he SPSS course is designed to equip learners with comprehensive skills in statistical data analysis using IBM SPSS Statistics. The curriculum encompasses a range of topics, starting with an introduction to the SPSS environment, including navigating the data editor, output viewer, and syntax editor. Participants learn to import data from various sources such as Excel and text files, define variables, and manage datasets effectively. The course delves into data manipulation techniques, including computing and recoding variables, sorting, and merging data, to prepare datasets for analysis. Descriptive statistics are covered extensively, with instruction on generating frequency tables, histograms, and exploring data distributions. Inferential statistics are introduced through hypothesis testing methods like t-tests, ANOVA, and chi-square tests, enabling learners to make data-driven inferences. Advanced topics include correlation and regression analyses, both simple and multiple, to explore relationships between variables. The course also covers multivariate analysis techniques such as factor and cluster analysis, providing insights into complex data structures. Throughout the program, emphasis is placed on practical application, with exercises and assignments that reinforce learning and prepare participants for real-world data analysis scenarios. By the end of the course, learners are proficient in using SPSS for a wide array of statistical analyses, making them valuable assets in fields requiring data-driven decision-making.
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