Craig Wells

Craig Wells

University of Massachusetts Amherst

H-index: 27

North America-United States

About Craig Wells

Craig Wells, With an exceptional h-index of 27 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Massachusetts Amherst, specializes in the field of Psychometrics, applied statistics, range-null hypothesis testing, DIF, model fit.

His recent articles reflect a diverse array of research interests and contributions to the field:

Examining Appropriacy of CFI and TLI Cutoff Value in Multiple-Group CFA Test of Measurement Invariance to Enhance Accuracy of Test Score Interpretation

English Learners and Constructed-Response Science Test Items Challenges and Opportunities

irtplay: An R Package for Unidimensional Item Response Theory Modeling

A Recursion‐Based Analytical Approach to Evaluate the Performance of MST

Examining Three Learning Progressions in Middle-school Mathematics for Formative Assessment

Linguistic distance and translation differential item functioning on trends in international mathematics and science study mathematics assessment items

Assessing measurement invariance for applied research

Evaluating random and systematic error in student growth percentiles

Craig Wells Information

University

Position

Associate Professor

Citations(all)

2365

Citations(since 2020)

1143

Cited By

1678

hIndex(all)

27

hIndex(since 2020)

18

i10Index(all)

43

i10Index(since 2020)

33

Email

University Profile Page

University of Massachusetts Amherst

Google Scholar

View Google Scholar Profile

Craig Wells Skills & Research Interests

Psychometrics

applied statistics

range-null hypothesis testing

DIF

model fit

Top articles of Craig Wells

Title

Journal

Author(s)

Publication Date

Examining Appropriacy of CFI and TLI Cutoff Value in Multiple-Group CFA Test of Measurement Invariance to Enhance Accuracy of Test Score Interpretation

Sage Open

Abdolvahab Khademi

Craig S Wells

Maria Elena Oliveri

Ester Villalonga-Olives

2023/11

English Learners and Constructed-Response Science Test Items Challenges and Opportunities

Tracy Noble

Craig S Wells

Ann S Rosebery

2023/10/2

irtplay: An R Package for Unidimensional Item Response Theory Modeling

Journal of Statistical Software

Hwanggyu Lim

Craig S Wells

2022/8/16

A Recursion‐Based Analytical Approach to Evaluate the Performance of MST

Journal of Educational Measurement

Hwanggyu Lim

Tim Davey

Craig S Wells

2021/6

Examining Three Learning Progressions in Middle-school Mathematics for Formative Assessment

Applied Measurement in Education

Duy N Pham

Craig S Wells

Malcolm I Bauer

E Caroline Wylie

Scott Monroe

2021/4/3

Linguistic distance and translation differential item functioning on trends in international mathematics and science study mathematics assessment items

Journal of Psychoeducational Assessment

Semirhan Gökçe

Giray Berberoğlu

Craig S Wells

Stephen G Sireci

2021/9

Assessing measurement invariance for applied research

Craig S Wells

2021/6/3

Evaluating random and systematic error in student growth percentiles

Applied Measurement in Education

Craig S Wells

Stephen G Sireci

2020/10/1

irtplay: An R Package for Online Item Calibration, Scoring, Evaluation of Model Fit, and Useful Functions for Unidimensional IRT

Applied Psychological Measurement

Hwanggyu Lim

Craig S Wells

2020/10

Targeted linguistic simplification of science test items for English learners

American Educational Research Journal

Tracy Noble

Stephen G Sireci

Craig S Wells

Rachel R Kachchaf

Ann S Rosebery

...

2020/10

See List of Professors in Craig Wells University(University of Massachusetts Amherst)