Jennifer Broatch
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Phone: 602-543-5684
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CLCC 267 Phoenix, AZ 85069
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Mail code: 2352Campus: West
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Jennifer Broatch is a statistician who specializes in mixed models and the application of those models to educational data- specifically value- added models. She also focuses on the improvement and development of statistics education by integrating statistics in natural science research courses, as well as partnering with local school districts and educational agencies. As a statistician, she also plays a key role in a number of interdisciplinary projects including: threatened species identification and modeling for IUCN scientists, plant diversity, latent finger print modeling in forensic science and more.
Prior to arriving at the West Valley campus, Broatch was a visiting assistant professor in the School of Mathematical and Statistical Sciences at Arizona State University’s Tempe campus where she taught both undergraduate and graduate courses.
- Ph.D. Statistics, Arizona State University 2009
- B.S. Economics, Arizona State University 2000
- B.A. Mathematics, Arizona State University 2000
Jennifer Broatch’s research interests include generalized linear mixed models, statistical computing, missing data, data with complex dependence structure, and statistical methods for educational evaluation. Her primary research focus is on the application of statistical methods to educational data, especially value added models.
Statistics:
- Broatch, J., Green, J., and Karl, A. “RealVAMS: An R package for Fitting a Multivariate Value-added
Model (VAM).” R Journal. Accepted- pending revisions (2017). - Broatch, J. and Karl, A. “Multivariate Generalized Linear Mixed Models for Evaluating and Predicting
Team Performance” Special Issue of Italian Journal of Applied Statistics. To appear -(2017). - Pivovarova, M.,Amrein-Beardsley, A., & Broatch, J., (2016). Value Added Models: Caveat Emptor.
Statistics and Public Policy, Vol 3 (1), pgs. 1-9, http://dx.doi.org/10.1080/2330443X.2016.1164641. - Pivovarova, M., Broatch, J., & Amrein-Beardsley, A. (2014). Chetty et al. on the American Statistical
Association’s recent position statement on value-added models (VAMs): Five points of contention
[Commentary]. Teachers College Record. http://www.tcrecord.org/content.asp?contentid=17633 - Broatch, J. and Lohr, S. (2012) “Multidimensional Assessment of Value Added by Teachers to Real-
World Outcomes”, Journal of Educational and Behavioral Statistics, vol. 37, 2: pp. 256-277
Interdisciplinary Reserach:
- Rowe, H., Tluczek, M., Broatch, J., Gruber, D., Jones, S., Langenfeld, D., McNamara, P., Weinstein,
L. “Comparison of trailside degradation across a gradient of trail use in the Sonoran Desert,” Journal
of Environmental Management, Accepted- pending revisions (2017). - De Alcaraz-Fossoul J, Mancenido, Michelle, Barrot Feixat C, and Broatch, Jennifer. “Ridge width
correlations between inked prints and powdered latent fingerprints” Journal of Forensic Sciences (To appear July 2018). - Comeros-Raynal, M., Polidoro, B., Broatch, J., Mann,B., Gorman,C., Buxton,C., Goodpaster, A., Iwatsuki,
Y., McDonald, T., Pollard, D., Russell,B., & Carpenter, K. (2016) “Predictors, Patterns, and Processes
of Extinction Risk in Porgies (Family: Sparidae).” Biological Conservation 202, pp. 88-98. - Kanthaswamy, Sree , Ng, Jillian, Broatch, Jennifer, Short, Jennifer and Roberts, Jeffrey. “Mitigating
Chinese-Indian rhesus macaque (Macaca mulatta) hybridity at the California National Primate Research
Center (CNPRC).” Journal of Medical Primatology, Version of Record online : 28 JUL 2016, Vol.
45 (6), pgs. 333-335, DOI: 10.1111/jmp.12231. - Sweat, Ken G., Broatch, Jennifer, Borror, Connie, Hagan, Kyle and Cahill, Thomas M. (2016) “Variability
in Scoville Heat Ratings of Commercially Grown Jalapeno, Habanero and Bhut Jolokia Peppers.”
Food Chemistry, Vol. 210, Nov. 2016, pp. 606-612. - Wilson, Natalia, Broatch, Jennifer, Jehn, Megan, & Davis, Charles III. (2015).“National Projections
of Time, Cost and Failure in Implantable Device Identification: Consideration of Unique Device
Identification Use.” Healthcare: The Journal of Delivery Science and Innovation 3 (2015), pp. 196-201 .
DOI:10.1016/j.hjdsi.2015.04.003
Computer Software:
- Andrew Karl and Jennifer Broatch. mvglmmRank: Multivariate Generalized Linear Mixed Models for Ranking Sports Teams. R Package. https://cran.r-project.org/web/packages/mvglmmRank/mvglmmRank.pdf
- Andrew Karl, Jennifer Broatch and Jennifer Green. RealVAMS: Multivariate VAM Fitting. R Package . https://cran.r-project.org/web/packages/RealVAMS/index.html
- Broatch,Jennifer Ellen*. Collaborative Research: RealVAMS- Getting Real-World Value from Value Added Models. NSF-EHR(10/1/2013 - 9/30/2016).
Courses
2025 Spring
Course Number | Course Title |
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BIO 593 | Applied Project |
STP 281 | Stat Analysis for Researchers |
MAT 593 | Applied Project |
2024 Fall
Course Number | Course Title |
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STP 499 | Individualized Instruction |
STP 311 | Regression & Time Series Anal |
STP 485 | Statistics Capstone |
BIO 592 | Research |
BIO 599 | Thesis |
BIO 593 | Applied Project |
MAT 593 | Applied Project |
STP 492 | Honors Directed Study |
2024 Summer
Course Number | Course Title |
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LSC 595 | Continuing Registration |
LSC 595 | Continuing Registration |
BIO 595 | Continuing Registration |
2024 Spring
Course Number | Course Title |
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BIO 595 | Continuing Registration |
BIO 593 | Applied Project |
BIO 595 | Continuing Registration |
2023 Fall
Course Number | Course Title |
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STP 499 | Individualized Instruction |
STP 311 | Regression & Time Series Anal |
STP 485 | Statistics Capstone |
BIO 592 | Research |
BIO 599 | Thesis |
BIO 593 | Applied Project |
MAT 593 | Applied Project |
LSC 540 | Statistics for Bio Data Sci I |
LSC 540 | Statistics for Bio Data Sci I |
2023 Spring
Course Number | Course Title |
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STP 281 | Stat Analysis for Researchers |
BIO 595 | Continuing Registration |
BIO 595 | Continuing Registration |
MAT 593 | Applied Project |
STP 485 | Statistics Capstone |
STP 493 | Honors Thesis |
2022 Fall
Course Number | Course Title |
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STP 311 | Regression & Time Series Anal |
STP 485 | Statistics Capstone |
BIO 592 | Research |
BIO 595 | Continuing Registration |
MAT 593 | Applied Project |
STP 492 | Honors Directed Study |
2022 Spring
Course Number | Course Title |
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STP 420 | Introductory Applied Statistic |
STP 499 | Individualized Instruction |
2021 Fall
Course Number | Course Title |
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STP 311 | Regression & Time Series Anal |
STP 485 | Statistics Capstone |
2021 Spring
Course Number | Course Title |
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STP 499 | Individualized Instruction |
2020 Fall
Course Number | Course Title |
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STP 499 | Individualized Instruction |
STP 311 | Regression & Time Series Anal |
LSC 394 | Special Topics |
STP 485 | Statistics Capstone |
2020 Spring
Course Number | Course Title |
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STP 499 | Individualized Instruction |
STP 499 | Individualized Instruction |
2019 Fall
Course Number | Course Title |
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STP 280 | Probabilty Statistics Research |
STP 499 | Individualized Instruction |
STP 311 | Regression & Time Series Anal |
- Broatch, J. The Impact of 'Real World Outcomes' on Teacher Effectiveness Measurements. Joint Statisitcal Meetings (JSM) - Boston (Aug 2014).
- Jennifer Broatch and Jenifer Boshes. Tossing the Tables: Using RStudio to Adapt to Student Learning Styles through Evolving Technology. United State Conference on Teaching Statistics (USCOTS) (May 2013).
- Jennifer Broatch. Multidimensional Assessment of Value-Added by Teachers to Real World Outcomes. Graduate Student Seminar - School of Mathematical and Statistical Sciences (Tempe) (Oct 2012).
- Jennifer Broatch. Session title: "Recent Developments in Value-added Models". Joint Statistical Meetings 2012 - San Diego, CA (Aug 2012).
- Educational Policy Analysis Archives, Referee (2014 - Present)
- Summer Common Reading Committee, Committee Member (2013 - Present)
- ExSciTE Workshop, Statistics Workshop Developer (2012 - Present)
- American Statistical Association- AZ Chapter, Annual Statistics Workshop - Instructor (2012 - Present)
- American Statistical Association- AZ Chapter, Annual Statistics Workshop - Instructor (2012 - Present)
- Statistics, Politics and Policy, Referee (2012 - Present)
- Journal of Educational and Behavioral Statistics, Referee (2012 - Present)
- American Educational Research Journal, Referee (2012 - Present)
- Intel Science and Engineering Fair, Judge (2012 - Present)
- Joint Statistical Meetings Program Committee (JSM 2015), Committee Member (2014 - 2015)
External Grant Evaluator for multiple United States Department of Education (USDoE): Math Science Partnership (MSP) Grants *Evaluation of summer educational interventions (data collected in June and evaluated in July for all projects)
- Chandler Unified School District: Chandler Intel Mathematics Academy- Response to Intervention (2013-2015), Science Matters (2014-2015), Chandler Intel Mathematics Academies (2009-2011), and Physical Science Investigators and Chandler Science Investigators (2007-2008)
- Maricopa County Education Service Agency: FOCUS: Formative Assessment Opportunities andContent Training Using a Systematic approach (2015)
- Gila County Education Service Agency: GEORG: Gila Energy and Organisms (2015), FAMUS (2016)
- Crane Unified School District: Intel Math (2015)
- Agua Fria School District: SIMPLE - Integration of Math and Science (2016)
- Paradise Valley Unified School District: Intel Math (2016)
- Washington Elementary School District: Intel Math (2015)
The evaluation for the projects in 2009/ 2010 were recognized as meeting the highest standard of rigor in evaluation (2 of 55 national projects recognized). There were more than 2000 projects that are reviewed for rigor. My evaluation reports are used as exemplars. I provided general statistical support for the projects, including experimental design, data analysis and methodology development. Including the preparation of the evaluation portion of the annual report for submission to the state of Arizona and United States Department of Education.
The evaluation analyzed the impact of the program on teacher practice, teacher knowledge and student achievement, and worked closely with the district’s grant administrators to ensure project success, by providing informative assessment results.
Advanced Math Committee- Arizona Department of Education