Herbert Hoijtink
Biographic Data
| ID | 297017 |
|---|---|
| NAME | Herbert Hoijtink |
| GIVEN NAMES | Herbert |
| FAMILY NAME | Hoijtink |
| SIGNATURE | HOIJTINK H |
| AFFILIATIONS | Utrecht University |
| ORCID | 0000-0001-8509-1973 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 141 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1996 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 4 |
Figuring out what they feel: Exposure to eudaimonic narrative fiction is related to mentalizing ability
Being exposed to narrative fiction may provide us with practice in dealing with social interactions and thereby enhance our ability to engage in mentalizing (understanding other people’s mental states). The current study uses a confirmatory Bayesian approach to assess the relationship between mentalizing and both the self-reported frequency of exposure to narrative fiction across media (books, films, and TV series) and the particular types of fic…
Bayesian One-Sided Variable Selection
This paper presents a novel Bayesian variable selection approach that accounts for the sign of the regression coefficients based on multivariate one-sided tests. We propose a truncated g prior to specify a prior distribution of coefficients with anticipated signs in a given model. Informative priors for the direction of the effects can be incorporated into prior model probabilities. The best subset of variables is selected by comparing the poster…
Teacher’s Corner: Evaluating Informative Hypotheses Using the Bayes Factor in Structural Equation Models
This Teacher’s Corner paper introduces Bayesian evaluation of informative hypotheses for structural equation models, using the free open-source R packages bain, for Bayesian informative hypothesis testing, and lavaan, a widely used SEM package. The introduction provides a brief non-technical explanation of informative hypotheses, the statistical underpinnings of Bayesian hypothesis evaluation, and the bain algorithm. Three tutorial examples demon…
Parental Age and Offspring Childhood Mental Health: A Multi-Cohort, Population-Based Investigation
To examine the contributions of maternal and paternal age on offspring externalizing and internalizing problems, this study analyzed problem behaviors at age 10–12 years from four Dutch population-based cohorts (N = 32,892) by a multiple informant design. Bayesian evidence synthesis was used to combine results across cohorts with 50% of the data analyzed for discovery and 50% for confirmation. There was evidence of a robust negative linear relati…
Explained Variance and Intraclass Correlation in a Two-Level AR(1) Model
The total variance of a first-order autoregressive AR(1) time series is well known in time series literature. However, despite the increased use and interest in two-level AR(1) models, an equation for the total variance of these models does not exist. This paper presents an approximation of this total variance. It will be used to compute the unexplained and explained variance at each level of the model, the proportion of explained variance, and t…
Redefine statistical significance
Why Bayesian Psychologists Should Change the Way They Use the Bayes Factor
The discussion following Bem's ( 2011 ) psi research highlights that applications of the Bayes factor in psychological research are not without problems. The first problem is the omission to translate subjective prior knowledge into subjective prior distributions. In the words of Savage ( 1961 ): "they make the Bayesian omelet without breaking the Bayesian egg." The second problem occurs if the Bayesian egg is not broken: the omission to choose d…
Bayes Factors Have Frequency Properties—This Should Not Be Ignored: A Rejoinder to Morey, Wagenmakers, and Rouder
Hoijtink, van Kooten, and Hulsker ( 2016 ) outline a research agenda for Bayesian psychologists: evaluate and use the frequency properties of Bayes factors. Morey, Wagenmakers, and Rouder ( 2016 ) respond that Bayes factors calibrated using frequency properties should not be used. This paper contains the response of Hoijtink, van Kooten, and Hulsker to the criticism of Morey, Wagenmakers, and Rouder ( 2016 )
Expert Elicitation of Study Weights for Bayesian Analysis and Meta-Analysis
Meta-analysis and Bayesian informative prior distributions are used for updating knowledge about treatment effects with new data. When the available data come from slightly different study populations, or from slightly different trials as compared with the new data, the researcher has to specify study weights to control the influence of the historical data on the current data. This research evaluates whether an internet Delphi technique is useful…
Combining Statistical Evidence From Several Studies: A Method Using Bayesian Updating and an Example From Research on Trust Problems in Social and Economic Exchange
The effect of an independent variable on a dependent variable is often evaluated with hypothesis testing. Sometimes, multiple studies are available that test the same hypothesis. In such studies, the dependent variable and the main predictors might differ, while they do measure the same theoretical concepts. In this article, we present a Bayesian updating method that can be used to quantify the joint evidence in multiple studies regarding the eff…
Evaluating expectations about negative emotional states of aggressive boys using Bayesian model selection
Researchers often have expectations about the research outcomes in regard to inequality constraints between, e.g., group means. Consider the example of researchers who investigated the effects of inducing a negative emotional state in aggressive boys. It was expected that highly aggressive boys would, on average, score higher on aggressive responses toward other peers than moderately aggressive boys, who would in turn score higher than nonaggress…
An Item Response Theory Analysis of a Measure of Complicated Grief
Item response theory modeling was applied to the data of 1,321 bereaved individuals who completed the Dutch version of the Inventory of Complicated Grief--Revised (ICG-R)--a 29-item self-report measure of complicated grief (CG). The authors aimed to examine the information that each of the ICG-R items contributes to the measurement of overall CG severity and to detect possible differences between subgroups of mourners in the way CG items are endo…
Reliability and Validity of the Dutch Version of the Inventory of Traumatic Grief (Itg)
The psychometric properties of the Dutch version of the Inventory of Traumatic Grief (ITG) were investigated in two studies with bereaved adults who had suffered the loss of a first-degree relative. In Study 1, exploratory factor analysis indicated that the items of the ITG clustered together into one underlying factor. In addition, the internal consistency of the ITG and its short-term temporal stability were found to be high. In Study 2 it was …
Confirmatory Latent Class Analysis: Model Selection Using Bayes Factors and (Pseudo) Likelihood Ratio Statistics
Inequality constraints among class specific probabilities can be used to assign a specific meaning to the classes in a latent class model. Different models arise if different sets of constraints are used. In this paper, model selection using Bayes factors, and, (pseudo) likelihood ratio statistics evaluated using posterior predictive p-values, will be discussed. It will be illustrated that these Bayesian selection criteria do not suffer from the …
Cultural differences in functional status measurement: Analyses of person fit according to the Rasch model
Intraindividual variability in infant behavior
Longitudinal observational data of infant crying, fretting/fussing, and smiling and the time spent in physical contact with the mother were used in a study on behavioral variability. The infants were followed weekly for a 15-month period. Evidence was found of an important intraindividual variability in the studied behaviors, specifically between the ages of 0 and 5 months, 5 and 10 months, but not between 10 and 15 months. Results are discussed …
Psychometric Analysis of an Advance Directive
OBJECTIVES: Reliability and validity are as necessary for predrafted advance directive forms as they are for all clinical assessment instruments. Performance of predrafted advance directive forms with both lay persons and clinicians is relevant. Evidence relating to test- retest reliability, content validity, and criterion-related validity of one form, the Medical Directive, has been documented for outpatients. The authors investigated construct …
Redefine statistical significance
Reliability and Validity of the Dutch Version of the Inventory of Traumatic Grief (Itg)
The psychometric properties of the Dutch version of the Inventory of Traumatic Grief (ITG) were investigated in two studies with bereaved adults who had suffered the loss of a first-degree relative. In Study 1, exploratory factor analysis indicated that the items of the ITG clustered together into one underlying factor. In addition, the internal consistency of the ITG and its short-term temporal stability were found to be high. In Study 2 it was …
Evaluating expectations about negative emotional states of aggressive boys using Bayesian model selection
Researchers often have expectations about the research outcomes in regard to inequality constraints between, e.g., group means. Consider the example of researchers who investigated the effects of inducing a negative emotional state in aggressive boys. It was expected that highly aggressive boys would, on average, score higher on aggressive responses toward other peers than moderately aggressive boys, who would in turn score higher than nonaggress…
An Item Response Theory Analysis of a Measure of Complicated Grief
Item response theory modeling was applied to the data of 1,321 bereaved individuals who completed the Dutch version of the Inventory of Complicated Grief--Revised (ICG-R)--a 29-item self-report measure of complicated grief (CG). The authors aimed to examine the information that each of the ICG-R items contributes to the measurement of overall CG severity and to detect possible differences between subgroups of mourners in the way CG items are endo…
Intraindividual variability in infant behavior
Longitudinal observational data of infant crying, fretting/fussing, and smiling and the time spent in physical contact with the mother were used in a study on behavioral variability. The infants were followed weekly for a 15-month period. Evidence was found of an important intraindividual variability in the studied behaviors, specifically between the ages of 0 and 5 months, 5 and 10 months, but not between 10 and 15 months. Results are discussed …
Combining Statistical Evidence From Several Studies: A Method Using Bayesian Updating and an Example From Research on Trust Problems in Social and Economic Exchange
The effect of an independent variable on a dependent variable is often evaluated with hypothesis testing. Sometimes, multiple studies are available that test the same hypothesis. In such studies, the dependent variable and the main predictors might differ, while they do measure the same theoretical concepts. In this article, we present a Bayesian updating method that can be used to quantify the joint evidence in multiple studies regarding the eff…
Psychometric Analysis of an Advance Directive
OBJECTIVES: Reliability and validity are as necessary for predrafted advance directive forms as they are for all clinical assessment instruments. Performance of predrafted advance directive forms with both lay persons and clinicians is relevant. Evidence relating to test- retest reliability, content validity, and criterion-related validity of one form, the Medical Directive, has been documented for outpatients. The authors investigated construct …
Intraindividual variability in infant behavior
Longitudinal observational data of infant crying, fretting/fussing, and smiling and the time spent in physical contact with the mother were used in a study on behavioral variability. The infants were followed weekly for a 15-month period. Evidence was found of an important intraindividual variability in the studied behaviors, specifically between the ages of 0 and 5 months, 5 and 10 months, but not between 10 and 15 months. Results are discussed …
Cultural differences in functional status measurement: Analyses of person fit according to the Rasch model
Confirmatory Latent Class Analysis: Model Selection Using Bayes Factors and (Pseudo) Likelihood Ratio Statistics
Inequality constraints among class specific probabilities can be used to assign a specific meaning to the classes in a latent class model. Different models arise if different sets of constraints are used. In this paper, model selection using Bayes factors, and, (pseudo) likelihood ratio statistics evaluated using posterior predictive p-values, will be discussed. It will be illustrated that these Bayesian selection criteria do not suffer from the …
Reliability and Validity of the Dutch Version of the Inventory of Traumatic Grief (Itg)
The psychometric properties of the Dutch version of the Inventory of Traumatic Grief (ITG) were investigated in two studies with bereaved adults who had suffered the loss of a first-degree relative. In Study 1, exploratory factor analysis indicated that the items of the ITG clustered together into one underlying factor. In addition, the internal consistency of the ITG and its short-term temporal stability were found to be high. In Study 2 it was …
An Item Response Theory Analysis of a Measure of Complicated Grief
Item response theory modeling was applied to the data of 1,321 bereaved individuals who completed the Dutch version of the Inventory of Complicated Grief--Revised (ICG-R)--a 29-item self-report measure of complicated grief (CG). The authors aimed to examine the information that each of the ICG-R items contributes to the measurement of overall CG severity and to detect possible differences between subgroups of mourners in the way CG items are endo…
Evaluating expectations about negative emotional states of aggressive boys using Bayesian model selection
Researchers often have expectations about the research outcomes in regard to inequality constraints between, e.g., group means. Consider the example of researchers who investigated the effects of inducing a negative emotional state in aggressive boys. It was expected that highly aggressive boys would, on average, score higher on aggressive responses toward other peers than moderately aggressive boys, who would in turn score higher than nonaggress…
Combining Statistical Evidence From Several Studies: A Method Using Bayesian Updating and an Example From Research on Trust Problems in Social and Economic Exchange
The effect of an independent variable on a dependent variable is often evaluated with hypothesis testing. Sometimes, multiple studies are available that test the same hypothesis. In such studies, the dependent variable and the main predictors might differ, while they do measure the same theoretical concepts. In this article, we present a Bayesian updating method that can be used to quantify the joint evidence in multiple studies regarding the eff…
Expert Elicitation of Study Weights for Bayesian Analysis and Meta-Analysis
Meta-analysis and Bayesian informative prior distributions are used for updating knowledge about treatment effects with new data. When the available data come from slightly different study populations, or from slightly different trials as compared with the new data, the researcher has to specify study weights to control the influence of the historical data on the current data. This research evaluates whether an internet Delphi technique is useful…
Why Bayesian Psychologists Should Change the Way They Use the Bayes Factor
The discussion following Bem's ( 2011 ) psi research highlights that applications of the Bayes factor in psychological research are not without problems. The first problem is the omission to translate subjective prior knowledge into subjective prior distributions. In the words of Savage ( 1961 ): "they make the Bayesian omelet without breaking the Bayesian egg." The second problem occurs if the Bayesian egg is not broken: the omission to choose d…
Bayes Factors Have Frequency Properties—This Should Not Be Ignored: A Rejoinder to Morey, Wagenmakers, and Rouder
Hoijtink, van Kooten, and Hulsker ( 2016 ) outline a research agenda for Bayesian psychologists: evaluate and use the frequency properties of Bayes factors. Morey, Wagenmakers, and Rouder ( 2016 ) respond that Bayes factors calibrated using frequency properties should not be used. This paper contains the response of Hoijtink, van Kooten, and Hulsker to the criticism of Morey, Wagenmakers, and Rouder ( 2016 )
Explained Variance and Intraclass Correlation in a Two-Level AR(1) Model
The total variance of a first-order autoregressive AR(1) time series is well known in time series literature. However, despite the increased use and interest in two-level AR(1) models, an equation for the total variance of these models does not exist. This paper presents an approximation of this total variance. It will be used to compute the unexplained and explained variance at each level of the model, the proportion of explained variance, and t…
Redefine statistical significance
Parental Age and Offspring Childhood Mental Health: A Multi-Cohort, Population-Based Investigation
To examine the contributions of maternal and paternal age on offspring externalizing and internalizing problems, this study analyzed problem behaviors at age 10–12 years from four Dutch population-based cohorts (N = 32,892) by a multiple informant design. Bayesian evidence synthesis was used to combine results across cohorts with 50% of the data analyzed for discovery and 50% for confirmation. There was evidence of a robust negative linear relati…
Teacher’s Corner: Evaluating Informative Hypotheses Using the Bayes Factor in Structural Equation Models
This Teacher’s Corner paper introduces Bayesian evaluation of informative hypotheses for structural equation models, using the free open-source R packages bain, for Bayesian informative hypothesis testing, and lavaan, a widely used SEM package. The introduction provides a brief non-technical explanation of informative hypotheses, the statistical underpinnings of Bayesian hypothesis evaluation, and the bain algorithm. Three tutorial examples demon…
Figuring out what they feel: Exposure to eudaimonic narrative fiction is related to mentalizing ability
Being exposed to narrative fiction may provide us with practice in dealing with social interactions and thereby enhance our ability to engage in mentalizing (understanding other people’s mental states). The current study uses a confirmatory Bayesian approach to assess the relationship between mentalizing and both the self-reported frequency of exposure to narrative fiction across media (books, films, and TV series) and the particular types of fic…
Bayesian One-Sided Variable Selection
This paper presents a novel Bayesian variable selection approach that accounts for the sign of the regression coefficients based on multivariate one-sided tests. We propose a truncated g prior to specify a prior distribution of coefficients with anticipated signs in a given model. Informative priors for the direction of the effects can be incorporated into prior model probabilities. The best subset of variables is selected by comparing the poster…
Psychology (12 works) · Computer Science (9 works) · Mathematics (9 works) · Bayesian probability (8 works) · Statistics (8 works) · Artificial Intelligence (6 works) · Econometrics (6 works) · Developmental psychology (5 works) · Medicine (5 works) · Social Psychology (5 works)