Dataset for Behavioral Intentions based on Learning Acceptance of Information Flow Diagram Capability for Software Design
Description
Thailand's private and public university students were the target demographic. Student's behavioral intentions to learn information flow diagrams for two semesters, from January 2021 to February 2022, were collected after the class. Primary data sources were collected from distributing online questionnaires (Google Forms). This study's sample consisted of 537 individuals with various characteristics who were required to examine a new software design called an information flow diagram for software design. The authors distributed and collected 537 completed questionnaires. During the survey, no invalid response forms were submitted. The authors conducted a survey using a sample of 537 students from four private and public universities. Region: Asia Kingdom of Thailand
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Steps to reproduce
The dataset was compiled by collecting raw data through an online Google form questionnaire. The data is formatted as an Excel spreadsheet. Using SPSS 28.0 and SmartPLS 4.0.8, all valid samples were analyzed for construct validity and reliability, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Model (SEM). As the primary factor analyses, the technology acceptance model (TAM) factors, including perceived ease of use and usefulness, were implemented. By extending the TAM model, the information flow diagram ability, software design satisfaction, and business requirement expectation could be studied to determine user behavior intention to accept a novel software design diagram using information flow design and development for software engineering.