Dataset PLS-SEM Analysis Pentagon Fraud Factor of Academic Dishonesty/Fraud in The High School & Vocational High School of Jepara

Published: 3 January 2023| Version 3 | DOI: 10.17632/v6np4jck2t.3
Rochman Hadi Mustofa,


The dataset contains an analysis of the SmartPLS 3 (PLS algorithm and Bootstrapping), filtered and translated data from Google Forms (RAW Data). The data analysis was used to determine the factors that affect academic dishonesty/fraud from the Crowe Pentagon Fraud perspective. The sample of the study was 272 high schools and/or vocational high schools in Jepara Regency, Central Java Province, Indonesia.


Steps to reproduce

Questionnaires were developed using variables from Pentagon Fraud (Competence, Opportunity, Rationalization, Arrogance, and Pressure). The Likert scale was used to measure how people felt, and it went from "Strongly Agree" to "Strongly Disagree." Questionnaires were distributed to respondents using the Google Forms platform. The data was then filtered for analysis purposes. Analysis was conducted using SmartPLS 3. The first phase of analysis uses the PLS algorithm to measure the parameters of the outer model, including construct validity and reliability, discriminant validity, convergent validity, and composite reliability. All the parameters were reached. The second phase analysis was conducted using a bootstrapping technique to identify the inner models, including R-square, f-square, direct effects, and indirect effects.  


Universitas Muhammadiyah Surakarta, Universitas Negeri Malang


Education, Academic Discipline, Online Learning, High School Student, Vocational School Student, Fraud, Pentagon