Tobit Research Consulting โ€” Training Resources
๐Ÿ“Š Tobit Research Consulting

Training Resources
& Notes Repository

Download session materials, slides and handouts from all our postgraduate training series

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Postgraduate ยท May 2026

Postgraduate Research Training SeriesResearch Proposal, Thesis Writing & Defense

๐Ÿ•˜ 9:00 AM โ€“ 1:00 PM ๐Ÿ“… 3 Sessions ๐ŸŒ Online ๐Ÿ“… 16th, 23rd, 30th May 2026
โœ… Series Completed
16th May 2026 Session 1: Concept Paper โŒ„

Introduction to concept paper writing, structuring research ideas, identifying research gaps and formulating research objectives.

30th May 2026 Session 3: Thesis Writing โ€” Chapters 4 & 5 โŒ„
  1. Chapter 4: Data Analysis & Presentation โ€” Understanding the purpose of Chapter 4, organising and structuring results/findings, quantitative data (tables, figures, charts), qualitative data (themes, categories, coding, narrative presentation)
  2. Chapter 5: Discussion, Conclusion & Recommendations โ€” The difference between results and discussion, interpreting and making meaning from findings, linking findings back to the literature review (Chapter 2)
SPSS ยท March 2026

Postgraduate SPSS Training SeriesMaster Your Data Analysis Journey

๐Ÿ•˜ 9:30 AM โ€“ 1:00 PM ๐Ÿ“… 3 Sessions ๐ŸŒ Online ๐Ÿ“ž 0728 430 728
โœ… Series Completed
14th March 2026 Session 1: Introduction to Basic SPSS โŒ„
  1. Basic feature of SPSS and Data Management - Preparation of dataset and direct entry, Direct entry and importing values, Data coding and labelling, Splitting Files and Merging of Data sets
  2. Descriptive Statistics - Frequency tables, Graphs, Charts, Custom tables
  3. Pre-test Diagnostic - Normality: Graphical(Histogram), Skewness & Kurtosis, Smirnov Kolmogorov test and Shapiro Wilk test, Multicollinearity: Variance Inflation factor(VIF) and Tolerance
  4. Regression and Correlation - Formulation of Hypothesis, Beta Coefficients, Interpretation of P-Values, Interpretation of t-statistics, R squared and Adjusted R squared, F statistic
21st March 2026 Session 2: Intermediate SPSS โŒ„
  1. Post-test Diagnostic - Linearity: Scatter plots and compare means, Heteroscedasticity: Glejser test, Autocorrelation/serial correlation - Durbin Watson
  2. Hypothesis testing using Parametric tests - T tests (Independent t-test, Paired t-test), Z test, Anova
  3. Hypothesis testing using Non Parametric tests - Chi-Square test (Cross-tabulation), Man Whitney U-test (2k independent Samples), Kruskal Wallis H-test (K independent Samples)
  4. Transformation of Data - Recode into same variable, Recode into Different variables, Compute (logs, lag, averages, sum, products etc)
28th March 2026 Session 3: Advanced SPSS โŒ„
  1. Categorical Regression analysis - Binary logistic regression, Multinomial logistic regression
  2. Reliability and Validity test - Cronbach Alpha, KMO and Bartlet test
  3. Factor Analysis - Communalities, Factor loadings, Scree Plots

๐Ÿ“ Session materials coming soon.

Postgraduate ยท February 2026

Postgraduate Training SeriesResearch Proposal, Thesis Writing & Defense

๐Ÿ•˜ 9:00 AM โ€“ 1:00 PM ๐Ÿ“… 3 Sessions ๐ŸŒ Online ๐Ÿ“… 14th, 21st, 28th Feb 2026
โœ… Series Completed
14th Feb 2026 Session 1: Concept Paper โŒ„
21st Feb 2026 Session 2: Research Proposal โ€” Chapters 1, 2 & 3 โŒ„
28th Feb 2026 Session 3: Thesis Writing โ€” Chapters 4 & 5 โŒ„
  1. Chapter 4: Data Analysis & Presentation โ€” Understanding the purpose of Chapter 4, organising and structuring results/findings, quantitative data (tables, figures, charts), qualitative data (themes, categories, coding, narrative presentation)
  2. Chapter 5: Discussion, Conclusion & Recommendations โ€” The difference between results and discussion, interpreting and making meaning from findings, linking findings back to the literature review (Chapter 2)

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