Self-Assessment Responses for Project Managers/Leaders and Followers Assessment (project engineers, project supervisors, team members and senior managers) in the Australian Construction Industry

Self-Assessment Responses for Project Managers/Leaders and Followers Assessment (project engineers, project supervisors, team members and senior managers) in the Australian Construction Industry

The self-assessment response data were collected through a questionnaire survey method, targeting primarily project managers/leaders (self-assessment), and the results were tested and validated by another independent group of followers (project engineers, project supervisors, team members and senior managers who worked with project managers) - Dataset 2. The follower's assessment allowed them to report leadership behavioural practices as observed, making the research more effective and the study's results verifiable. The survey participants were selected to align with the research objectives and questions, aiming to gather perception data from qualified project managers/leaders with experience, expertise, and knowledge in managing building construction projects.

The questionnaire survey method was selected for this study because of the following reasons: they require less time and energy to administer, incur low cost, offer anonymity because the respondents' names are not required on the completed questionnaires, and respondents have adequate time to provide well thought out answers to the questions. Respondents were asked to provide information on various sections in the questionnaire based on the most recently completed project/s: (1) demographics, (2) project characteristics (type, size, complexity, and site structure [single/multiple], and (3) their perceptions on questions related to (1) leadership practices, (2) communication, (3) relationship management, (4) conflict management, and (5) project success. The data collected for this study are primary data, which are firsthand data collected personally by the researcher. The data analysis was conducted using the Statistical Package for Social Sciences (SPSS-29.0.2.0), involving exploratory factor analysis and multivariate/stepwise regression analysis to identify key project success factors in the construction industry.

Toowoomba