The Research Analytics for Psychological & Behavioral Sciences crash course is designed to equip students, researchers, and professionals with essential skills in research methodology, data handling, and practical analysis.
Delivered by Dr. Santhosh K.R., Associate Professor, Department of Psychology, CHRIST (Deemed to be University), Bangalore, this program blends theory and practice to help participants gain confidence in conducting impactful psychological and behavioral research.
What You’ll Gain
• Master research design & data handling
• Learn practical analysis techniques
• Gain hands-on experience with real research scenarios • Apply theory to impactful results
• Certificate on completion
Who Should Join?
• Students of Psychology & Behavioral Sciences
• Researchers in social sciences and allied fields
• Mental health professionals seeking research skills
Dr. Santhosh Kareepadath Rajan, Ph.D.
Associate Professor of Psychology, CHRIST University, Bangalore, India
Dr. Santhosh is a behavioral scientist and educator specializing in behavioral decision- making, solution mindset frameworks, and research analytics. His academic interests span across psychometrics, structural equation modeling, and interdisciplinary approaches to decision science. He has successfully led nationally and internationally funded research projects, combining empirical rigor with societal relevance.
His ongoing work connects cognitive science, well-being, and public behavior, with a strong emphasis on translating research into policy and practice. He is an active member of the American Psychological Association (APA), the Society for Judgment and Decision Making (SJDM), and the Association of Solution-Focused Practices – India (ASFPI).
24 hours
Online, offering flexibility and convenience
15 – 31 October 2025 (Weekdays Only) Time: 8:30 – 10:30 PM IST
For additional information about fees and course details, contact us at +91 7599900300 or mindweaverstraining@gmail.com
Date | Day | Time | Topics |
15-Oct-25 | Day 1 | 8:30–10:30 PM | Introduction to research design | Defining research analytics | Linking theory to data | Type of designs: Experimental, quasi-experimental, correlational, longitudinal | Variables: Independent, depenndent, mediators, moderators, controls | Hands on: Mapping theory to measurable variables |
16-Oct-25 | Day 2 | 8:30–10:30 PM | Data structures | Types of data and their meaning | Scales: Self report, performance measures, physiological measures | Data organization | Missing data and outliers | SPSS Vs jamovi | Hands on: Importing and cleaning a small data set in SPSS & jamovi |
17-Oct-25 | Day 3 | 8:30–10:30 PM | Frequency, central tendency, dispersion, skewness, kurtosis | Visualizing distributions (histograms, boxplots, violin plots) | Probability and its relevance in research | Hands on: Summary statistics & visualization |
20-Oct-25 | Day 4 | 8:30–10:30 PM | Exploratory data analysis (EDA) | Identifying patterns & anomalies | Analysis for categorical variables | Data normality | Power analysis | Correlation analysis (Pearson, Spearman) | Hands on: EDA on a dataset |
21-Oct-25 | Day 5 | 8:30–10:30 PM | Hypothesis testing | Null & alternative hypotheses; Type I & II errors | Parametric vs. non-parametric tests | t tests | Effect size | Violation of data normality | Hands-on: t tests to test the hypothesis |
22-Oct-25 | Day 6 | 8:30–10:30 PM | Hypothesis testing | One way ANOVA | Two way ANOVA | Post hoc analysis | Simple effect, main effect, and interaction effect | Effect size | Hands on: ANOVA to test the hypothesis |
23-Oct-25 | Day 7 | 8:30–10:30 PM | Advanced comparisons | Repeated measures ANOVA | Two way repeated measures ANOVA | Simple effect, main effect, and interaction effect | Post hoc analysis ane effect size | Hands-on: Analyzing repeated measures ANOVA |
24-Oct-25 | Day 8 | 8:30–10:30 PM | Multivariate ANOVA | ANCOVA | MANOVA | MANCOVA | Hands on ANCOVA, MANOVA, & MANCOVA |
27-Oct-25 | Day 9 | 8:30–10:30 PM | Regression models | Simple and multiple regression | Hands on: Regression analysis |
28-Oct-25 | Day 10 | 8:30–10:30 PM | Logistic & Multinomial Models of Regression |
29-Oct-25 | Day 11 | 8:30–10:30 PM | Mediation & Moderation | Conceptual models | Mediation analysis | Moderation analysis | Hands on: Mediation and moderation analysis |
30-Oct-25 | Day 12 | 8:30–10:30 PM | Path analysis |
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