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Statistical Package for the Social Sciences (SPSS)

This course complements Business Statistics and Quantitative Methods by bridging the gap between theory and practice through SPSS. It enables learners to apply statistical concepts to real-world data analysis, enhance their analytical and research skills, and confidently interpret statistical outputs for academic, business, and decision-making purposes.

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No Certificate / Course on Audit Track

About Course

This course, Statistical Package for the Social Sciences (SPSS): Foundations of Data Analysis and Advanced Decision-Making, introduces learners to essential concepts of data analysis using SPSS software. It begins with data entry and demographic analysis, followed by techniques in descriptive statistics for summarizing and interpreting data. The course also covers reliability testing to ensure the consistency of research instruments. In advanced modules, learners explore correlation analysis to understand relationships between variables, as well as regression techniques including mediation and moderation for deeper statistical insights.

Authorship and Attribution

This course has been curated by Riphah International University faculty and staff using publicly available third-party content and Open Educational Resources (OER) for self-paced learning. Learners will engage with curated open-access materials to achieve the course learning outcomes. All third-party content is used under open-access or fair-use policies, while any original materials are developed specifically for this learning experience.

Source and Credits:

  • Instructor: Kokab Manzoor
  • Provider: YouTube (@KokabManzoor)
  • License: Standard YouTube license

What You'll Learn

By the end of this course, you will be able to:

  • Perform data entry, data cleaning and handling of missing values in SPSS.
  • Conduct and interpret descriptive statistics and reliability analysis.
  • Apply correlation and regression analyses to real world research problems.
  • Interpret SPSS outputs and report findings for academic and business decision making.

Prerequisites

To be successful in this course, learners should have:

  • Basic understanding of fundamental statistical concepts (e.g., variables, data types, and simple descriptive measures).
  • Familiarity with research methods or quantitative coursework.
  • Basic computer skills (file handling, data entry, and software use).
  • Access to SPSS software for practice and application.

Who Can Take This Course?

This course is intended for undergraduate and graduate students in business and social sciences who need practical skills in data analysis. It is especially useful for those working on assignments, research projects, or theses and seeking to apply statistical concepts using SPSS.

Course Outline

Data entry

Data Entry & Demographics Analysis (Video)

Descriptive Statistic (Video)

Reliability

How to Check Reliability in SPSS (Video)

Correlation analysis

How To Run Correlation (Video)

Regression analysis

Mediation (Video)

Moderation (Video)

Skills You Will Gain

SPSS Data Entry Descriptive Statistics Reliability Analysis Correlation Testing Regression Analysis Mediation Modeling Moderation Analysis Data Interpretation

Course Information

Duration

Approximately 1.6 Hours

Course Information

Difficulty Level

Intermediate

Learning Mode

Fully Online (Asynchronous)

Learning Type

Self Paced

Language

Both English and Urdu

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Instructor/Curator

Course Instructor
  • Dr. Kokab Manzoor profile image
    Dr. Kokab Manzoor Assistant Professor, Faculty of Management Sciences (FMS), Riphah International University