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user_id
stringlengths
8
8
agency_cue
float64
0
1
perception_factuality
float64
0.25
1
score_factuality
float64
-0.25
0.5
perception_faith
float64
0.25
1
score_faith
float64
-0.25
0.5
Q12
float64
1
5
Q13
float64
1
5
Q14
float64
1
5
Q15
float64
1
5
AI_trust
float64
1
4.75
Unnamed: 11
float64
1
5
Q16
float64
1
5
Unnamed: 13
float64
1
5
Q17
float64
1
5
Unnamed: 15
float64
1
5
Q18
float64
1
5
Q19
float64
1
5
Q20
float64
1
5
Q21
float64
1
5
Unnamed: 20
float64
1
5
Q22
float64
1
5
Unnamed: 22
float64
1
5
Q23
float64
1
5
AI_knowledge
float64
1.43
5
gender
float64
0
1
age
float64
2
7
education
float64
1
5
experience
float64
0
3
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xLVmb2b7
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2
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MZqxYQKe
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End of preview. Expand in Data Studio

Research_Data_HMR

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

File Description

File Description
Research_Data.xlsx Research data (Excel format)
Formal_Analysis_PLS-SEM.R Formal PLS-SEM analysis code (R language)

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 "AI_knowledge" and "AI_trust" 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.

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