Skip to content

Main Navigation

NWEA
  • Sales
  • Support
  • Logins
    • Community
    • MAP Growth
    • MAP Growth Student Login
    • MAP Reading Fluency
    • MAP Reading Fluency Student Login
    • Professional Learning Online
  • Assessments
    • Map Suite
      • MAP Growth
        K–12
      • MAP Accelerator
        3-8
      • MAP Reading Fluency
        pre-K–5
    • State Solutions
    • Assessment resources
    • Family Toolkit
    • Kit de herramientas de la familia
    • Normative Data & RIT Scores
    • Accommodations & Accessibility
  • Solutions
    • District & School Solutions
    • Instructional Connections
    • Solutions by state
    • Solutions by school type
  • Learning & Improvement
    • Learning and Improvement Services
    • Professional Learning
      • Content-focused professional learning: Math and literacy suites
      • Creating Supportive Environments
      • Data to Support Instruction
      • Responsive Teaching and Learning
    • School Improvement Services
    • Academic Services
  • Research
    • Research Overview
    • Center for School and Student Progress
    • Collaborative for Student Growth
    • Measurement & Psychometrics
    • Research Publications
    • Research Partnerships
    • Expertise
  • Resources
    • Resource Center
    • Teach.Learn.Grow. blog
    • NWEA Connection
    • Events
  • About us
    • About
      • Board of Directors
      • Executive Officers
    • Careers
    • News
    • Our Mission
    • Policy & Advocacy
  • Tour Map Growth

Filter

Select one or more items from the filters below.

  • Academic content
  • Accessibility
  • Assessments in Spanish
  • College & career readiness
  • Computer adaptive testing
  • COVID-19 & schools
  • Early learning
  • Empowering educators
  • English Language Learners
  • Equity
  • Growth
  • Growth modeling
  • Guidance
  • High school
  • High-growth schools & practices
  • Informing instruction
  • Innovations in reporting & assessment
  • Item response theory
  • Learning standards & alignment
  • Math & STEM
  • Measurement & scaling
  • Middle school
  • Reading & language arts
  • School & test engagement
  • Seasonal learning patterns & summer loss
  • Social-emotional learning
  • Student growth & accountability policies
  • Test design
  • Elizabeth Barker, PhD
  • Helena Connolly, PhD
  • John Cronin, PhD
  • Michael Dahlin, PhD
  • Miles Davison, PhD
  • Erin Fahle, PhD
  • Michael Gaddis, PhD
  • Garron Gianopulos, PhD
  • Hui (Kim) Goutam, PhD
  • Meg Guerreiro, PhD
  • Ayesha K. Hashim, PhD
  • Wei He, PhD
  • Andrew Hegedus, EdD
  • Kari Hodge, PhD
  • Ann Hu, PhD
  • Nate Jensen, PhD
  • Angela Johnson, PhD
  • Daniel Katz
  • Jungnam Kim, PhD
  • G. Gage Kingsbury, PhD
  • Greg King, PhD
  • Susan Kowalski, PhD
  • Megan Kuhfeld, PhD
  • Meredith Langi, PhD
  • Katherine Lazenby, PhD
  • Jonghwan (Jay) Lee, PhD
  • Karyn Lewis, PhD
  • Xueming (Sylvia) Li, EdD
  • Tyler Matta, PhD
  • Andrew McEachin, PhD
  • Patrick Meyer, PhD
  • Emily Morton, PhD
  • Colleen Oppenzato
  • Fang Peng, PhD
  • Scott J. Peters, PhD
  • Alexis Prijoles, MEd
  • Erik Ruzek, PhD
  • James Soland, PhD
  • Yon Soo Suh, PhD
  • Beth Tarasawa, PhD
  • Yeow Meng Thum, PhD
  • Shudong Wang, PhD
  • Donald Williams
  • Steven Wise, PhD
  • Kang Xue, PhD
  • Blog article
  • Book
  • Data visualization
  • Journal article
  • Media mention
  • Policy brief
  • Presentation
  • Presentation paper
  • Research brief
  • Research report
  • Technical brief
  • Technical report
  • Upcoming presentation
  • White paper
  • Working paper
  • Center for School and Student Progress
  • Collaborative for Student Growth
  • Measurement & Psychometrics
  • MAP Growth
  • MAP Reading Fluency
  • MAP Spanish
APPLY
Clear Results

Date
Presentation paper

The effect of nonignorable missing data in computerized adaptive test on item fit statistics for polytomous item response models

These studies are conducted based on assumptions under regular conditions for fixed test forms, such as no missing responses and normal distribution of unidimensional ability for a population.

By: Shudong Wang, Hong Jiao

Topics: Computer adaptive testing, Item response theory, Measurement & scaling

2013
Journal article

Construct validity and measurement invariance of computerized adaptive testing: Application to Measures of Academic Progress (MAP) using confirmatory factor analysis

This study, using real data, provides empirical evidence of construct and invariance construct of MAP scales across grades at different academic calendars for 10 different states.

By: Shudong Wang, Marth S. McCall, Hong Jiao, Gregg Harris

Topics: Measurement & scaling, Test design

2013
Journal article

Validation of longitudinal achievement constructs of vertically scaled computerised adaptive tests: a multiple-indicator, latent-growth modelling approach

The current investigative study uses a multiple-indicator, latent-growth modelling (MLGM) approach to examine the longitudinal achievement construct and its invariance for MAP Growth.

By: Shudong Wang, Hong Jiao, Liru Zhang

Topics: Growth modeling, Measurement & scaling

2013
Journal article

Making teacher goal setting more powerful

Most of us believe that when individuals have goals, their performance improves, and this belief is being put to the test in schools today. In an effort to create alignment between district and school improvement efforts, teachers are more likely than ever to have formal performance goals.

By: Andrew Hegedus

Topics: Empowering educators, High-growth schools & practices

2014
Journal article

The potential of adaptive assessment

In this article, the authors explain how CAT provides a more precise, accurate picture of the achievement levels of both low-achieving and high-achieving students by adjusting questions as the testing goes along. The immediate, informative test results enable teachers to differentiate instruction to meet individual students’ current academic needs.

By: Edward Freeman

Topics: Innovations in reporting & assessment, Measurement & scaling, Student growth & accountability policies

2014
Journal article

The phantom collapse of student achievement in New York

When New York state released the first results of the exams under the Common Core State Standards, many wrongly believed that the results showed dramatic declines in student achievement. A closer look at the results showed that student achievement may have increased.

By: John Cronin, Nate Jensen

Topics: Measurement & scaling

2014
Journal article

The utility of adaptive testing in addressing the problem of unmotivated examinees

This integrative review examines the motivational benefits of computerized adaptive tests (CATs), and demonstrates that they can have important advantages over conventional tests in both identifying instances when examinees are exhibiting low effort, and effectively addressing the validity threat posed by unmotivated examinees.

By: Steven Wise

Topics: Innovations in reporting & assessment, Measurement & scaling, School & test engagement

2014
‹ 1 2 3 4 5 … 48 ›

Popular Topics

    College & career readinessEarly learningEquityHigh schoolSchool & test engagementSeasonal learning patterns & summer lossSocial-emotional learningStudent growth & accountability policies

Data Visualizations

View interactive tools that bring complex education issues to life. Explore patterns in growth, achievement, poverty, college readiness, and more.

Learn more

Research Partnerships

Our collaborations with university researchers, school systems, address diverse education research topics.

Learn more

Upcoming Research Presentations

Connect with us and learn about our newest research at these conferences and events.

Learn more

Media Contact

Simona Beattie
Sr. Manager, Public Relations

971.361.9526

Email

Stay current by subscribing to our newsletter

SIGN ME UP

Research Partnerships

apply below!
Thank you!

Thank you for registering to be a partner in research!

STAY CURRENT

by subscribing to our newsletter
Thank you!

You are now signed up to receive our newsletter containing the latest news, blogs, and resources from NWEA.