SPSS for Academic Research
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Explore how to run tests for academic research with SPSS, the leading statistical software. In this course, Yash Patel dives into SPSS, focusing on how to run and interpret data for the most common types of quantitative tests. Topics include t-tests, analysis of variance (ANOVA), and understanding the statistical measurements behind academic research. Review the tenants of qualitative testing, including the central theorem, P values, and confidence intervals, and specific use cases for tests in SPSS. For each type, Yash provides some general guidelines and assumptions, along with a challenge and solution exercise to practice what you've learned.
Contents:
- Introduction
- 1. General Notions about Science and Research
- 2. Quantitative Research Fundamentals
- 3. One-Sample T-Test
- 4. Paired-Samples T-Test
- 5. Balanced One-Way ANOVA
- 6. Two-Way ANOVA
- 7. Repeated Measures ANOVA
- Conclusion
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Rating | Not enough ratings |
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Length | 2h 42m |
Starts | On Demand (Start anytime) |
Cost | $29/month (Access to entire library- free trial available) |
From | LinkedIn Learning |
Instructor | Yash Patel |
Download Videos | Only via the LinkedIn Learning mobile app |
Language | English |
Subjects | Education |
Tags | Education + Elearning Higher Education IBM SPSS Academic Research IBM SPSS Statistics |
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Rating | Not enough ratings |
---|---|
Length | 2h 42m |
Starts | On Demand (Start anytime) |
Cost | $29/month (Access to entire library- free trial available) |
From | LinkedIn Learning |
Instructor | Yash Patel |
Download Videos | Only via the LinkedIn Learning mobile app |
Language | English |
Subjects | Education |
Tags | Education + Elearning Higher Education IBM SPSS Academic Research IBM SPSS Statistics |
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