Po-Yi Chen
Biographic Data
| ID | 8352499 |
|---|---|
| NAME | Po-Yi Chen |
| GIVEN NAMES | Po-Yi |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN P |
| AFFILIATIONS | University of Kansas |
| ORCID | 0000-0001-7444-9757 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
A Comparison of Methods for Testing Measurement Invariance with Unbalanced Data
Unbalanced data can adversely affect measurement equivalence/invariance (ME/I) testing. However, no studies have yet systematically compared the performances of currently available methods. Thus, in this study, we compared the performances of the Chi-squared difference (Δχ2) test, the multivariate Wald test (MWT), cutoffs of dynamic measurement invariance (DMI), and the commonly used alternative fit index cutoffs based on raw and subsampled data …
Examining the mediating role of reading amount between reading motivation and reading comprehension among American college students
Can an isolated middle-series item make a “Dent” in the bow-shaped serial-position curve of comparative judgments
Patterns, Risk Factors, and Mental Health Correlates of Cyber Intimate Partner Violence in Hispanic Emerging Adults
Validating the adult motivation for reading scale with Japanese college students
Testing Measurement Invariance with Ordinal Missing Data
Ordinal missing data are common in measurement equivalence/invariance (ME/I) testing studies. However, there is a lack of guidance on the appropriate method to deal with ordinal missing data in ME/I testing. Five methods may be used to deal with ordinal missing data in ME/I testing, including the continuous full information maximum likelihood estimation method (FIML), continuous robust FIML (rFIML), FIML with probit links (pFIML), FIML with logit…
Measuring quality of life with fuzzy numbers
Measuring quality of life with fuzzy numbers
Testing Measurement Invariance with Ordinal Missing Data
Ordinal missing data are common in measurement equivalence/invariance (ME/I) testing studies. However, there is a lack of guidance on the appropriate method to deal with ordinal missing data in ME/I testing. Five methods may be used to deal with ordinal missing data in ME/I testing, including the continuous full information maximum likelihood estimation method (FIML), continuous robust FIML (rFIML), FIML with probit links (pFIML), FIML with logit…
Validating the adult motivation for reading scale with Japanese college students
Patterns, Risk Factors, and Mental Health Correlates of Cyber Intimate Partner Violence in Hispanic Emerging Adults
Can an isolated middle-series item make a “Dent” in the bow-shaped serial-position curve of comparative judgments
Examining the mediating role of reading amount between reading motivation and reading comprehension among American college students
A Comparison of Methods for Testing Measurement Invariance with Unbalanced Data
Unbalanced data can adversely affect measurement equivalence/invariance (ME/I) testing. However, no studies have yet systematically compared the performances of currently available methods. Thus, in this study, we compared the performances of the Chi-squared difference (Δχ2) test, the multivariate Wald test (MWT), cutoffs of dynamic measurement invariance (DMI), and the commonly used alternative fit index cutoffs based on raw and subsampled data …
Psychology (5 works) · Developmental psychology (2 works) · Education, Achievement, and Giftedness (2 works) · Linguistics (2 works) · Mathematics (2 works) · Medicine (2 works) · Pedagogy (2 works) · Reading motivation (2 works) · Social Psychology (2 works) · Statistics (2 works)