John Ferron
Biographic Data
| ID | 191833 |
|---|---|
| NAME | John Ferron |
| GIVEN NAMES | John |
| FAMILY NAME | Ferron |
| SIGNATURE | FERRON J |
| AFFILIATIONS | University of South Florida |
| VERIFIED | No |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 9 |
| WORKS AS AUTHOR | 13 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1994 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
A Small Latent Class in Growth Mixture Modeling
Growth mixture modeling (GMM) allows researchers to explore heterogeneous growth trajectories across individuals. The unknown subgroup in GMM could be small in the population, but unestablished minimum class size rules (e.g., 1%, 5%, or 10%) may exclude small classes that may require unique representation and support. There has been no systematic investigation on the behaviors of GMM specifically for the identification of small latent classes. We…
Reporting guidelines for single-case experimental design research
Examining the Impact of and Sensitivity of Fit Indices to Omitting Covariates Interaction Effect in Multilevel Multiple-Indicator Multiple-Cause Models
This study examined the impact of omitting covariates interaction effect on parameter estimates in multilevel multiple-indicator multiple-cause models as well as the sensitivity of fit indices to model misspecification when the between-level, within-level, or cross-level interaction effect was left out in the models. The parameter estimates produced in the correct and the misspecified models were compared under varying conditions of cluster numbe…
Exploring the Test of Covariate Moderation Effects in Multilevel MIMIC Models
In multilevel multiple-indicator multiple-cause (MIMIC) models, covariates can interact at the within level, at the between level, or across levels. This study examines the performance of multilevel MIMIC models in estimating and detecting the interaction effect of two covariates through a simulation and provides an empirical demonstration of modeling the interaction in multilevel MIMIC models. The design factors include the location of the inter…
Longitudinal academic outcomes predicted by early adolescents’ subjective well-being, psychopathology, and mental health status yielded from a dual factor model
This longitudinal investigation examined the utility of subjective well-being (SWB) and psychopathology in predicting subsequent academic achievement and in-school behavior in 300 middle school students. Initial SWB predicted students’ grade point averages (GPAs) 1 year later, initial internalizing psychopathology predicted absences 1 year later, and initial externalizing psychopathology predicted grades, absences, and discipline problems 1 year …
Using an Iterative Model to Conceptualize, Pilot Test, and Validate Scores From an Instrument Measuring Teacher Readiness for Educational Reforms
Using an Iterative Model to Conceptualize, Pilot Test, and Validate Scores from an Instrument Measuring Teacher Readiness for Educational Reforms
Scores from the Teacher Readiness for Educational Reforms (TRER)instrument were validated using a six-phase, iterative model. Initial conceptualization, content validation, and pilot testing yielded a 61-item instrument with seven subdomains (Phases 1-4). Exploratory work (Phase 5) using principal axis factor extraction supported a five-factor structure (Data Set 1, n = 393). Further exploration with a five-factor free-path model and a more const…
Effects of Misspecifying the First-Level Error Structure in Two-Level Models of Change
Computer simulation methods were used to examine the sensitivity of model fit criteria to misspecification of the first-level error structure in two-level models of change, and then to examine the impact of misspecification on estimates of the variance parameters, estimates of the fixed effects, and tests of the fixed effects. Fit criteria frequently failed to identify the correct model when series lengths were short. Misspecification led to subs…
Construct Validity of Scores on a Developmental Assessment with Mathematical Patfierns Tasks
Three analytic approaches were employed within the framework of classical test theory to examine construct validity of a mathematics assessment made up of 16 ordered constructed-response tasks. The tasks focused on problem solving by identifying and explaining mathematical patterns. Descriptive analyses across four age groups suggested a developmental structure of individual tasks and subdomains that was generally consistent with the intended des…
Wisc-III Factor Invariance Across Deaf and Standardization Samples
The aim of this study was to investigate the factorial invariance of the Wechsler Intelligence Scale for Children-Third Edition (WISC-III) when administered to deaf children who use sign language. A multisample confirmatory factor analysis, using LISREL7, was used to test the four-factor model on the covariance matrices of subtest scale scores for deaf and standardization samples. The general form of the four-factor model fit for both samples. Pa…
Evaluating the Dimensional Structure of the Home Observation for Measurement of the Environment-Short form
This study explores the dimensional structure of the Home Observation for the Measurement of the Environment-Short Form (HOME-SF). Confirmatory factor analysis was used to evaluate three hypothesized factor structures. Data pertain to 1,250 children up to 2 years old, assessed by the National Longitudinal Survey of Youth (NLSY). All models were found to be unsatisfactory. The global fit indexes were low, solutions were inadmissible, and many of t…
A Structural Model for the Developmental Status of Young Children
Patricia Garrett, John Ferron, Nicholas Ng'Andu, Donna Bryant, Gloria Harbin, A Structural Model for the Developmental Status of Young Children, Journal of Marriage and Family, Vol. 56, No. 1 (Feb., 1994), pp. 147-163
Is Rural Residency a Risk Factor for Childhood Poverty?1
The influence of rural variables on young children's poverty status, adjusting for individual and family characteristics, is explored. The literature suggests that specific demographic variables exert an overwhelming influence on children's poverty status. This is confirmed with data from the National Longitudinal Survey of Youth. Results also suggest that the residential histories of children have consequences for their poverty status, even afte…
Is Rural Residency a Risk Factor for Childhood Poverty?1
The influence of rural variables on young children's poverty status, adjusting for individual and family characteristics, is explored. The literature suggests that specific demographic variables exert an overwhelming influence on children's poverty status. This is confirmed with data from the National Longitudinal Survey of Youth. Results also suggest that the residential histories of children have consequences for their poverty status, even afte…
A Structural Model for the Developmental Status of Young Children
Patricia Garrett, John Ferron, Nicholas Ng'Andu, Donna Bryant, Gloria Harbin, A Structural Model for the Developmental Status of Young Children, Journal of Marriage and Family, Vol. 56, No. 1 (Feb., 1994), pp. 147-163
Evaluating the Dimensional Structure of the Home Observation for Measurement of the Environment-Short form
This study explores the dimensional structure of the Home Observation for the Measurement of the Environment-Short Form (HOME-SF). Confirmatory factor analysis was used to evaluate three hypothesized factor structures. Data pertain to 1,250 children up to 2 years old, assessed by the National Longitudinal Survey of Youth (NLSY). All models were found to be unsatisfactory. The global fit indexes were low, solutions were inadmissible, and many of t…
A Structural Model for the Developmental Status of Young Children
Patricia Garrett, John Ferron, Nicholas Ng'Andu, Donna Bryant, Gloria Harbin, A Structural Model for the Developmental Status of Young Children, Journal of Marriage and Family, Vol. 56, No. 1 (Feb., 1994), pp. 147-163
Is Rural Residency a Risk Factor for Childhood Poverty?1
The influence of rural variables on young children's poverty status, adjusting for individual and family characteristics, is explored. The literature suggests that specific demographic variables exert an overwhelming influence on children's poverty status. This is confirmed with data from the National Longitudinal Survey of Youth. Results also suggest that the residential histories of children have consequences for their poverty status, even afte…
Wisc-III Factor Invariance Across Deaf and Standardization Samples
The aim of this study was to investigate the factorial invariance of the Wechsler Intelligence Scale for Children-Third Edition (WISC-III) when administered to deaf children who use sign language. A multisample confirmatory factor analysis, using LISREL7, was used to test the four-factor model on the covariance matrices of subtest scale scores for deaf and standardization samples. The general form of the four-factor model fit for both samples. Pa…
Construct Validity of Scores on a Developmental Assessment with Mathematical Patfierns Tasks
Three analytic approaches were employed within the framework of classical test theory to examine construct validity of a mathematics assessment made up of 16 ordered constructed-response tasks. The tasks focused on problem solving by identifying and explaining mathematical patterns. Descriptive analyses across four age groups suggested a developmental structure of individual tasks and subdomains that was generally consistent with the intended des…
Using an Iterative Model to Conceptualize, Pilot Test, and Validate Scores From an Instrument Measuring Teacher Readiness for Educational Reforms
Using an Iterative Model to Conceptualize, Pilot Test, and Validate Scores from an Instrument Measuring Teacher Readiness for Educational Reforms
Scores from the Teacher Readiness for Educational Reforms (TRER)instrument were validated using a six-phase, iterative model. Initial conceptualization, content validation, and pilot testing yielded a 61-item instrument with seven subdomains (Phases 1-4). Exploratory work (Phase 5) using principal axis factor extraction supported a five-factor structure (Data Set 1, n = 393). Further exploration with a five-factor free-path model and a more const…
Effects of Misspecifying the First-Level Error Structure in Two-Level Models of Change
Computer simulation methods were used to examine the sensitivity of model fit criteria to misspecification of the first-level error structure in two-level models of change, and then to examine the impact of misspecification on estimates of the variance parameters, estimates of the fixed effects, and tests of the fixed effects. Fit criteria frequently failed to identify the correct model when series lengths were short. Misspecification led to subs…
Longitudinal academic outcomes predicted by early adolescents’ subjective well-being, psychopathology, and mental health status yielded from a dual factor model
This longitudinal investigation examined the utility of subjective well-being (SWB) and psychopathology in predicting subsequent academic achievement and in-school behavior in 300 middle school students. Initial SWB predicted students’ grade point averages (GPAs) 1 year later, initial internalizing psychopathology predicted absences 1 year later, and initial externalizing psychopathology predicted grades, absences, and discipline problems 1 year …
Exploring the Test of Covariate Moderation Effects in Multilevel MIMIC Models
In multilevel multiple-indicator multiple-cause (MIMIC) models, covariates can interact at the within level, at the between level, or across levels. This study examines the performance of multilevel MIMIC models in estimating and detecting the interaction effect of two covariates through a simulation and provides an empirical demonstration of modeling the interaction in multilevel MIMIC models. The design factors include the location of the inter…
Examining the Impact of and Sensitivity of Fit Indices to Omitting Covariates Interaction Effect in Multilevel Multiple-Indicator Multiple-Cause Models
This study examined the impact of omitting covariates interaction effect on parameter estimates in multilevel multiple-indicator multiple-cause models as well as the sensitivity of fit indices to model misspecification when the between-level, within-level, or cross-level interaction effect was left out in the models. The parameter estimates produced in the correct and the misspecified models were compared under varying conditions of cluster numbe…
A Small Latent Class in Growth Mixture Modeling
Growth mixture modeling (GMM) allows researchers to explore heterogeneous growth trajectories across individuals. The unknown subgroup in GMM could be small in the population, but unestablished minimum class size rules (e.g., 1%, 5%, or 10%) may exclude small classes that may require unique representation and support. There has been no systematic investigation on the behaviors of GMM specifically for the identification of small latent classes. We…
Reporting guidelines for single-case experimental design research
Psychology (9 works) · Mathematics (7 works) · Statistics (7 works) · Psychometrics (6 works) · Computer Science (5 works) · Developmental psychology (5 works) · Demography (4 works) · Econometrics (4 works) · Psychometric Methodologies and Testing (4 works) · Structural equation modeling (4 works)