SmartPLS MGA: A Cookbook, Not a Novel

Overview

Paper Summary › Explain Like I'm Five › Conflicts of Interest › Identified Limitations › Rating Explanation › Good to know › Topic Hierarchy › File Information ›

Paper Summary

Paperzilla title

This editorial provides a step-by-step guide for conducting Multigroup Analysis (MGA) using SmartPLS 3.3.2, including measurement invariance testing with the MICOM procedure. It aims to help researchers understand and apply MGA to examine heterogeneity effects in business research.

Explain Like I'm Five

Scientists found a new way to sort out businesses into different groups, like big stores and small stores, to see how they are different or the same.

Possible Conflicts of Interest

None identified

Identified Limitations

Editorial, not a research study

This paper is an editorial, not a research study, so it doesn't present original findings or have traditional limitations like sample size or data collection methods. Its value lies in providing guidelines, not in contributing new empirical evidence.

Software-specific guidelines

The focus is very narrow, specifically on using SmartPLS 3.3.2. This limits the generalizability of the guidelines to other software or PLS-SEM approaches.

Assumed prior knowledge

While it provides step-by-step instructions, the editorial assumes a basic understanding of PLS-SEM and MGA. Researchers completely new to these concepts might find it challenging.

Rating Explanation

This editorial provides helpful practical guidance for researchers using SmartPLS for MGA. It is clearly written and well-organized. However, its lack of original research and narrow software focus limits its impact and generalizability, leading to a rating of 3.

Good to know

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Topic Hierarchy

Domain: Life Sciences

Field: Agricultural and Biological Sciences

Subfield: Insect Science

File Information

Original Title: Multigroup analysis using SmartPLS: step-by-step guidelines for business research

Uploaded: July 14, 2025 at 10:47 AM

Privacy: Public