Wilco H M Emons
Biographic Data
| ID | 4234680 |
|---|---|
| NAME | Wilco H M Emons |
| GIVEN NAMES | Wilco H M |
| FAMILY NAME | Emons |
| SIGNATURE | EMONS W H M |
| AFFILIATIONS | Tilburg University |
| ORCID | 0000-0001-7576-0037 |
| VERIFIED | Yes |
| TOTAL WORKS | 19 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 18 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Bias and precision in true‐score estimation
We discuss two approaches to estimating the true score from classical test theory, each with a corresponding measure of uncertainty due to measurement error: the classical method with the standard error of measurement (SEM) and Kelley's method with the standard error of estimation (SEE). For both approaches, we examined the bias and sampling variability of the true‐score, SEM and SEE estimators, as these properties were largely unknown. For each …
Exploring the multimedia effect in testing: The role of coherence and item-level analysis
Educational tests often combine text and images in items. Research shows that including images in test items can influence response accuracy, termed the Multimedia Effect in Testing. This effect suggests that using pictures in tests can enhance student performance and reduce the perception of item difficulty. As such, the Multimedia Effect in Testing could influence test validity. However, research in this area has produced varied and conflicting…
Essays on Contemporary Psychometrics
This book 'Essays on Contemporary Psychometrics' provides an overview of contemporary psychometrics, the science devoted to the advancement ...
Assessing the temporal stability of psychological constructs: An illustration of Type D personality, anxiety and depression
Various methods exist to assess the temporal stability of psychological constructs. In this paper we discuss common methods based on a review of the personality traits negative affectivity and social inhibition. Most methods ignore the non-normal distributions and measurement error in the questionnaire item scores. We illustrate how to handle these issues using three longitudinal latent variable models. We further highlight the importance of test…
Essays on Contemporary Psychometrics
Latent Logistic Interaction Modeling: A Simulation and Empirical Illustration of Type D Personality
This study focuses on three popular methods to model interactions between two constructs containing measurement error in predicting an observed binary outcome: logistic regression using (1) observed scores, (2) factor scores, and (3) Structural Equation Modeling (SEM). It is still unclear how they compare with respect to bias and precision in the estimated interaction when item scores underlying the interaction constructs are skewed and ordinal. …
A cross-cultural comparison of non-cognitive outputs towards science between Turkish and Dutch students taking into account detected person misfit
Self-esteem and satisfaction with social relationships across time
14,741). When using CT-SEM, we found a bidirectional positive relation between self-esteem and satisfaction with social relationships, with larger effects over longer intervals. When using RI-CT-SEM, we found the largest effects of self-esteem and satisfaction with social relationships across intervals of 1 year, with smaller effect sizes at both shorter and longer intervals. In addition, the effect of fluctuations in people's satisfaction with s…
Modeling Interactions Between Latent Variables in Research on Type D Personality: A Monte Carlo Simulation and Clinical Study of Depression and Anxiety
Several approaches exist to model interactions between latent variables. However, it is unclear how these perform when item scores are skewed and ordinal. Research on Type D personality serves as a good case study for that matter. In Study 1, we fitted a multivariate interaction model to predict depression and anxiety with Type D personality, operationalized as an interaction between its two subcomponents negative affectivity (NA) and social inhi…
The Assessment and Impact of Careless Responding in Routine Outcome Monitoring within Mental Health Care
index
Prevalence of anxiety in patients with an implantable cardioverter defibrillator: Measurement equivalence of the Hads-A and the STAI-S
STAI-S and HADS-A reflect a common anxiety attribute, but using the recommended cutoff scores on the respective measures show very different prevalence rates and would classify patients as anxious with the STAI-S who would not be identified as such with the HADS-A. Clinicians and researchers should be aware of the inequivalence when using these measures for screening and determining the prevalence of probable clinical anxiety levels
Psychometric Properties of the Bermond–Vorst Alexithymia Questionnaire (BVAQ) in the General Population and a Clinical Population
The BVAQ is a reliable alternative measure for measuring alexithymia
Alexithymia Has No Clinically Relevant Association With Outcome of Multimodal Treatment Tailored to Needs of Patients Suffering From Somatic Symptom and Related Disorders. A Clinical Prospective Study
Introduction: Alexithymia may moderate the effectiveness of treatment and may predict impaired general functioning of patients suffering from somatic symptom and related disorders (SSRD). Aim: We compared alexithymia levels in a clinical prospective study with 234 consecutive patients suffering from SSRD from the Centre of Excellence for Body, Mind, and Health, Tilburg using the Bermond-Vorst Alexithymia Questionnaire, with general population nor…
Longitudinal measurement invariance of the Dutch Outcome Questionnaire-45 in a clinical sample
Even though for two items the assumption of invariance was violated, results suggest that the effects of these violations on practical change assessment using the OQ-45 were negligible
Separating models, ideas, and data to avoid a paradox: Rejoinder to Humphry
This article is a rejoinder to Humphry’s (2013) comment on Sijtsma (2012). Sijtsma argued that the Rasch paradox does not exist but Humphry replies that the Rasch paradox can occur provided the measurement procedure is precise enough. The rejoinder argues that the debates about the Rasch paradox mingle properties of formal psychometric models, ideas about what people do when they respond to the items in a test, and the kind of data they produce. …
Explanatory, Multilevel Person-Fit Analysis of Response Consistency on the Spielberger State-Trait Anxiety Inventory
Self-report measures are vulnerable to concentration and motivation problems, leading to responses that may be inconsistent with the respondent's latent trait value. We investigated response consistency in a sample (N = 860) of cardiac patients with an implantable cardioverter defibrillator and their partners who completed the Spielberger State-Trait Anxiety Inventory on five measurement occasions. For each occasion and for both the state and tra…
On the Usefulness of a Multilevel Logistic Regression Approach to Person-Fit Analysis
The logistic person response function (PRF) models the probability of a correct response as a function of the item locations. Reise (2000) proposed to use the slope parameter of the logistic PRF as a person-fit measure. He reformulated the logistic PRF model as a multilevel logistic regression model and estimated the PRF parameters from this multilevel framework. An advantage of the multilevel framework is that it allows relating person fit to ex…
Nonparametric IRT analysis of Quality-of-Life Scales and its application to the World Health Organization Quality-of-Life Scale (WHOQOL-Bref)
The nonparametric monotone homogeneity model is highly suited for data analysis in a health-related quality-of-life context, and the parametric graded response model may add interesting features to measurement provided the model fits the data well
Testing Hypotheses About the Person-Response Function in Person-Fit Analysis
The person-response function (PRF) relates the probability of an individual's correct answer to the difficulty of items measuring the same latent trait. Local deviations of the observed PRF from the expected PRF indicate person misfit. We discuss two new approaches to investigate person fit. The first approach uses kernel smoothing to estimate continuous PRF estimates. Graphical displays of PRFs were used to localize and diagnose misfit. The seco…
Self-esteem and satisfaction with social relationships across time
14,741). When using CT-SEM, we found a bidirectional positive relation between self-esteem and satisfaction with social relationships, with larger effects over longer intervals. When using RI-CT-SEM, we found the largest effects of self-esteem and satisfaction with social relationships across intervals of 1 year, with smaller effect sizes at both shorter and longer intervals. In addition, the effect of fluctuations in people's satisfaction with s…
Testing Hypotheses About the Person-Response Function in Person-Fit Analysis
The person-response function (PRF) relates the probability of an individual's correct answer to the difficulty of items measuring the same latent trait. Local deviations of the observed PRF from the expected PRF indicate person misfit. We discuss two new approaches to investigate person fit. The first approach uses kernel smoothing to estimate continuous PRF estimates. Graphical displays of PRFs were used to localize and diagnose misfit. The seco…
Nonparametric IRT analysis of Quality-of-Life Scales and its application to the World Health Organization Quality-of-Life Scale (WHOQOL-Bref)
The nonparametric monotone homogeneity model is highly suited for data analysis in a health-related quality-of-life context, and the parametric graded response model may add interesting features to measurement provided the model fits the data well
On the Usefulness of a Multilevel Logistic Regression Approach to Person-Fit Analysis
The logistic person response function (PRF) models the probability of a correct response as a function of the item locations. Reise (2000) proposed to use the slope parameter of the logistic PRF as a person-fit measure. He reformulated the logistic PRF model as a multilevel logistic regression model and estimated the PRF parameters from this multilevel framework. An advantage of the multilevel framework is that it allows relating person fit to ex…
Separating models, ideas, and data to avoid a paradox: Rejoinder to Humphry
This article is a rejoinder to Humphry’s (2013) comment on Sijtsma (2012). Sijtsma argued that the Rasch paradox does not exist but Humphry replies that the Rasch paradox can occur provided the measurement procedure is precise enough. The rejoinder argues that the debates about the Rasch paradox mingle properties of formal psychometric models, ideas about what people do when they respond to the items in a test, and the kind of data they produce. …
Explanatory, Multilevel Person-Fit Analysis of Response Consistency on the Spielberger State-Trait Anxiety Inventory
Self-report measures are vulnerable to concentration and motivation problems, leading to responses that may be inconsistent with the respondent's latent trait value. We investigated response consistency in a sample (N = 860) of cardiac patients with an implantable cardioverter defibrillator and their partners who completed the Spielberger State-Trait Anxiety Inventory on five measurement occasions. For each occasion and for both the state and tra…
Longitudinal measurement invariance of the Dutch Outcome Questionnaire-45 in a clinical sample
Even though for two items the assumption of invariance was violated, results suggest that the effects of these violations on practical change assessment using the OQ-45 were negligible
Psychometric Properties of the Bermond–Vorst Alexithymia Questionnaire (BVAQ) in the General Population and a Clinical Population
The BVAQ is a reliable alternative measure for measuring alexithymia
Alexithymia Has No Clinically Relevant Association With Outcome of Multimodal Treatment Tailored to Needs of Patients Suffering From Somatic Symptom and Related Disorders. A Clinical Prospective Study
Introduction: Alexithymia may moderate the effectiveness of treatment and may predict impaired general functioning of patients suffering from somatic symptom and related disorders (SSRD). Aim: We compared alexithymia levels in a clinical prospective study with 234 consecutive patients suffering from SSRD from the Centre of Excellence for Body, Mind, and Health, Tilburg using the Bermond-Vorst Alexithymia Questionnaire, with general population nor…
Modeling Interactions Between Latent Variables in Research on Type D Personality: A Monte Carlo Simulation and Clinical Study of Depression and Anxiety
Several approaches exist to model interactions between latent variables. However, it is unclear how these perform when item scores are skewed and ordinal. Research on Type D personality serves as a good case study for that matter. In Study 1, we fitted a multivariate interaction model to predict depression and anxiety with Type D personality, operationalized as an interaction between its two subcomponents negative affectivity (NA) and social inhi…
The Assessment and Impact of Careless Responding in Routine Outcome Monitoring within Mental Health Care
index
Prevalence of anxiety in patients with an implantable cardioverter defibrillator: Measurement equivalence of the Hads-A and the STAI-S
STAI-S and HADS-A reflect a common anxiety attribute, but using the recommended cutoff scores on the respective measures show very different prevalence rates and would classify patients as anxious with the STAI-S who would not be identified as such with the HADS-A. Clinicians and researchers should be aware of the inequivalence when using these measures for screening and determining the prevalence of probable clinical anxiety levels
Latent Logistic Interaction Modeling: A Simulation and Empirical Illustration of Type D Personality
This study focuses on three popular methods to model interactions between two constructs containing measurement error in predicting an observed binary outcome: logistic regression using (1) observed scores, (2) factor scores, and (3) Structural Equation Modeling (SEM). It is still unclear how they compare with respect to bias and precision in the estimated interaction when item scores underlying the interaction constructs are skewed and ordinal. …
A cross-cultural comparison of non-cognitive outputs towards science between Turkish and Dutch students taking into account detected person misfit
Self-esteem and satisfaction with social relationships across time
14,741). When using CT-SEM, we found a bidirectional positive relation between self-esteem and satisfaction with social relationships, with larger effects over longer intervals. When using RI-CT-SEM, we found the largest effects of self-esteem and satisfaction with social relationships across intervals of 1 year, with smaller effect sizes at both shorter and longer intervals. In addition, the effect of fluctuations in people's satisfaction with s…
Assessing the temporal stability of psychological constructs: An illustration of Type D personality, anxiety and depression
Various methods exist to assess the temporal stability of psychological constructs. In this paper we discuss common methods based on a review of the personality traits negative affectivity and social inhibition. Most methods ignore the non-normal distributions and measurement error in the questionnaire item scores. We illustrate how to handle these issues using three longitudinal latent variable models. We further highlight the importance of test…
Essays on Contemporary Psychometrics
Essays on Contemporary Psychometrics
This book 'Essays on Contemporary Psychometrics' provides an overview of contemporary psychometrics, the science devoted to the advancement ...
Exploring the multimedia effect in testing: The role of coherence and item-level analysis
Educational tests often combine text and images in items. Research shows that including images in test items can influence response accuracy, termed the Multimedia Effect in Testing. This effect suggests that using pictures in tests can enhance student performance and reduce the perception of item difficulty. As such, the Multimedia Effect in Testing could influence test validity. However, research in this area has produced varied and conflicting…
Bias and precision in true‐score estimation
We discuss two approaches to estimating the true score from classical test theory, each with a corresponding measure of uncertainty due to measurement error: the classical method with the standard error of measurement (SEM) and Kelley's method with the standard error of estimation (SEE). For both approaches, we examined the bias and sampling variability of the true‐score, SEM and SEE estimators, as these properties were largely unknown. For each …
Psychology (13 works) · Statistics (10 works) · Mathematics (8 works) · Mental Health Research Topics (8 works) · Clinical Psychology (7 works) · Psychiatry (7 works) · Psychometric Methodologies and Testing (7 works) · Anxiety (6 works) · Psychometrics (6 works) · Econometrics (5 works)