Faculty Development Programme on SPSS – Session 3
07 April 2026, Tuesday
07 April 2026, Tuesday
11:00 AM
12:10 PM
School of Law, IILM University, Gurugram
Centre for Faculty Research & Development
Dr. Monika Bhatia
IILM University, Gurugram
Session 3 of the Faculty Development Programme on SPSS, conducted on 7th April 2026 from 11:00 AM to 12:10 PM in B2 102 and delivered by Dr. Monika Bhatia, advanced the progressive training series by introducing faculty members to the concepts of correlation and regression analysis — representing a significant methodological step forward from the descriptive statistics and frequency analysis covered in Sessions 1 and 2.
The session provided hands-on instruction in bivariate correlation using SPSS, with Dr. Monika Bhatia guiding participants through the process of analysing correlations, emphasising the appropriate conditions and interpretive criteria for their application — thereby equipping faculty members with a core inferential statistical tool essential for examining relationships between variables in empirical legal research.
Dr. Monika Bhatia introduced the foundational principles of regression analysis, with particular emphasis on the importance of the dependent variable and the scope of linear regression — using the values of R and R² as examples to demonstrate how regression outputs should be interpreted and applied in the context of quantitative legal studies.
The session also provided a conceptual introduction to ANOVA (Analysis of Variance) and its vital role in comparing the means of two or more datasets — extending faculty members’ statistical toolkit beyond correlation and regression and laying the groundwork for more complex multi-variable empirical analyses in future legal research.
The third session of the FDP series reinforced the programme’s cumulative pedagogical design, building systematically on prior sessions to deepen faculty members’ practical SPSS competence — with Session 3 specifically enhancing their ability to conduct inferential analyses, interpret statistical relationships, and present research findings with greater analytical precision and scholarly credibility.
Note: This was exclusively a faculty development programme. No student participants are recorded. The following points reflect faculty takeaways as documented.
Faculty members gained practical, hands-on competence in conducting bivariate correlation analysis using SPSS, including an understanding of the appropriate conditions for its application and the correct interpretive criteria for correlation outputs — directly enhancing their capacity for inferential quantitative analysis in empirical legal research.
Participants developed a foundational understanding of regression analysis, including the significance of the dependent variable, the scope of linear regression, and the interpretation of R and R² values — equipping them with one of the most widely applied statistical tools in social science and legal empirical research.
The introduction to ANOVA expanded faculty members’ statistical literacy by providing conceptual grounding in the technique used to compare means across two or more datasets — a skill that broadens the range of research questions faculty members can address in empirical legal scholarship.
Through progressive hands-on instruction across all three FDP sessions, faculty members developed an integrated and systematically deepening competence in SPSS — progressing from data setup and descriptive statistics to frequency analysis and now to correlation, regression, and ANOVA — reflecting meaningful cumulative professional development in quantitative research methods.
The session strengthened faculty members’ overall ability to interpret and present empirical research findings with greater statistical rigour, scholarly credibility, and analytical precision — positioning them as better equipped mentors, researchers, and contributors to evidence-based legal scholarship and policy research within the School of Law.