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Workshop on Data analysis using SPSS and Research Report Writing

event
Participants
 100
Contact No.
Start Date
 01/07/2023 01:00 PM
End Date
 01/07/2023 04:00 PM
Venue
 GUNI-CMSR
Social Media Share
Description

Workshop on Data analysis using SPSS and Research Report Writing

Ganpat University Centre for Management Studies and Research organized Workshop on Data analysis using SPSS and Research Report Writing for MBA students on 1st July 2023. More than 100 students from MBA (Pharma/ IB/ Agri/LSCM/HHM/FS/BA) had been participated in this skill development research workshop. A workshop focused on "Data Analysis using SPSS and Research Report Writing" for MBA students, the objectives and outcomes should be tailored to ensure that participants not only learn how to use SPSS effectively but also how to translate their analyses into well-structured research reports. Here’s a detailed breakdown:

Objectives

  1. Introduction to SPSS Software:
    • Objective: Familiarize participants with the SPSS (Statistical Package for the Social Sciences) interface and its basic functionalities.
    • Activities: Overview of SPSS features, data entry, and basic operations.
  2. Conducting Data Analysis with SPSS:
    • Objective: Equip students with the skills to perform various statistical analyses using SPSS.
    • Activities: Hands-on sessions on descriptive statistics, inferential statistics, correlation, regression, and hypothesis testing.
  3. Understanding Statistical Outputs:
    • Objective: Teach participants how to interpret SPSS output and extract meaningful insights.
    • Activities: Guided interpretation of SPSS results, including understanding tables, charts, and statistical tests.
  4. Effective Research Report Writing:
    • Objective: Develop skills to write clear and coherent research reports that effectively communicate research findings.
    • Activities: Workshops on structuring reports, presenting statistical results, and drafting conclusions.
  5. Integrating SPSS Results into Research Reports:
    • Objective: Show how to incorporate SPSS analysis results into research reports seamlessly.
    • Activities: Practical exercises on embedding tables, charts, and statistical findings into report sections.
  6. Ethical Considerations and Best Practices:
    • Objective: Address ethical issues and best practices in data analysis and reporting.
    • Activities: Discussions on data privacy, ethical considerations in reporting results, and avoiding common mistakes.

Outcomes

  1. Proficiency in SPSS:
    • Outcome: Participants will be able to navigate SPSS, perform a range of statistical analyses, and handle data efficiently.
  2. Competence in Data Analysis:
    • Outcome: Students will gain practical experience in analyzing data, including running descriptive and inferential statistics, and interpreting the results.
  3. Interpretation of Statistical Results:
    • Outcome: Participants will be able to interpret SPSS output correctly and understand how statistical results relate to their research questions.
  4. Enhanced Research Report Writing Skills:
    • Outcome: Students will develop the ability to write comprehensive research reports, including clear presentation of statistical analyses and findings.
  5. Effective Integration of Results:
    • Outcome: Participants will be skilled at integrating SPSS results into research reports, ensuring that their analyses are well-represented and effectively communicated.
  6. Awareness of Ethical Practices:
    • Outcome: Students will be knowledgeable about ethical considerations in data analysis and reporting and will apply best practices to their research work.

Structure of the Workshop

  1. Introduction to SPSS:
    • Session 1: Overview of SPSS interface and functionalities
    • Session 2: Data entry, manipulation, and basic operations
  2. Hands-on Data Analysis:
    • Session 3: Descriptive statistics and data visualization
    • Session 4: Inferential statistics, including hypothesis testing, correlation, and regression
  3. Interpreting SPSS Outputs:
    • Session 5: Understanding and interpreting SPSS output
    • Session 6: Practical exercises on extracting insights from statistical results
  4. Research Report Writing:
    • Session 7: Structuring a research report and presenting statistical results
    • Session 8: Writing clear conclusions and recommendations based on SPSS results
  5. Integration of SPSS Results into Reports:
    • Session 9: Incorporating SPSS tables, charts, and findings into reports
    • Session 10: Practical exercises on integrating results seamlessly
  6. Ethical Considerations and Best Practices:
    • Session 11: Discussions on ethics in data analysis and reporting
  7. Wrap-Up and Q&A:
    • Session 12: Summary of key learnings and open floor for questions

This structure ensures that MBA students gain hands-on experience with SPSS and learn how to effectively communicate their findings through well-written research reports, while also understanding the importance of ethical considerations in their work.