SMART PLS 4 Lecture 3: Assesing Reflective Measurement Model; Reliability, loading, validity.
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- Опубліковано 6 вер 2024
- link for the data set used in this video: shorturl.at/hsMP3
data set less than 100 for student version: shorturl.at/tCW69
This lecture is part of a series on structural equation modeling (SEM) using SmartPLS 4. In this lecture, we will discuss the following topics related to reflective measurement models:
Reliability: How to assess the reliability of reflective measurement models.
Loadings: How to interpret the loadings of reflective indicators.
Validity: How to assess the validity of reflective measurement models.
We will also use a real-world data set to illustrate these concepts.
The target audience for this lecture is researchers who are new to SEM using SmartPLS 4. This lecture will provide a basic understanding of the concepts of reliability, loadings, and validity, and how to assess them in SmartPLS 4.
Here are some of the key takeaways from this lecture:
Reliability is a measure of how consistent the measurements are.
Loadings are the correlations between the indicators and the constructs they measure.
Validity is a measure of how well the constructs measure the theoretical constructs they are supposed to measure.
I hope this summary is helpful! Let me know if you have any other questions.
Here are some additional details about the topics discussed in the lecture:
Reliability: Reliability is a measure of how consistent the measurements are. There are a variety of methods that can be used to assess reliability, including Cronbach's alpha and composite reliability.
Loadings: Loadings are the correlations between the indicators and the constructs they measure. Loadings should be high, typically above 0.70.
Validity: Validity is a measure of how well the constructs measure the theoretical constructs they are supposed to measure. There are a variety of methods that can be used to assess validity, including convergent validity and discriminant validity.
What if AVE is above 0.5 but Cronbach alpha is below 0.7 what to do?