Dylan Molenaar
Biographic Data
| ID | 1662604 |
|---|---|
| NAME | Dylan Molenaar |
| GIVEN NAMES | Dylan |
| FAMILY NAME | Molenaar |
| SIGNATURE | MOLENAAR D |
| AFFILIATIONS | University of Amsterdam |
| ORCID | 0000-0001-7108-4545 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 27 |
| WORKS AS AUTHOR | 15 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Multiple Imputation of Missing Data in Moderated Factor Analysis
In moderated factor analysis, the parameters of the traditional common factor model are a function of an external continuous moderator variable. Handling missing values on the observed indicator variables of the common factors is straightforward as the parameters can be estimated using full information maximum likelihood. However, for cases with missing values on the moderator variable the likelihood function cannot be evaluated. Consequently, in…
From everyday life to measurable problematic smartphone use
Methods to split cognitive task data for estimating split-half reliability
Estimating the reliability of cognitive task datasets is commonly done via split-half methods. We review four methods that differ in how the trials are split into parts: a first-second half split, an odd-even trial split, a permutated split, and a Monte Carlo-based split. Additionally, each splitting method could be combined with stratification by task design. These methods are reviewed in terms of the degree to which they are confounded with fou…
Do We Hold Males and Females to the Same Standard? A Measurement Invariance Study on the Psychopathy Checklist-Revised
Psychopathy in females has been understudied. Extant data on gender comparisons using the predominant measure of assessment in clinical practice, the Psychopathy Checklist Revised (PCL-R), points to a potential lack of measurement invariance (MI). If indeed the instrument does not perform equally (well) in both genders, straightforward comparison of psychopathy scores in males and females is unwarranted. Using a sample of female and male forensic…
Item order and speededness
A common approach to increase test security in higher educational high-stakes testing is the use of different test forms with identical items but different item orders. The effects of such varied item orders are relatively well studied, but findings have generally been mixed. When multiple test forms with different item orders are used, we argue that the moderating role of speededness on item order effects cannot be neglected as missing responses…
Differentiation hypotheses of intelligence
Positive Expectancies and Subjective Well-Being
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…
Nonlinear Indicator-Level Moderation in Latent Variable Models
Linear, nonlinear, and nonparametric moderated latent variable models have been developed to investigate possible interaction effects between a latent variable and an external continuous moderator on the observed indicators in the latent variable model. Most moderation models have focused on moderators that vary across persons but not across the indicators (e.g., moderators like age and socioeconomic status). However, in many applications, the va…
Hidden Markov Item Response Theory Models for Responses and Response Times
Current approaches to model responses and response times to psychometric tests solely focus on between-subject differences in speed and ability. Within subjects, speed and ability are assumed to be constants. Violations of this assumption are generally absorbed in the residual of the model. As a result, within-subject departures from the between-subject speed and ability level remain undetected. These departures may be of interest to the research…
Intelligence Tests
Intelligence tests are instruments used in psychology to measure cognitive ability. The intelligence quotient (IQ) is an index that summarizes the performance of a given individual on all subtests of an intelligence test. The IQ score is taken as an indicator for general intelligence or g . There are various theories about what g is. In addition, much effort has been devoted to establishing group differences in g . However, intelligence test scor…
Psychometrics
A Bivariate Generalized Linear Item Response Theory Modeling Framework to the Analysis of Responses and Response Times
A generalized linear modeling framework to the analysis of responses and response times is outlined. In this framework, referred to as bivariate generalized linear item response theory (B-GLIRT), separate generalized linear measurement models are specified for the responses and the response times that are subsequently linked by cross-relations. The cross-relations can take various forms. Here, we focus on cross-relations with a linear or interact…
The poor availability of psychological research data for reanalysis
The origin of the present comment lies in a failed attempt to obtain, through e-mailed requests, data reported in 141 empirical articles recently published by the American Psychological Association (APA). Our original aim was to reanalyze these data sets to assess the robustness of the research findings to outliers. We never got that far. In June 2005, we contacted the corresponding author of every article that appeared in the last two 2004 issue…
Autoencoders for Amortized Joint Maximum Likelihood Estimation of Confirmatory Item Factor Models
Neural networks like variational autoencoders have been proposed as a statistical tool to fit item factor models to data. Advantages are that high dimensional models can be estimated more efficiently as compared to conventional approaches. In this study, we demonstrate advantages of a specific autoencoder as a tool for amortized joint maximum likelihood estimation of item factor models. Contrary to contemporary joint maximum likelihood estimation…
The poor availability of psychological research data for reanalysis
The origin of the present comment lies in a failed attempt to obtain, through e-mailed requests, data reported in 141 empirical articles recently published by the American Psychological Association (APA). Our original aim was to reanalyze these data sets to assess the robustness of the research findings to outliers. We never got that far. In June 2005, we contacted the corresponding author of every article that appeared in the last two 2004 issue…
The poor availability of psychological research data for reanalysis
The origin of the present comment lies in a failed attempt to obtain, through e-mailed requests, data reported in 141 empirical articles recently published by the American Psychological Association (APA). Our original aim was to reanalyze these data sets to assess the robustness of the research findings to outliers. We never got that far. In June 2005, we contacted the corresponding author of every article that appeared in the last two 2004 issue…
Intelligence Tests
Intelligence tests are instruments used in psychology to measure cognitive ability. The intelligence quotient (IQ) is an index that summarizes the performance of a given individual on all subtests of an intelligence test. The IQ score is taken as an indicator for general intelligence or g . There are various theories about what g is. In addition, much effort has been devoted to establishing group differences in g . However, intelligence test scor…
Psychometrics
A Bivariate Generalized Linear Item Response Theory Modeling Framework to the Analysis of Responses and Response Times
A generalized linear modeling framework to the analysis of responses and response times is outlined. In this framework, referred to as bivariate generalized linear item response theory (B-GLIRT), separate generalized linear measurement models are specified for the responses and the response times that are subsequently linked by cross-relations. The cross-relations can take various forms. Here, we focus on cross-relations with a linear or interact…
Hidden Markov Item Response Theory Models for Responses and Response Times
Current approaches to model responses and response times to psychometric tests solely focus on between-subject differences in speed and ability. Within subjects, speed and ability are assumed to be constants. Violations of this assumption are generally absorbed in the residual of the model. As a result, within-subject departures from the between-subject speed and ability level remain undetected. These departures may be of interest to the research…
Nonlinear Indicator-Level Moderation in Latent Variable Models
Linear, nonlinear, and nonparametric moderated latent variable models have been developed to investigate possible interaction effects between a latent variable and an external continuous moderator on the observed indicators in the latent variable model. Most moderation models have focused on moderators that vary across persons but not across the indicators (e.g., moderators like age and socioeconomic status). However, in many applications, the va…
Positive Expectancies and Subjective Well-Being
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…
Methods to split cognitive task data for estimating split-half reliability
Estimating the reliability of cognitive task datasets is commonly done via split-half methods. We review four methods that differ in how the trials are split into parts: a first-second half split, an odd-even trial split, a permutated split, and a Monte Carlo-based split. Additionally, each splitting method could be combined with stratification by task design. These methods are reviewed in terms of the degree to which they are confounded with fou…
Do We Hold Males and Females to the Same Standard? A Measurement Invariance Study on the Psychopathy Checklist-Revised
Psychopathy in females has been understudied. Extant data on gender comparisons using the predominant measure of assessment in clinical practice, the Psychopathy Checklist Revised (PCL-R), points to a potential lack of measurement invariance (MI). If indeed the instrument does not perform equally (well) in both genders, straightforward comparison of psychopathy scores in males and females is unwarranted. Using a sample of female and male forensic…
Item order and speededness
A common approach to increase test security in higher educational high-stakes testing is the use of different test forms with identical items but different item orders. The effects of such varied item orders are relatively well studied, but findings have generally been mixed. When multiple test forms with different item orders are used, we argue that the moderating role of speededness on item order effects cannot be neglected as missing responses…
Differentiation hypotheses of intelligence
From everyday life to measurable problematic smartphone use
Multiple Imputation of Missing Data in Moderated Factor Analysis
In moderated factor analysis, the parameters of the traditional common factor model are a function of an external continuous moderator variable. Handling missing values on the observed indicator variables of the common factors is straightforward as the parameters can be estimated using full information maximum likelihood. However, for cases with missing values on the moderator variable the likelihood function cannot be evaluated. Consequently, in…
Autoencoders for Amortized Joint Maximum Likelihood Estimation of Confirmatory Item Factor Models
Neural networks like variational autoencoders have been proposed as a statistical tool to fit item factor models to data. Advantages are that high dimensional models can be estimated more efficiently as compared to conventional approaches. In this study, we demonstrate advantages of a specific autoencoder as a tool for amortized joint maximum likelihood estimation of item factor models. Contrary to contemporary joint maximum likelihood estimation…
Psychology (10 works) · Statistics (7 works) · Mathematics (6 works) · Computer Science (5 works) · Econometrics (5 works) · Psychometric Methodologies and Testing (5 works) · Clinical Psychology (4 works) · Cognitive Abilities and Testing (4 works) · Cognitive psychology (4 works) · Developmental psychology (4 works)