
Specifying Measurement Model in SEMinR
This lecture on SEMinR Package will introduce How to Specify the Measurement Model in the SEMinR package.
This lecture on SEMinR Package will introduce How to Specify the Measurement Model in the SEMinR package.
There are four steps to specify and estimate a structural equation model using SEMinR:
composite(“Put in Construct Name in Quotes”, multi_items(“Construct Code”, Starting Number:Ending Number), weights = mode_A);
Collaborative Culture construct with its indicator variables CC1, CC2, CC3, CC4, CC5, CC6:
composite(“CUSA”, single_item(“cusa”))
The program code facilitates the specification of standard measurement models. However, the constructs() function also allows specifying more complex models, such as interaction terms (Memon et al., 2019) and higher-order constructs (Sarstedt et al., 2019). We will discuss the interaction_term() function for specifying interactions in more detail later.
Step 2 in Creating a Model – Identify the variables in your study and Put them as Measurement Model.
Here simple_mm is an object which stores the constructs in the study.
<- Can be considered as an equal sign that assigns the constructs to the object.
constructs function holds the variables from the study, defined as composite (as discussed in the last slide)
Following is a brief review of the steps that have been discussed in SEMinR tutorials.
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook.
The tutorials on SEMinR are based on the mentioned book. The book is open source and available for download under this link.