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Welcome to Day 1 of the SPSS Essentials for Research Workshop! In this session, we explore the fundamentals of quantitative research, SPSS basics, and data management techniques that will help you confidently analyze, interpret, and report quantitative data for your research projects. This session is ideal for students, researchers, and educators who are new to SPSS or want to strengthen their understanding of quantitative data analysis. What You’ll Learn in This Video: Definition and scope of quantitative research Understanding research design essentials Types of variables and quantitative measurement scales Navigating the SPSS interface: Data View & Variable View How to set up a new SPSS project and import data Creating, defining, and labeling variables Data cleaning and transformation techniques Handling missing values and outliers effectively Who Should Watch This: University students conducting quantitative research Lecturers and teachers learning SPSS for classroom use Research scholars preparing dissertations or publications Data analysts and beginners in social science research Session Outline (Day 1): Introduction to Quantitative Research & SPSS Basics Getting Started with SPSS Data Management: Cleaning & Transformation Next Session (Day 2 Preview): We’ll cover Descriptive & Inferential Statistics, ANOVA, and Reporting APA-style results in SPSS.