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FDP on Data Analysis using SPSS

Research and Development Cell of Asian Business School hosted a 5 Days Faculty Development Program on ‘Data Analysis using SPSS’ from 12-16th July, 2022. FDP started with the gracious presence of Dr. Lalitya Vir Srivastava, Director, Asian Education Group and he described explicitly the necessity of Research Methodology & Data Analytics and how it is required to adopt the methodologies and techniques for effective research. Dr. Shweta Batra, Dean Examinations, Asian Education Group also shared her insights and Ms. Bushra, member RDC cell, welcomed all the participants. Mr. Sumit Rastogi, Assistant professor, Asian Business School, was the Resource person of this FDP.

This FDP was intended to train participants with basic & advanced data analysis skills using SPSS to produce quality research work. The key focal point of the training was to identify the right statistical tools and techniques for different research objectives and carrying out data analysis using SPSS. The participants learnt techniques about data entry and analysis in SPSS. In FDP Complete hands-on training methodology was used targeting ‘do how’ rather than only ‘know how’. FDP was successful in fulfilling its learning outcomes enabling the participants to analyze & interpret the concerned data through SPSS. FDP was attended by academicians, research scholars,  and  executives from industry. The participants actively participated in all sessions and were given hands-on experience in working using real data and examples. The Faculty Development Program has covered the following contents with hands-on experience.

Day 1

SPSS – An Introduction

  • Getting to Know SPSS: Starting SPSS, Working with data file, SPSS windows, Menus, Dialogue boxes.
  • Preparing the Data file: Creating data file and entering data, defining the variables, entering data, modifying data file, import file.
  • Cross Tabulation
  • Graphs and Charts
  • Descriptive statistics,
  • Case Study

Day 2

  • Correlation
  • Simple and Multiple linear regression
  • Factor Analysis
  • Case Study

Day 3

  • Hypothesis Testing
  • Null & Alternative Hypothesis
  • Type of errors and types of tests
  • One sample and two independent sample t test, Paired sample t test,

Day 4

  • Independent Chi Square Test,
  • Non-Parametric Tests
  • Case Study

Day 5

  • Factor Analysis
  • Case Study