Alexis V. Knaub

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All published works

Action	Title	Year	Authors
+ PDF Chat	Data science education in undergraduate physics: Lessons learned from a community of practice	2024	Karan Shah J. Corey Butler Alexis V. Knaub Anıl Zenginoğlu William Ratcliff Mohammad Soltanieh-ha
+ PDF Chat	Data Science Education in Undergraduate Physics: Lessons Learned from a Community of Practice	2024	Karan Shah Julie M. Butler Alexis V. Knaub Anıl Zenginoğlu William Ratcliff Mohammad Soltanieh-ha
+ PDF Chat	Editorial: Focused Collection: Quantitative Methods in PER: A Critical Examination	2019	Alexis V. Knaub John M. Aiken Marcos D. Caballero
+	Emerging Reflections from the People of Color (POC) at PERC Discussion Space	2019	Geraldine L. Cochran Ayush Gupta Simone Hyater-Adams Alexis V. Knaub Brian Zamarripa Roman
+	A two-phase study examining perspectives and use of quantitative methods in PER	2018	Alexis V. Knaub John M. Aiken Lin Ding

Common Coauthors

Coauthor	Papers Together
John M. Aiken	2
Anıl Zenginoğlu	2
Mohammad Soltanieh-ha	2
William Ratcliff	2
Brian Zamarripa Roman	1
Geraldine L. Cochran	1
Simone Hyater-Adams	1
Marcos D. Caballero	1
Ayush Gupta	1
J. Corey Butler	1
Karan Shah	1
Julie M. Butler	1
Karan Shah	1
Lin Ding	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Challenging Conventional Wisdom for Multivariate Statistical Models With Small Samples	2017	Daniel McNeish	2
+	AERA Editorial Policies regarding Statistical Significance Testing: Three Suggested Reforms	1996	Bruce Thompson	1
+ PDF Chat	A protocol for data exploration to avoid common statistical problems	2009	Alain F. Zuur Elena N. Ieno Chris S. Elphick	1
+ PDF Chat	The ASA Statement on <i>p</i>-Values: Context, Process, and Purpose	2016	Ronald L. Wasserstein Nicole A. Lazar	1
+ PDF Chat	Novelty detection meets collider physics	2020	Jan Hajer Yingying Li Tao Liu He Wang	1
+ PDF Chat	Machine learning and the physical sciences	2019	Giuseppe Carleo J. I. Cirac K. Cranmer Laurent Daudet Maria Schuld Naftali Tishby Leslie Vogt-Maranto Lenka Zdeborová	1
+ PDF Chat	Longitudinal predictions using regression-corrected grouping to reduce regression to the mean	2019	Skye Stephens Michael Marder	1
+ PDF Chat	Missing data and bias in physics education research: A case for using multiple imputation	2019	Jayson M. Nissen Robin A. Donatello Ben Van Dusen	1
+ PDF Chat	Theoretical perspectives of quantitative physics education research	2019	Lin Ding	1
+ PDF Chat	Unsupervised quantitative methods to analyze student reasoning lines: Theoretical aspects and examples	2019	Onofrio Rosario Battaglia Benedetto Di Paola Claudio Fazio	1
+ PDF Chat	Modernizing use of regression models in physics education research: A review of hierarchical linear modeling	2019	Ben Van Dusen Jayson Nissen	1
+ PDF Chat	Practitioner’s guide to social network analysis: Examining physics anxiety in an active-learning setting	2019	Remy Dou Justyna P. Zwolak	1
+ PDF Chat	The Role of Academia in Data Science Education	2020	Rafael A. Irizarry	1
+ PDF Chat	Array programming with NumPy	2020	C. R. Harris K. Jarrod Millman Stéfan van der Walt Ralf Gommers Pauli Virtanen David Cournapeau Eric Wieser Julian Taylor Sebastian Berg Nathaniel J. Smith	1
+ PDF Chat	Machine learning meets quantum physics	2019	S. Das Sarma Dong-Ling Deng Luming Duan	1
+ PDF Chat	Best Practices for Administering Concept Inventories	2017	Adrian Madsen Sarah B. McKagan Eleanor C. Sayre	1
+ PDF Chat	Demographics of physics education research	2020	Stephen Kanim Ximena Cid	1
+ PDF Chat	Students’ epistemologies about experimental physics: Validating the Colorado Learning Attitudes about Science Survey for experimental physics	2016	Bethany R. Wilcox H. J. Lewandowski	1
+ PDF Chat	Interpretable machine learning: Fundamental principles and 10 grand challenges	2022	Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong	1
+ PDF Chat	Development and validation of the Colorado learning attitudes about science survey for experimental physics	2013	Benjamin M. Zwickl Noah D. Finkelstein H. J. Lewandowski	1
+	Undergraduate data science degrees emphasize computer science and statistics but fall short in ethics training and domain-specific context	2021	Jeffrey C. Oliver Torbet Mcneil	1