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Anomalous results in G-factor models: Explanations and alternatives.
G-factor models such as the bifactor model and the hierarchical G-factor model are
increasingly applied in psychology. Many applications of these models have produced …
increasingly applied in psychology. Many applications of these models have produced …
Measuring method effects: From traditional to design-oriented approaches
This article presents an overview of recent psychometric developments in the area of
multimethod measurement, in which we argue that different types of research designs …
multimethod measurement, in which we argue that different types of research designs …
Cross-classified models in I/O psychology
Cross-classified models accommodate data structures that have more than one cluster
variable, which are not nested in each other but overlap. They simultaneously consider all …
variable, which are not nested in each other but overlap. They simultaneously consider all …
The Implicit Association Test and its difficulty (ies): Introducing the test difficulty concept to increase the true-score variance and, consequently, the predictive power of …
We introduce the test difficulty concept from classical test theory to tackle the issue of low
predictive power of implicit association tests (IATs). Following classical test theory, we argue …
predictive power of implicit association tests (IATs). Following classical test theory, we argue …
Using the thin slices technique to assess interactional quality in early childhood education and care settings
K Vinokic, F Baron, M Kunter, A Linberg… - Frontiers in …, 2024 - frontiersin.org
There are a variety of instruments for measuring interaction quality of Early Childhood
Education and Care (ECEC) teachers. However, these instruments are extremely resource …
Education and Care (ECEC) teachers. However, these instruments are extremely resource …
Identifying determinants of teachers' judgment (in) accuracy regarding students' school-related motivations using a Bayesian cross-classified multi-level model
Teachers differ considerably in their judgment accuracy of motivational student
characteristics. Thus far, only few investigations have focused on explaining these …
characteristics. Thus far, only few investigations have focused on explaining these …
Multitrait–multimethod models
In 1959, Donald Campbell and Donald Fiske introduced the multitrait-multimethod matrix
(MTMM) as a tool for analyzing convergent and discriminant validity." Convergent validity" …
(MTMM) as a tool for analyzing convergent and discriminant validity." Convergent validity" …
Latent Reciprocal Engagement and Accuracy Variables in Social Relations Structural Equation Modeling
D Jendryczko, FW Nussbeck - Multivariate Behavioral Research, 2024 - Taylor & Francis
The social relations model (SRM) is the standard approach for analyzing dyadic data
stemming from round-robin designs. The model can be used to estimate correlation …
stemming from round-robin designs. The model can be used to estimate correlation …
A multimethod latent state-trait model for structurally different and interchangeable methods
A new multiple indicator multilevel latent state-trait (LST) model for the analysis of multitrait–
multimethod–multioccasion (MTMM-MO) data is proposed. The LST-COM model combines …
multimethod–multioccasion (MTMM-MO) data is proposed. The LST-COM model combines …
Do method effects generalize across traits (and what if they don't)?
Objective Multitrait‐multimethod (MTMM) data can be analyzed with single‐indicator
confirmatory factor analysis (CFA‐MTMM) models. Most single‐indicator CFA‐MTMM …
confirmatory factor analysis (CFA‐MTMM) models. Most single‐indicator CFA‐MTMM …