Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives
This review summarizes the current state of the art of statistical and (survey) methodological
research on measurement (non) invariance, which is considered a core challenge for the …
research on measurement (non) invariance, which is considered a core challenge for the …
Decalogue for the factor analysis of test items
Antecedentes: en el estudio de las propiedades psicométricas de los ítems de un test un
aspecto fundamental es el análisis de su estructura. El objetivo del presente trabajo es dar …
aspecto fundamental es el análisis de su estructura. El objetivo del presente trabajo es dar …
An updated guideline for assessing discriminant validity
Discriminant validity was originally presented as a set of empirical criteria that can be
assessed from multitrait-multimethod (MTMM) matrices. Because datasets used by applied …
assessed from multitrait-multimethod (MTMM) matrices. Because datasets used by applied …
Modeling the interaction of internal and external systems of rural settlements: the case of Guangdong, China
A rural settlement is a socio-ecological system (SES) characterized by multiple systemic
attributes, including natural, socio-economic, morphological, and locational elements …
attributes, including natural, socio-economic, morphological, and locational elements …
The development and validation of the state self-compassion scale (long-and short form)
Objectives The purpose of this research was to create two state measures of self-
compassion based on the Self-Compassion Scale (SCS): an 18-item State Self-Compassion …
compassion based on the Self-Compassion Scale (SCS): an 18-item State Self-Compassion …
Modern factor analytic techniques: Bifactor models, exploratory structural equation modeling (ESEM), and bifactor‐ESEM
This chapter focuses on Exploratory Structural Equation Modeling (ESEM), incorporating
bifactor‐ESEM, which represent an overarching data analytic framework in which classical …
bifactor‐ESEM, which represent an overarching data analytic framework in which classical …
Partial least squares path modeling
J Henseler - Advanced methods for modeling markets, 2017 - Springer
Structural equation modeling (SEM) is a family of statistical techniques that has become very
popular in marketing. Its ability to model latent variables, to take various forms of …
popular in marketing. Its ability to model latent variables, to take various forms of …
On comparing results from CB-SEM and PLS-SEM: Five perspectives and five recommendations
To estimate structural equation models, researchers can draw on two main approaches:
Covariance-based structural equation modeling (CB-SEM) and partial least squares …
Covariance-based structural equation modeling (CB-SEM) and partial least squares …
Testing a continuum structure of self-determined motivation: A meta-analysis.
Self-determination theory proposes a multidimensional representation of motivation
comprised of several factors said to fall along a continuum of relative autonomy. The current …
comprised of several factors said to fall along a continuum of relative autonomy. The current …
Clarifying the structure and nature of left-wing authoritarianism.
Authoritarianism has been the subject of scientific inquiry for nearly a century, yet the vast
majority of authoritarianism research has focused on right-wing authoritarianism. In the …
majority of authoritarianism research has focused on right-wing authoritarianism. In the …