Comparing methods for addressing missingness in longitudinal modeling of panel data
… Alternative methods to address bias from nonresponse are full information maximum likelihood
(FIML) or multiple imputation (MI). The effects on bias of growth parameter estimates from …
(FIML) or multiple imputation (MI). The effects on bias of growth parameter estimates from …
… and latent mean differences of the digital native assessment scale across Chinese mainland, Macau, and Taiwan: An exploratory structural equation modeling …
… , Macau, and Taiwan, the latent means for one group (eg mainland China) would be set to
be zeros and freely estimated for the other two groups (eg Macau and Taiwan). Furthermore, …
be zeros and freely estimated for the other two groups (eg Macau and Taiwan). Furthermore, …
[图书][B] Advanced issues in partial least squares structural equation modeling
… structural equation modeling (PLS-SEM) method. Besides supporting consultancies and
international corporations, he regularly teaches doctoral seminars on business analytics and …
international corporations, he regularly teaches doctoral seminars on business analytics and …
Evaluating the use of covariance‐based structural equation modelling with reflective measurement in organizational and management research: A review and …
… structural equation modelling… (which) is able to capture the nested nature of the data, examine
multiple … (2.1) Does the study specify the overall structural equation model(s) to be tested…
multiple … (2.1) Does the study specify the overall structural equation model(s) to be tested…
Evaluation and classification of mobile financial services sustainability using structural equation modeling and multiple criteria decision-making methods
… regarded from several perspectives [48]. As the traditional notion of strategic planning lacks
multidimensional prominence, this paper integrates the structural equation modeling and …
multidimensional prominence, this paper integrates the structural equation modeling and …
Imputation of mixed data with multilevel singular value decomposition
… However, these methods are defined as multiple imputation methods and used the imputed
… over 100 multiple imputed data to get one single imputed dataset. The imputation based on …
… over 100 multiple imputed data to get one single imputed dataset. The imputation based on …
[图书][B] Applied structural equation modeling using AMOS: Basic to advanced techniques
J Collier - 2020 - taylorfrancis.com
… When I first started teaching structural equation modeling, I … tool to finally understand structural
equation modeling. That day, … I think inspiration comes in many ways, but it seems to come …
equation modeling. That day, … I think inspiration comes in many ways, but it seems to come …
Missing data in multilevel research.
S Grund, O Lüdtke, A Robitzsch - 2019 - psycnet.apa.org
… Multiple imputation generates several (M) replacements for … and the parameters of the
imputation model. The M data sets are … adopt the framework of structural equation modeling …
imputation model. The M data sets are … adopt the framework of structural equation modeling …
[图书][B] Composite-based structural equation modeling: Analyzing latent and emergent variables
J Henseler - 2020 - books.google.com
… In the remainder, this chapter presents two auxiliary theories. Firstly, it studies measurement
theory as the dominant auxiliary theory of behavioral science. Secondly, it develops …
theory as the dominant auxiliary theory of behavioral science. Secondly, it develops …