Yu‐yu Hsiao
Biographic Data
| ID | 4813568 |
|---|---|
| NAME | Yu‐yu Hsiao |
| GIVEN NAMES | Yu‐yu |
| FAMILY NAME | Hsiao |
| SIGNATURE | HSIAO Y Y |
| AFFILIATIONS | University of New Mexico |
| ORCID | 0000-0001-9296-4517 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Being Popular and Being Liked
Correcting for Unreliability and Partial Invariance
In path analysis, using composite scores without adjustment for measurement unreliability and violations of factorial invariance across groups lead to biased estimates of path coefficients. Although joint modeling of measurement and structural models can theoretically yield consistent structural association estimates, estimating a model with many variables is often impractical in small samples. A viable alternative is two-stage path analysis (2S-…
An R Shiny App for Sensitivity Analysis for Latent Growth Curve Mediation
Mechanisms of behavior change are the processes through which interventions are hypothesized to cause changes in outcomes. Latent growth curve mediation models (LGCMM) are recommended for investigating the mechanisms of behavior change because LGCMM models establish temporal precedence of change from the mediator to the outcome variable. The Correlated Augmented Mediation Sensitivity Analyses (CAMSA) App implements sensitivity analysis for LGCMM …
Modeling Measurement Errors of the Exogenous Composites From Congeneric Measures in Interaction Models
We investigated the performance of two single indicator methods: latent moderated structural equation (LMS) and reliability-adjusted product indicator (RAPI) methods, on testing interaction effects with congeneric measures, which vary in factor loadings and error variances under a common factor. Additionally, in the simulation study, we compared the performance of four reliability estimates (Cronbach’s alpha, omega composite, Coefficient H, and g…
The Differential Importance of Component Skills on Reading Comprehension Test Performance Among Struggling Adolescent Readers
Reading comprehension tests vary in format and characteristics, which may influence the extent to which component skills are involved in test performance. With students in Grades 6 to 8 with reading difficulties, dominance analyses examined the differential importance of component reading and language skills (word- and text-reading fluency, vocabulary, listening comprehension, and working memory) on several standardized tests of reading comprehen…
Latent Class Mediation
Latent class mediation modeling is designed to estimate the mediation effect when both the mediator and the outcome are latent class variables. We suggest using an adjusted one-step approach in which the latent class models for the mediator and the outcome are estimated first to decide on the number of classes, then the latent class models and the mediation model are jointly estimated. We present both an empirical demonstration and a simulation s…
Differential associations between extracurricular participation and Chinese children's academic readiness
Examining unidimensionality and improving reliability for the eight subscales of the SF-36 in opioid-dependent patients using Rasch analysis
Convergent and Discriminant Validity of the WHOQOL-BREF Using a Multitrait-Multimethod Approach
Examining unidimensionality and improving reliability for the eight subscales of the SF-36 in opioid-dependent patients using Rasch analysis
Convergent and Discriminant Validity of the WHOQOL-BREF Using a Multitrait-Multimethod Approach
Modeling Measurement Errors of the Exogenous Composites From Congeneric Measures in Interaction Models
We investigated the performance of two single indicator methods: latent moderated structural equation (LMS) and reliability-adjusted product indicator (RAPI) methods, on testing interaction effects with congeneric measures, which vary in factor loadings and error variances under a common factor. Additionally, in the simulation study, we compared the performance of four reliability estimates (Cronbach’s alpha, omega composite, Coefficient H, and g…
The Differential Importance of Component Skills on Reading Comprehension Test Performance Among Struggling Adolescent Readers
Reading comprehension tests vary in format and characteristics, which may influence the extent to which component skills are involved in test performance. With students in Grades 6 to 8 with reading difficulties, dominance analyses examined the differential importance of component reading and language skills (word- and text-reading fluency, vocabulary, listening comprehension, and working memory) on several standardized tests of reading comprehen…
Latent Class Mediation
Latent class mediation modeling is designed to estimate the mediation effect when both the mediator and the outcome are latent class variables. We suggest using an adjusted one-step approach in which the latent class models for the mediator and the outcome are estimated first to decide on the number of classes, then the latent class models and the mediation model are jointly estimated. We present both an empirical demonstration and a simulation s…
Differential associations between extracurricular participation and Chinese children's academic readiness
An R Shiny App for Sensitivity Analysis for Latent Growth Curve Mediation
Mechanisms of behavior change are the processes through which interventions are hypothesized to cause changes in outcomes. Latent growth curve mediation models (LGCMM) are recommended for investigating the mechanisms of behavior change because LGCMM models establish temporal precedence of change from the mediator to the outcome variable. The Correlated Augmented Mediation Sensitivity Analyses (CAMSA) App implements sensitivity analysis for LGCMM …
Correcting for Unreliability and Partial Invariance
In path analysis, using composite scores without adjustment for measurement unreliability and violations of factorial invariance across groups lead to biased estimates of path coefficients. Although joint modeling of measurement and structural models can theoretically yield consistent structural association estimates, estimating a model with many variables is often impractical in small samples. A viable alternative is two-stage path analysis (2S-…
Being Popular and Being Liked
Psychology (6 works) · Mathematics (5 works) · Statistics (5 works) · Structural equation modeling (5 works) · Developmental psychology (4 works) · Econometrics (3 works) · Psychometrics (3 works) · Child and Adolescent Psychosocial and Emotional Development (2 works) · Clinical Psychology (2 works) · Clinical Psychology (2 works)