Intern Cohorts
Check out our alumni from previous cohorts and their projects below.
Name |
University |
Program |
Project |
Radhika Kapoor |
Stanford University |
Education |
Process mining for mapping response sequences: NAEP Grade 4 Math items |
Muhammad Talal Khan |
University of Hawaii at Manoa |
Economics |
Structural Topic Modeling Using the 2019 NIES Open-Ended Teacher Responses |
Danielle Siegel |
University of California, Davis |
Quantitative Psychology |
Comparing Plausible Value Methodology and Direct Estimation using NAEP-like Data |
Jazzmine Waugh |
University of Washington |
Biology: Data Science |
Linking NAEP Data with External Data to Explore Student Experiences During COVID |
Name |
University |
Program |
Project |
Yusuf Canbolat |
Indiana University |
Education Policy |
Investigating the Relationship between Air Pollution and Education Outcomes Using NAEP and County-level Data |
Juno Yingzhi Dong |
University of California, Los Angeles |
Human Development and Psychology |
Creating an Interactive Tool– Shedding Light on Students who Perform Below NAEP Basic |
Eric Ho |
University of California, Los Angeles |
School of Education, Social Research Methodology |
Operation REQUISITE – Re-envisioning Educational Quantitative User Information: Shiny Interface to Explore |
Jacob Maibach |
University of Arizona |
Statistics |
How do 8th graders navigate NAEP mathematics? Exploring students’ navigational behaviors with process data |
Yichi Zhang |
University of Southern California |
Quantitative Methods and Computational Psychology |
Investigating Measurement Invariance in NAEP Student Questionnaire Index Items |
Name |
University |
Program |
Project |
Bhashithe (Bash) Abeysinghe |
Georgia State University |
Computer Science |
Equation Editor Usage: A case from 2017 NAEP Grade 8 Mathematics |
Matthew Davidson |
University of Washington |
Educational Measurement and Statistics |
The Use of Universal Design Features by English Learners: An analysis of NAEP 2017 Mathematics Grade 4 |
Kelly Guinn |
University of Iowa |
Criminology and Sociology of Education |
Behavioral Incidents, School Behavioral Climate, and Student Level Mathematics Achievement: Exploration of NAEP and SSOCS |
Elsie Lee |
University of Michigan |
School of Information/Data Visualization |
Re-envisioning Quantitative Data: Access to internet at home and policy initiatives for broadband internet |
Tabitha Wilbur |
Indiana University |
Sociology |
The Relationship between Algebra Skills, NAEP Performance, and Postsecondary Outcomes |
Yi Yang |
Columbia University |
Measurement, Evaluation, and Statistics |
Identifying Response Time Thresholds for Solution Behaviors: Exploratory Study on Proces Data in NAEP Assessment |
Haobai Zhang |
University of Delaware |
Education/Learning Sciences |
Evaluating Effects of Text-to-Speech on NAEP Mathematics Assessment |
Name |
University |
Program |
Project |
Ayse Cobanoglu |
University at Buffalo |
Educational Psychology and Quantitative Methods |
How is Mathematics Growth Related to the Growth in Working Memory in Early Grades? A Parallel Latent Growth Model of ECLS-K: 2011 Data |
Trenton Combs |
University of Miami |
Research, Measurement, and Education |
Bayesian Joint Modeling of Latent Speed and Ability |
Xin Qiao |
University of Maryland, College Park |
Measurement, Statistics and Evaluation |
Exploring Answer Change Behavior Using NAEP Process Data |
Wan Hee Kim |
Purdue University |
Literacy and Language Education |
Exploring Technology Inequality Among Grade 8 “Digital Natives”: Impact of the Coronavirus Pandemic and School Close on Education |
Huan “Hailey” Kuang |
University of Florida |
Research and Evaluation Methodology |
Is Test-Disengagement the Same Across Years? Comparison of Test Disengagement Between Different Years of PISA Process Data |
Archived Video
Name |
University |
Program |
Project |
Melanie Gonzalez |
University of Texas at Austin |
Developmental Psychology |
Does the relationship between TEL experience and TEL achievement differ by TEL learning source? |
Manqian “Mancy” Liao |
University of Maryland, College Park |
Measurement, Statistics & Evaluation |
Insights from students’ calculator use |
Monica Morell |
University of Maryland, College Park |
Measurement, Statistics & Evaluation |
Exploring item visits and students’ revisit behaviors: NAEP process data |
R. Noah Padgett |
Baylor University |
Educational Psychology |
Teacher weights study: Investigating trimming methods for state level teacher inferences |
Nixi Wang |
University of Washington |
Measurement & Statistics, Educational Psychology |
Exploring students’ non-response behaviors with process data |
Tong Wu |
Purdue University at West Lafayette |
Educational Psychology |
Exploring speededness in NAEP digitally based assessment |
Sinan Yavuz |
University of Wisconsin - Madison |
Quantitative Methods Program, Educational Psychology |
A comparison study of imputation methods: Imputing school-level NSLP |
Name |
University |
Program |
Project |
Ummugul Bezirhan |
Teachers College, Columbia University |
Measurement, Evaluation and Statistics |
Comparing Mantel-Haenszel and Wald DIF Detection methods under Matrix Sampling of Items |
Emma Cohen |
Indiana University |
Sociology |
STEM Course-taking, Motivation, and NAEP Grade 12 Mathematics |
Juanita Hicks |
University of North Carolina at Greensboro |
Educational Research Methodology |
Exploring Perceived Time Pressure and Speededness Using NAEP Process Data |
Glenn Hui |
George Mason University |
Statistical Science |
Item Profiling: A Case Study of NAEP Grade 4 Mathematics Process Data, Test Speededness in NAEP |
HyunJoo Jung |
University of Massachusetts Amherst |
Research, Educational Measurement, and Psychometrics |
Exploration of Issues with Applying Multistage Testing in NAEP: Evaluation of MST compared to Linear Assessment |
Youngjun Lee |
Michigan State University |
Measurement and Quantitative Methods |
Construction of an IRT-based SES index for NAEP 2003-2017 |
Xinyu (Crystal) Ni |
Teachers College, Columbia University |
Applied Statistics, Measurement and Evaluation |
Mathematics Course-taking Patterns and NAEP Performance, Test Speededness in NAEP |
Youmi Suk |
University of Wisconsin-Madison |
Quantitative Methods Program, Educational Psychology |
Effects of the Extended Time Accommodation (ETA) on Performance in NAEP Mathematics |
Seyfullah Tingir |
Florida State University |
Measurement and Statistics |
Examining the Relationships Between Students’ Social-Emotional Learning (SEL) Competencies and Reading Achievement through a Bayesian Network Analysis |
Mingqin Zhang |
University of Iowa |
Educational Measurement and Statistics |
Comparison of Weighted Composite, UIRT, and MIRT Ability Estimation Approaches in Routing Decisions in Multistage NAEP Assessment |
Name |
University |
Program |
Project |
Paris Adkins-Jackson |
Morgan State University |
Psychometrics |
Examining the Factor Structure of an SES Proxy with 2013 NAEP Grade 12 Math Assessment |
Maisaa Alahmadi |
Morgan State University |
Psychometrics |
A Closer Look at National Gender Gaps in Reading, Mathematics, and Science Achievement |
Tanesia Beverly |
University of Connecticut |
Measurement, Evaluation & Assessment |
Identifying Test-taking Behaviors Using Growth Mixture Models |
Kendra DeLaine |
Howard University |
Educational Psychology |
NCES College Preparedness Project, LTT Framework Comparison Project |
Andrew Iverson |
Washington State University |
Educational Psychology |
Language Minority Status, Reading Development, and Summer Reading Achievement Loss |
Eva (Yujia) Li |
University of Connecticut, Storrs |
Educational Measurement, Evaluation and Assessment |
Reading Growth and Summer Loss: Helping Those Potentially at-Risk, Relationship between Teaching Strategy and Early Reading Growth: A Nationally Representative Sample |
Bradlee Sutherland |
The Catholic University of America |
Applied Experimental Psychology |
Exploring Access to Digital Technologies at home and in school for Students in Grades 4, 8, and 12 by Selected Student Characteristics |
Xiaying (James) Zheng |
University of Maryland College Park |
Measurement, Statistics, and Evaluation |
The Impact of Missing Contextual Questionnaire Data on Group Level Ability Estimation, A comparison of pairwise cumulative linking and concurrent calibration linking using NAEP data |
Jinwang Zou |
University of Maryland College Park |
Measurement, Statistics, and Evaluation |
Reading motivation and achievement gap: Evidence from NAEP |