Abstract
This study assessed the knowledge of faculty researchers in a State University in Region 3 regarding data and statistical analysis. It aimed to determine their level of knowledge, identify challenges encountered, and propose strategies for improvement. A descriptive-evaluative research design was used, with 214 faculty researchers selected through random sampling from a population of 480 based on HRMO records as of February 2022. Findings showed that faculty researchers possessed a reasonable level of knowledge, particularly in descriptive statistics and data presentation. However, additional training in advanced statistical tools and techniques was recommended to strengthen their research capabilities. Results also indicated that most faculty members had not taught subjects related to data and statistical analysis, suggesting a gap in instructional and practical expertise. Thus, capacity-building initiatives such as training and professional development were recommended to improve research quality and productivity. No significant differences in knowledge were found across demographic factors such as sex, age, civil status, years in teaching, campus, and college. However, a significant difference emerged in knowledge of statistical tools across fields of specialization, with math and engineering faculty showing higher proficiency. Challenges encountered included limited expertise, insufficient training opportunities, lack of access to statistical software, time constraints, and the complexity of data. To address these issues, the study recommended organizing extensive and consistent seminars, webinars, training sessions, and workshops focusing on data and statistical analysis using appropriate software. These initiatives would enhance competence and enable researchers to utilize statistical tools effectively, supporting informed decision-making and accurate interpretation.