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Online Workshop on Basic Statistical Analysis Using SPSS for Social Sciences

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About the Workshop

The EGROW Foundation proudly presents a comprehensive five-day online workshop designed to help participants from the sciences and humanities gain hands-on experience in statistical data analysis using IBM SPSS Statistics.

This workshop blends conceptual clarity with practical application, guiding learners step-by-step from basic data management to advanced analysis techniques. Participants will learn to manage datasets, perform descriptive and inferential statistics, and interpret results for academic research, dissertations, and publications.

By the end of the program, participants will be able to confidently analyze quantitative data, visualize results, and report findings in line with APA and academic standards.

Why Attend?

  • Learn SPSS from experienced trainers
  • Gain research-ready analytical skills
  • Improve your data interpretation and reporting abilities
  • Receive certification from a recognized research foundation

Key details

  • Dates: 16–20 December 2025 (Tuesday-Saturday)
  • Time: 7:00 PM – 9:00 PM (IST)
  • Platform: WebEx
  • Organized by: EGROW Foundation
  • Registration Fee: ₹499/- (till 7th December 2025) | ₹999/- (after 7th December 2025)

Workshop Highlights

Day 1 – Introduction to SPSS and Data Management

  • Overview of SPSS and its relevance in research
  • Understanding Data View, Variable View, and Output Window
  • Defining variables (type, label, values, missing data, measure)
  • Importing data from Excel/CSV and saving datasets
  • Exercise: Enter and save demographic data

Outcome: Understand SPSS structure and manage datasets effectively.

Day 2 – Data Cleaning, Transformation, and Descriptive Analysis

  • Coding and recoding variables (using Recode and Compute)
  • Selecting, sorting, and filtering cases
  • Performing descriptive statistics (mean, median, mode, SD, range)
  • Creating frequency tables and cross-tabulations
  • Visualizing data with charts and histograms

Outcome: Prepare clean data and generate descriptive summaries with visual insights.

Day 3 – Hypothesis Testing and Group Comparisons

  • Understanding hypotheses, significance levels, and p-values
  • Performing Independent Sample t-test for group comparisons
  • Conducting Chi-square tests for categorical data
  • Running One-way and Two-way ANOVA
  • Interpreting outputs and checking assumptions

Outcome: Perform key inferential tests and interpret SPSS outputs confidently.

Day 4 – Correlation and Regression Analysis

  • Exploring variable relationships using Pearson and Spearman correlations
  • Conducting Simple and Multiple Linear Regression
  • Understanding coefficients, R², and significance levels
  • Visualizing regression models and interpreting outputs
  • Formatting APA-style tables and figures

Outcome: Analyze and interpret relationships and predictions using correlation and regression.

Day 5 – Reporting, Interpretation, and Assessment

  • Exporting and formatting SPSS outputs
  • Creating APA-style tables and graphs
  • Writing statistical results for theses or journal articles
  • Quiz and review session
  • Participant reflection and Q&A

Outcome: Present SPSS results in publication-ready format and apply methods independently.

Inclusions

  • Workshop handbook (PDF)
  • Practice datasets
  • Live demonstration and guided exercises
  • Certificate of Participation (on completion of assignments)

Compulsory attendance is required to qualify for certification.

Registration Details

  • Early Bird Fee: ₹499/- (till 7th December 2025)
  • Regular Fee: ₹999/- (after 7th December 2025)
  • Platform: WebEx (joining link shared post-registration)

Registration Form