Anomalous results in G-factor models: Explanations and alternatives.

M Eid, C Geiser, T Koch, M Heene - Psychological methods, 2017 - psycnet.apa.org
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 …

Measuring method effects: From traditional to design-oriented approaches

M Eid, C Geiser, T Koch - Current Directions in …, 2016 - journals.sagepub.com
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 …

Cross-classified models in I/O psychology

AM Claus, MG Arend, CL Burk, C Kiefer… - Journal of Vocational …, 2020 - Elsevier
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 …

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 …

M Urban, T Koch, K Rothermund - Journal of Personality and Social …, 2024 - psycnet.apa.org
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 …

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 …

Identifying determinants of teachers' judgment (in) accuracy regarding students' school-related motivations using a Bayesian cross-classified multi-level model

AK Praetorius, T Koch, A Scheunpflug, H Zeinz… - Learning and …, 2017 - Elsevier
Teachers differ considerably in their judgment accuracy of motivational student
characteristics. Thus far, only few investigations have focused on explaining these …

Multitrait–multimethod models

M Eid, T Koch, C Geiser - Handbook of structural equation …, 2023 - books.google.com
In 1959, Donald Campbell and Donald Fiske introduced the multitrait-multimethod matrix
(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 …

A multimethod latent state-trait model for structurally different and interchangeable methods

T Koch, M Schultze, J Holtmann, C Geiser, M Eid - Psychometrika, 2017 - cambridge.org
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 …

Do method effects generalize across traits (and what if they don't)?

C Geiser, TG Simmons - Journal of Personality, 2021 - Wiley Online Library
Objective Multitrait‐multimethod (MTMM) data can be analyzed with single‐indicator
confirmatory factor analysis (CFA‐MTMM) models. Most single‐indicator CFA‐MTMM …