Measurement invariance (MI) is an essential part of validity evidence concerned with ensuring that tests function similarly across groups, contexts, and time. Most evaluations of MI involve multigroup confirmatory factor analyses (MGCFA) that assume simple structure. However, recent research has shown that constraining non-target indicators to…

Frequency of behaviors or amounts of variables of interest are essential topics in many surveys. The use of heuristics might cause rounded answers, resulting in the increased occurrence of end-digits (called heaping or digit-preference). For web surveys (or CASI), we propose using a conditional prompt as input validation if digits indicating…

The consistency of psychometric properties across waves of data collection provides valuable evidence that scores can be interpreted consistently. Evidence supporting the consistency of psychometric properties can come from using a longitudinal extension of item factor analysis to account for the lack of independence of observation when evaluating…

This note is concerned with the benefits that can result from the use of the maximal reliability and optimal linear combination concepts in educational and psychological research. Within the widely used framework of unidimensional multi-component measuring instruments, it is demonstrated that the linear combination of their components that…

The p-factor is a construct that is thought to explain and maybe even cause variation in all forms of psychopathology. Since its 'discovery' in 2012, hundreds of studies have been dedicated to the extraction and validation of statistical instantiations of the p-factor, called general factors of psychopathology. In this Perspective, we outline five…

Much research has been devoted to identification of differential item functioning (DIF), which occurs when the item responses for individuals from two groups differ after they are conditioned on the latent trait being measured by the scale. There has been less work examining differential step functioning (DSF), which is present for polytomous…

Researchers often study dynamic processes of latent variables in everyday life, such as the interplay of positive and negative affect over time. An intuitive approach is to first estimate the measurement model of the latent variables, then compute factor scores, and finally use these factor scores as observed scores in vector autoregressive…

Many datasets resulting from participant ratings for word norms and also concreteness ratios are available. However, the concreteness information of infrequent words and non-words is rare. This work aims to propose a model for estimating the concreteness of infrequent and new lexicons. Here, we used Lancaster sensory-motor word norms to predict…

This three-article dissertation aims to address three methodological challenges to ensure comparability in educational research, including scale linking, test equating, and propensity score (PS) weighting. The first study intends to improve test scale comparability by evaluating the effect of six missing data handling approaches, including…

This study aimed to introduce an ego-resiliency questionnaire for preadolescents (the ER-P) by restructuring the ER89 using the data of 1398 preadolescents from the Panel Study on Korean Children. The ER-P was proposed as a 10-item second-order instrument with two factors (Optimal Regulation and Openness to Life Experiences). The ER-P achieved…

How parents value and address emotions with their children is essential for children's emotion socialization. This study developed and validated the short Parent-Child Emotion Communication questionnaire (PEC), which measures the extent to which parents appreciate emotions, consciously discuss their own and their child's emotions with their…

In response to the prevalence of perceived internship Pick-up Artist(PUA) behaviours and the lack of appropriate measurement tools, the purpose of this study was to develop and validate a new self-designed questionnaire, the Perceived Internship PUA Scale (PIPUAS), to assess college student interns' perceptions of internship PUA behaviours. The…

The present study aimed to demonstrate how the mixed methods approach was used to develop and validate a quantitative instrument for measuring forms of capital (a "Capital Scale") among K-12 teachers, using the two-phase approach of an exploratory sequential model. The study includes: (1) a qualitative phase based on 16 semi-structured…

This dissertation consists of three essays that use and develop econometric methods to causally investigate topics in education and development economics. In the first chapter, I develop an econometric framework to correctly and efficiently draw inference in models where estimated value-added (VA) is an explanatory variable (and models where it…

With technology integration efforts expanding to early childhood education globally, assessing preschool teachers' technological competence beliefs is imperative. However, most existing tools measuring teachers' information and communication technology (ICT) competence beliefs focused on primary through secondary grades. This study examined the…