العربية 
16/07/2026
The Faculty Development Center at Applied Science Private University organized a specialized training workshop entitled “Statistical Analysis Using SPSS” during the 2025–2026 academic year. The workshop targeted faculty members from the scientific faculties and was conducted.
over four training sessions held on May 21, June 4, June 11, and June 18, 2026, in the Interactive Workshop Hall 4105 at the Faculty of Pharmacy. The workshop was delivered by Prof. Rana Abu Farha and aimed to enhance participants’ skills in using SPSS software and conducting statistical analyses in a systematic and scientifically sound manner. The training sought to strengthen research competencies and improve faculty members’ ability to manage and analyze research data effectively. The first session introduced participants to SPSS statistical software, covering the software interface, data entry procedures, variable definition and labeling, handling missing values, and importing data from various sources. Participants also learned essential data management and manipulation techniques, including recoding variables, computing new variables, sorting and filtering data, splitting files, and selecting cases. The second session focused on fundamental research and statistical concepts. Topics included different study designs, variable classification, statistical significance and p-values, confidence intervals, Type I and Type II errors, hypothesis testing, and the assessment of normal data distribution and related assumptions required for statistical analyses. During the third session, participants explored descriptive statistics and data visualization techniques. The session covered measures of central tendency and dispersion, frequency distributions, percentages, and graphical representations of data, including bar charts, pie charts, histograms, and boxplots. Emphasis was also placed on the effective presentation of research findings through tables and figures. The fourth and final session addressed inferential statistics and statistical testing. Participants received practical training on comparative statistical tests, including one-sample, independent-samples, and paired-samples t-tests, as well as Analysis of Variance (ANOVA) and post-hoc tests. The session also covered association and correlation analyses, including Chi-square, Fisher’s Exact, McNemar, Pearson, and Spearman tests, in addition to nonparametric methods such as the Wilcoxon signed-rank test, Mann–Whitney U test, and Kruskal–Wallis test. Guidance was provided on selecting appropriate statistical tests and interpreting their results accurately. The workshop witnessed active participation and engagement from attendees, who highlighted the importance of the topics presented in supporting their academic and research activities. Participants emphasized the value of acquiring practical skills in statistical analysis, selecting appropriate analytical methods, and interpreting results with confidence and accuracy. This workshop reflects the Faculty Development Center’s ongoing commitment to providing high-quality professional development programs that enhance the academic and research capabilities of faculty members and contribute to the continuous improvement of teaching, learning, and scientific research at the University.
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