Relationships between psychological contract breach and employee well‐being and career‐related behavior: The role of occupational future time perspective
H Zacher, CW Rudolph - Journal of Organizational Behavior, 2021 - Wiley Online Library
Relationships between psychological contract breach and employee well‐being and career‐
related behavior cannot sufficiently be explained by social exchange and reciprocity …
related behavior cannot sufficiently be explained by social exchange and reciprocity …
Dynamic effects of personal initiative on engagement and exhaustion: The role of mood, autonomy, and support
Researchers have neglected dynamic effects of proactive behavior on occupational well‐
being. We investigated effects of change in personal initiative over 6 months on changes in …
being. We investigated effects of change in personal initiative over 6 months on changes in …
Predictors of resilience of university students to educational stressors during the COVID-19 pandemic: A longitudinal study in Germany.
The COVID-19 pandemic has disrupted educational systems worldwide, and various
alarming effects of this crisis on university students' mental health have been reported. This …
alarming effects of this crisis on university students' mental health have been reported. This …
Estimating the maximum likelihood root mean square error of approximation (RMSEA) with non-normal data: A Monte-Carlo study
Recent research has provided formulae for estimating the maximum likelihood (ML) RMSEA
when mean or mean and variance, corrections for non-normality are applied to the …
when mean or mean and variance, corrections for non-normality are applied to the …
[HTML][HTML] The “sense” behind proactive behaviors: Feedback seeking, meaningfulness, and personal initiative
With organizations increasingly requiring employees to proactively manage their job and
career, researchers have examined various proactive behaviors, such as feedback-seeking …
career, researchers have examined various proactive behaviors, such as feedback-seeking …
Assessing model fit in structural equation modeling using appropriate test statistics
KM Marcoulides, N Foldnes… - … Equation Modeling: A …, 2020 - Taylor & Francis
The assessment of model fit has received widespread interest by researchers in the
structural equation modeling literature for many years. Various model fit test statistics have …
structural equation modeling literature for many years. Various model fit test statistics have …
Pernicious polychorics: The impact and detection of underlying non-normality
N Foldnes, S Grønneberg - Structural Equation Modeling: A …, 2020 - Taylor & Francis
Ordinal data in social science statistics are often modeled as discretizations of a multivariate
normal vector. In contrast to the continuous case, where SEM estimation is also consistent …
normal vector. In contrast to the continuous case, where SEM estimation is also consistent …
Model-implied simulation-based power estimation for correctly specified and distributionally misspecified models: Applications to nonlinear and linear structural …
JP Irmer, AG Klein, K Schermelleh-Engel - Behavior research methods, 2024 - Springer
Closed-form (asymptotic) analytical power estimation is only available for limited classes of
models, requiring correct model specification for most applications. Simulation-based power …
models, requiring correct model specification for most applications. Simulation-based power …
covsim: An r package for simulating non-normal data for structural equation models using copulas
S Grønneberg, N Foldnes… - Journal of Statistical …, 2022 - jstatsoft.org
In factor analysis and structural equation modeling non-normal data simulation is
traditionally performed by specifying univariate skewness and kurtosis together with the …
traditionally performed by specifying univariate skewness and kurtosis together with the …
Asymptotic is better than Bollen-Stine bootstrapping to assess model fit: The effect of model size on the chi-square statistic
R Corrêa Ferraz, A Maydeu-Olivares… - … Equation Modeling: A …, 2022 - Taylor & Francis
Previous research on bootstrapped p-values for the chi-square test of model fit has been
limited to small models (around 10 variables), revealing that these p-values are accurate …
limited to small models (around 10 variables), revealing that these p-values are accurate …