A well-known problem of null hypothesis significance testing is that it cannot be used to find support for the null hypothesis. A common solution for this is to replace the exact …
Person-fit analysis is an important field aimed at establishing the validity (or lack thereof) of the response pattern provided by each respondent of a test or questionnaire. This …
Functional Somatic Symptoms (FSS) are physical symptoms that cannot be attributed to underlying pathology. Their severity is often measured with sum-scores on questionnaires; …
The aim of this study is to investigate whether there is a potential mismatch between the usability of a statistical tool and psychology researchers' expectation of it. Bayesian …
The trait-state-occasion model (TSO) is a popular model within the latent state-trait theory (LST). The TSO allows distinguishing the trait and the state components of the …
In 2019 we wrote a paper (Tendeiro & Kiers, 2019) in Psychological Methods over null hypothesis Bayesian testing and its working horse, the Bayes factor. Recently, van Ravenzwaaij …
Traditionally, researchers have used time series and multilevel models to analyze intensive longitudinal data. However, these models do not directly address traits and states …
Robust scientific evidence shows that human performance predictions are more valid when information is combined mechanically (with a decision rule) rather than holistically (in …
The practice of sequentially testing a null hypothesis as data are collected until the null hypothesis is rejected is known as optional stopping. It is well-known that optional …
Purpose: In Mokken scaling, the Crit index was proposed and is sometimes used as evidence (or lack thereof) of violations of some common model assumptions. The main goal of our …
We argue that statistical practice in the social and behavioural sciences benefits from transparency, a fair acknowledgement of uncertainty and openness to alternative …
More than 40 questionnaires have been developed to assess functional somatic symptoms (FSS), but there are several methodological issues regarding the measurement of FSS. We aimed …
Mokken scale analysis is a popular method to evaluate the psychometric quality of clinical and personality questionnaires and their individual items. Although many empirical …
Null hypothesis significance testing (NHST) has been under scrutiny for decades. The literature shows overwhelming evidence of a large range of problems affecting NHST. One of the …
This study investigated the relationship between guilt and well-being of bereaved persons, and explored potential differences in the associations between guilt-complicated grief …
In this study, we examined the consequences of ignoring violations of assumptions underlying the use of sum scores in assessing attention problems (AP) and if psychometrically …
A longstanding concern about admissions to higher education is the underprediction of female academic performance by admission test scores. One explanation for these findings is …
In clinical trials, study designs may focus on assessment of superiority, equivalence, or non-inferiority, of a new medicine or treatment as compared to a control. Typically, …
In this article, the newly created GGUM R package is presented. This package finally brings the generalized graded unfolding model (GGUM) to the front stage for practitioners and …
Sample size in Mokken scales is mostly studied on simulated data, reflected in the lack of consideration of sample size in most Mokken scaling studies. Recently, [Straat, J. H., …
We investigated the validity of curriculum-sampling tests for admission to higher education in two studies. Curriculum-sampling tests mimic representative parts of an academic …
A corrigendum on *The Use of Subscores in Higher Education: When Is This Useful?*, by Meijer, R. R., Boevé, A. J., Tendeiro, J. N., Bosker, R. J., and Albers, C. J. (2017). Front. …
The Four-Dimensional Symptom Questionnaire (4DSQ) (Huisarts Wetenschap 39: 538–47, 1996) is a self-report questionnaire developed in the Netherlands to distinguish non-specific …
In this article, the *practical* consequences of violations of unidimensionality on selection decisions in the framework of unidimensional item response theory (IRT) models are …
Assessment in higher education is challenging because teachers face more students, with less contact time as compared to primary and secondary education. Therefore, teachers and …
Applicant perceptions of methods used in admission procedures to higher education were investigated using organizational justice theory. Applicants to a psychology study program …
Non-cognitive constructs such as personality traits and behavioral tendencies show predictive validity for academic performance and incremental validity over and above cognitive …
Although person-fit analysis has a long-standing tradition within item response theory, it has been applied in combination with dominance response models almost exclusively. In …
Dual processing models of psychopathology emphasize the relevance of differentiating between deliberative self-evaluative processes (explicit self-esteem; ESE) and …
Checking the validity of test scores is important in both educational and psychological measurement. Person-fit analysis provides several statistics that help practitioners …
We studied the validity of two methods for predicting academic performance and student- program fit that were proximal to important study criteria. Applicants to an undergraduate …
In high-stakes testing, it is important to check the validity of individual test scores. Although a test may, in general, result in valid test scores for most test takers, for some …
This study assesses the impact of internal and external factors on very young EFL learners in an instructional setting. 71 child English learners in China (onset age: 2;0 - 5;6) …
High data quality is an important prerequisite for sound empirical research. Meade and Craig (2012) and Huang, Curran, Keeney, Poposki, and DeShon (2012) discussed methods to …
Although there are many studies devoted to person-fit statistics to detect inconsistent item score patterns, most studies are difficult to understand for nonspecialists. The aim of …
The validity of scores derived from an educational or psychological testing situation determines the accuracy and appropriateness of inferences made about an examinee based on …
A popular method to assess measurement invariance of a particular item is based on likelihood ratio tests with all other items as anchor items. The results of this method are often …
In recent guidelines for fair educational testing it is advised to check the validity of individual test scores through the use of person-fit statistics. For practitioners it is …
Three-way arrays (or tensors) can be regarded as extensions of the traditional two-way data matrices that have a third dimension. Studying algebraic properties of arrays is …
To classify an item score pattern as not fitting a nonparametric item response theory (NIRT) model, the probability of exceedance (PE) of an observed response vector **x** can be …
Unproctored Internet Testing (UIT) is becoming more popular in personnel recruitment and selection. A drawback of UIT is that cheating is easy and, therefore, a proctored test is …
We extend a recent didactic by Magis, Raîche, and Béland on the use of the $l_z$ and $l_z^*$ person-fit statistics. We discuss a number of possibly confusing details and show that …
This article extends the work by Armstrong and Shi on CUmulative SUM (CUSUM) person-fit methodology. The authors present new theoretical considerations concerning the use of CUSUM …
The use of Candecomp to fit scalar products in the context of Indscal is based on the assumption that, due to the symmetry of the data matrices involved, two components matrices …
In this paper we provide the means to analyse the second-order differential structure of optimization functions concerning CANDECOMP/PARAFAC and INDSCAL. Closed-form formulas are …
Harshman (UCLA Working Papers in Phonetics 1972; 22: 111-117) has given a proof of uniqueness (identification) of Parafac solutions, when two of the three component matrices are of …
Tucker three-way PCA and Candecomp/Parafac are two well-known methods of generalizing principal component analysis to three way data. Candecomp/Parafac yields component matrices …