L.; Tate, Marie C.; Risi, Megan M.; Zambrotta, Nicholas S.; Harlow, Lisa L. – Teaching of Psychology, 2021
The statistical package chosen to aid in teaching quantitative methods is at the instructor's discretion, but little research has investigated student attitude toward these different packages. This study compared Google Sheets, a spreadsheet package similar to Microsoft Excel, and a traditional package, SPSS, to determine which of the two programs…
Descriptors: Student Attitudes, Spreadsheets, Computer Software, Statistics Education
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Johnson, Amy L.; Gleit, Rebecca D. – Teaching Sociology, 2022
Despite the centrality of data analysis to the discipline, sociology departments are currently falling short of teaching both undergraduate and graduate students crucial computing and statistical software skills. We argue that sociology instructors must intentionally and explicitly teach computing skills alongside statistical concepts to prepare…
Descriptors: College Students, Sociology, Social Science Research, Computer Science Education
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Counsell, Alyssa; Rovetti, Joseph; Buchanan, Erin – Statistics Education Research Journal, 2022
The current study sought to evaluate the SASTSc in two samples of students taking a statistics course that incorporates statistical software. The SASTSc was given at two time points, once at the beginning of the semester and then again at the end of the semester. Our evaluation included examining competing factor analytic models, examining…
Descriptors: Psychometrics, Student Attitudes, Statistics Education, Educational Technology
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Woodard, Victoria; Lee, Hollylynne – Journal of Statistics and Data Science Education, 2021
As the demand for skilled data scientists has grown, university level statistics and data science courses have become more rigorous in training students to understand and utilize the tools that their future careers will likely require. However, the mechanisms to assess students' use of these tools while they are learning to use them are not well…
Descriptors: College Students, Statistics Education, Statistical Analysis, Computation
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Schwab-McCoy, Aimee; Baker, Catherine M.; Gasper, Rebecca E. – Journal of Statistics and Data Science Education, 2021
In the past 10 years, new data science courses and programs have proliferated at the collegiate level. As faculty and administrators enter the race to provide data science training and attract new students, the road map for teaching data science remains elusive. In 2019, 69 college and university faculty teaching data science courses and…
Descriptors: Statistics Education, Higher Education, College Students, Teaching Methods