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Chi-Square Statistic Using SPSS
Course Overview
About This Course
Welcome to Chi-Square Test Using IBM SPSS Statistics, a comprehensive course designed to help you understand and apply the Chi-Square Test, one of the most widely used non-parametric statistical techniques for analyzing categorical data. Whether you are a student, researcher, academic, or data analyst, this course provides the theoretical knowledge and practical skills required to perform Chi-Square analysis confidently using IBM SPSS Statistics.
The course begins with the fundamentals of the Chi-Square Test, explaining its purpose, assumptions, and applications in research. You will learn how to perform the One-Way Chi-Square (Goodness-of-Fit) Test and understand other important variations of the Chi-Square test. Through step-by-step demonstrations in SPSS, you will gain hands-on experience in preparing data, conducting the analysis, interpreting output tables, evaluating statistical significance, and reporting results according to APA style. Practical examples and real-world datasets will help you confidently apply Chi-Square analysis in research and professional settings.
By the end of this course, you will have the confidence to perform Chi-Square tests using IBM SPSS Statistics and apply them effectively in academic research, dissertations, theses, business analytics, healthcare, and social science research.
Learning Outcomes
Understand the concepts, assumptions, and applications of the Chi-Square Test.
Perform Chi-Square tests using IBM SPSS Statistics with confidence.
Analyze and interpret categorical data using Chi-Square test outputs.
Develop and test research hypotheses involving categorical variables.
Report Chi-Square test results in APA style and research-standard format.
Curriculum
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