Douglas Whitaker
Douglas Whitaker
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MASDER: Developing a instruments to measure attitudes in statistics and data science
The Motivational Attitudes in Statistics and Data Science Education Research (MASDER) research group is developing a family of instruments to measure student and instructor attitudes and characteristics of learning environments for statistics and data science courses. This work is funded by the National Science Foundation (
DUE-2013392
).
Project Site
ESG-type items in statistics education
Evaluative Space Grid (ESG) items may provide for a more nuanced understanding of neutral attitudes. This work is in its early stages and is supported by an internal New Scholars Grant from Mount Saint Vincent University.
A Family of Instruments to Measure Data Science Attitudes
Attitudes play an important role in students’ academic achievement and retention, yet quality tools to measure them are not readily …
Mar 21, 2024 —
Portland, Oregon (SIGCSE 2024)
April Kerby-Helm
,
Michael Posner
,
Alana Unfried
,
Douglas Whitaker
,
Marjorie Bond
,
Leyla Batakci
Project
Measuring Student Attitudes Toward Statistics using S-SOMAS: National Data and Individualized Report
We will share for the first time pre- and post- data on students' attitudes toward statistics from the new S-SOMAS instrument. At this …
Aug 6, 2023 —
Toronto, Ontario (JSM 2023)
Michael Posner
,
April Kerby-Helm
,
Alana Unfried
,
Douglas Whitaker
,
Marjorie Bond
,
Leyla Batakci
Project
MASDERing Attitude Research in Statistics and Data Science Education: Instruments for Measuring Students, Instructors, and the Learning Environment
Research about students’ affective outcomes (such as attitudes) in statistics courses has proliferated over the past three decades, but …
Jul 13, 2023 —
Toronto, Ontario/Virtual Hybrid (IASE Satellite 2023)
Douglas Whitaker
,
Alana Unfried
,
Leyla Batakci
,
Marjorie E. Bond
,
April Kerby-Helm
,
Michael A. Posner
Project
MASDER your educational research: how to cohesively study students, instructors, and the learning environment
How do you know if your teaching is effective in introductory statistics and data science courses? Is it grades? Is it anecdotes from …
Jun 3, 2023 —
State College, Pennsylvania (USCOTS 2023)
Alana Unfried
,
Leyla Batakci
,
Marjorie E. Bond
,
April Kerby-Helm
,
Michael A. Posner
,
Douglas Whitaker
Project
Measuring student enjoyment and effective teaching practices: what works?
Knowledge is not the only important outcome from statistics courses: students’ attitudes and beliefs about statistics have been widely …
May 29, 2023 —
Ottawa, Ontario (SSC 2023)
Douglas Whitaker
,
Alana Unfried
,
Leyla Batakci
,
Marjorie E. Bond
,
April Kerby-Helm
,
Michael A. Posner
Project
Slides
The Big Picture: A Family of Instruments for Understanding University-Level Statistics and Data Science Attitudes
Attitudes matter in statistics and data science education, but previous instruments have been limited in scope, resulting in many …
Alana Unfried
,
Douglas Whitaker
,
Leyla Batakci
,
Wendine Bolon
,
Marjorie E. Bond
,
April Kerby-Helm
,
Michael A. Posner
Project
DOI
Full Text
S-SOMADS: A new survey to measure student attitudes toward data science
Attitudes play an important role in students’ academic achievement and retention, yet we lack quality attitude measurement instruments …
April Kerby-Helm
,
Michael A. Posner
,
Alana Unfried
,
Douglas Whitaker
,
Marjorie E. Bond
,
Leyla Batakci
,
Wendine Bolon
Project
DOI
Full Text
S-SOMADS: A new survey to measure student attitudes toward data science
Attitudes play an important role in students’ academic achievement and retention, yet we lack quality attitude measurement instruments …
Sep 12, 2022 —
Rosario, Argentina/Virtual Hybrid (ICOTS 11)
Michael A. Posner
,
April Kerby-Helm
,
Marjorie Bond
,
Leyla Batakci
,
Alana Unfried
,
Douglas Whitaker
Project
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