Timothy Hayes
Biographic Data
| ID | 4127550 |
|---|---|
| NAME | Timothy Hayes |
| GIVEN NAMES | Timothy |
| FAMILY NAME | Hayes |
| SIGNATURE | HAYES T |
| AFFILIATIONS | Florida International University |
| ORCID | 0000-0001-7530-0241 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
The relation between spatial language comprehension and mental transformation during early childhood
Modeling the Mediating Effects of HIV-Related Stigma on the Associations Between Race/Ethnicity and Antiretroviral Therapy Adherence and Viral Suppression Among Diverse Racial and Ethnic Minority Wome…
Targeted Sleep Enhancement Reduces Residual Anxiety Symptoms in Peri-Adolescents Previously Treated for Anxiety Disorders
Impact of an 8-Week, Intensive Summer Treatment Program on Improving Coercive Caregiver-Child Interactions Among Children With and Without Callous Unemotional Traits
Effects of English versus Spanish language exposure on basic multisensory attention skills across 3 to 36 months of age
Recent research has demonstrated that individual differences in infant attention to faces and voices of women speaking predict language outcomes in childhood. These findings have been generated using two new audiovisual attention assessments appropriate for infants and young children, the Multisensory Attention Assessment Protocol (MAAP) and the Intersensory Processing Efficiency Protocol (IPEP). The MAAP and IPEP assess three basic attention ski…
The influence of gender and other extralegal factors on student loan bankruptcy decisions
A school-based parenting program for children with attention-deficit/hyperactivity disorder
The Ethnic Identity Scale
The present study expands our understanding of the multidimensionality of ERI, highlighting the need for examination of how we measure ERI affect at the very least, and possibly how we conceptualize it within the broader ERI literature. (PsycInfo Database Record (c) 2022 APA, all rights reserved
Factor Score Regression in Connected Measurement Models Containing Cross-Loadings
Factor Score Regression (FSR) methods have received increased interest in the quantitative literature, with Croon’s bias-correcting method gaining particular traction. By fixing measurement parameters in place in an initial step, FSR methods aim to stymie the proliferation of bias in larger structural models that may contain misspecification. Although Croon’s approach was originally derived for factor models exhibiting simple structure and condit…
Factor Score Regression in the Presence of Correlated Unique Factors
Recently, quantitative researchers have shown increased interest in two-step factor score regression (FSR) approaches to structural model estimation. A particularly promising approach proposed by Croon involves first extracting factor scores for each latent factor in a larger model, then correcting the variance−covariance matrix of the factor scores for bias before using this matrix as input data in a subsequent regression analysis or path model.…
A Comparison of Multilevel Imputation Schemes for Random Coefficient Models
Literature addressing missing data handling for random coefficient models is particularly scant, and the few studies to date have focused on the fully conditional specification framework and "reverse random coefficient" imputation. Although it has not received much attention in the literature, a joint modeling strategy that uses random within-cluster covariance matrices to preserve cluster-specific associations is a promising alternative for rand…
Evaluating the Performance of Cart-Based Missing Data Methods Under a Missing Not at Random Mechanism
"Evaluating the Performance of CART-Based Missing Data Methods Under a Missing Not at Random Mechanism." Multivariate Behavioral Research, 52(1), pp. 113–114
On the Mathematical Relationship Between Latent Change Score and Autoregressive Cross-Lagged Factor Approaches
The present paper focuses on the relationship between latent change score (LCS) and autoregressive cross-lagged (ARCL) factor models in longitudinal designs. These models originated from different theoretical traditions for different analytic purposes, yet they share similar mathematical forms. In this paper, we elucidate the mathematical relationship between these models and show that the LCS model is reduced to the ARCL model when fixed effects…
The Ethnic Identity Scale
The present study expands our understanding of the multidimensionality of ERI, highlighting the need for examination of how we measure ERI affect at the very least, and possibly how we conceptualize it within the broader ERI literature. (PsycInfo Database Record (c) 2022 APA, all rights reserved
On the Mathematical Relationship Between Latent Change Score and Autoregressive Cross-Lagged Factor Approaches
The present paper focuses on the relationship between latent change score (LCS) and autoregressive cross-lagged (ARCL) factor models in longitudinal designs. These models originated from different theoretical traditions for different analytic purposes, yet they share similar mathematical forms. In this paper, we elucidate the mathematical relationship between these models and show that the LCS model is reduced to the ARCL model when fixed effects…
Evaluating the Performance of Cart-Based Missing Data Methods Under a Missing Not at Random Mechanism
"Evaluating the Performance of CART-Based Missing Data Methods Under a Missing Not at Random Mechanism." Multivariate Behavioral Research, 52(1), pp. 113–114
A Comparison of Multilevel Imputation Schemes for Random Coefficient Models
Literature addressing missing data handling for random coefficient models is particularly scant, and the few studies to date have focused on the fully conditional specification framework and "reverse random coefficient" imputation. Although it has not received much attention in the literature, a joint modeling strategy that uses random within-cluster covariance matrices to preserve cluster-specific associations is a promising alternative for rand…
Factor Score Regression in Connected Measurement Models Containing Cross-Loadings
Factor Score Regression (FSR) methods have received increased interest in the quantitative literature, with Croon’s bias-correcting method gaining particular traction. By fixing measurement parameters in place in an initial step, FSR methods aim to stymie the proliferation of bias in larger structural models that may contain misspecification. Although Croon’s approach was originally derived for factor models exhibiting simple structure and condit…
Factor Score Regression in the Presence of Correlated Unique Factors
Recently, quantitative researchers have shown increased interest in two-step factor score regression (FSR) approaches to structural model estimation. A particularly promising approach proposed by Croon involves first extracting factor scores for each latent factor in a larger model, then correcting the variance−covariance matrix of the factor scores for bias before using this matrix as input data in a subsequent regression analysis or path model.…
A school-based parenting program for children with attention-deficit/hyperactivity disorder
The Ethnic Identity Scale
The present study expands our understanding of the multidimensionality of ERI, highlighting the need for examination of how we measure ERI affect at the very least, and possibly how we conceptualize it within the broader ERI literature. (PsycInfo Database Record (c) 2022 APA, all rights reserved
The influence of gender and other extralegal factors on student loan bankruptcy decisions
Effects of English versus Spanish language exposure on basic multisensory attention skills across 3 to 36 months of age
Recent research has demonstrated that individual differences in infant attention to faces and voices of women speaking predict language outcomes in childhood. These findings have been generated using two new audiovisual attention assessments appropriate for infants and young children, the Multisensory Attention Assessment Protocol (MAAP) and the Intersensory Processing Efficiency Protocol (IPEP). The MAAP and IPEP assess three basic attention ski…
Modeling the Mediating Effects of HIV-Related Stigma on the Associations Between Race/Ethnicity and Antiretroviral Therapy Adherence and Viral Suppression Among Diverse Racial and Ethnic Minority Wome…
Targeted Sleep Enhancement Reduces Residual Anxiety Symptoms in Peri-Adolescents Previously Treated for Anxiety Disorders
Impact of an 8-Week, Intensive Summer Treatment Program on Improving Coercive Caregiver-Child Interactions Among Children With and Without Callous Unemotional Traits
The relation between spatial language comprehension and mental transformation during early childhood
Psychology (6 works) · Mathematics (5 works) · Statistics (5 works) · Clinical Psychology (4 works) · Developmental psychology (4 works) · Econometrics (4 works) · Computer Science (3 works) · Factor analysis (3 works) · Psychometric Methodologies and Testing (3 works) · Advanced Statistical Modeling Techniques (2 works)