This Non-Parametric Analysis course is the perfect way to double the number of tools in your stats tool belt. It covers 24+ videos totaling over 3 hours of instructional content on non-parametric statistics, and provides step-by-step guidance on how to conduct, interpret, and report each test in SPSS. As a bonus, you'll also learn how to make quality box plots in SPSS for use in research publications or professional presentations. With lifetime access to the course and the Udemy 30-day money back guarantee, you can be sure you'll be ready to tackle any non-linear, “chunked”, or qualitative data that comes your way.
Working with SPSS
4.5
Youtube17 learners
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This course provides an introduction to working with SPSS. It covers topics such as creating a data entry form in Excel, importing data from Excel, assigning variable and value labels, performing one-way analysis of variance (ANOVA), creating scatterplots, and interpreting the results. Participants will gain the skills necessary to use SPSS for data analysis.
SPSS - Repeated Measures ANOVA
3.0
Youtube12 learners
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SPSS is a powerful statistical software package used to analyze data. It can be used to perform a variety of tests, such as Repeated Measures ANOVA, Pearson's r (+Hypothesis Test), One-Way ANOVA, Linear Regression, Independent Samples t-Test, Descriptive Statistics, and Dependent Samples t-Test. These tests allow users to gain insights into their data and draw meaningful conclusions.
SPSS: Fisher or Chi Square test using SPSS
4.5
Youtube12 learners
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This course provides an overview of the use of SPSS for statistical analysis. It covers Fisher and Chi Square tests, correlation analysis, Mann Whitney and Kruskal Wallis tests, forecasting analysis (e.g. COVID-19) and Kaplan Meier survival analysis. Participants will gain an understanding of the use of SPSS for data analysis and interpretation.
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