Janssen323/Research_Data_HMR

ResearchDataHMR

This repository contains the research data file and the corresponding formal PLS-SEM analysis code.

File Description

Data Description

• —Data file: Research_Data.xlsx
• —Analysis software: R
• —Analysis method: PLS-SEM (Partial Least Squares Structural Equation Modeling)
• —Note. Column "Q21" has been deleted in formal analysis due to the undesirable reliability and validity. Column "AIknowledge" and "AItrust" represent personal mean for descriptive statistics.

Usage

1. Load the Data (Python)

Since the data is in .xlsx format, the recommended way is:

import pandas as pd
from huggingface_hub import hf_hub_download

# Download the data file
file_path = hf_hub_download(
    repo_id="Janssen323/Research_Data_HMR",
    filename="Research_Data.xlsx",
    repo_type="dataset"
)

# Read the data
df = pd.read_excel(file_path)
print(df.head())

2. Run the Analysis Code (R)

First install the required packages:

install.packages(c("seminr", "cSEM", "readxl"))

Then run the script:

source("Formal_Analysis_PLS-SEM.R")

Environment Requirements

• —R (version 4.0 or higher recommended)
• —Required R packages: seminr, cSEM, readxl

Citation

If you use this data or code, please cite:

@misc{SenYang2026,
  title        = {Research_Data_HMR},
  author       = {Sen Yang},
  year         = {2026},
  howpublished = {\url{https://huggingface.co/datasets/Janssen323/Research_Data_HMR}},
  note         = {Research data and R code for PLS-SEM analysis}
}

Contact

If you have any questions, please contact the author via the repository’s Discussion or Issue section.