Terrence D Jorgensen
Biographic Data
| ID | 150260 |
|---|---|
| NAME | Terrence D Jorgensen |
| GIVEN NAMES | Terrence D |
| FAMILY NAME | Jorgensen |
| SIGNATURE | JORGENSEN T D |
| AFFILIATIONS | University of Amsterdam |
| ORCID | 0000-0001-5111-6773 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Exploring the context-specificity of teacher self-efficacy: A multilevel analysis of class characteristics in secondary schools
Teacher self-efficacy (TSE) is supposed to positively affect teachers’ well-being, instructional quality and students’ motivation. However, the extent to which secondary school teachers’ TSE is shaped by their social teaching environment—particularly the different classes they teach—remains largely unexplored. This pre-registered study exploratorily investigated to what extent TSE can be considered a context-specific construct that varies within …
Intertemporal Impatience Across Mental Health in a Community Sample: A Novel Transdiagnostic Approach
Intertemporal impatience has been proposed to be centrally and transdiagnostically implicated across mental health difficulties, including maladaptive behaviors, psychopathologies, and other psychological outcomes. We empirically tested this proposal using a novel research approach that integrates per‐category , trans‐category , scale‐level , and item‐level analyses. First, we studied per‐category continuous associations between intertemporal imp…
How to Estimate Intraclass Correlation Coefficients for Interrater Reliability from Planned Incomplete Data
The interrater reliability (IRR) of observational data is often estimated by means of intraclass correlation coefficients (ICCs), which are flexible IRR estimators that are based on the variance decomposition of scores obtained by observations. ICCs are typically estimated using mean squares from an ANOVA model, the computation of which is not straightforward for incomplete data. However, many studies in behavioral research use planned missing ob…
Interrater Reliability for Interdependent Social Network Data: A Generalizability Theory Approach
We propose interrater reliability coefficients for observational interdependent social network data, which are dyadic data from a network of interacting subjects that are observed by external raters. Using the social relations model, dyadic scores of subjects' behaviors during these interactions can be decomposed into actor, partner, and relationship effects. These effects constitute different facets of theoretical interest about which researcher…
Empirical Bayes Priors for MCMC Estimation of the Multivariate Social Relations Model
The social relations model (SRM) is a linear random-effects model applied to examine dyadic round-robin data within social networks. Such data have a unique multilevel structure in that dyads are cross-classified within individuals who may be nested within different social networks. The SRM decomposes perceptual or behavioral measures into multiple components: case-level random effects (in-coming and out-going effects) and dyad-level residuals (r…
Evaluating Local Model Misspecification with Modification Indices in Bayesian Structural Equation Modeling
Model evaluation is a crucial step in SEM, consisting of two broad areas: global and local fit, where local fit indices are used to modify the original model. In the modification process, the modification index (MI) and the standardized expected parameter change (SEPC) are used to select the parameters that can be added to improve the fit. The purpose of this study is to extend the application of MI and SEPC to Bayesian SEM. We present how resear…
Autistic traits and self-conscious emotions in early childhood
Self-conscious emotions arise from evaluating the self through the eyes of others. Given that children with autistic traits may experience difficulties with understanding others' minds, they might show less attuned self-conscious emotions. Two-to-five-year-old children's (N = 98, M age = 48.54 months, 50% girls, 92% White) self-conscious emotions (guilt, embarrassment, and shame-like avoidance) were observed after children “broke” the experimente…
Intervention-induced temperament changes in children: Evidence from a randomized controlled trial of the Incredible Years parent program
Child temperament has long been viewed as a potential susceptibility factor in the link between parenting and child disruptive behavior (CDB). Specifically, the idea is that children with higher negative emotionality, surgency, and lower effortful control are more affected by their received parenting, but experimental evidence is scarce. Also, others have argued that child temperament might not be a susceptibility factor but a factor that can cha…
How to Derive Expected Values of Structural Equation Model Parameters when Treating Discrete Data as Continuous
This tutorial presents an analytical derivation of univariate and bivariate moments of numerically weighted ordinal variables, implied by their latent responses’ covariance matrix and thresholds. Fitting a SEM to those moments yields population-level SEM parameters when discrete data are treated as continuous, which is less computationally intensive than Monte Carlo simulation to calculate transformation (discretization) error. A real-data exampl…
Not One Sexual Double Standard but Two? Adolescents' Attitudes About Appropriate Sexual Behavior
Popular belief holds that sexual behavior is evaluated more liberally for males than females. However, the assessment of this 'sexual double standard' is controversial. Therefore, we investigated measurement equivalence of commonly used items to assess sexual double standards in previous research. Based on established measurement equivalence, we investigated whether adolescents endorsed a sexual double standard. Using data from 455 adolescents ( …
The Impact of Unmodeled Heteroskedasticity on Assessing Measurement Invariance in Single-group Models
This study compared two single-group approaches for assessing measurement invariance across an observed background variable: restricted factor analysis (RFA) and moderated nonlinear factor analysis (MNLFA). In MNLFA models, heteroskedasticity can be accounted for by allowing the common-factor variance and the residual variances to differ as a function of the background variable. In contrast, RFA models assume homoskedasticity of both the common f…
Determinants of Non-paid Task Division in Gay-, Lesbian-, and Heterosexual-Parent Families With Infants Conceived Using Artificial Reproductive Techniques
Background: The division of non-paid labor in heterosexual parents in the West is usually still gender-based, with mothers taking on the majority of direct caregiving responsibilities. However, in same-sex couples, gender cannot be the deciding factor. Inspired by Feinberg’s ecological model of co-parenting, this study investigated whether infant temperament, parent factors (biological relatedness to child, psychological adjustment, parenting str…
Using modern methods for missing data analysis with the social relations model: A bridge to social network analysis
Exploring the gold-standard: Evidence for a two-factor model of the Clinician Administered PTSD Scale for the DSM–5
These findings indicate that the CAPS-5 can be seen as measuring 2 distinct phenomena: posttraumatic stress disorder and general posttraumatic dysphoria. This is an important contribution to the current debate on which latent factors constitute PTSD and may reduce discordance. (PsycINFO Database Record
Mealtime behaviors associated with consumption of unfamiliar foods by young children with autism spectrum disorder
Testing a dual-process model of avoidant defenses
On the Joys of Missing Data
We provide conceptual introductions to missingness mechanisms--missing completely at random, missing at random, and missing not at random--and state-of-the-art methods of handling missing data--full-information maximum likelihood and multiple imputation--followed by a discussion of planned missing designs: Multiform questionnaire protocols, 2-method measurement models, and wave-missing longitudinal designs. We reviewed 80 articles of empirical st…
Not One Sexual Double Standard but Two? Adolescents' Attitudes About Appropriate Sexual Behavior
Popular belief holds that sexual behavior is evaluated more liberally for males than females. However, the assessment of this 'sexual double standard' is controversial. Therefore, we investigated measurement equivalence of commonly used items to assess sexual double standards in previous research. Based on established measurement equivalence, we investigated whether adolescents endorsed a sexual double standard. Using data from 455 adolescents ( …
Testing a dual-process model of avoidant defenses
Mealtime behaviors associated with consumption of unfamiliar foods by young children with autism spectrum disorder
On the Joys of Missing Data
We provide conceptual introductions to missingness mechanisms--missing completely at random, missing at random, and missing not at random--and state-of-the-art methods of handling missing data--full-information maximum likelihood and multiple imputation--followed by a discussion of planned missing designs: Multiform questionnaire protocols, 2-method measurement models, and wave-missing longitudinal designs. We reviewed 80 articles of empirical st…
Mealtime behaviors associated with consumption of unfamiliar foods by young children with autism spectrum disorder
Testing a dual-process model of avoidant defenses
Exploring the gold-standard: Evidence for a two-factor model of the Clinician Administered PTSD Scale for the DSM–5
These findings indicate that the CAPS-5 can be seen as measuring 2 distinct phenomena: posttraumatic stress disorder and general posttraumatic dysphoria. This is an important contribution to the current debate on which latent factors constitute PTSD and may reduce discordance. (PsycINFO Database Record
Using modern methods for missing data analysis with the social relations model: A bridge to social network analysis
Determinants of Non-paid Task Division in Gay-, Lesbian-, and Heterosexual-Parent Families With Infants Conceived Using Artificial Reproductive Techniques
Background: The division of non-paid labor in heterosexual parents in the West is usually still gender-based, with mothers taking on the majority of direct caregiving responsibilities. However, in same-sex couples, gender cannot be the deciding factor. Inspired by Feinberg’s ecological model of co-parenting, this study investigated whether infant temperament, parent factors (biological relatedness to child, psychological adjustment, parenting str…
The Impact of Unmodeled Heteroskedasticity on Assessing Measurement Invariance in Single-group Models
This study compared two single-group approaches for assessing measurement invariance across an observed background variable: restricted factor analysis (RFA) and moderated nonlinear factor analysis (MNLFA). In MNLFA models, heteroskedasticity can be accounted for by allowing the common-factor variance and the residual variances to differ as a function of the background variable. In contrast, RFA models assume homoskedasticity of both the common f…
How to Derive Expected Values of Structural Equation Model Parameters when Treating Discrete Data as Continuous
This tutorial presents an analytical derivation of univariate and bivariate moments of numerically weighted ordinal variables, implied by their latent responses’ covariance matrix and thresholds. Fitting a SEM to those moments yields population-level SEM parameters when discrete data are treated as continuous, which is less computationally intensive than Monte Carlo simulation to calculate transformation (discretization) error. A real-data exampl…
Not One Sexual Double Standard but Two? Adolescents' Attitudes About Appropriate Sexual Behavior
Popular belief holds that sexual behavior is evaluated more liberally for males than females. However, the assessment of this 'sexual double standard' is controversial. Therefore, we investigated measurement equivalence of commonly used items to assess sexual double standards in previous research. Based on established measurement equivalence, we investigated whether adolescents endorsed a sexual double standard. Using data from 455 adolescents ( …
Autistic traits and self-conscious emotions in early childhood
Self-conscious emotions arise from evaluating the self through the eyes of others. Given that children with autistic traits may experience difficulties with understanding others' minds, they might show less attuned self-conscious emotions. Two-to-five-year-old children's (N = 98, M age = 48.54 months, 50% girls, 92% White) self-conscious emotions (guilt, embarrassment, and shame-like avoidance) were observed after children “broke” the experimente…
Intervention-induced temperament changes in children: Evidence from a randomized controlled trial of the Incredible Years parent program
Child temperament has long been viewed as a potential susceptibility factor in the link between parenting and child disruptive behavior (CDB). Specifically, the idea is that children with higher negative emotionality, surgency, and lower effortful control are more affected by their received parenting, but experimental evidence is scarce. Also, others have argued that child temperament might not be a susceptibility factor but a factor that can cha…
Evaluating Local Model Misspecification with Modification Indices in Bayesian Structural Equation Modeling
Model evaluation is a crucial step in SEM, consisting of two broad areas: global and local fit, where local fit indices are used to modify the original model. In the modification process, the modification index (MI) and the standardized expected parameter change (SEPC) are used to select the parameters that can be added to improve the fit. The purpose of this study is to extend the application of MI and SEPC to Bayesian SEM. We present how resear…
How to Estimate Intraclass Correlation Coefficients for Interrater Reliability from Planned Incomplete Data
The interrater reliability (IRR) of observational data is often estimated by means of intraclass correlation coefficients (ICCs), which are flexible IRR estimators that are based on the variance decomposition of scores obtained by observations. ICCs are typically estimated using mean squares from an ANOVA model, the computation of which is not straightforward for incomplete data. However, many studies in behavioral research use planned missing ob…
Interrater Reliability for Interdependent Social Network Data: A Generalizability Theory Approach
We propose interrater reliability coefficients for observational interdependent social network data, which are dyadic data from a network of interacting subjects that are observed by external raters. Using the social relations model, dyadic scores of subjects' behaviors during these interactions can be decomposed into actor, partner, and relationship effects. These effects constitute different facets of theoretical interest about which researcher…
Empirical Bayes Priors for MCMC Estimation of the Multivariate Social Relations Model
The social relations model (SRM) is a linear random-effects model applied to examine dyadic round-robin data within social networks. Such data have a unique multilevel structure in that dyads are cross-classified within individuals who may be nested within different social networks. The SRM decomposes perceptual or behavioral measures into multiple components: case-level random effects (in-coming and out-going effects) and dyad-level residuals (r…
Exploring the context-specificity of teacher self-efficacy: A multilevel analysis of class characteristics in secondary schools
Teacher self-efficacy (TSE) is supposed to positively affect teachers’ well-being, instructional quality and students’ motivation. However, the extent to which secondary school teachers’ TSE is shaped by their social teaching environment—particularly the different classes they teach—remains largely unexplored. This pre-registered study exploratorily investigated to what extent TSE can be considered a context-specific construct that varies within …
Intertemporal Impatience Across Mental Health in a Community Sample: A Novel Transdiagnostic Approach
Intertemporal impatience has been proposed to be centrally and transdiagnostically implicated across mental health difficulties, including maladaptive behaviors, psychopathologies, and other psychological outcomes. We empirically tested this proposal using a novel research approach that integrates per‐category , trans‐category , scale‐level , and item‐level analyses. First, we studied per‐category continuous associations between intertemporal imp…
Psychology (10 works) · Statistics (8 works) · Computer Science (7 works) · Econometrics (7 works) · Mathematics (7 works) · Social Psychology (7 works) · Developmental psychology (6 works) · Psychometric Methodologies and Testing (4 works) · Statistical Methods and Bayesian Inference (4 works) · Clinical Psychology (3 works)