Florian Schuberth
Datos Biográficos
| ID | 6465182 |
|---|---|
| NOMBRE | Florian Schuberth |
| NOMBRES | Florian |
| APELLIDO | Schuberth |
| FIRMA | SCHUBERTH F |
| AFILIACIONES | University of Twente |
| ORCID | 0000-0002-2110-9086 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 10 |
| TOTAL DE CITAS | 7 |
| TOTAL COMO AUTOR | 10 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2019 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2024 |
| ÍNDICE H | 1 |
When and how to use confirmatory composite analysis (CCA) in second language research
Researchers in second language (L2) and education domain use different statistical methods to assess their constructs of interest. Many L2 constructs emerge from elements/parts, i.e., the elements define and form the construct and not the other way around. These constructs are referred to as emergent variables (also called components, formative constructs, and composite constructs). Because emergent variables are composed of elements/parts, they …
The Effect of Measurement Error on Hypothesis Testing in Small Sample Structural Equation Modeling
Researchers seeking valid statistical inference in the presence of measurement error often apply approaches that ignore measurement error. This may result in biased estimates, inflated type I error rates, diminished power, and therefore, increases the risk of drawing erroneous conclusions. However, current advice on accounting for random measurement error is limited to large samples and traditional linear models. This article aims to address this…
Mastery and social position
The pragmatic view of urban resilience has re-framed long-lasting social issues as chronic social stresses that can be addressed by building strong social networks in urban environments. This practice, inspired by disaster management, is problematic because it presupposes a community whose members share the same fate. Conversely, social vulnerability emerges from the asymmetrical distribution of agency in the social order, so that a low social po…
Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling
In their article, Yuan and Deng argue that a structural parameter under partial least squares structural equation modeling (PLS-SEM) is zero if and only if the same structural parameter is zero under covariance-based structural equation modeling (CB-SEM). Yuan and Deng then conclude that statistical tests on individual structural parameters assessing the null hypothesis of no effect can achieve the same purpose in CB-SEM and PLS-SEM. Our response…
Confirmatory composite analysis in human development research
Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no appropriate technique available for assessing composites with the same degree of rigor comparable to that kno…
The choice of structural equation modeling technique matters
Ganesh Dash and Justin Paul authored an article titled “CB-SEM vs. PLS-SEM methods for research in social science and technological forecasting” in a special issue of Technological Forecasting and Social Change, co-edited by Justin Paul. Unfortunately, the article’s central conclusion – “CB or PLS or PLSc do not matter” – is misleading and at odds with practically all extant conceptual and empirical research on this subject. This commentary ident…
HTMT2–an improved criterion for assessing discriminant validity in structural equation modeling
Purpose One popular method to assess discriminant validity in structural equation modeling is the heterotrait-monotrait ratio of correlations (HTMT). However, the HTMT assumes tau-equivalent measurement models, which are unlikely to hold for most empirical studies. To relax this assumption, the authors modify the original HTMT and introduce a new consistent measure for congeneric measurement models: the HTMT2. Design/methodology/approach The HTMT…
How to perform and report an impactful analysis using partial least squares
et la diffusion de documents scientifiques de niveau recherche, publis ou non, manant des tablissements d'enseignement et de recherche franais ou trangers, des laboratoires publics ou privs.
A test for multigroup comparison using partial least squares path modeling
Purpose People seem to function according to different models, which implies that in business and social sciences, heterogeneity is a rule rather than an exception. Researchers can investigate such heterogeneity through multigroup analysis (MGA). In the context of partial least squares path modeling (PLS-PM), MGA is currently applied to perform multiple comparisons of parameters across groups. However, this approach has significant drawbacks: fir…
Measurement error correlation within blocks of indicators in consistent partial least squares
Purpose The purpose of this paper is to enhance consistent partial least squares (PLSc) to yield consistent parameter estimates for population models whose indicator blocks contain a subset of correlated measurement errors. Design/methodology/approach Correction for attenuation as originally applied by PLSc is modified to include a priori assumptions on the structure of the measurement error correlations within blocks of indicators. To assess the…
A test for multigroup comparison using partial least squares path modeling
Purpose People seem to function according to different models, which implies that in business and social sciences, heterogeneity is a rule rather than an exception. Researchers can investigate such heterogeneity through multigroup analysis (MGA). In the context of partial least squares path modeling (PLS-PM), MGA is currently applied to perform multiple comparisons of parameters across groups. However, this approach has significant drawbacks: fir…
The Effect of Measurement Error on Hypothesis Testing in Small Sample Structural Equation Modeling
Researchers seeking valid statistical inference in the presence of measurement error often apply approaches that ignore measurement error. This may result in biased estimates, inflated type I error rates, diminished power, and therefore, increases the risk of drawing erroneous conclusions. However, current advice on accounting for random measurement error is limited to large samples and traditional linear models. This article aims to address this…
A test for multigroup comparison using partial least squares path modeling
Purpose People seem to function according to different models, which implies that in business and social sciences, heterogeneity is a rule rather than an exception. Researchers can investigate such heterogeneity through multigroup analysis (MGA). In the context of partial least squares path modeling (PLS-PM), MGA is currently applied to perform multiple comparisons of parameters across groups. However, this approach has significant drawbacks: fir…
Measurement error correlation within blocks of indicators in consistent partial least squares
Purpose The purpose of this paper is to enhance consistent partial least squares (PLSc) to yield consistent parameter estimates for population models whose indicator blocks contain a subset of correlated measurement errors. Design/methodology/approach Correction for attenuation as originally applied by PLSc is modified to include a priori assumptions on the structure of the measurement error correlations within blocks of indicators. To assess the…
How to perform and report an impactful analysis using partial least squares
et la diffusion de documents scientifiques de niveau recherche, publis ou non, manant des tablissements d'enseignement et de recherche franais ou trangers, des laboratoires publics ou privs.
HTMT2–an improved criterion for assessing discriminant validity in structural equation modeling
Purpose One popular method to assess discriminant validity in structural equation modeling is the heterotrait-monotrait ratio of correlations (HTMT). However, the HTMT assumes tau-equivalent measurement models, which are unlikely to hold for most empirical studies. To relax this assumption, the authors modify the original HTMT and introduce a new consistent measure for congeneric measurement models: the HTMT2. Design/methodology/approach The HTMT…
Mastery and social position
The pragmatic view of urban resilience has re-framed long-lasting social issues as chronic social stresses that can be addressed by building strong social networks in urban environments. This practice, inspired by disaster management, is problematic because it presupposes a community whose members share the same fate. Conversely, social vulnerability emerges from the asymmetrical distribution of agency in the social order, so that a low social po…
Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling
In their article, Yuan and Deng argue that a structural parameter under partial least squares structural equation modeling (PLS-SEM) is zero if and only if the same structural parameter is zero under covariance-based structural equation modeling (CB-SEM). Yuan and Deng then conclude that statistical tests on individual structural parameters assessing the null hypothesis of no effect can achieve the same purpose in CB-SEM and PLS-SEM. Our response…
Confirmatory composite analysis in human development research
Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no appropriate technique available for assessing composites with the same degree of rigor comparable to that kno…
The choice of structural equation modeling technique matters
Ganesh Dash and Justin Paul authored an article titled “CB-SEM vs. PLS-SEM methods for research in social science and technological forecasting” in a special issue of Technological Forecasting and Social Change, co-edited by Justin Paul. Unfortunately, the article’s central conclusion – “CB or PLS or PLSc do not matter” – is misleading and at odds with practically all extant conceptual and empirical research on this subject. This commentary ident…
When and how to use confirmatory composite analysis (CCA) in second language research
Researchers in second language (L2) and education domain use different statistical methods to assess their constructs of interest. Many L2 constructs emerge from elements/parts, i.e., the elements define and form the construct and not the other way around. These constructs are referred to as emergent variables (also called components, formative constructs, and composite constructs). Because emergent variables are composed of elements/parts, they …
The Effect of Measurement Error on Hypothesis Testing in Small Sample Structural Equation Modeling
Researchers seeking valid statistical inference in the presence of measurement error often apply approaches that ignore measurement error. This may result in biased estimates, inflated type I error rates, diminished power, and therefore, increases the risk of drawing erroneous conclusions. However, current advice on accounting for random measurement error is limited to large samples and traditional linear models. This article aims to address this…
Mathematics (9 obras) · Computer Science (8 obras) · Econometrics (8 obras) · Statistics (8 obras) · Structural equation modeling (7 obras) · Psychometric Methodologies and Testing (5 obras) · Advanced Statistical Modeling Techniques (4 obras) · Psychology (4 obras) · Confirmatory factor analysis (3 obras) · Machine learning (3 obras)