Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives

H Leitgöb, D Seddig, T Asparouhov, D Behr… - Social science …, 2023 - Elsevier
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 …

Decalogue for the factor analysis of test items

PJ Ferrando, U Lorenzo-Seva… - …, 2022 - search.proquest.com
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 …

An updated guideline for assessing discriminant validity

M Rönkkö, E Cho - Organizational Research Methods, 2022 - journals.sagepub.com
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 …

Modeling the interaction of internal and external systems of rural settlements: the case of Guangdong, China

D Tong, Y Sun, J Tang, Z Luo, J Lu, X Liu - Land Use Policy, 2023 - Elsevier
A rural settlement is a socio-ecological system (SES) characterized by multiple systemic
attributes, including natural, socio-economic, morphological, and locational elements …

The development and validation of the state self-compassion scale (long-and short form)

KD Neff, I Tóth-Király, MC Knox, A Kuchar, O Davidson - Mindfulness, 2021 - Springer
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 …

Modern factor analytic techniques: Bifactor models, exploratory structural equation modeling (ESEM), and bifactor‐ESEM

AJS Morin, ND Myers, S Lee - Handbook of sport psychology, 2020 - Wiley Online Library
This chapter focuses on Exploratory Structural Equation Modeling (ESEM), incorporating
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 …

On comparing results from CB-SEM and PLS-SEM: Five perspectives and five recommendations

EE Rigdon, M Sarstedt, CM Ringle - Marketing: ZFP–Journal of Research …, 2017 - JSTOR
To estimate structural equation models, researchers can draw on two main approaches:
Covariance-based structural equation modeling (CB-SEM) and partial least squares …

Testing a continuum structure of self-determined motivation: A meta-analysis.

JL Howard, M Gagné, JS Bureau - Psychological bulletin, 2017 - psycnet.apa.org
Self-determination theory proposes a multidimensional representation of motivation
comprised of several factors said to fall along a continuum of relative autonomy. The current …

Clarifying the structure and nature of left-wing authoritarianism.

TH Costello, SM Bowes, ST Stevens… - Journal of personality …, 2022 - psycnet.apa.org
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 …